Created
October 9, 2017 23:26
-
-
Save wassname/6965e83fa6aa6b64cdb55c6f4aa9e88c to your computer and use it in GitHub Desktop.
analysing cryptocoin histories
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "data from json api at https://github.com/CoinCapDev/CoinCap.io\n", | |
| "e.g. http://www.coincap.io/history/1day/BTC" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-23T10:22:55.224655", | |
| "start_time": "2017-02-23T10:22:54.134594" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Using matplotlib backend: Qt4Agg\n", | |
| "Populating the interactive namespace from numpy and matplotlib\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "import requests\n", | |
| "import json\n", | |
| "%pylab --no-import-all\n", | |
| "%matplotlib inline\n", | |
| "plt.rcParams['figure.figsize'] = (10, 10) # bigger plots\n", | |
| "import os\n", | |
| "import pandas as pd\n", | |
| "import arrow\n", | |
| "import dataset\n", | |
| "from tqdm import tqdm\n", | |
| "import time" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# download" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## download crypto coin history" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-23T10:23:01.420672", | |
| "start_time": "2017-02-23T10:23:00.726013" | |
| }, | |
| "code_folding": [], | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <th></th>\n", | |
| " <th colspan=\"3\" halign=\"left\">007</th>\n", | |
| " <th colspan=\"3\" halign=\"left\">1CR</th>\n", | |
| " <th colspan=\"3\" halign=\"left\">8BIT</th>\n", | |
| " <th>ACCI</th>\n", | |
| " <th>...</th>\n", | |
| " <th>ZEIT</th>\n", | |
| " <th colspan=\"3\" halign=\"left\">ZET</th>\n", | |
| " <th colspan=\"3\" halign=\"left\">ZRC</th>\n", | |
| " <th colspan=\"3\" halign=\"left\">ZS</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th></th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>...</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>2013-04-28 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-04-29 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-04-30 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-01 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-02 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-03 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-04 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-05 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-06 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-07 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-08 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-09 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-10 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-11 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-12 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-13 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-14 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-15 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-16 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-17 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-18 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-19 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-20 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-21 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-22 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-23 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-24 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-25 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-26 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-27 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>...</th>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-07 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>131202</td>\n", | |
| " <td>1.906870</td>\n", | |
| " <td>2985.290</td>\n", | |
| " <td>8166</td>\n", | |
| " <td>0.011471</td>\n", | |
| " <td>1454.68000</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>4.72693</td>\n", | |
| " <td>380953</td>\n", | |
| " <td>0.002306</td>\n", | |
| " <td>733.4450</td>\n", | |
| " <td>18473</td>\n", | |
| " <td>0.001446</td>\n", | |
| " <td>10.577700</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-08 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>135062</td>\n", | |
| " <td>1.958130</td>\n", | |
| " <td>8432.190</td>\n", | |
| " <td>8471</td>\n", | |
| " <td>0.011899</td>\n", | |
| " <td>807.71000</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>42.79170</td>\n", | |
| " <td>414546</td>\n", | |
| " <td>0.002509</td>\n", | |
| " <td>577.2190</td>\n", | |
| " <td>11748</td>\n", | |
| " <td>0.000920</td>\n", | |
| " <td>39.983800</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-09 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>124195</td>\n", | |
| " <td>1.796680</td>\n", | |
| " <td>8201.960</td>\n", | |
| " <td>8622</td>\n", | |
| " <td>0.012111</td>\n", | |
| " <td>575.70200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>169.30200</td>\n", | |
| " <td>398704</td>\n", | |
| " <td>0.002413</td>\n", | |
| " <td>244.8520</td>\n", | |
| " <td>10784</td>\n", | |
| " <td>0.000844</td>\n", | |
| " <td>10.633900</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-10 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>129392</td>\n", | |
| " <td>1.867920</td>\n", | |
| " <td>7690.310</td>\n", | |
| " <td>8225</td>\n", | |
| " <td>0.011553</td>\n", | |
| " <td>260.29200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>18.37240</td>\n", | |
| " <td>418769</td>\n", | |
| " <td>0.002535</td>\n", | |
| " <td>1443.9200</td>\n", | |
| " <td>10575</td>\n", | |
| " <td>0.000828</td>\n", | |
| " <td>12.918000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-11 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>153139</td>\n", | |
| " <td>2.205130</td>\n", | |
| " <td>11328.200</td>\n", | |
| " <td>9144</td>\n", | |
| " <td>0.012844</td>\n", | |
| " <td>284.02200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>13.88110</td>\n", | |
| " <td>406794</td>\n", | |
| " <td>0.002462</td>\n", | |
| " <td>917.1470</td>\n", | |
| " <td>10211</td>\n", | |
| " <td>0.000799</td>\n", | |
| " <td>4.139200</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-12 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>138044</td>\n", | |
| " <td>1.982940</td>\n", | |
| " <td>5467.240</td>\n", | |
| " <td>9472</td>\n", | |
| " <td>0.013305</td>\n", | |
| " <td>289.58700</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>29.23070</td>\n", | |
| " <td>423150</td>\n", | |
| " <td>0.002561</td>\n", | |
| " <td>820.5390</td>\n", | |
| " <td>10297</td>\n", | |
| " <td>0.000806</td>\n", | |
| " <td>3.497450</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-13 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>136122</td>\n", | |
| " <td>1.950880</td>\n", | |
| " <td>1905.540</td>\n", | |
| " <td>9623</td>\n", | |
| " <td>0.013517</td>\n", | |
| " <td>149.67200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>21.31290</td>\n", | |
| " <td>422691</td>\n", | |
| " <td>0.002558</td>\n", | |
| " <td>782.1050</td>\n", | |
| " <td>10172</td>\n", | |
| " <td>0.000796</td>\n", | |
| " <td>35.580200</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-14 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>131856</td>\n", | |
| " <td>1.885170</td>\n", | |
| " <td>2960.280</td>\n", | |
| " <td>9503</td>\n", | |
| " <td>0.013348</td>\n", | |
| " <td>289.09900</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>403.58200</td>\n", | |
| " <td>405366</td>\n", | |
| " <td>0.002453</td>\n", | |
| " <td>1057.0000</td>\n", | |
| " <td>10175</td>\n", | |
| " <td>0.000797</td>\n", | |
| " <td>42.657200</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-15 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>146485</td>\n", | |
| " <td>2.089690</td>\n", | |
| " <td>3691.850</td>\n", | |
| " <td>9153</td>\n", | |
| " <td>0.012857</td>\n", | |
| " <td>203.36200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>160.58200</td>\n", | |
| " <td>430385</td>\n", | |
| " <td>0.002605</td>\n", | |
| " <td>416.5720</td>\n", | |
| " <td>10267</td>\n", | |
| " <td>0.000804</td>\n", | |
| " <td>27.721400</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-16 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>134129</td>\n", | |
| " <td>1.908910</td>\n", | |
| " <td>616.710</td>\n", | |
| " <td>9986</td>\n", | |
| " <td>0.014026</td>\n", | |
| " <td>232.48100</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>27.44060</td>\n", | |
| " <td>422191</td>\n", | |
| " <td>0.002555</td>\n", | |
| " <td>1074.0300</td>\n", | |
| " <td>10489</td>\n", | |
| " <td>0.000821</td>\n", | |
| " <td>20.544000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-17 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>135247</td>\n", | |
| " <td>1.920660</td>\n", | |
| " <td>1284.530</td>\n", | |
| " <td>8864</td>\n", | |
| " <td>0.012450</td>\n", | |
| " <td>123.51100</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>44.93940</td>\n", | |
| " <td>399475</td>\n", | |
| " <td>0.002417</td>\n", | |
| " <td>947.6060</td>\n", | |
| " <td>10399</td>\n", | |
| " <td>0.000814</td>\n", | |
| " <td>0.055712</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-18 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>133548</td>\n", | |
| " <td>1.892560</td>\n", | |
| " <td>561.786</td>\n", | |
| " <td>9162</td>\n", | |
| " <td>0.012869</td>\n", | |
| " <td>337.84200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>681.95700</td>\n", | |
| " <td>391753</td>\n", | |
| " <td>0.002371</td>\n", | |
| " <td>59.6472</td>\n", | |
| " <td>10316</td>\n", | |
| " <td>0.000808</td>\n", | |
| " <td>30.381400</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-19 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>54819</td>\n", | |
| " <td>0.775576</td>\n", | |
| " <td>30425.800</td>\n", | |
| " <td>10162</td>\n", | |
| " <td>0.014274</td>\n", | |
| " <td>342.80000</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>15.81800</td>\n", | |
| " <td>401294</td>\n", | |
| " <td>0.002428</td>\n", | |
| " <td>626.5740</td>\n", | |
| " <td>10213</td>\n", | |
| " <td>0.000800</td>\n", | |
| " <td>9.506720</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-20 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>46810</td>\n", | |
| " <td>0.661667</td>\n", | |
| " <td>14380.600</td>\n", | |
| " <td>8949</td>\n", | |
| " <td>0.012570</td>\n", | |
| " <td>109.75800</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>45.04890</td>\n", | |
| " <td>398917</td>\n", | |
| " <td>0.002414</td>\n", | |
| " <td>367.4990</td>\n", | |
| " <td>10342</td>\n", | |
| " <td>0.000810</td>\n", | |
| " <td>13.293900</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-21 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>41192</td>\n", | |
| " <td>0.582252</td>\n", | |
| " <td>2270.200</td>\n", | |
| " <td>8897</td>\n", | |
| " <td>0.012497</td>\n", | |
| " <td>254.25900</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>105.62100</td>\n", | |
| " <td>400378</td>\n", | |
| " <td>0.002423</td>\n", | |
| " <td>572.7480</td>\n", | |
| " <td>10534</td>\n", | |
| " <td>0.000825</td>\n", | |
| " <td>16.412000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-22 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>31755</td>\n", | |
| " <td>0.448863</td>\n", | |
| " <td>3703.930</td>\n", | |
| " <td>10351</td>\n", | |
| " <td>0.014540</td>\n", | |
| " <td>159.85900</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>73.89660</td>\n", | |
| " <td>392904</td>\n", | |
| " <td>0.002377</td>\n", | |
| " <td>272.2680</td>\n", | |
| " <td>11277</td>\n", | |
| " <td>0.000883</td>\n", | |
| " <td>55.874800</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-23 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>31286</td>\n", | |
| " <td>0.442229</td>\n", | |
| " <td>755.973</td>\n", | |
| " <td>9611</td>\n", | |
| " <td>0.013500</td>\n", | |
| " <td>329.43500</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>53.36030</td>\n", | |
| " <td>418984</td>\n", | |
| " <td>0.002535</td>\n", | |
| " <td>979.0470</td>\n", | |
| " <td>11584</td>\n", | |
| " <td>0.000907</td>\n", | |
| " <td>16.409900</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-24 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>35873</td>\n", | |
| " <td>0.507067</td>\n", | |
| " <td>958.943</td>\n", | |
| " <td>8945</td>\n", | |
| " <td>0.012565</td>\n", | |
| " <td>39.23770</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>85.06190</td>\n", | |
| " <td>419654</td>\n", | |
| " <td>0.002539</td>\n", | |
| " <td>2036.2600</td>\n", | |
| " <td>11548</td>\n", | |
| " <td>0.000904</td>\n", | |
| " <td>5.902280</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-25 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>32319</td>\n", | |
| " <td>0.456833</td>\n", | |
| " <td>712.699</td>\n", | |
| " <td>7828</td>\n", | |
| " <td>0.010996</td>\n", | |
| " <td>64.29970</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>135.34300</td>\n", | |
| " <td>397604</td>\n", | |
| " <td>0.002405</td>\n", | |
| " <td>369.1160</td>\n", | |
| " <td>11023</td>\n", | |
| " <td>0.000863</td>\n", | |
| " <td>388.331000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-26 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>33030</td>\n", | |
| " <td>0.466200</td>\n", | |
| " <td>657.728</td>\n", | |
| " <td>9001</td>\n", | |
| " <td>0.012644</td>\n", | |
| " <td>52.75430</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>30.41500</td>\n", | |
| " <td>424332</td>\n", | |
| " <td>0.002567</td>\n", | |
| " <td>433.3510</td>\n", | |
| " <td>11481</td>\n", | |
| " <td>0.000899</td>\n", | |
| " <td>12.911500</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-27 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>31628</td>\n", | |
| " <td>0.445404</td>\n", | |
| " <td>1834.520</td>\n", | |
| " <td>9095</td>\n", | |
| " <td>0.012775</td>\n", | |
| " <td>125.70900</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>321.33100</td>\n", | |
| " <td>404884</td>\n", | |
| " <td>0.002449</td>\n", | |
| " <td>2134.0600</td>\n", | |
| " <td>11784</td>\n", | |
| " <td>0.000923</td>\n", | |
| " <td>184.754000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-28 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>27805</td>\n", | |
| " <td>0.385657</td>\n", | |
| " <td>1310.560</td>\n", | |
| " <td>9047</td>\n", | |
| " <td>0.012708</td>\n", | |
| " <td>96.28830</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>157.96600</td>\n", | |
| " <td>464599</td>\n", | |
| " <td>0.002811</td>\n", | |
| " <td>1274.3900</td>\n", | |
| " <td>12360</td>\n", | |
| " <td>0.000968</td>\n", | |
| " <td>3.456220</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-29 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>25458</td>\n", | |
| " <td>0.353036</td>\n", | |
| " <td>1673.300</td>\n", | |
| " <td>8383</td>\n", | |
| " <td>0.011775</td>\n", | |
| " <td>94.14810</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>79.97320</td>\n", | |
| " <td>417289</td>\n", | |
| " <td>0.002524</td>\n", | |
| " <td>519.2140</td>\n", | |
| " <td>12419</td>\n", | |
| " <td>0.000972</td>\n", | |
| " <td>27.560100</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-30 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>20661</td>\n", | |
| " <td>0.285743</td>\n", | |
| " <td>2353.320</td>\n", | |
| " <td>8144</td>\n", | |
| " <td>0.011440</td>\n", | |
| " <td>152.12700</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>294.01400</td>\n", | |
| " <td>391127</td>\n", | |
| " <td>0.002366</td>\n", | |
| " <td>228.1880</td>\n", | |
| " <td>11948</td>\n", | |
| " <td>0.000935</td>\n", | |
| " <td>71.528700</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-31 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>20792</td>\n", | |
| " <td>0.286883</td>\n", | |
| " <td>4897.410</td>\n", | |
| " <td>8127</td>\n", | |
| " <td>0.011415</td>\n", | |
| " <td>27.68950</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>12.99360</td>\n", | |
| " <td>421838</td>\n", | |
| " <td>0.002552</td>\n", | |
| " <td>137.9380</td>\n", | |
| " <td>12172</td>\n", | |
| " <td>0.000953</td>\n", | |
| " <td>4.066120</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-01 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>23226</td>\n", | |
| " <td>0.319745</td>\n", | |
| " <td>784.758</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>12.68390</td>\n", | |
| " <td>399328</td>\n", | |
| " <td>0.002415</td>\n", | |
| " <td>274.0240</td>\n", | |
| " <td>12354</td>\n", | |
| " <td>0.000967</td>\n", | |
| " <td>18.376100</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-02 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>20838</td>\n", | |
| " <td>0.286249</td>\n", | |
| " <td>1942.420</td>\n", | |
| " <td>7876</td>\n", | |
| " <td>0.011064</td>\n", | |
| " <td>88.82730</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>59.04650</td>\n", | |
| " <td>405360</td>\n", | |
| " <td>0.002452</td>\n", | |
| " <td>1784.5500</td>\n", | |
| " <td>13058</td>\n", | |
| " <td>0.001022</td>\n", | |
| " <td>66.134600</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-03 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>19542</td>\n", | |
| " <td>0.267980</td>\n", | |
| " <td>1214.060</td>\n", | |
| " <td>8674</td>\n", | |
| " <td>0.012184</td>\n", | |
| " <td>99.44730</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>77.31590</td>\n", | |
| " <td>399607</td>\n", | |
| " <td>0.002417</td>\n", | |
| " <td>1148.8300</td>\n", | |
| " <td>13262</td>\n", | |
| " <td>0.001038</td>\n", | |
| " <td>29.433400</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-04 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>14492</td>\n", | |
| " <td>0.198464</td>\n", | |
| " <td>8522.180</td>\n", | |
| " <td>9552</td>\n", | |
| " <td>0.013417</td>\n", | |
| " <td>9.66115</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>46.79530</td>\n", | |
| " <td>402245</td>\n", | |
| " <td>0.002433</td>\n", | |
| " <td>312.5680</td>\n", | |
| " <td>13771</td>\n", | |
| " <td>0.001078</td>\n", | |
| " <td>41.858000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-05 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>15452</td>\n", | |
| " <td>0.211548</td>\n", | |
| " <td>3578.680</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>19.58740</td>\n", | |
| " <td>390390</td>\n", | |
| " <td>0.002361</td>\n", | |
| " <td>1372.8300</td>\n", | |
| " <td>14757</td>\n", | |
| " <td>0.001155</td>\n", | |
| " <td>301.595000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>1349 rows × 1395 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " 007 1CR \\\n", | |
| " market_cap price volume market_cap price \n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "... ... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 NaN NaN NaN 131202 1.906870 \n", | |
| "2016-12-08 00:00:00+00:00 NaN NaN NaN 135062 1.958130 \n", | |
| "2016-12-09 00:00:00+00:00 NaN NaN NaN 124195 1.796680 \n", | |
| "2016-12-10 00:00:00+00:00 NaN NaN NaN 129392 1.867920 \n", | |
| "2016-12-11 00:00:00+00:00 NaN NaN NaN 153139 2.205130 \n", | |
| "2016-12-12 00:00:00+00:00 NaN NaN NaN 138044 1.982940 \n", | |
| "2016-12-13 00:00:00+00:00 NaN NaN NaN 136122 1.950880 \n", | |
| "2016-12-14 00:00:00+00:00 NaN NaN NaN 131856 1.885170 \n", | |
| "2016-12-15 00:00:00+00:00 NaN NaN NaN 146485 2.089690 \n", | |
| "2016-12-16 00:00:00+00:00 NaN NaN NaN 134129 1.908910 \n", | |
| "2016-12-17 00:00:00+00:00 NaN NaN NaN 135247 1.920660 \n", | |
| "2016-12-18 00:00:00+00:00 NaN NaN NaN 133548 1.892560 \n", | |
| "2016-12-19 00:00:00+00:00 NaN NaN NaN 54819 0.775576 \n", | |
| "2016-12-20 00:00:00+00:00 NaN NaN NaN 46810 0.661667 \n", | |
| "2016-12-21 00:00:00+00:00 NaN NaN NaN 41192 0.582252 \n", | |
| "2016-12-22 00:00:00+00:00 NaN NaN NaN 31755 0.448863 \n", | |
| "2016-12-23 00:00:00+00:00 NaN NaN NaN 31286 0.442229 \n", | |
| "2016-12-24 00:00:00+00:00 NaN NaN NaN 35873 0.507067 \n", | |
| "2016-12-25 00:00:00+00:00 NaN NaN NaN 32319 0.456833 \n", | |
| "2016-12-26 00:00:00+00:00 NaN NaN NaN 33030 0.466200 \n", | |
| "2016-12-27 00:00:00+00:00 NaN NaN NaN 31628 0.445404 \n", | |
| "2016-12-28 00:00:00+00:00 NaN NaN NaN 27805 0.385657 \n", | |
| "2016-12-29 00:00:00+00:00 NaN NaN NaN 25458 0.353036 \n", | |
| "2016-12-30 00:00:00+00:00 NaN NaN NaN 20661 0.285743 \n", | |
| "2016-12-31 00:00:00+00:00 NaN NaN NaN 20792 0.286883 \n", | |
| "2017-01-01 00:00:00+00:00 NaN NaN NaN 23226 0.319745 \n", | |
| "2017-01-02 00:00:00+00:00 NaN NaN NaN 20838 0.286249 \n", | |
| "2017-01-03 00:00:00+00:00 NaN NaN NaN 19542 0.267980 \n", | |
| "2017-01-04 00:00:00+00:00 NaN NaN NaN 14492 0.198464 \n", | |
| "2017-01-05 00:00:00+00:00 NaN NaN NaN 15452 0.211548 \n", | |
| "\n", | |
| " 8BIT \\\n", | |
| " volume market_cap price volume \n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 2985.290 8166 0.011471 1454.68000 \n", | |
| "2016-12-08 00:00:00+00:00 8432.190 8471 0.011899 807.71000 \n", | |
| "2016-12-09 00:00:00+00:00 8201.960 8622 0.012111 575.70200 \n", | |
| "2016-12-10 00:00:00+00:00 7690.310 8225 0.011553 260.29200 \n", | |
| "2016-12-11 00:00:00+00:00 11328.200 9144 0.012844 284.02200 \n", | |
| "2016-12-12 00:00:00+00:00 5467.240 9472 0.013305 289.58700 \n", | |
| "2016-12-13 00:00:00+00:00 1905.540 9623 0.013517 149.67200 \n", | |
| "2016-12-14 00:00:00+00:00 2960.280 9503 0.013348 289.09900 \n", | |
| "2016-12-15 00:00:00+00:00 3691.850 9153 0.012857 203.36200 \n", | |
| "2016-12-16 00:00:00+00:00 616.710 9986 0.014026 232.48100 \n", | |
| "2016-12-17 00:00:00+00:00 1284.530 8864 0.012450 123.51100 \n", | |
| "2016-12-18 00:00:00+00:00 561.786 9162 0.012869 337.84200 \n", | |
| "2016-12-19 00:00:00+00:00 30425.800 10162 0.014274 342.80000 \n", | |
| "2016-12-20 00:00:00+00:00 14380.600 8949 0.012570 109.75800 \n", | |
| "2016-12-21 00:00:00+00:00 2270.200 8897 0.012497 254.25900 \n", | |
| "2016-12-22 00:00:00+00:00 3703.930 10351 0.014540 159.85900 \n", | |
| "2016-12-23 00:00:00+00:00 755.973 9611 0.013500 329.43500 \n", | |
| "2016-12-24 00:00:00+00:00 958.943 8945 0.012565 39.23770 \n", | |
| "2016-12-25 00:00:00+00:00 712.699 7828 0.010996 64.29970 \n", | |
| "2016-12-26 00:00:00+00:00 657.728 9001 0.012644 52.75430 \n", | |
| "2016-12-27 00:00:00+00:00 1834.520 9095 0.012775 125.70900 \n", | |
| "2016-12-28 00:00:00+00:00 1310.560 9047 0.012708 96.28830 \n", | |
| "2016-12-29 00:00:00+00:00 1673.300 8383 0.011775 94.14810 \n", | |
| "2016-12-30 00:00:00+00:00 2353.320 8144 0.011440 152.12700 \n", | |
| "2016-12-31 00:00:00+00:00 4897.410 8127 0.011415 27.68950 \n", | |
| "2017-01-01 00:00:00+00:00 784.758 NaN NaN NaN \n", | |
| "2017-01-02 00:00:00+00:00 1942.420 7876 0.011064 88.82730 \n", | |
| "2017-01-03 00:00:00+00:00 1214.060 8674 0.012184 99.44730 \n", | |
| "2017-01-04 00:00:00+00:00 8522.180 9552 0.013417 9.66115 \n", | |
| "2017-01-05 00:00:00+00:00 3578.680 NaN NaN NaN \n", | |
| "\n", | |
| " ACCI ... ZEIT ZET \\\n", | |
| " market_cap ... volume market_cap price \n", | |
| "2013-04-28 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "... ... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 0 ... 4.72693 380953 0.002306 \n", | |
| "2016-12-08 00:00:00+00:00 0 ... 42.79170 414546 0.002509 \n", | |
| "2016-12-09 00:00:00+00:00 0 ... 169.30200 398704 0.002413 \n", | |
| "2016-12-10 00:00:00+00:00 0 ... 18.37240 418769 0.002535 \n", | |
| "2016-12-11 00:00:00+00:00 0 ... 13.88110 406794 0.002462 \n", | |
| "2016-12-12 00:00:00+00:00 0 ... 29.23070 423150 0.002561 \n", | |
| "2016-12-13 00:00:00+00:00 0 ... 21.31290 422691 0.002558 \n", | |
| "2016-12-14 00:00:00+00:00 0 ... 403.58200 405366 0.002453 \n", | |
| "2016-12-15 00:00:00+00:00 0 ... 160.58200 430385 0.002605 \n", | |
| "2016-12-16 00:00:00+00:00 0 ... 27.44060 422191 0.002555 \n", | |
| "2016-12-17 00:00:00+00:00 0 ... 44.93940 399475 0.002417 \n", | |
| "2016-12-18 00:00:00+00:00 0 ... 681.95700 391753 0.002371 \n", | |
| "2016-12-19 00:00:00+00:00 0 ... 15.81800 401294 0.002428 \n", | |
| "2016-12-20 00:00:00+00:00 0 ... 45.04890 398917 0.002414 \n", | |
| "2016-12-21 00:00:00+00:00 0 ... 105.62100 400378 0.002423 \n", | |
| "2016-12-22 00:00:00+00:00 0 ... 73.89660 392904 0.002377 \n", | |
| "2016-12-23 00:00:00+00:00 0 ... 53.36030 418984 0.002535 \n", | |
| "2016-12-24 00:00:00+00:00 0 ... 85.06190 419654 0.002539 \n", | |
| "2016-12-25 00:00:00+00:00 0 ... 135.34300 397604 0.002405 \n", | |
| "2016-12-26 00:00:00+00:00 0 ... 30.41500 424332 0.002567 \n", | |
| "2016-12-27 00:00:00+00:00 0 ... 321.33100 404884 0.002449 \n", | |
| "2016-12-28 00:00:00+00:00 0 ... 157.96600 464599 0.002811 \n", | |
| "2016-12-29 00:00:00+00:00 0 ... 79.97320 417289 0.002524 \n", | |
| "2016-12-30 00:00:00+00:00 0 ... 294.01400 391127 0.002366 \n", | |
| "2016-12-31 00:00:00+00:00 0 ... 12.99360 421838 0.002552 \n", | |
| "2017-01-01 00:00:00+00:00 0 ... 12.68390 399328 0.002415 \n", | |
| "2017-01-02 00:00:00+00:00 0 ... 59.04650 405360 0.002452 \n", | |
| "2017-01-03 00:00:00+00:00 0 ... 77.31590 399607 0.002417 \n", | |
| "2017-01-04 00:00:00+00:00 0 ... 46.79530 402245 0.002433 \n", | |
| "2017-01-05 00:00:00+00:00 0 ... 19.58740 390390 0.002361 \n", | |
| "\n", | |
| " ZRC \\\n", | |
| " volume market_cap price volume \n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 733.4450 18473 0.001446 10.577700 \n", | |
| "2016-12-08 00:00:00+00:00 577.2190 11748 0.000920 39.983800 \n", | |
| "2016-12-09 00:00:00+00:00 244.8520 10784 0.000844 10.633900 \n", | |
| "2016-12-10 00:00:00+00:00 1443.9200 10575 0.000828 12.918000 \n", | |
| "2016-12-11 00:00:00+00:00 917.1470 10211 0.000799 4.139200 \n", | |
| "2016-12-12 00:00:00+00:00 820.5390 10297 0.000806 3.497450 \n", | |
| "2016-12-13 00:00:00+00:00 782.1050 10172 0.000796 35.580200 \n", | |
| "2016-12-14 00:00:00+00:00 1057.0000 10175 0.000797 42.657200 \n", | |
| "2016-12-15 00:00:00+00:00 416.5720 10267 0.000804 27.721400 \n", | |
| "2016-12-16 00:00:00+00:00 1074.0300 10489 0.000821 20.544000 \n", | |
| "2016-12-17 00:00:00+00:00 947.6060 10399 0.000814 0.055712 \n", | |
| "2016-12-18 00:00:00+00:00 59.6472 10316 0.000808 30.381400 \n", | |
| "2016-12-19 00:00:00+00:00 626.5740 10213 0.000800 9.506720 \n", | |
| "2016-12-20 00:00:00+00:00 367.4990 10342 0.000810 13.293900 \n", | |
| "2016-12-21 00:00:00+00:00 572.7480 10534 0.000825 16.412000 \n", | |
| "2016-12-22 00:00:00+00:00 272.2680 11277 0.000883 55.874800 \n", | |
| "2016-12-23 00:00:00+00:00 979.0470 11584 0.000907 16.409900 \n", | |
| "2016-12-24 00:00:00+00:00 2036.2600 11548 0.000904 5.902280 \n", | |
| "2016-12-25 00:00:00+00:00 369.1160 11023 0.000863 388.331000 \n", | |
| "2016-12-26 00:00:00+00:00 433.3510 11481 0.000899 12.911500 \n", | |
| "2016-12-27 00:00:00+00:00 2134.0600 11784 0.000923 184.754000 \n", | |
| "2016-12-28 00:00:00+00:00 1274.3900 12360 0.000968 3.456220 \n", | |
| "2016-12-29 00:00:00+00:00 519.2140 12419 0.000972 27.560100 \n", | |
| "2016-12-30 00:00:00+00:00 228.1880 11948 0.000935 71.528700 \n", | |
| "2016-12-31 00:00:00+00:00 137.9380 12172 0.000953 4.066120 \n", | |
| "2017-01-01 00:00:00+00:00 274.0240 12354 0.000967 18.376100 \n", | |
| "2017-01-02 00:00:00+00:00 1784.5500 13058 0.001022 66.134600 \n", | |
| "2017-01-03 00:00:00+00:00 1148.8300 13262 0.001038 29.433400 \n", | |
| "2017-01-04 00:00:00+00:00 312.5680 13771 0.001078 41.858000 \n", | |
| "2017-01-05 00:00:00+00:00 1372.8300 14757 0.001155 301.595000 \n", | |
| "\n", | |
| " ZS \n", | |
| " market_cap price volume \n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN \n", | |
| "... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-08 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-09 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-10 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-11 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-12 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-13 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-14 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-15 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-16 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-17 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-18 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-19 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-20 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-21 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-22 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-23 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-24 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-25 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-26 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-27 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-28 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-29 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-30 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-31 00:00:00+00:00 NaN NaN NaN \n", | |
| "2017-01-01 00:00:00+00:00 NaN NaN NaN \n", | |
| "2017-01-02 00:00:00+00:00 NaN NaN NaN \n", | |
| "2017-01-03 00:00:00+00:00 NaN NaN NaN \n", | |
| "2017-01-04 00:00:00+00:00 NaN NaN NaN \n", | |
| "2017-01-05 00:00:00+00:00 NaN NaN NaN \n", | |
| "\n", | |
| "[1349 rows x 1395 columns]" | |
| ] | |
| }, | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "save_file = './data/cryptocoins.pickle'\n", | |
| "df = pd.read_pickle(save_file)\n", | |
| "df" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "heading_collapsed": true | |
| }, | |
| "source": [ | |
| "# data gather" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "collapsed": true, | |
| "hidden": true | |
| }, | |
| "outputs": [], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T11:56:02.693857", | |
| "start_time": "2017-02-22T11:56:02.686117" | |
| }, | |
| "collapsed": false, | |
| "hidden": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "if not os.path.isfile(save_file):\n", | |
| " r_coin = requests.get('http://www.coincap.io/coins')\n", | |
| " coins = json.loads(r_coin.content.decode())\n", | |
| " coins\n", | |
| " coin='BTC'\n", | |
| " history={}\n", | |
| "\n", | |
| " # get data\n", | |
| " r_hist = requests.get('http://www.coincap.io/history/{coin:}'.format(coin=coin))\n", | |
| " history_raw = json.loads(r_hist.content.decode())\n", | |
| "\n", | |
| " for key in history_raw:\n", | |
| " series_data = history_raw[key]\n", | |
| " # convert timestamps to datetimeindex\n", | |
| " index = pd.DatetimeIndex([arrow.get(d/1000).datetime for d,v in series_data])\n", | |
| " series = pd.Series([v for d,v in series_data], index=index).resample('D')\n", | |
| " history[coin+'|'+key] = series\n", | |
| "\n", | |
| " main_index= series.index" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T10:18:17.010634", | |
| "start_time": "2017-02-22T10:18:15.412183" | |
| }, | |
| "collapsed": true, | |
| "hidden": true | |
| }, | |
| "outputs": [], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T11:24:21.309472", | |
| "start_time": "2017-02-22T11:24:21.302066" | |
| }, | |
| "collapsed": false, | |
| "hidden": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "if not os.path.isfile(save_file):\n", | |
| "\n", | |
| " for coin in tqdm(coins):\n", | |
| "\n", | |
| " if coin not in [key.split('|')[0] for key in history]:\n", | |
| " try:\n", | |
| " # get data\n", | |
| " r_hist = requests.get('http://www.coincap.io/history/{coin:}'.format(coin=coin))\n", | |
| " content = r_hist.content.decode()\n", | |
| " if content!='null':\n", | |
| " history_raw = json.loads(content)\n", | |
| "\n", | |
| " # convert each into a pandas timeseries\n", | |
| " for key in history_raw:\n", | |
| " series_data = history_raw[key]\n", | |
| " # convert timestamps to datetimeindex\n", | |
| " index = pd.DatetimeIndex([arrow.get(d/1000).datetime for d,v in series_data])\n", | |
| " series = pd.Series([v for d,v in series_data], index=index)\n", | |
| " series = series.resample('D')\n", | |
| " history[coin+'|'+key] = series\n", | |
| " except:\n", | |
| " pass\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T11:24:33.358701", | |
| "start_time": "2017-02-22T11:24:33.352449" | |
| }, | |
| "collapsed": false, | |
| "hidden": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "if not os.path.isfile(save_file):\n", | |
| " # make into dataframe\n", | |
| " df = pd.DataFrame.from_dict(history)\n", | |
| "\n", | |
| " # split into multiindex by coin\n", | |
| " df.columns = pd.MultiIndex.from_tuples([tuple(c.split('|')) for c in df.columns])\n", | |
| " df.columns.names=['Coin','Attribute']\n", | |
| " df\n", | |
| "\n", | |
| "# sort by market cap" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "hidden": true | |
| }, | |
| "source": [ | |
| "## save" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T11:56:04.721367", | |
| "start_time": "2017-02-22T11:56:04.715010" | |
| }, | |
| "collapsed": false, | |
| "hidden": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "if not os.path.isfile(save_file):\n", | |
| " df.to_pickle(save_file)\n", | |
| " print('saved')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T11:56:04.979146", | |
| "start_time": "2017-02-22T11:56:04.905904" | |
| }, | |
| "collapsed": false, | |
| "hidden": true | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <th></th>\n", | |
| " <th colspan=\"3\" halign=\"left\">007</th>\n", | |
| " <th colspan=\"3\" halign=\"left\">1CR</th>\n", | |
| " <th colspan=\"3\" halign=\"left\">8BIT</th>\n", | |
| " <th>ACCI</th>\n", | |
| " <th>...</th>\n", | |
| " <th>ZEIT</th>\n", | |
| " <th colspan=\"3\" halign=\"left\">ZET</th>\n", | |
| " <th colspan=\"3\" halign=\"left\">ZRC</th>\n", | |
| " <th colspan=\"3\" halign=\"left\">ZS</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th></th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>...</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>2013-04-28 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-04-29 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-04-30 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-01 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-02 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-03 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-04 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-05 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-06 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-07 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-08 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-09 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-10 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-11 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-12 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-13 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-14 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-15 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-16 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-17 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-18 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-19 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-20 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-21 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-22 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-23 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-24 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-25 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-26 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-27 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>...</th>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-07 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>131202</td>\n", | |
| " <td>1.906870</td>\n", | |
| " <td>2985.290</td>\n", | |
| " <td>8166</td>\n", | |
| " <td>0.011471</td>\n", | |
| " <td>1454.68000</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>4.72693</td>\n", | |
| " <td>380953</td>\n", | |
| " <td>0.002306</td>\n", | |
| " <td>733.4450</td>\n", | |
| " <td>18473</td>\n", | |
| " <td>0.001446</td>\n", | |
| " <td>10.577700</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-08 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>135062</td>\n", | |
| " <td>1.958130</td>\n", | |
| " <td>8432.190</td>\n", | |
| " <td>8471</td>\n", | |
| " <td>0.011899</td>\n", | |
| " <td>807.71000</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>42.79170</td>\n", | |
| " <td>414546</td>\n", | |
| " <td>0.002509</td>\n", | |
| " <td>577.2190</td>\n", | |
| " <td>11748</td>\n", | |
| " <td>0.000920</td>\n", | |
| " <td>39.983800</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-09 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>124195</td>\n", | |
| " <td>1.796680</td>\n", | |
| " <td>8201.960</td>\n", | |
| " <td>8622</td>\n", | |
| " <td>0.012111</td>\n", | |
| " <td>575.70200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>169.30200</td>\n", | |
| " <td>398704</td>\n", | |
| " <td>0.002413</td>\n", | |
| " <td>244.8520</td>\n", | |
| " <td>10784</td>\n", | |
| " <td>0.000844</td>\n", | |
| " <td>10.633900</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-10 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>129392</td>\n", | |
| " <td>1.867920</td>\n", | |
| " <td>7690.310</td>\n", | |
| " <td>8225</td>\n", | |
| " <td>0.011553</td>\n", | |
| " <td>260.29200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>18.37240</td>\n", | |
| " <td>418769</td>\n", | |
| " <td>0.002535</td>\n", | |
| " <td>1443.9200</td>\n", | |
| " <td>10575</td>\n", | |
| " <td>0.000828</td>\n", | |
| " <td>12.918000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-11 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>153139</td>\n", | |
| " <td>2.205130</td>\n", | |
| " <td>11328.200</td>\n", | |
| " <td>9144</td>\n", | |
| " <td>0.012844</td>\n", | |
| " <td>284.02200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>13.88110</td>\n", | |
| " <td>406794</td>\n", | |
| " <td>0.002462</td>\n", | |
| " <td>917.1470</td>\n", | |
| " <td>10211</td>\n", | |
| " <td>0.000799</td>\n", | |
| " <td>4.139200</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-12 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>138044</td>\n", | |
| " <td>1.982940</td>\n", | |
| " <td>5467.240</td>\n", | |
| " <td>9472</td>\n", | |
| " <td>0.013305</td>\n", | |
| " <td>289.58700</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>29.23070</td>\n", | |
| " <td>423150</td>\n", | |
| " <td>0.002561</td>\n", | |
| " <td>820.5390</td>\n", | |
| " <td>10297</td>\n", | |
| " <td>0.000806</td>\n", | |
| " <td>3.497450</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-13 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>136122</td>\n", | |
| " <td>1.950880</td>\n", | |
| " <td>1905.540</td>\n", | |
| " <td>9623</td>\n", | |
| " <td>0.013517</td>\n", | |
| " <td>149.67200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>21.31290</td>\n", | |
| " <td>422691</td>\n", | |
| " <td>0.002558</td>\n", | |
| " <td>782.1050</td>\n", | |
| " <td>10172</td>\n", | |
| " <td>0.000796</td>\n", | |
| " <td>35.580200</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-14 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>131856</td>\n", | |
| " <td>1.885170</td>\n", | |
| " <td>2960.280</td>\n", | |
| " <td>9503</td>\n", | |
| " <td>0.013348</td>\n", | |
| " <td>289.09900</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>403.58200</td>\n", | |
| " <td>405366</td>\n", | |
| " <td>0.002453</td>\n", | |
| " <td>1057.0000</td>\n", | |
| " <td>10175</td>\n", | |
| " <td>0.000797</td>\n", | |
| " <td>42.657200</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-15 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>146485</td>\n", | |
| " <td>2.089690</td>\n", | |
| " <td>3691.850</td>\n", | |
| " <td>9153</td>\n", | |
| " <td>0.012857</td>\n", | |
| " <td>203.36200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>160.58200</td>\n", | |
| " <td>430385</td>\n", | |
| " <td>0.002605</td>\n", | |
| " <td>416.5720</td>\n", | |
| " <td>10267</td>\n", | |
| " <td>0.000804</td>\n", | |
| " <td>27.721400</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-16 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>134129</td>\n", | |
| " <td>1.908910</td>\n", | |
| " <td>616.710</td>\n", | |
| " <td>9986</td>\n", | |
| " <td>0.014026</td>\n", | |
| " <td>232.48100</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>27.44060</td>\n", | |
| " <td>422191</td>\n", | |
| " <td>0.002555</td>\n", | |
| " <td>1074.0300</td>\n", | |
| " <td>10489</td>\n", | |
| " <td>0.000821</td>\n", | |
| " <td>20.544000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-17 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>135247</td>\n", | |
| " <td>1.920660</td>\n", | |
| " <td>1284.530</td>\n", | |
| " <td>8864</td>\n", | |
| " <td>0.012450</td>\n", | |
| " <td>123.51100</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>44.93940</td>\n", | |
| " <td>399475</td>\n", | |
| " <td>0.002417</td>\n", | |
| " <td>947.6060</td>\n", | |
| " <td>10399</td>\n", | |
| " <td>0.000814</td>\n", | |
| " <td>0.055712</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-18 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>133548</td>\n", | |
| " <td>1.892560</td>\n", | |
| " <td>561.786</td>\n", | |
| " <td>9162</td>\n", | |
| " <td>0.012869</td>\n", | |
| " <td>337.84200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>681.95700</td>\n", | |
| " <td>391753</td>\n", | |
| " <td>0.002371</td>\n", | |
| " <td>59.6472</td>\n", | |
| " <td>10316</td>\n", | |
| " <td>0.000808</td>\n", | |
| " <td>30.381400</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-19 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>54819</td>\n", | |
| " <td>0.775576</td>\n", | |
| " <td>30425.800</td>\n", | |
| " <td>10162</td>\n", | |
| " <td>0.014274</td>\n", | |
| " <td>342.80000</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>15.81800</td>\n", | |
| " <td>401294</td>\n", | |
| " <td>0.002428</td>\n", | |
| " <td>626.5740</td>\n", | |
| " <td>10213</td>\n", | |
| " <td>0.000800</td>\n", | |
| " <td>9.506720</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-20 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>46810</td>\n", | |
| " <td>0.661667</td>\n", | |
| " <td>14380.600</td>\n", | |
| " <td>8949</td>\n", | |
| " <td>0.012570</td>\n", | |
| " <td>109.75800</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>45.04890</td>\n", | |
| " <td>398917</td>\n", | |
| " <td>0.002414</td>\n", | |
| " <td>367.4990</td>\n", | |
| " <td>10342</td>\n", | |
| " <td>0.000810</td>\n", | |
| " <td>13.293900</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-21 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>41192</td>\n", | |
| " <td>0.582252</td>\n", | |
| " <td>2270.200</td>\n", | |
| " <td>8897</td>\n", | |
| " <td>0.012497</td>\n", | |
| " <td>254.25900</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>105.62100</td>\n", | |
| " <td>400378</td>\n", | |
| " <td>0.002423</td>\n", | |
| " <td>572.7480</td>\n", | |
| " <td>10534</td>\n", | |
| " <td>0.000825</td>\n", | |
| " <td>16.412000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-22 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>31755</td>\n", | |
| " <td>0.448863</td>\n", | |
| " <td>3703.930</td>\n", | |
| " <td>10351</td>\n", | |
| " <td>0.014540</td>\n", | |
| " <td>159.85900</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>73.89660</td>\n", | |
| " <td>392904</td>\n", | |
| " <td>0.002377</td>\n", | |
| " <td>272.2680</td>\n", | |
| " <td>11277</td>\n", | |
| " <td>0.000883</td>\n", | |
| " <td>55.874800</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-23 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>31286</td>\n", | |
| " <td>0.442229</td>\n", | |
| " <td>755.973</td>\n", | |
| " <td>9611</td>\n", | |
| " <td>0.013500</td>\n", | |
| " <td>329.43500</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>53.36030</td>\n", | |
| " <td>418984</td>\n", | |
| " <td>0.002535</td>\n", | |
| " <td>979.0470</td>\n", | |
| " <td>11584</td>\n", | |
| " <td>0.000907</td>\n", | |
| " <td>16.409900</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-24 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>35873</td>\n", | |
| " <td>0.507067</td>\n", | |
| " <td>958.943</td>\n", | |
| " <td>8945</td>\n", | |
| " <td>0.012565</td>\n", | |
| " <td>39.23770</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>85.06190</td>\n", | |
| " <td>419654</td>\n", | |
| " <td>0.002539</td>\n", | |
| " <td>2036.2600</td>\n", | |
| " <td>11548</td>\n", | |
| " <td>0.000904</td>\n", | |
| " <td>5.902280</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-25 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>32319</td>\n", | |
| " <td>0.456833</td>\n", | |
| " <td>712.699</td>\n", | |
| " <td>7828</td>\n", | |
| " <td>0.010996</td>\n", | |
| " <td>64.29970</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>135.34300</td>\n", | |
| " <td>397604</td>\n", | |
| " <td>0.002405</td>\n", | |
| " <td>369.1160</td>\n", | |
| " <td>11023</td>\n", | |
| " <td>0.000863</td>\n", | |
| " <td>388.331000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-26 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>33030</td>\n", | |
| " <td>0.466200</td>\n", | |
| " <td>657.728</td>\n", | |
| " <td>9001</td>\n", | |
| " <td>0.012644</td>\n", | |
| " <td>52.75430</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>30.41500</td>\n", | |
| " <td>424332</td>\n", | |
| " <td>0.002567</td>\n", | |
| " <td>433.3510</td>\n", | |
| " <td>11481</td>\n", | |
| " <td>0.000899</td>\n", | |
| " <td>12.911500</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-27 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>31628</td>\n", | |
| " <td>0.445404</td>\n", | |
| " <td>1834.520</td>\n", | |
| " <td>9095</td>\n", | |
| " <td>0.012775</td>\n", | |
| " <td>125.70900</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>321.33100</td>\n", | |
| " <td>404884</td>\n", | |
| " <td>0.002449</td>\n", | |
| " <td>2134.0600</td>\n", | |
| " <td>11784</td>\n", | |
| " <td>0.000923</td>\n", | |
| " <td>184.754000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-28 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>27805</td>\n", | |
| " <td>0.385657</td>\n", | |
| " <td>1310.560</td>\n", | |
| " <td>9047</td>\n", | |
| " <td>0.012708</td>\n", | |
| " <td>96.28830</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>157.96600</td>\n", | |
| " <td>464599</td>\n", | |
| " <td>0.002811</td>\n", | |
| " <td>1274.3900</td>\n", | |
| " <td>12360</td>\n", | |
| " <td>0.000968</td>\n", | |
| " <td>3.456220</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-29 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>25458</td>\n", | |
| " <td>0.353036</td>\n", | |
| " <td>1673.300</td>\n", | |
| " <td>8383</td>\n", | |
| " <td>0.011775</td>\n", | |
| " <td>94.14810</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>79.97320</td>\n", | |
| " <td>417289</td>\n", | |
| " <td>0.002524</td>\n", | |
| " <td>519.2140</td>\n", | |
| " <td>12419</td>\n", | |
| " <td>0.000972</td>\n", | |
| " <td>27.560100</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-30 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>20661</td>\n", | |
| " <td>0.285743</td>\n", | |
| " <td>2353.320</td>\n", | |
| " <td>8144</td>\n", | |
| " <td>0.011440</td>\n", | |
| " <td>152.12700</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>294.01400</td>\n", | |
| " <td>391127</td>\n", | |
| " <td>0.002366</td>\n", | |
| " <td>228.1880</td>\n", | |
| " <td>11948</td>\n", | |
| " <td>0.000935</td>\n", | |
| " <td>71.528700</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-31 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>20792</td>\n", | |
| " <td>0.286883</td>\n", | |
| " <td>4897.410</td>\n", | |
| " <td>8127</td>\n", | |
| " <td>0.011415</td>\n", | |
| " <td>27.68950</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>12.99360</td>\n", | |
| " <td>421838</td>\n", | |
| " <td>0.002552</td>\n", | |
| " <td>137.9380</td>\n", | |
| " <td>12172</td>\n", | |
| " <td>0.000953</td>\n", | |
| " <td>4.066120</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-01 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>23226</td>\n", | |
| " <td>0.319745</td>\n", | |
| " <td>784.758</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>12.68390</td>\n", | |
| " <td>399328</td>\n", | |
| " <td>0.002415</td>\n", | |
| " <td>274.0240</td>\n", | |
| " <td>12354</td>\n", | |
| " <td>0.000967</td>\n", | |
| " <td>18.376100</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-02 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>20838</td>\n", | |
| " <td>0.286249</td>\n", | |
| " <td>1942.420</td>\n", | |
| " <td>7876</td>\n", | |
| " <td>0.011064</td>\n", | |
| " <td>88.82730</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>59.04650</td>\n", | |
| " <td>405360</td>\n", | |
| " <td>0.002452</td>\n", | |
| " <td>1784.5500</td>\n", | |
| " <td>13058</td>\n", | |
| " <td>0.001022</td>\n", | |
| " <td>66.134600</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-03 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>19542</td>\n", | |
| " <td>0.267980</td>\n", | |
| " <td>1214.060</td>\n", | |
| " <td>8674</td>\n", | |
| " <td>0.012184</td>\n", | |
| " <td>99.44730</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>77.31590</td>\n", | |
| " <td>399607</td>\n", | |
| " <td>0.002417</td>\n", | |
| " <td>1148.8300</td>\n", | |
| " <td>13262</td>\n", | |
| " <td>0.001038</td>\n", | |
| " <td>29.433400</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-04 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>14492</td>\n", | |
| " <td>0.198464</td>\n", | |
| " <td>8522.180</td>\n", | |
| " <td>9552</td>\n", | |
| " <td>0.013417</td>\n", | |
| " <td>9.66115</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>46.79530</td>\n", | |
| " <td>402245</td>\n", | |
| " <td>0.002433</td>\n", | |
| " <td>312.5680</td>\n", | |
| " <td>13771</td>\n", | |
| " <td>0.001078</td>\n", | |
| " <td>41.858000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-05 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>15452</td>\n", | |
| " <td>0.211548</td>\n", | |
| " <td>3578.680</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>19.58740</td>\n", | |
| " <td>390390</td>\n", | |
| " <td>0.002361</td>\n", | |
| " <td>1372.8300</td>\n", | |
| " <td>14757</td>\n", | |
| " <td>0.001155</td>\n", | |
| " <td>301.595000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>1349 rows × 1395 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " 007 1CR \\\n", | |
| " market_cap price volume market_cap price \n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "... ... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 NaN NaN NaN 131202 1.906870 \n", | |
| "2016-12-08 00:00:00+00:00 NaN NaN NaN 135062 1.958130 \n", | |
| "2016-12-09 00:00:00+00:00 NaN NaN NaN 124195 1.796680 \n", | |
| "2016-12-10 00:00:00+00:00 NaN NaN NaN 129392 1.867920 \n", | |
| "2016-12-11 00:00:00+00:00 NaN NaN NaN 153139 2.205130 \n", | |
| "2016-12-12 00:00:00+00:00 NaN NaN NaN 138044 1.982940 \n", | |
| "2016-12-13 00:00:00+00:00 NaN NaN NaN 136122 1.950880 \n", | |
| "2016-12-14 00:00:00+00:00 NaN NaN NaN 131856 1.885170 \n", | |
| "2016-12-15 00:00:00+00:00 NaN NaN NaN 146485 2.089690 \n", | |
| "2016-12-16 00:00:00+00:00 NaN NaN NaN 134129 1.908910 \n", | |
| "2016-12-17 00:00:00+00:00 NaN NaN NaN 135247 1.920660 \n", | |
| "2016-12-18 00:00:00+00:00 NaN NaN NaN 133548 1.892560 \n", | |
| "2016-12-19 00:00:00+00:00 NaN NaN NaN 54819 0.775576 \n", | |
| "2016-12-20 00:00:00+00:00 NaN NaN NaN 46810 0.661667 \n", | |
| "2016-12-21 00:00:00+00:00 NaN NaN NaN 41192 0.582252 \n", | |
| "2016-12-22 00:00:00+00:00 NaN NaN NaN 31755 0.448863 \n", | |
| "2016-12-23 00:00:00+00:00 NaN NaN NaN 31286 0.442229 \n", | |
| "2016-12-24 00:00:00+00:00 NaN NaN NaN 35873 0.507067 \n", | |
| "2016-12-25 00:00:00+00:00 NaN NaN NaN 32319 0.456833 \n", | |
| "2016-12-26 00:00:00+00:00 NaN NaN NaN 33030 0.466200 \n", | |
| "2016-12-27 00:00:00+00:00 NaN NaN NaN 31628 0.445404 \n", | |
| "2016-12-28 00:00:00+00:00 NaN NaN NaN 27805 0.385657 \n", | |
| "2016-12-29 00:00:00+00:00 NaN NaN NaN 25458 0.353036 \n", | |
| "2016-12-30 00:00:00+00:00 NaN NaN NaN 20661 0.285743 \n", | |
| "2016-12-31 00:00:00+00:00 NaN NaN NaN 20792 0.286883 \n", | |
| "2017-01-01 00:00:00+00:00 NaN NaN NaN 23226 0.319745 \n", | |
| "2017-01-02 00:00:00+00:00 NaN NaN NaN 20838 0.286249 \n", | |
| "2017-01-03 00:00:00+00:00 NaN NaN NaN 19542 0.267980 \n", | |
| "2017-01-04 00:00:00+00:00 NaN NaN NaN 14492 0.198464 \n", | |
| "2017-01-05 00:00:00+00:00 NaN NaN NaN 15452 0.211548 \n", | |
| "\n", | |
| " 8BIT \\\n", | |
| " volume market_cap price volume \n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 2985.290 8166 0.011471 1454.68000 \n", | |
| "2016-12-08 00:00:00+00:00 8432.190 8471 0.011899 807.71000 \n", | |
| "2016-12-09 00:00:00+00:00 8201.960 8622 0.012111 575.70200 \n", | |
| "2016-12-10 00:00:00+00:00 7690.310 8225 0.011553 260.29200 \n", | |
| "2016-12-11 00:00:00+00:00 11328.200 9144 0.012844 284.02200 \n", | |
| "2016-12-12 00:00:00+00:00 5467.240 9472 0.013305 289.58700 \n", | |
| "2016-12-13 00:00:00+00:00 1905.540 9623 0.013517 149.67200 \n", | |
| "2016-12-14 00:00:00+00:00 2960.280 9503 0.013348 289.09900 \n", | |
| "2016-12-15 00:00:00+00:00 3691.850 9153 0.012857 203.36200 \n", | |
| "2016-12-16 00:00:00+00:00 616.710 9986 0.014026 232.48100 \n", | |
| "2016-12-17 00:00:00+00:00 1284.530 8864 0.012450 123.51100 \n", | |
| "2016-12-18 00:00:00+00:00 561.786 9162 0.012869 337.84200 \n", | |
| "2016-12-19 00:00:00+00:00 30425.800 10162 0.014274 342.80000 \n", | |
| "2016-12-20 00:00:00+00:00 14380.600 8949 0.012570 109.75800 \n", | |
| "2016-12-21 00:00:00+00:00 2270.200 8897 0.012497 254.25900 \n", | |
| "2016-12-22 00:00:00+00:00 3703.930 10351 0.014540 159.85900 \n", | |
| "2016-12-23 00:00:00+00:00 755.973 9611 0.013500 329.43500 \n", | |
| "2016-12-24 00:00:00+00:00 958.943 8945 0.012565 39.23770 \n", | |
| "2016-12-25 00:00:00+00:00 712.699 7828 0.010996 64.29970 \n", | |
| "2016-12-26 00:00:00+00:00 657.728 9001 0.012644 52.75430 \n", | |
| "2016-12-27 00:00:00+00:00 1834.520 9095 0.012775 125.70900 \n", | |
| "2016-12-28 00:00:00+00:00 1310.560 9047 0.012708 96.28830 \n", | |
| "2016-12-29 00:00:00+00:00 1673.300 8383 0.011775 94.14810 \n", | |
| "2016-12-30 00:00:00+00:00 2353.320 8144 0.011440 152.12700 \n", | |
| "2016-12-31 00:00:00+00:00 4897.410 8127 0.011415 27.68950 \n", | |
| "2017-01-01 00:00:00+00:00 784.758 NaN NaN NaN \n", | |
| "2017-01-02 00:00:00+00:00 1942.420 7876 0.011064 88.82730 \n", | |
| "2017-01-03 00:00:00+00:00 1214.060 8674 0.012184 99.44730 \n", | |
| "2017-01-04 00:00:00+00:00 8522.180 9552 0.013417 9.66115 \n", | |
| "2017-01-05 00:00:00+00:00 3578.680 NaN NaN NaN \n", | |
| "\n", | |
| " ACCI ... ZEIT ZET \\\n", | |
| " market_cap ... volume market_cap price \n", | |
| "2013-04-28 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "... ... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 0 ... 4.72693 380953 0.002306 \n", | |
| "2016-12-08 00:00:00+00:00 0 ... 42.79170 414546 0.002509 \n", | |
| "2016-12-09 00:00:00+00:00 0 ... 169.30200 398704 0.002413 \n", | |
| "2016-12-10 00:00:00+00:00 0 ... 18.37240 418769 0.002535 \n", | |
| "2016-12-11 00:00:00+00:00 0 ... 13.88110 406794 0.002462 \n", | |
| "2016-12-12 00:00:00+00:00 0 ... 29.23070 423150 0.002561 \n", | |
| "2016-12-13 00:00:00+00:00 0 ... 21.31290 422691 0.002558 \n", | |
| "2016-12-14 00:00:00+00:00 0 ... 403.58200 405366 0.002453 \n", | |
| "2016-12-15 00:00:00+00:00 0 ... 160.58200 430385 0.002605 \n", | |
| "2016-12-16 00:00:00+00:00 0 ... 27.44060 422191 0.002555 \n", | |
| "2016-12-17 00:00:00+00:00 0 ... 44.93940 399475 0.002417 \n", | |
| "2016-12-18 00:00:00+00:00 0 ... 681.95700 391753 0.002371 \n", | |
| "2016-12-19 00:00:00+00:00 0 ... 15.81800 401294 0.002428 \n", | |
| "2016-12-20 00:00:00+00:00 0 ... 45.04890 398917 0.002414 \n", | |
| "2016-12-21 00:00:00+00:00 0 ... 105.62100 400378 0.002423 \n", | |
| "2016-12-22 00:00:00+00:00 0 ... 73.89660 392904 0.002377 \n", | |
| "2016-12-23 00:00:00+00:00 0 ... 53.36030 418984 0.002535 \n", | |
| "2016-12-24 00:00:00+00:00 0 ... 85.06190 419654 0.002539 \n", | |
| "2016-12-25 00:00:00+00:00 0 ... 135.34300 397604 0.002405 \n", | |
| "2016-12-26 00:00:00+00:00 0 ... 30.41500 424332 0.002567 \n", | |
| "2016-12-27 00:00:00+00:00 0 ... 321.33100 404884 0.002449 \n", | |
| "2016-12-28 00:00:00+00:00 0 ... 157.96600 464599 0.002811 \n", | |
| "2016-12-29 00:00:00+00:00 0 ... 79.97320 417289 0.002524 \n", | |
| "2016-12-30 00:00:00+00:00 0 ... 294.01400 391127 0.002366 \n", | |
| "2016-12-31 00:00:00+00:00 0 ... 12.99360 421838 0.002552 \n", | |
| "2017-01-01 00:00:00+00:00 0 ... 12.68390 399328 0.002415 \n", | |
| "2017-01-02 00:00:00+00:00 0 ... 59.04650 405360 0.002452 \n", | |
| "2017-01-03 00:00:00+00:00 0 ... 77.31590 399607 0.002417 \n", | |
| "2017-01-04 00:00:00+00:00 0 ... 46.79530 402245 0.002433 \n", | |
| "2017-01-05 00:00:00+00:00 0 ... 19.58740 390390 0.002361 \n", | |
| "\n", | |
| " ZRC \\\n", | |
| " volume market_cap price volume \n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 733.4450 18473 0.001446 10.577700 \n", | |
| "2016-12-08 00:00:00+00:00 577.2190 11748 0.000920 39.983800 \n", | |
| "2016-12-09 00:00:00+00:00 244.8520 10784 0.000844 10.633900 \n", | |
| "2016-12-10 00:00:00+00:00 1443.9200 10575 0.000828 12.918000 \n", | |
| "2016-12-11 00:00:00+00:00 917.1470 10211 0.000799 4.139200 \n", | |
| "2016-12-12 00:00:00+00:00 820.5390 10297 0.000806 3.497450 \n", | |
| "2016-12-13 00:00:00+00:00 782.1050 10172 0.000796 35.580200 \n", | |
| "2016-12-14 00:00:00+00:00 1057.0000 10175 0.000797 42.657200 \n", | |
| "2016-12-15 00:00:00+00:00 416.5720 10267 0.000804 27.721400 \n", | |
| "2016-12-16 00:00:00+00:00 1074.0300 10489 0.000821 20.544000 \n", | |
| "2016-12-17 00:00:00+00:00 947.6060 10399 0.000814 0.055712 \n", | |
| "2016-12-18 00:00:00+00:00 59.6472 10316 0.000808 30.381400 \n", | |
| "2016-12-19 00:00:00+00:00 626.5740 10213 0.000800 9.506720 \n", | |
| "2016-12-20 00:00:00+00:00 367.4990 10342 0.000810 13.293900 \n", | |
| "2016-12-21 00:00:00+00:00 572.7480 10534 0.000825 16.412000 \n", | |
| "2016-12-22 00:00:00+00:00 272.2680 11277 0.000883 55.874800 \n", | |
| "2016-12-23 00:00:00+00:00 979.0470 11584 0.000907 16.409900 \n", | |
| "2016-12-24 00:00:00+00:00 2036.2600 11548 0.000904 5.902280 \n", | |
| "2016-12-25 00:00:00+00:00 369.1160 11023 0.000863 388.331000 \n", | |
| "2016-12-26 00:00:00+00:00 433.3510 11481 0.000899 12.911500 \n", | |
| "2016-12-27 00:00:00+00:00 2134.0600 11784 0.000923 184.754000 \n", | |
| "2016-12-28 00:00:00+00:00 1274.3900 12360 0.000968 3.456220 \n", | |
| "2016-12-29 00:00:00+00:00 519.2140 12419 0.000972 27.560100 \n", | |
| "2016-12-30 00:00:00+00:00 228.1880 11948 0.000935 71.528700 \n", | |
| "2016-12-31 00:00:00+00:00 137.9380 12172 0.000953 4.066120 \n", | |
| "2017-01-01 00:00:00+00:00 274.0240 12354 0.000967 18.376100 \n", | |
| "2017-01-02 00:00:00+00:00 1784.5500 13058 0.001022 66.134600 \n", | |
| "2017-01-03 00:00:00+00:00 1148.8300 13262 0.001038 29.433400 \n", | |
| "2017-01-04 00:00:00+00:00 312.5680 13771 0.001078 41.858000 \n", | |
| "2017-01-05 00:00:00+00:00 1372.8300 14757 0.001155 301.595000 \n", | |
| "\n", | |
| " ZS \n", | |
| " market_cap price volume \n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN \n", | |
| "... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-08 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-09 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-10 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-11 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-12 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-13 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-14 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-15 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-16 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-17 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-18 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-19 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-20 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-21 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-22 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-23 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-24 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-25 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-26 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-27 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-28 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-29 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-30 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-31 00:00:00+00:00 NaN NaN NaN \n", | |
| "2017-01-01 00:00:00+00:00 NaN NaN NaN \n", | |
| "2017-01-02 00:00:00+00:00 NaN NaN NaN \n", | |
| "2017-01-03 00:00:00+00:00 NaN NaN NaN \n", | |
| "2017-01-04 00:00:00+00:00 NaN NaN NaN \n", | |
| "2017-01-05 00:00:00+00:00 NaN NaN NaN \n", | |
| "\n", | |
| "[1349 rows x 1395 columns]" | |
| ] | |
| }, | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "save_file = './data/cryptocoins.pickle'\n", | |
| "df = pd.read_pickle(save_file)\n", | |
| "df" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# other financial correlations" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-23T10:23:08.577432", | |
| "start_time": "2017-02-23T10:23:06.693953" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# nasdaw 5000\n", | |
| "\n", | |
| "r = requests.get('http://ichart.finance.yahoo.com/table.csv?s=^GSPC&ignore=.csv')\n", | |
| "# pd.DataFrame.from_csv(r.text)\n", | |
| "\n", | |
| "from io import StringIO\n", | |
| "df1 = pd.read_csv(StringIO(r.text))\n", | |
| "\n", | |
| "df1.index=pd.to_datetime(df1.Date)\n", | |
| "nasdaq500 = df1.Close" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-23T10:23:09.774279", | |
| "start_time": "2017-02-23T10:23:08.579501" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# chinese dolar\n", | |
| "\n", | |
| "r = requests.get('http://ichart.finance.yahoo.com/table.csv?s=CNY%3DX&ignore=.csv')\n", | |
| "# pd.DataFrame.from_csv(r.text)\n", | |
| "\n", | |
| "from io import StringIO\n", | |
| "df1 = pd.read_csv(StringIO(r.text))\n", | |
| "\n", | |
| "df1.index=pd.to_datetime(df1.Date, utc=True)\n", | |
| "cny = df1.Close\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "http://download.finance.yahoo.com/d/quotes.csv?s=XAUUSD=X&f=sl1d1t1c1ohgv&e=.csv\n", | |
| "http://ichart.finance.yahoo.com/table.csv?s=XAUUSD%3DX&ignore=.csv" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 124, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T13:16:56.945338", | |
| "start_time": "2017-02-22T13:16:56.796097" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "cny 0.621217270604\n", | |
| "nasdaq500 0.515330577457\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# import pytz\n", | |
| "a = cny.resample('W')\n", | |
| "b = market_cap.resample('W').BTC\n", | |
| "a.index.tz=pytz.utc\n", | |
| "print('cny', b.corr(a))\n", | |
| "\n", | |
| "\n", | |
| "a = nasdaq500.resample('W')\n", | |
| "b = market_cap.resample('W').BTC\n", | |
| "a.index.tz=pytz.utc\n", | |
| "print('nasdaq500', b.corr(a))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# load" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-23T10:23:37.093276", | |
| "start_time": "2017-02-23T10:23:37.008161" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <th></th>\n", | |
| " <th colspan=\"3\" halign=\"left\">007</th>\n", | |
| " <th colspan=\"3\" halign=\"left\">1CR</th>\n", | |
| " <th colspan=\"3\" halign=\"left\">8BIT</th>\n", | |
| " <th>ACCI</th>\n", | |
| " <th>...</th>\n", | |
| " <th>ZEIT</th>\n", | |
| " <th colspan=\"3\" halign=\"left\">ZET</th>\n", | |
| " <th colspan=\"3\" halign=\"left\">ZRC</th>\n", | |
| " <th colspan=\"3\" halign=\"left\">ZS</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th></th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>...</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " <th>market_cap</th>\n", | |
| " <th>price</th>\n", | |
| " <th>volume</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>2013-04-28 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-04-29 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-04-30 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-01 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-02 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-03 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-04 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-05 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-06 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-07 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-08 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-09 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-10 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-11 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-12 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-13 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-14 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-15 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-16 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-17 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-18 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-19 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-20 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-21 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-22 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-23 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-24 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-25 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-26 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-27 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>...</th>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-07 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>131202</td>\n", | |
| " <td>1.906870</td>\n", | |
| " <td>2985.290</td>\n", | |
| " <td>8166</td>\n", | |
| " <td>0.011471</td>\n", | |
| " <td>1454.68000</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>4.72693</td>\n", | |
| " <td>380953</td>\n", | |
| " <td>0.002306</td>\n", | |
| " <td>733.4450</td>\n", | |
| " <td>18473</td>\n", | |
| " <td>0.001446</td>\n", | |
| " <td>10.577700</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-08 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>135062</td>\n", | |
| " <td>1.958130</td>\n", | |
| " <td>8432.190</td>\n", | |
| " <td>8471</td>\n", | |
| " <td>0.011899</td>\n", | |
| " <td>807.71000</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>42.79170</td>\n", | |
| " <td>414546</td>\n", | |
| " <td>0.002509</td>\n", | |
| " <td>577.2190</td>\n", | |
| " <td>11748</td>\n", | |
| " <td>0.000920</td>\n", | |
| " <td>39.983800</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-09 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>124195</td>\n", | |
| " <td>1.796680</td>\n", | |
| " <td>8201.960</td>\n", | |
| " <td>8622</td>\n", | |
| " <td>0.012111</td>\n", | |
| " <td>575.70200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>169.30200</td>\n", | |
| " <td>398704</td>\n", | |
| " <td>0.002413</td>\n", | |
| " <td>244.8520</td>\n", | |
| " <td>10784</td>\n", | |
| " <td>0.000844</td>\n", | |
| " <td>10.633900</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-10 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>129392</td>\n", | |
| " <td>1.867920</td>\n", | |
| " <td>7690.310</td>\n", | |
| " <td>8225</td>\n", | |
| " <td>0.011553</td>\n", | |
| " <td>260.29200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>18.37240</td>\n", | |
| " <td>418769</td>\n", | |
| " <td>0.002535</td>\n", | |
| " <td>1443.9200</td>\n", | |
| " <td>10575</td>\n", | |
| " <td>0.000828</td>\n", | |
| " <td>12.918000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-11 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>153139</td>\n", | |
| " <td>2.205130</td>\n", | |
| " <td>11328.200</td>\n", | |
| " <td>9144</td>\n", | |
| " <td>0.012844</td>\n", | |
| " <td>284.02200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>13.88110</td>\n", | |
| " <td>406794</td>\n", | |
| " <td>0.002462</td>\n", | |
| " <td>917.1470</td>\n", | |
| " <td>10211</td>\n", | |
| " <td>0.000799</td>\n", | |
| " <td>4.139200</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-12 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>138044</td>\n", | |
| " <td>1.982940</td>\n", | |
| " <td>5467.240</td>\n", | |
| " <td>9472</td>\n", | |
| " <td>0.013305</td>\n", | |
| " <td>289.58700</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>29.23070</td>\n", | |
| " <td>423150</td>\n", | |
| " <td>0.002561</td>\n", | |
| " <td>820.5390</td>\n", | |
| " <td>10297</td>\n", | |
| " <td>0.000806</td>\n", | |
| " <td>3.497450</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-13 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>136122</td>\n", | |
| " <td>1.950880</td>\n", | |
| " <td>1905.540</td>\n", | |
| " <td>9623</td>\n", | |
| " <td>0.013517</td>\n", | |
| " <td>149.67200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>21.31290</td>\n", | |
| " <td>422691</td>\n", | |
| " <td>0.002558</td>\n", | |
| " <td>782.1050</td>\n", | |
| " <td>10172</td>\n", | |
| " <td>0.000796</td>\n", | |
| " <td>35.580200</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-14 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>131856</td>\n", | |
| " <td>1.885170</td>\n", | |
| " <td>2960.280</td>\n", | |
| " <td>9503</td>\n", | |
| " <td>0.013348</td>\n", | |
| " <td>289.09900</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>403.58200</td>\n", | |
| " <td>405366</td>\n", | |
| " <td>0.002453</td>\n", | |
| " <td>1057.0000</td>\n", | |
| " <td>10175</td>\n", | |
| " <td>0.000797</td>\n", | |
| " <td>42.657200</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-15 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>146485</td>\n", | |
| " <td>2.089690</td>\n", | |
| " <td>3691.850</td>\n", | |
| " <td>9153</td>\n", | |
| " <td>0.012857</td>\n", | |
| " <td>203.36200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>160.58200</td>\n", | |
| " <td>430385</td>\n", | |
| " <td>0.002605</td>\n", | |
| " <td>416.5720</td>\n", | |
| " <td>10267</td>\n", | |
| " <td>0.000804</td>\n", | |
| " <td>27.721400</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-16 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>134129</td>\n", | |
| " <td>1.908910</td>\n", | |
| " <td>616.710</td>\n", | |
| " <td>9986</td>\n", | |
| " <td>0.014026</td>\n", | |
| " <td>232.48100</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>27.44060</td>\n", | |
| " <td>422191</td>\n", | |
| " <td>0.002555</td>\n", | |
| " <td>1074.0300</td>\n", | |
| " <td>10489</td>\n", | |
| " <td>0.000821</td>\n", | |
| " <td>20.544000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-17 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>135247</td>\n", | |
| " <td>1.920660</td>\n", | |
| " <td>1284.530</td>\n", | |
| " <td>8864</td>\n", | |
| " <td>0.012450</td>\n", | |
| " <td>123.51100</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>44.93940</td>\n", | |
| " <td>399475</td>\n", | |
| " <td>0.002417</td>\n", | |
| " <td>947.6060</td>\n", | |
| " <td>10399</td>\n", | |
| " <td>0.000814</td>\n", | |
| " <td>0.055712</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-18 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>133548</td>\n", | |
| " <td>1.892560</td>\n", | |
| " <td>561.786</td>\n", | |
| " <td>9162</td>\n", | |
| " <td>0.012869</td>\n", | |
| " <td>337.84200</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>681.95700</td>\n", | |
| " <td>391753</td>\n", | |
| " <td>0.002371</td>\n", | |
| " <td>59.6472</td>\n", | |
| " <td>10316</td>\n", | |
| " <td>0.000808</td>\n", | |
| " <td>30.381400</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-19 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>54819</td>\n", | |
| " <td>0.775576</td>\n", | |
| " <td>30425.800</td>\n", | |
| " <td>10162</td>\n", | |
| " <td>0.014274</td>\n", | |
| " <td>342.80000</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>15.81800</td>\n", | |
| " <td>401294</td>\n", | |
| " <td>0.002428</td>\n", | |
| " <td>626.5740</td>\n", | |
| " <td>10213</td>\n", | |
| " <td>0.000800</td>\n", | |
| " <td>9.506720</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-20 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>46810</td>\n", | |
| " <td>0.661667</td>\n", | |
| " <td>14380.600</td>\n", | |
| " <td>8949</td>\n", | |
| " <td>0.012570</td>\n", | |
| " <td>109.75800</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>45.04890</td>\n", | |
| " <td>398917</td>\n", | |
| " <td>0.002414</td>\n", | |
| " <td>367.4990</td>\n", | |
| " <td>10342</td>\n", | |
| " <td>0.000810</td>\n", | |
| " <td>13.293900</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-21 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>41192</td>\n", | |
| " <td>0.582252</td>\n", | |
| " <td>2270.200</td>\n", | |
| " <td>8897</td>\n", | |
| " <td>0.012497</td>\n", | |
| " <td>254.25900</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>105.62100</td>\n", | |
| " <td>400378</td>\n", | |
| " <td>0.002423</td>\n", | |
| " <td>572.7480</td>\n", | |
| " <td>10534</td>\n", | |
| " <td>0.000825</td>\n", | |
| " <td>16.412000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-22 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>31755</td>\n", | |
| " <td>0.448863</td>\n", | |
| " <td>3703.930</td>\n", | |
| " <td>10351</td>\n", | |
| " <td>0.014540</td>\n", | |
| " <td>159.85900</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>73.89660</td>\n", | |
| " <td>392904</td>\n", | |
| " <td>0.002377</td>\n", | |
| " <td>272.2680</td>\n", | |
| " <td>11277</td>\n", | |
| " <td>0.000883</td>\n", | |
| " <td>55.874800</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-23 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>31286</td>\n", | |
| " <td>0.442229</td>\n", | |
| " <td>755.973</td>\n", | |
| " <td>9611</td>\n", | |
| " <td>0.013500</td>\n", | |
| " <td>329.43500</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>53.36030</td>\n", | |
| " <td>418984</td>\n", | |
| " <td>0.002535</td>\n", | |
| " <td>979.0470</td>\n", | |
| " <td>11584</td>\n", | |
| " <td>0.000907</td>\n", | |
| " <td>16.409900</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-24 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>35873</td>\n", | |
| " <td>0.507067</td>\n", | |
| " <td>958.943</td>\n", | |
| " <td>8945</td>\n", | |
| " <td>0.012565</td>\n", | |
| " <td>39.23770</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>85.06190</td>\n", | |
| " <td>419654</td>\n", | |
| " <td>0.002539</td>\n", | |
| " <td>2036.2600</td>\n", | |
| " <td>11548</td>\n", | |
| " <td>0.000904</td>\n", | |
| " <td>5.902280</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-25 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>32319</td>\n", | |
| " <td>0.456833</td>\n", | |
| " <td>712.699</td>\n", | |
| " <td>7828</td>\n", | |
| " <td>0.010996</td>\n", | |
| " <td>64.29970</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>135.34300</td>\n", | |
| " <td>397604</td>\n", | |
| " <td>0.002405</td>\n", | |
| " <td>369.1160</td>\n", | |
| " <td>11023</td>\n", | |
| " <td>0.000863</td>\n", | |
| " <td>388.331000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-26 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>33030</td>\n", | |
| " <td>0.466200</td>\n", | |
| " <td>657.728</td>\n", | |
| " <td>9001</td>\n", | |
| " <td>0.012644</td>\n", | |
| " <td>52.75430</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>30.41500</td>\n", | |
| " <td>424332</td>\n", | |
| " <td>0.002567</td>\n", | |
| " <td>433.3510</td>\n", | |
| " <td>11481</td>\n", | |
| " <td>0.000899</td>\n", | |
| " <td>12.911500</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-27 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>31628</td>\n", | |
| " <td>0.445404</td>\n", | |
| " <td>1834.520</td>\n", | |
| " <td>9095</td>\n", | |
| " <td>0.012775</td>\n", | |
| " <td>125.70900</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>321.33100</td>\n", | |
| " <td>404884</td>\n", | |
| " <td>0.002449</td>\n", | |
| " <td>2134.0600</td>\n", | |
| " <td>11784</td>\n", | |
| " <td>0.000923</td>\n", | |
| " <td>184.754000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-28 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>27805</td>\n", | |
| " <td>0.385657</td>\n", | |
| " <td>1310.560</td>\n", | |
| " <td>9047</td>\n", | |
| " <td>0.012708</td>\n", | |
| " <td>96.28830</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>157.96600</td>\n", | |
| " <td>464599</td>\n", | |
| " <td>0.002811</td>\n", | |
| " <td>1274.3900</td>\n", | |
| " <td>12360</td>\n", | |
| " <td>0.000968</td>\n", | |
| " <td>3.456220</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-29 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>25458</td>\n", | |
| " <td>0.353036</td>\n", | |
| " <td>1673.300</td>\n", | |
| " <td>8383</td>\n", | |
| " <td>0.011775</td>\n", | |
| " <td>94.14810</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>79.97320</td>\n", | |
| " <td>417289</td>\n", | |
| " <td>0.002524</td>\n", | |
| " <td>519.2140</td>\n", | |
| " <td>12419</td>\n", | |
| " <td>0.000972</td>\n", | |
| " <td>27.560100</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-30 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>20661</td>\n", | |
| " <td>0.285743</td>\n", | |
| " <td>2353.320</td>\n", | |
| " <td>8144</td>\n", | |
| " <td>0.011440</td>\n", | |
| " <td>152.12700</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>294.01400</td>\n", | |
| " <td>391127</td>\n", | |
| " <td>0.002366</td>\n", | |
| " <td>228.1880</td>\n", | |
| " <td>11948</td>\n", | |
| " <td>0.000935</td>\n", | |
| " <td>71.528700</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-31 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>20792</td>\n", | |
| " <td>0.286883</td>\n", | |
| " <td>4897.410</td>\n", | |
| " <td>8127</td>\n", | |
| " <td>0.011415</td>\n", | |
| " <td>27.68950</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>12.99360</td>\n", | |
| " <td>421838</td>\n", | |
| " <td>0.002552</td>\n", | |
| " <td>137.9380</td>\n", | |
| " <td>12172</td>\n", | |
| " <td>0.000953</td>\n", | |
| " <td>4.066120</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-01 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>23226</td>\n", | |
| " <td>0.319745</td>\n", | |
| " <td>784.758</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>12.68390</td>\n", | |
| " <td>399328</td>\n", | |
| " <td>0.002415</td>\n", | |
| " <td>274.0240</td>\n", | |
| " <td>12354</td>\n", | |
| " <td>0.000967</td>\n", | |
| " <td>18.376100</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-02 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>20838</td>\n", | |
| " <td>0.286249</td>\n", | |
| " <td>1942.420</td>\n", | |
| " <td>7876</td>\n", | |
| " <td>0.011064</td>\n", | |
| " <td>88.82730</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>59.04650</td>\n", | |
| " <td>405360</td>\n", | |
| " <td>0.002452</td>\n", | |
| " <td>1784.5500</td>\n", | |
| " <td>13058</td>\n", | |
| " <td>0.001022</td>\n", | |
| " <td>66.134600</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-03 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>19542</td>\n", | |
| " <td>0.267980</td>\n", | |
| " <td>1214.060</td>\n", | |
| " <td>8674</td>\n", | |
| " <td>0.012184</td>\n", | |
| " <td>99.44730</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>77.31590</td>\n", | |
| " <td>399607</td>\n", | |
| " <td>0.002417</td>\n", | |
| " <td>1148.8300</td>\n", | |
| " <td>13262</td>\n", | |
| " <td>0.001038</td>\n", | |
| " <td>29.433400</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-04 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>14492</td>\n", | |
| " <td>0.198464</td>\n", | |
| " <td>8522.180</td>\n", | |
| " <td>9552</td>\n", | |
| " <td>0.013417</td>\n", | |
| " <td>9.66115</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>46.79530</td>\n", | |
| " <td>402245</td>\n", | |
| " <td>0.002433</td>\n", | |
| " <td>312.5680</td>\n", | |
| " <td>13771</td>\n", | |
| " <td>0.001078</td>\n", | |
| " <td>41.858000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-05 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>15452</td>\n", | |
| " <td>0.211548</td>\n", | |
| " <td>3578.680</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>19.58740</td>\n", | |
| " <td>390390</td>\n", | |
| " <td>0.002361</td>\n", | |
| " <td>1372.8300</td>\n", | |
| " <td>14757</td>\n", | |
| " <td>0.001155</td>\n", | |
| " <td>301.595000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>1349 rows × 1395 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " 007 1CR \\\n", | |
| " market_cap price volume market_cap price \n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "... ... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 NaN NaN NaN 131202 1.906870 \n", | |
| "2016-12-08 00:00:00+00:00 NaN NaN NaN 135062 1.958130 \n", | |
| "2016-12-09 00:00:00+00:00 NaN NaN NaN 124195 1.796680 \n", | |
| "2016-12-10 00:00:00+00:00 NaN NaN NaN 129392 1.867920 \n", | |
| "2016-12-11 00:00:00+00:00 NaN NaN NaN 153139 2.205130 \n", | |
| "2016-12-12 00:00:00+00:00 NaN NaN NaN 138044 1.982940 \n", | |
| "2016-12-13 00:00:00+00:00 NaN NaN NaN 136122 1.950880 \n", | |
| "2016-12-14 00:00:00+00:00 NaN NaN NaN 131856 1.885170 \n", | |
| "2016-12-15 00:00:00+00:00 NaN NaN NaN 146485 2.089690 \n", | |
| "2016-12-16 00:00:00+00:00 NaN NaN NaN 134129 1.908910 \n", | |
| "2016-12-17 00:00:00+00:00 NaN NaN NaN 135247 1.920660 \n", | |
| "2016-12-18 00:00:00+00:00 NaN NaN NaN 133548 1.892560 \n", | |
| "2016-12-19 00:00:00+00:00 NaN NaN NaN 54819 0.775576 \n", | |
| "2016-12-20 00:00:00+00:00 NaN NaN NaN 46810 0.661667 \n", | |
| "2016-12-21 00:00:00+00:00 NaN NaN NaN 41192 0.582252 \n", | |
| "2016-12-22 00:00:00+00:00 NaN NaN NaN 31755 0.448863 \n", | |
| "2016-12-23 00:00:00+00:00 NaN NaN NaN 31286 0.442229 \n", | |
| "2016-12-24 00:00:00+00:00 NaN NaN NaN 35873 0.507067 \n", | |
| "2016-12-25 00:00:00+00:00 NaN NaN NaN 32319 0.456833 \n", | |
| "2016-12-26 00:00:00+00:00 NaN NaN NaN 33030 0.466200 \n", | |
| "2016-12-27 00:00:00+00:00 NaN NaN NaN 31628 0.445404 \n", | |
| "2016-12-28 00:00:00+00:00 NaN NaN NaN 27805 0.385657 \n", | |
| "2016-12-29 00:00:00+00:00 NaN NaN NaN 25458 0.353036 \n", | |
| "2016-12-30 00:00:00+00:00 NaN NaN NaN 20661 0.285743 \n", | |
| "2016-12-31 00:00:00+00:00 NaN NaN NaN 20792 0.286883 \n", | |
| "2017-01-01 00:00:00+00:00 NaN NaN NaN 23226 0.319745 \n", | |
| "2017-01-02 00:00:00+00:00 NaN NaN NaN 20838 0.286249 \n", | |
| "2017-01-03 00:00:00+00:00 NaN NaN NaN 19542 0.267980 \n", | |
| "2017-01-04 00:00:00+00:00 NaN NaN NaN 14492 0.198464 \n", | |
| "2017-01-05 00:00:00+00:00 NaN NaN NaN 15452 0.211548 \n", | |
| "\n", | |
| " 8BIT \\\n", | |
| " volume market_cap price volume \n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 2985.290 8166 0.011471 1454.68000 \n", | |
| "2016-12-08 00:00:00+00:00 8432.190 8471 0.011899 807.71000 \n", | |
| "2016-12-09 00:00:00+00:00 8201.960 8622 0.012111 575.70200 \n", | |
| "2016-12-10 00:00:00+00:00 7690.310 8225 0.011553 260.29200 \n", | |
| "2016-12-11 00:00:00+00:00 11328.200 9144 0.012844 284.02200 \n", | |
| "2016-12-12 00:00:00+00:00 5467.240 9472 0.013305 289.58700 \n", | |
| "2016-12-13 00:00:00+00:00 1905.540 9623 0.013517 149.67200 \n", | |
| "2016-12-14 00:00:00+00:00 2960.280 9503 0.013348 289.09900 \n", | |
| "2016-12-15 00:00:00+00:00 3691.850 9153 0.012857 203.36200 \n", | |
| "2016-12-16 00:00:00+00:00 616.710 9986 0.014026 232.48100 \n", | |
| "2016-12-17 00:00:00+00:00 1284.530 8864 0.012450 123.51100 \n", | |
| "2016-12-18 00:00:00+00:00 561.786 9162 0.012869 337.84200 \n", | |
| "2016-12-19 00:00:00+00:00 30425.800 10162 0.014274 342.80000 \n", | |
| "2016-12-20 00:00:00+00:00 14380.600 8949 0.012570 109.75800 \n", | |
| "2016-12-21 00:00:00+00:00 2270.200 8897 0.012497 254.25900 \n", | |
| "2016-12-22 00:00:00+00:00 3703.930 10351 0.014540 159.85900 \n", | |
| "2016-12-23 00:00:00+00:00 755.973 9611 0.013500 329.43500 \n", | |
| "2016-12-24 00:00:00+00:00 958.943 8945 0.012565 39.23770 \n", | |
| "2016-12-25 00:00:00+00:00 712.699 7828 0.010996 64.29970 \n", | |
| "2016-12-26 00:00:00+00:00 657.728 9001 0.012644 52.75430 \n", | |
| "2016-12-27 00:00:00+00:00 1834.520 9095 0.012775 125.70900 \n", | |
| "2016-12-28 00:00:00+00:00 1310.560 9047 0.012708 96.28830 \n", | |
| "2016-12-29 00:00:00+00:00 1673.300 8383 0.011775 94.14810 \n", | |
| "2016-12-30 00:00:00+00:00 2353.320 8144 0.011440 152.12700 \n", | |
| "2016-12-31 00:00:00+00:00 4897.410 8127 0.011415 27.68950 \n", | |
| "2017-01-01 00:00:00+00:00 784.758 NaN NaN NaN \n", | |
| "2017-01-02 00:00:00+00:00 1942.420 7876 0.011064 88.82730 \n", | |
| "2017-01-03 00:00:00+00:00 1214.060 8674 0.012184 99.44730 \n", | |
| "2017-01-04 00:00:00+00:00 8522.180 9552 0.013417 9.66115 \n", | |
| "2017-01-05 00:00:00+00:00 3578.680 NaN NaN NaN \n", | |
| "\n", | |
| " ACCI ... ZEIT ZET \\\n", | |
| " market_cap ... volume market_cap price \n", | |
| "2013-04-28 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN ... NaN NaN NaN \n", | |
| "... ... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 0 ... 4.72693 380953 0.002306 \n", | |
| "2016-12-08 00:00:00+00:00 0 ... 42.79170 414546 0.002509 \n", | |
| "2016-12-09 00:00:00+00:00 0 ... 169.30200 398704 0.002413 \n", | |
| "2016-12-10 00:00:00+00:00 0 ... 18.37240 418769 0.002535 \n", | |
| "2016-12-11 00:00:00+00:00 0 ... 13.88110 406794 0.002462 \n", | |
| "2016-12-12 00:00:00+00:00 0 ... 29.23070 423150 0.002561 \n", | |
| "2016-12-13 00:00:00+00:00 0 ... 21.31290 422691 0.002558 \n", | |
| "2016-12-14 00:00:00+00:00 0 ... 403.58200 405366 0.002453 \n", | |
| "2016-12-15 00:00:00+00:00 0 ... 160.58200 430385 0.002605 \n", | |
| "2016-12-16 00:00:00+00:00 0 ... 27.44060 422191 0.002555 \n", | |
| "2016-12-17 00:00:00+00:00 0 ... 44.93940 399475 0.002417 \n", | |
| "2016-12-18 00:00:00+00:00 0 ... 681.95700 391753 0.002371 \n", | |
| "2016-12-19 00:00:00+00:00 0 ... 15.81800 401294 0.002428 \n", | |
| "2016-12-20 00:00:00+00:00 0 ... 45.04890 398917 0.002414 \n", | |
| "2016-12-21 00:00:00+00:00 0 ... 105.62100 400378 0.002423 \n", | |
| "2016-12-22 00:00:00+00:00 0 ... 73.89660 392904 0.002377 \n", | |
| "2016-12-23 00:00:00+00:00 0 ... 53.36030 418984 0.002535 \n", | |
| "2016-12-24 00:00:00+00:00 0 ... 85.06190 419654 0.002539 \n", | |
| "2016-12-25 00:00:00+00:00 0 ... 135.34300 397604 0.002405 \n", | |
| "2016-12-26 00:00:00+00:00 0 ... 30.41500 424332 0.002567 \n", | |
| "2016-12-27 00:00:00+00:00 0 ... 321.33100 404884 0.002449 \n", | |
| "2016-12-28 00:00:00+00:00 0 ... 157.96600 464599 0.002811 \n", | |
| "2016-12-29 00:00:00+00:00 0 ... 79.97320 417289 0.002524 \n", | |
| "2016-12-30 00:00:00+00:00 0 ... 294.01400 391127 0.002366 \n", | |
| "2016-12-31 00:00:00+00:00 0 ... 12.99360 421838 0.002552 \n", | |
| "2017-01-01 00:00:00+00:00 0 ... 12.68390 399328 0.002415 \n", | |
| "2017-01-02 00:00:00+00:00 0 ... 59.04650 405360 0.002452 \n", | |
| "2017-01-03 00:00:00+00:00 0 ... 77.31590 399607 0.002417 \n", | |
| "2017-01-04 00:00:00+00:00 0 ... 46.79530 402245 0.002433 \n", | |
| "2017-01-05 00:00:00+00:00 0 ... 19.58740 390390 0.002361 \n", | |
| "\n", | |
| " ZRC \\\n", | |
| " volume market_cap price volume \n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 733.4450 18473 0.001446 10.577700 \n", | |
| "2016-12-08 00:00:00+00:00 577.2190 11748 0.000920 39.983800 \n", | |
| "2016-12-09 00:00:00+00:00 244.8520 10784 0.000844 10.633900 \n", | |
| "2016-12-10 00:00:00+00:00 1443.9200 10575 0.000828 12.918000 \n", | |
| "2016-12-11 00:00:00+00:00 917.1470 10211 0.000799 4.139200 \n", | |
| "2016-12-12 00:00:00+00:00 820.5390 10297 0.000806 3.497450 \n", | |
| "2016-12-13 00:00:00+00:00 782.1050 10172 0.000796 35.580200 \n", | |
| "2016-12-14 00:00:00+00:00 1057.0000 10175 0.000797 42.657200 \n", | |
| "2016-12-15 00:00:00+00:00 416.5720 10267 0.000804 27.721400 \n", | |
| "2016-12-16 00:00:00+00:00 1074.0300 10489 0.000821 20.544000 \n", | |
| "2016-12-17 00:00:00+00:00 947.6060 10399 0.000814 0.055712 \n", | |
| "2016-12-18 00:00:00+00:00 59.6472 10316 0.000808 30.381400 \n", | |
| "2016-12-19 00:00:00+00:00 626.5740 10213 0.000800 9.506720 \n", | |
| "2016-12-20 00:00:00+00:00 367.4990 10342 0.000810 13.293900 \n", | |
| "2016-12-21 00:00:00+00:00 572.7480 10534 0.000825 16.412000 \n", | |
| "2016-12-22 00:00:00+00:00 272.2680 11277 0.000883 55.874800 \n", | |
| "2016-12-23 00:00:00+00:00 979.0470 11584 0.000907 16.409900 \n", | |
| "2016-12-24 00:00:00+00:00 2036.2600 11548 0.000904 5.902280 \n", | |
| "2016-12-25 00:00:00+00:00 369.1160 11023 0.000863 388.331000 \n", | |
| "2016-12-26 00:00:00+00:00 433.3510 11481 0.000899 12.911500 \n", | |
| "2016-12-27 00:00:00+00:00 2134.0600 11784 0.000923 184.754000 \n", | |
| "2016-12-28 00:00:00+00:00 1274.3900 12360 0.000968 3.456220 \n", | |
| "2016-12-29 00:00:00+00:00 519.2140 12419 0.000972 27.560100 \n", | |
| "2016-12-30 00:00:00+00:00 228.1880 11948 0.000935 71.528700 \n", | |
| "2016-12-31 00:00:00+00:00 137.9380 12172 0.000953 4.066120 \n", | |
| "2017-01-01 00:00:00+00:00 274.0240 12354 0.000967 18.376100 \n", | |
| "2017-01-02 00:00:00+00:00 1784.5500 13058 0.001022 66.134600 \n", | |
| "2017-01-03 00:00:00+00:00 1148.8300 13262 0.001038 29.433400 \n", | |
| "2017-01-04 00:00:00+00:00 312.5680 13771 0.001078 41.858000 \n", | |
| "2017-01-05 00:00:00+00:00 1372.8300 14757 0.001155 301.595000 \n", | |
| "\n", | |
| " ZS \n", | |
| " market_cap price volume \n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN \n", | |
| "... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-08 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-09 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-10 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-11 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-12 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-13 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-14 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-15 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-16 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-17 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-18 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-19 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-20 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-21 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-22 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-23 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-24 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-25 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-26 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-27 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-28 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-29 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-30 00:00:00+00:00 NaN NaN NaN \n", | |
| "2016-12-31 00:00:00+00:00 NaN NaN NaN \n", | |
| "2017-01-01 00:00:00+00:00 NaN NaN NaN \n", | |
| "2017-01-02 00:00:00+00:00 NaN NaN NaN \n", | |
| "2017-01-03 00:00:00+00:00 NaN NaN NaN \n", | |
| "2017-01-04 00:00:00+00:00 NaN NaN NaN \n", | |
| "2017-01-05 00:00:00+00:00 NaN NaN NaN \n", | |
| "\n", | |
| "[1349 rows x 1395 columns]" | |
| ] | |
| }, | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "save_file = './data/cryptocoins.pickle'\n", | |
| "df = pd.read_pickle(save_file)\n", | |
| "df" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-23T10:23:37.718027", | |
| "start_time": "2017-02-23T10:23:37.715677" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# # or as a panel\n", | |
| "# d2={}\n", | |
| "# for key in df.columns.levels[0]:\n", | |
| "# d2[key]=df[key]\n", | |
| "# panel = pd.Panel(d2)\n", | |
| "# panel" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-23T10:23:37.926450", | |
| "start_time": "2017-02-23T10:23:37.924130" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# # index from index and col\n", | |
| "# ind = pd.MultiIndex.from_arrays([df.index,df.coin])\n", | |
| "# df.index=ind\n", | |
| "# df" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-23T10:23:38.260311", | |
| "start_time": "2017-02-23T10:23:38.137047" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>007</th>\n", | |
| " <th>1CR</th>\n", | |
| " <th>8BIT</th>\n", | |
| " <th>ACCI</th>\n", | |
| " <th>ACOIN</th>\n", | |
| " <th>AC</th>\n", | |
| " <th>ADN</th>\n", | |
| " <th>ADZ</th>\n", | |
| " <th>AEON</th>\n", | |
| " <th>ALN</th>\n", | |
| " <th>...</th>\n", | |
| " <th>YOC</th>\n", | |
| " <th>YUM</th>\n", | |
| " <th>ZCC</th>\n", | |
| " <th>ZCL</th>\n", | |
| " <th>ZEC</th>\n", | |
| " <th>ZED</th>\n", | |
| " <th>ZEIT</th>\n", | |
| " <th>ZET</th>\n", | |
| " <th>ZRC</th>\n", | |
| " <th>ZS</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>2013-04-28 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-04-29 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-04-30 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-01 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-02 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-03 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-04 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-05 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-06 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-07 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-08 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-09 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-10 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-11 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-12 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-13 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-14 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-15 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-16 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-17 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-18 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-19 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-20 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-21 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-22 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-23 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-24 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-25 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-26 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-27 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>...</th>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-07 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1.906870</td>\n", | |
| " <td>0.011471</td>\n", | |
| " <td>2.04458</td>\n", | |
| " <td>0.002142</td>\n", | |
| " <td>0.001012</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.015169</td>\n", | |
| " <td>0.083196</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.024892</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005362</td>\n", | |
| " <td>0.443455</td>\n", | |
| " <td>61.1701</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000008</td>\n", | |
| " <td>0.002306</td>\n", | |
| " <td>0.001446</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-08 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1.958130</td>\n", | |
| " <td>0.011899</td>\n", | |
| " <td>1.88826</td>\n", | |
| " <td>0.002210</td>\n", | |
| " <td>0.000615</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.013958</td>\n", | |
| " <td>0.070202</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.025394</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005783</td>\n", | |
| " <td>0.394851</td>\n", | |
| " <td>54.5084</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000007</td>\n", | |
| " <td>0.002509</td>\n", | |
| " <td>0.000920</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-09 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1.796680</td>\n", | |
| " <td>0.012111</td>\n", | |
| " <td>1.71960</td>\n", | |
| " <td>0.002170</td>\n", | |
| " <td>0.000616</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.014750</td>\n", | |
| " <td>0.073382</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.026818</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005667</td>\n", | |
| " <td>0.385864</td>\n", | |
| " <td>51.0422</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000006</td>\n", | |
| " <td>0.002413</td>\n", | |
| " <td>0.000844</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-10 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1.867920</td>\n", | |
| " <td>0.011553</td>\n", | |
| " <td>1.96007</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000767</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.013957</td>\n", | |
| " <td>0.057295</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.026582</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005505</td>\n", | |
| " <td>0.388088</td>\n", | |
| " <td>48.8893</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000002</td>\n", | |
| " <td>0.002535</td>\n", | |
| " <td>0.000828</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-11 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>2.205130</td>\n", | |
| " <td>0.012844</td>\n", | |
| " <td>1.77705</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000690</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.015811</td>\n", | |
| " <td>0.058643</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.026296</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005354</td>\n", | |
| " <td>0.389902</td>\n", | |
| " <td>48.7251</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000003</td>\n", | |
| " <td>0.002462</td>\n", | |
| " <td>0.000799</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-12 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1.982940</td>\n", | |
| " <td>0.013305</td>\n", | |
| " <td>1.84137</td>\n", | |
| " <td>0.003009</td>\n", | |
| " <td>0.000687</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.018081</td>\n", | |
| " <td>0.051837</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.026383</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005487</td>\n", | |
| " <td>0.518066</td>\n", | |
| " <td>48.9006</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000007</td>\n", | |
| " <td>0.002561</td>\n", | |
| " <td>0.000806</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-13 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1.950880</td>\n", | |
| " <td>0.013517</td>\n", | |
| " <td>1.90849</td>\n", | |
| " <td>0.002578</td>\n", | |
| " <td>0.000710</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.025902</td>\n", | |
| " <td>0.050182</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.026882</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005355</td>\n", | |
| " <td>0.431788</td>\n", | |
| " <td>48.3357</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000009</td>\n", | |
| " <td>0.002558</td>\n", | |
| " <td>0.000796</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-14 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1.885170</td>\n", | |
| " <td>0.013348</td>\n", | |
| " <td>1.84245</td>\n", | |
| " <td>0.002485</td>\n", | |
| " <td>0.000836</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.024237</td>\n", | |
| " <td>0.050761</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.024335</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005215</td>\n", | |
| " <td>0.423627</td>\n", | |
| " <td>43.5848</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000007</td>\n", | |
| " <td>0.002453</td>\n", | |
| " <td>0.000797</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-15 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>2.089690</td>\n", | |
| " <td>0.012857</td>\n", | |
| " <td>1.77606</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000850</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.030328</td>\n", | |
| " <td>0.052958</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.020715</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005793</td>\n", | |
| " <td>0.392499</td>\n", | |
| " <td>41.6685</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000009</td>\n", | |
| " <td>0.002605</td>\n", | |
| " <td>0.000804</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-16 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1.908910</td>\n", | |
| " <td>0.014026</td>\n", | |
| " <td>1.93515</td>\n", | |
| " <td>0.002529</td>\n", | |
| " <td>0.000588</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.025939</td>\n", | |
| " <td>0.054194</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.021564</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005964</td>\n", | |
| " <td>0.390656</td>\n", | |
| " <td>40.5549</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000007</td>\n", | |
| " <td>0.002555</td>\n", | |
| " <td>0.000821</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-17 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1.920660</td>\n", | |
| " <td>0.012450</td>\n", | |
| " <td>1.80751</td>\n", | |
| " <td>0.002712</td>\n", | |
| " <td>0.000617</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.033863</td>\n", | |
| " <td>0.054409</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.016210</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005892</td>\n", | |
| " <td>0.470544</td>\n", | |
| " <td>36.5751</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000009</td>\n", | |
| " <td>0.002417</td>\n", | |
| " <td>0.000814</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-18 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1.892560</td>\n", | |
| " <td>0.012869</td>\n", | |
| " <td>1.79015</td>\n", | |
| " <td>0.003009</td>\n", | |
| " <td>0.000973</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.033795</td>\n", | |
| " <td>0.051304</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.018385</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005714</td>\n", | |
| " <td>0.480671</td>\n", | |
| " <td>37.5471</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000007</td>\n", | |
| " <td>0.002371</td>\n", | |
| " <td>0.000808</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-19 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.775576</td>\n", | |
| " <td>0.014274</td>\n", | |
| " <td>1.76923</td>\n", | |
| " <td>0.003101</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.031583</td>\n", | |
| " <td>0.051329</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.018789</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005635</td>\n", | |
| " <td>0.447239</td>\n", | |
| " <td>33.9465</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000009</td>\n", | |
| " <td>0.002428</td>\n", | |
| " <td>0.000800</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-20 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.661667</td>\n", | |
| " <td>0.012570</td>\n", | |
| " <td>1.85737</td>\n", | |
| " <td>0.002514</td>\n", | |
| " <td>0.000729</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.032423</td>\n", | |
| " <td>0.055977</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.018840</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005483</td>\n", | |
| " <td>0.430046</td>\n", | |
| " <td>37.6788</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000007</td>\n", | |
| " <td>0.002414</td>\n", | |
| " <td>0.000810</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-21 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.582252</td>\n", | |
| " <td>0.012497</td>\n", | |
| " <td>1.84783</td>\n", | |
| " <td>0.002859</td>\n", | |
| " <td>0.001001</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.033245</td>\n", | |
| " <td>0.058727</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.018108</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005778</td>\n", | |
| " <td>0.455408</td>\n", | |
| " <td>35.8998</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000006</td>\n", | |
| " <td>0.002423</td>\n", | |
| " <td>0.000825</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-22 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.448863</td>\n", | |
| " <td>0.014540</td>\n", | |
| " <td>1.89037</td>\n", | |
| " <td>0.002533</td>\n", | |
| " <td>0.000780</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.026807</td>\n", | |
| " <td>0.056279</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.031658</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005908</td>\n", | |
| " <td>0.443095</td>\n", | |
| " <td>45.2497</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000006</td>\n", | |
| " <td>0.002377</td>\n", | |
| " <td>0.000883</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-23 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.442229</td>\n", | |
| " <td>0.013500</td>\n", | |
| " <td>1.78616</td>\n", | |
| " <td>0.002341</td>\n", | |
| " <td>0.000597</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.026701</td>\n", | |
| " <td>0.059354</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.024388</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005877</td>\n", | |
| " <td>0.444960</td>\n", | |
| " <td>55.2787</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000004</td>\n", | |
| " <td>0.002535</td>\n", | |
| " <td>0.000907</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-24 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.507067</td>\n", | |
| " <td>0.012565</td>\n", | |
| " <td>1.92003</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000452</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.017526</td>\n", | |
| " <td>0.057357</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.019568</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.006613</td>\n", | |
| " <td>0.531303</td>\n", | |
| " <td>48.1688</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000009</td>\n", | |
| " <td>0.002539</td>\n", | |
| " <td>0.000904</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-25 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.456833</td>\n", | |
| " <td>0.010996</td>\n", | |
| " <td>1.83351</td>\n", | |
| " <td>0.002693</td>\n", | |
| " <td>0.000292</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.014715</td>\n", | |
| " <td>0.058353</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.023137</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.006020</td>\n", | |
| " <td>0.445468</td>\n", | |
| " <td>45.8779</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000008</td>\n", | |
| " <td>0.002405</td>\n", | |
| " <td>0.000863</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-26 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.466200</td>\n", | |
| " <td>0.012644</td>\n", | |
| " <td>1.83902</td>\n", | |
| " <td>0.003302</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.016036</td>\n", | |
| " <td>0.066375</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.029917</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.006079</td>\n", | |
| " <td>0.402992</td>\n", | |
| " <td>43.9489</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000006</td>\n", | |
| " <td>0.002567</td>\n", | |
| " <td>0.000899</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-27 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.445404</td>\n", | |
| " <td>0.012775</td>\n", | |
| " <td>1.88212</td>\n", | |
| " <td>0.003374</td>\n", | |
| " <td>0.000328</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.016087</td>\n", | |
| " <td>0.067899</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.017370</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.006399</td>\n", | |
| " <td>0.389912</td>\n", | |
| " <td>45.7706</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000009</td>\n", | |
| " <td>0.002449</td>\n", | |
| " <td>0.000923</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-28 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.385657</td>\n", | |
| " <td>0.012708</td>\n", | |
| " <td>1.85043</td>\n", | |
| " <td>0.002866</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.017988</td>\n", | |
| " <td>0.116740</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.016507</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.006871</td>\n", | |
| " <td>0.380556</td>\n", | |
| " <td>50.1596</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000009</td>\n", | |
| " <td>0.002811</td>\n", | |
| " <td>0.000968</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-29 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.353036</td>\n", | |
| " <td>0.011775</td>\n", | |
| " <td>1.98381</td>\n", | |
| " <td>0.002642</td>\n", | |
| " <td>0.000662</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.015282</td>\n", | |
| " <td>0.103484</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.024916</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.006171</td>\n", | |
| " <td>0.393408</td>\n", | |
| " <td>51.0886</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000009</td>\n", | |
| " <td>0.002524</td>\n", | |
| " <td>0.000972</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-30 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.285743</td>\n", | |
| " <td>0.011440</td>\n", | |
| " <td>1.99486</td>\n", | |
| " <td>0.002571</td>\n", | |
| " <td>0.000505</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.012907</td>\n", | |
| " <td>0.105628</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.044960</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005879</td>\n", | |
| " <td>0.379817</td>\n", | |
| " <td>50.4724</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000007</td>\n", | |
| " <td>0.002366</td>\n", | |
| " <td>0.000935</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-31 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.286883</td>\n", | |
| " <td>0.011415</td>\n", | |
| " <td>2.00856</td>\n", | |
| " <td>0.002579</td>\n", | |
| " <td>0.000649</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.013201</td>\n", | |
| " <td>0.092931</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.042698</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005759</td>\n", | |
| " <td>0.376091</td>\n", | |
| " <td>48.6285</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000008</td>\n", | |
| " <td>0.002552</td>\n", | |
| " <td>0.000953</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-01 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.319745</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>2.07574</td>\n", | |
| " <td>0.002660</td>\n", | |
| " <td>0.000407</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.013854</td>\n", | |
| " <td>0.099724</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.042376</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005760</td>\n", | |
| " <td>0.388404</td>\n", | |
| " <td>48.3704</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000008</td>\n", | |
| " <td>0.002415</td>\n", | |
| " <td>0.000967</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-02 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.286249</td>\n", | |
| " <td>0.011064</td>\n", | |
| " <td>1.98685</td>\n", | |
| " <td>0.002725</td>\n", | |
| " <td>0.000431</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.013333</td>\n", | |
| " <td>0.106324</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.022128</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005934</td>\n", | |
| " <td>0.392855</td>\n", | |
| " <td>49.5179</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000007</td>\n", | |
| " <td>0.002452</td>\n", | |
| " <td>0.001022</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-03 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.267980</td>\n", | |
| " <td>0.012184</td>\n", | |
| " <td>2.07906</td>\n", | |
| " <td>0.002800</td>\n", | |
| " <td>0.000412</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.012086</td>\n", | |
| " <td>0.130579</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.030784</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.005891</td>\n", | |
| " <td>0.409619</td>\n", | |
| " <td>50.7665</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000007</td>\n", | |
| " <td>0.002417</td>\n", | |
| " <td>0.001038</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-04 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.198464</td>\n", | |
| " <td>0.013417</td>\n", | |
| " <td>2.37073</td>\n", | |
| " <td>0.002936</td>\n", | |
| " <td>0.000442</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.013374</td>\n", | |
| " <td>0.150805</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.031629</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.006034</td>\n", | |
| " <td>0.410063</td>\n", | |
| " <td>53.8877</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000006</td>\n", | |
| " <td>0.002433</td>\n", | |
| " <td>0.001078</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-05 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.211548</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>2.47286</td>\n", | |
| " <td>0.002968</td>\n", | |
| " <td>0.000673</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.016461</td>\n", | |
| " <td>0.167590</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.033559</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.007478</td>\n", | |
| " <td>0.424296</td>\n", | |
| " <td>56.4973</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.000007</td>\n", | |
| " <td>0.002361</td>\n", | |
| " <td>0.001155</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>1349 rows × 465 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " 007 1CR 8BIT ACCI ACOIN \\\n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN NaN NaN \n", | |
| "... ... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 NaN 1.906870 0.011471 2.04458 0.002142 \n", | |
| "2016-12-08 00:00:00+00:00 NaN 1.958130 0.011899 1.88826 0.002210 \n", | |
| "2016-12-09 00:00:00+00:00 NaN 1.796680 0.012111 1.71960 0.002170 \n", | |
| "2016-12-10 00:00:00+00:00 NaN 1.867920 0.011553 1.96007 NaN \n", | |
| "2016-12-11 00:00:00+00:00 NaN 2.205130 0.012844 1.77705 NaN \n", | |
| "2016-12-12 00:00:00+00:00 NaN 1.982940 0.013305 1.84137 0.003009 \n", | |
| "2016-12-13 00:00:00+00:00 NaN 1.950880 0.013517 1.90849 0.002578 \n", | |
| "2016-12-14 00:00:00+00:00 NaN 1.885170 0.013348 1.84245 0.002485 \n", | |
| "2016-12-15 00:00:00+00:00 NaN 2.089690 0.012857 1.77606 NaN \n", | |
| "2016-12-16 00:00:00+00:00 NaN 1.908910 0.014026 1.93515 0.002529 \n", | |
| "2016-12-17 00:00:00+00:00 NaN 1.920660 0.012450 1.80751 0.002712 \n", | |
| "2016-12-18 00:00:00+00:00 NaN 1.892560 0.012869 1.79015 0.003009 \n", | |
| "2016-12-19 00:00:00+00:00 NaN 0.775576 0.014274 1.76923 0.003101 \n", | |
| "2016-12-20 00:00:00+00:00 NaN 0.661667 0.012570 1.85737 0.002514 \n", | |
| "2016-12-21 00:00:00+00:00 NaN 0.582252 0.012497 1.84783 0.002859 \n", | |
| "2016-12-22 00:00:00+00:00 NaN 0.448863 0.014540 1.89037 0.002533 \n", | |
| "2016-12-23 00:00:00+00:00 NaN 0.442229 0.013500 1.78616 0.002341 \n", | |
| "2016-12-24 00:00:00+00:00 NaN 0.507067 0.012565 1.92003 NaN \n", | |
| "2016-12-25 00:00:00+00:00 NaN 0.456833 0.010996 1.83351 0.002693 \n", | |
| "2016-12-26 00:00:00+00:00 NaN 0.466200 0.012644 1.83902 0.003302 \n", | |
| "2016-12-27 00:00:00+00:00 NaN 0.445404 0.012775 1.88212 0.003374 \n", | |
| "2016-12-28 00:00:00+00:00 NaN 0.385657 0.012708 1.85043 0.002866 \n", | |
| "2016-12-29 00:00:00+00:00 NaN 0.353036 0.011775 1.98381 0.002642 \n", | |
| "2016-12-30 00:00:00+00:00 NaN 0.285743 0.011440 1.99486 0.002571 \n", | |
| "2016-12-31 00:00:00+00:00 NaN 0.286883 0.011415 2.00856 0.002579 \n", | |
| "2017-01-01 00:00:00+00:00 NaN 0.319745 NaN 2.07574 0.002660 \n", | |
| "2017-01-02 00:00:00+00:00 NaN 0.286249 0.011064 1.98685 0.002725 \n", | |
| "2017-01-03 00:00:00+00:00 NaN 0.267980 0.012184 2.07906 0.002800 \n", | |
| "2017-01-04 00:00:00+00:00 NaN 0.198464 0.013417 2.37073 0.002936 \n", | |
| "2017-01-05 00:00:00+00:00 NaN 0.211548 NaN 2.47286 0.002968 \n", | |
| "\n", | |
| " AC ADN ADZ AEON ALN ... \\\n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN NaN NaN ... \n", | |
| "... ... ... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 0.001012 NaN 0.015169 0.083196 NaN ... \n", | |
| "2016-12-08 00:00:00+00:00 0.000615 NaN 0.013958 0.070202 NaN ... \n", | |
| "2016-12-09 00:00:00+00:00 0.000616 NaN 0.014750 0.073382 NaN ... \n", | |
| "2016-12-10 00:00:00+00:00 0.000767 NaN 0.013957 0.057295 NaN ... \n", | |
| "2016-12-11 00:00:00+00:00 0.000690 NaN 0.015811 0.058643 NaN ... \n", | |
| "2016-12-12 00:00:00+00:00 0.000687 NaN 0.018081 0.051837 NaN ... \n", | |
| "2016-12-13 00:00:00+00:00 0.000710 NaN 0.025902 0.050182 NaN ... \n", | |
| "2016-12-14 00:00:00+00:00 0.000836 NaN 0.024237 0.050761 NaN ... \n", | |
| "2016-12-15 00:00:00+00:00 0.000850 NaN 0.030328 0.052958 NaN ... \n", | |
| "2016-12-16 00:00:00+00:00 0.000588 NaN 0.025939 0.054194 NaN ... \n", | |
| "2016-12-17 00:00:00+00:00 0.000617 NaN 0.033863 0.054409 NaN ... \n", | |
| "2016-12-18 00:00:00+00:00 0.000973 NaN 0.033795 0.051304 NaN ... \n", | |
| "2016-12-19 00:00:00+00:00 NaN NaN 0.031583 0.051329 NaN ... \n", | |
| "2016-12-20 00:00:00+00:00 0.000729 NaN 0.032423 0.055977 NaN ... \n", | |
| "2016-12-21 00:00:00+00:00 0.001001 NaN 0.033245 0.058727 NaN ... \n", | |
| "2016-12-22 00:00:00+00:00 0.000780 NaN 0.026807 0.056279 NaN ... \n", | |
| "2016-12-23 00:00:00+00:00 0.000597 NaN 0.026701 0.059354 NaN ... \n", | |
| "2016-12-24 00:00:00+00:00 0.000452 NaN 0.017526 0.057357 NaN ... \n", | |
| "2016-12-25 00:00:00+00:00 0.000292 NaN 0.014715 0.058353 NaN ... \n", | |
| "2016-12-26 00:00:00+00:00 NaN NaN 0.016036 0.066375 NaN ... \n", | |
| "2016-12-27 00:00:00+00:00 0.000328 NaN 0.016087 0.067899 NaN ... \n", | |
| "2016-12-28 00:00:00+00:00 NaN NaN 0.017988 0.116740 NaN ... \n", | |
| "2016-12-29 00:00:00+00:00 0.000662 NaN 0.015282 0.103484 NaN ... \n", | |
| "2016-12-30 00:00:00+00:00 0.000505 NaN 0.012907 0.105628 NaN ... \n", | |
| "2016-12-31 00:00:00+00:00 0.000649 NaN 0.013201 0.092931 NaN ... \n", | |
| "2017-01-01 00:00:00+00:00 0.000407 NaN 0.013854 0.099724 NaN ... \n", | |
| "2017-01-02 00:00:00+00:00 0.000431 NaN 0.013333 0.106324 NaN ... \n", | |
| "2017-01-03 00:00:00+00:00 0.000412 NaN 0.012086 0.130579 NaN ... \n", | |
| "2017-01-04 00:00:00+00:00 0.000442 NaN 0.013374 0.150805 NaN ... \n", | |
| "2017-01-05 00:00:00+00:00 0.000673 NaN 0.016461 0.167590 NaN ... \n", | |
| "\n", | |
| " YOC YUM ZCC ZCL ZEC ZED \\\n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN NaN NaN NaN \n", | |
| "... ... ... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 0.024892 NaN 0.005362 0.443455 61.1701 NaN \n", | |
| "2016-12-08 00:00:00+00:00 0.025394 NaN 0.005783 0.394851 54.5084 NaN \n", | |
| "2016-12-09 00:00:00+00:00 0.026818 NaN 0.005667 0.385864 51.0422 NaN \n", | |
| "2016-12-10 00:00:00+00:00 0.026582 NaN 0.005505 0.388088 48.8893 NaN \n", | |
| "2016-12-11 00:00:00+00:00 0.026296 NaN 0.005354 0.389902 48.7251 NaN \n", | |
| "2016-12-12 00:00:00+00:00 0.026383 NaN 0.005487 0.518066 48.9006 NaN \n", | |
| "2016-12-13 00:00:00+00:00 0.026882 NaN 0.005355 0.431788 48.3357 NaN \n", | |
| "2016-12-14 00:00:00+00:00 0.024335 NaN 0.005215 0.423627 43.5848 NaN \n", | |
| "2016-12-15 00:00:00+00:00 0.020715 NaN 0.005793 0.392499 41.6685 NaN \n", | |
| "2016-12-16 00:00:00+00:00 0.021564 NaN 0.005964 0.390656 40.5549 NaN \n", | |
| "2016-12-17 00:00:00+00:00 0.016210 NaN 0.005892 0.470544 36.5751 NaN \n", | |
| "2016-12-18 00:00:00+00:00 0.018385 NaN 0.005714 0.480671 37.5471 NaN \n", | |
| "2016-12-19 00:00:00+00:00 0.018789 NaN 0.005635 0.447239 33.9465 NaN \n", | |
| "2016-12-20 00:00:00+00:00 0.018840 NaN 0.005483 0.430046 37.6788 NaN \n", | |
| "2016-12-21 00:00:00+00:00 0.018108 NaN 0.005778 0.455408 35.8998 NaN \n", | |
| "2016-12-22 00:00:00+00:00 0.031658 NaN 0.005908 0.443095 45.2497 NaN \n", | |
| "2016-12-23 00:00:00+00:00 0.024388 NaN 0.005877 0.444960 55.2787 NaN \n", | |
| "2016-12-24 00:00:00+00:00 0.019568 NaN 0.006613 0.531303 48.1688 NaN \n", | |
| "2016-12-25 00:00:00+00:00 0.023137 NaN 0.006020 0.445468 45.8779 NaN \n", | |
| "2016-12-26 00:00:00+00:00 0.029917 NaN 0.006079 0.402992 43.9489 NaN \n", | |
| "2016-12-27 00:00:00+00:00 0.017370 NaN 0.006399 0.389912 45.7706 NaN \n", | |
| "2016-12-28 00:00:00+00:00 0.016507 NaN 0.006871 0.380556 50.1596 NaN \n", | |
| "2016-12-29 00:00:00+00:00 0.024916 NaN 0.006171 0.393408 51.0886 NaN \n", | |
| "2016-12-30 00:00:00+00:00 0.044960 NaN 0.005879 0.379817 50.4724 NaN \n", | |
| "2016-12-31 00:00:00+00:00 0.042698 NaN 0.005759 0.376091 48.6285 NaN \n", | |
| "2017-01-01 00:00:00+00:00 0.042376 NaN 0.005760 0.388404 48.3704 NaN \n", | |
| "2017-01-02 00:00:00+00:00 0.022128 NaN 0.005934 0.392855 49.5179 NaN \n", | |
| "2017-01-03 00:00:00+00:00 0.030784 NaN 0.005891 0.409619 50.7665 NaN \n", | |
| "2017-01-04 00:00:00+00:00 0.031629 NaN 0.006034 0.410063 53.8877 NaN \n", | |
| "2017-01-05 00:00:00+00:00 0.033559 NaN 0.007478 0.424296 56.4973 NaN \n", | |
| "\n", | |
| " ZEIT ZET ZRC ZS \n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-04-29 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-04-30 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-01 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-02 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-03 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-04 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-06 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-07 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-08 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-09 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-10 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-11 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-13 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-14 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-15 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-16 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-17 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-18 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-20 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-21 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-22 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-23 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-24 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-25 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-27 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "... ... ... ... .. \n", | |
| "2016-12-07 00:00:00+00:00 0.000008 0.002306 0.001446 NaN \n", | |
| "2016-12-08 00:00:00+00:00 0.000007 0.002509 0.000920 NaN \n", | |
| "2016-12-09 00:00:00+00:00 0.000006 0.002413 0.000844 NaN \n", | |
| "2016-12-10 00:00:00+00:00 0.000002 0.002535 0.000828 NaN \n", | |
| "2016-12-11 00:00:00+00:00 0.000003 0.002462 0.000799 NaN \n", | |
| "2016-12-12 00:00:00+00:00 0.000007 0.002561 0.000806 NaN \n", | |
| "2016-12-13 00:00:00+00:00 0.000009 0.002558 0.000796 NaN \n", | |
| "2016-12-14 00:00:00+00:00 0.000007 0.002453 0.000797 NaN \n", | |
| "2016-12-15 00:00:00+00:00 0.000009 0.002605 0.000804 NaN \n", | |
| "2016-12-16 00:00:00+00:00 0.000007 0.002555 0.000821 NaN \n", | |
| "2016-12-17 00:00:00+00:00 0.000009 0.002417 0.000814 NaN \n", | |
| "2016-12-18 00:00:00+00:00 0.000007 0.002371 0.000808 NaN \n", | |
| "2016-12-19 00:00:00+00:00 0.000009 0.002428 0.000800 NaN \n", | |
| "2016-12-20 00:00:00+00:00 0.000007 0.002414 0.000810 NaN \n", | |
| "2016-12-21 00:00:00+00:00 0.000006 0.002423 0.000825 NaN \n", | |
| "2016-12-22 00:00:00+00:00 0.000006 0.002377 0.000883 NaN \n", | |
| "2016-12-23 00:00:00+00:00 0.000004 0.002535 0.000907 NaN \n", | |
| "2016-12-24 00:00:00+00:00 0.000009 0.002539 0.000904 NaN \n", | |
| "2016-12-25 00:00:00+00:00 0.000008 0.002405 0.000863 NaN \n", | |
| "2016-12-26 00:00:00+00:00 0.000006 0.002567 0.000899 NaN \n", | |
| "2016-12-27 00:00:00+00:00 0.000009 0.002449 0.000923 NaN \n", | |
| "2016-12-28 00:00:00+00:00 0.000009 0.002811 0.000968 NaN \n", | |
| "2016-12-29 00:00:00+00:00 0.000009 0.002524 0.000972 NaN \n", | |
| "2016-12-30 00:00:00+00:00 0.000007 0.002366 0.000935 NaN \n", | |
| "2016-12-31 00:00:00+00:00 0.000008 0.002552 0.000953 NaN \n", | |
| "2017-01-01 00:00:00+00:00 0.000008 0.002415 0.000967 NaN \n", | |
| "2017-01-02 00:00:00+00:00 0.000007 0.002452 0.001022 NaN \n", | |
| "2017-01-03 00:00:00+00:00 0.000007 0.002417 0.001038 NaN \n", | |
| "2017-01-04 00:00:00+00:00 0.000006 0.002433 0.001078 NaN \n", | |
| "2017-01-05 00:00:00+00:00 0.000007 0.002361 0.001155 NaN \n", | |
| "\n", | |
| "[1349 rows x 465 columns]" | |
| ] | |
| }, | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "# how to grab prices\n", | |
| "df.xs('price',axis=1,level=1)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T11:49:50.626451", | |
| "start_time": "2017-02-22T11:49:50.608208" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 129, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-23T13:01:16.256806", | |
| "start_time": "2017-02-23T13:01:16.014853" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>007</th>\n", | |
| " <th>1CR</th>\n", | |
| " <th>8BIT</th>\n", | |
| " <th>ACCI</th>\n", | |
| " <th>ACOIN</th>\n", | |
| " <th>AC</th>\n", | |
| " <th>ADN</th>\n", | |
| " <th>ADZ</th>\n", | |
| " <th>AEON</th>\n", | |
| " <th>ALN</th>\n", | |
| " <th>...</th>\n", | |
| " <th>YOC</th>\n", | |
| " <th>YUM</th>\n", | |
| " <th>ZCC</th>\n", | |
| " <th>ZCL</th>\n", | |
| " <th>ZEC</th>\n", | |
| " <th>ZED</th>\n", | |
| " <th>ZEIT</th>\n", | |
| " <th>ZET</th>\n", | |
| " <th>ZRC</th>\n", | |
| " <th>ZS</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>2013-04-28 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-05 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-12 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-19 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-05-26 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-06-02 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-06-09 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-06-16 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-06-23 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-06-30 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-07-07 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-07-14 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-07-21 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-07-28 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-08-04 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-08-11 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-08-18 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-08-25 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-09-01 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-09-08 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-09-15 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>595.737494</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-09-22 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>554.294190</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-09-29 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>577.102554</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-10-06 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>572.203877</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-10-13 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>512.963044</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-10-20 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>353.476599</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-10-27 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>160.557185</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-11-03 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>324.901256</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-11-10 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>147.040527</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2013-11-17 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>145.221324</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>...</th>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-06-19 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>14.078903</td>\n", | |
| " <td>243.587741</td>\n", | |
| " <td>0</td>\n", | |
| " <td>8.775973</td>\n", | |
| " <td>867.351482</td>\n", | |
| " <td>57.943701</td>\n", | |
| " <td>65.226187</td>\n", | |
| " <td>121.380836</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>399.504497</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>841.351560</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>512.185085</td>\n", | |
| " <td>643.921810</td>\n", | |
| " <td>51.966382</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-06-26 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>13.247671</td>\n", | |
| " <td>27.986354</td>\n", | |
| " <td>0</td>\n", | |
| " <td>5.834674</td>\n", | |
| " <td>969.930533</td>\n", | |
| " <td>63.463712</td>\n", | |
| " <td>120.425568</td>\n", | |
| " <td>117.256451</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>586.238286</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>838.995540</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>351.384816</td>\n", | |
| " <td>659.437449</td>\n", | |
| " <td>50.911974</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-07-03 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>14.751584</td>\n", | |
| " <td>23.533310</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4.391950</td>\n", | |
| " <td>903.885564</td>\n", | |
| " <td>81.649640</td>\n", | |
| " <td>97.684784</td>\n", | |
| " <td>145.308556</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>1748.441399</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>910.650741</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>508.103288</td>\n", | |
| " <td>692.658320</td>\n", | |
| " <td>40.659262</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-07-10 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>20.751325</td>\n", | |
| " <td>21.638912</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4.813994</td>\n", | |
| " <td>966.474360</td>\n", | |
| " <td>106.413752</td>\n", | |
| " <td>74.135936</td>\n", | |
| " <td>191.174287</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>7934.432583</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>899.838587</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>672.235525</td>\n", | |
| " <td>685.994096</td>\n", | |
| " <td>45.839580</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-07-17 00:00:00+00:00</th>\n", | |
| " <td>75.771957</td>\n", | |
| " <td>28.399152</td>\n", | |
| " <td>18.514449</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4.252245</td>\n", | |
| " <td>909.787849</td>\n", | |
| " <td>101.434304</td>\n", | |
| " <td>77.659051</td>\n", | |
| " <td>261.594746</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>6190.879887</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>916.628309</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>683.530018</td>\n", | |
| " <td>890.029134</td>\n", | |
| " <td>49.099752</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-07-24 00:00:00+00:00</th>\n", | |
| " <td>814.378440</td>\n", | |
| " <td>38.373322</td>\n", | |
| " <td>17.352168</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4.738831</td>\n", | |
| " <td>1180.113285</td>\n", | |
| " <td>91.772980</td>\n", | |
| " <td>84.606336</td>\n", | |
| " <td>332.028609</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>5098.456552</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>853.362043</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>682.846364</td>\n", | |
| " <td>625.703004</td>\n", | |
| " <td>49.444692</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-07-31 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>36.198279</td>\n", | |
| " <td>23.546230</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4.692763</td>\n", | |
| " <td>1842.846060</td>\n", | |
| " <td>78.123657</td>\n", | |
| " <td>93.871922</td>\n", | |
| " <td>320.504328</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>4505.167519</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>807.026607</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>694.258039</td>\n", | |
| " <td>587.963994</td>\n", | |
| " <td>44.874740</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-08-07 00:00:00+00:00</th>\n", | |
| " <td>898.237021</td>\n", | |
| " <td>78.734104</td>\n", | |
| " <td>25.120780</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4.451210</td>\n", | |
| " <td>2273.947137</td>\n", | |
| " <td>80.183239</td>\n", | |
| " <td>356.563717</td>\n", | |
| " <td>348.331145</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>5963.118438</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>789.780750</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>679.573079</td>\n", | |
| " <td>612.769179</td>\n", | |
| " <td>30.003866</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-08-14 00:00:00+00:00</th>\n", | |
| " <td>1419.608577</td>\n", | |
| " <td>90.137285</td>\n", | |
| " <td>24.473716</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4.025028</td>\n", | |
| " <td>2094.254061</td>\n", | |
| " <td>76.423839</td>\n", | |
| " <td>999.614075</td>\n", | |
| " <td>397.594546</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>1909.649404</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>777.166150</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>646.368870</td>\n", | |
| " <td>594.070201</td>\n", | |
| " <td>28.025925</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-08-21 00:00:00+00:00</th>\n", | |
| " <td>916.498646</td>\n", | |
| " <td>94.803320</td>\n", | |
| " <td>21.649878</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3.186350</td>\n", | |
| " <td>1351.019937</td>\n", | |
| " <td>88.530504</td>\n", | |
| " <td>1019.210546</td>\n", | |
| " <td>455.763003</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.000000</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>772.814955</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>744.990162</td>\n", | |
| " <td>596.950314</td>\n", | |
| " <td>22.712655</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-08-28 00:00:00+00:00</th>\n", | |
| " <td>421.489169</td>\n", | |
| " <td>67.376080</td>\n", | |
| " <td>23.359676</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2.677643</td>\n", | |
| " <td>1212.766477</td>\n", | |
| " <td>43.790798</td>\n", | |
| " <td>1025.636348</td>\n", | |
| " <td>773.305630</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>4184.061184</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>743.859702</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>656.543500</td>\n", | |
| " <td>561.448159</td>\n", | |
| " <td>23.128557</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-09-04 00:00:00+00:00</th>\n", | |
| " <td>343.931970</td>\n", | |
| " <td>52.492596</td>\n", | |
| " <td>17.855436</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2.272654</td>\n", | |
| " <td>1243.056871</td>\n", | |
| " <td>41.792030</td>\n", | |
| " <td>1292.730694</td>\n", | |
| " <td>2843.161451</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>7091.694082</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>729.032787</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>669.628617</td>\n", | |
| " <td>572.773949</td>\n", | |
| " <td>24.723044</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-09-11 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>68.572789</td>\n", | |
| " <td>17.424670</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2.558645</td>\n", | |
| " <td>1189.274567</td>\n", | |
| " <td>30.723042</td>\n", | |
| " <td>1813.612440</td>\n", | |
| " <td>2291.129021</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>6317.777889</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>687.776043</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>665.447029</td>\n", | |
| " <td>494.268496</td>\n", | |
| " <td>27.930670</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-09-18 00:00:00+00:00</th>\n", | |
| " <td>331.876464</td>\n", | |
| " <td>92.057829</td>\n", | |
| " <td>17.831277</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2.645386</td>\n", | |
| " <td>896.277432</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1911.345160</td>\n", | |
| " <td>2199.775139</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>5448.494261</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>701.714368</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>652.411433</td>\n", | |
| " <td>527.861708</td>\n", | |
| " <td>33.157883</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-09-25 00:00:00+00:00</th>\n", | |
| " <td>331.106674</td>\n", | |
| " <td>119.867320</td>\n", | |
| " <td>14.959806</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2.313276</td>\n", | |
| " <td>820.351457</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1486.518472</td>\n", | |
| " <td>1909.814838</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>5166.710824</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>715.776485</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>656.583267</td>\n", | |
| " <td>525.340931</td>\n", | |
| " <td>27.637499</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-10-02 00:00:00+00:00</th>\n", | |
| " <td>509.680882</td>\n", | |
| " <td>277.898220</td>\n", | |
| " <td>13.603633</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2.664156</td>\n", | |
| " <td>945.392019</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1744.255556</td>\n", | |
| " <td>1409.122362</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>4401.342412</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>697.131085</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>613.523888</td>\n", | |
| " <td>549.345182</td>\n", | |
| " <td>20.328618</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-10-09 00:00:00+00:00</th>\n", | |
| " <td>329.640528</td>\n", | |
| " <td>410.420267</td>\n", | |
| " <td>13.692653</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2.589878</td>\n", | |
| " <td>309.884202</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1791.275129</td>\n", | |
| " <td>1067.120482</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>3450.141714</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>690.995378</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>648.342618</td>\n", | |
| " <td>542.480200</td>\n", | |
| " <td>19.336759</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-10-16 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>553.734485</td>\n", | |
| " <td>15.783133</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2.025857</td>\n", | |
| " <td>286.947986</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1488.145641</td>\n", | |
| " <td>1228.514233</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>3632.280324</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>657.553905</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>585.100681</td>\n", | |
| " <td>507.798604</td>\n", | |
| " <td>13.547775</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-10-23 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>493.368487</td>\n", | |
| " <td>16.257680</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3.730359</td>\n", | |
| " <td>497.359750</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>619.671191</td>\n", | |
| " <td>1213.285055</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>3340.267834</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>586.741174</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>555.165945</td>\n", | |
| " <td>546.022913</td>\n", | |
| " <td>12.322226</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-10-30 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>278.308650</td>\n", | |
| " <td>17.487518</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3.334505</td>\n", | |
| " <td>714.874331</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>708.124284</td>\n", | |
| " <td>1060.718933</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>2670.323852</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>530.198861</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1522.922280</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>658.752912</td>\n", | |
| " <td>575.000640</td>\n", | |
| " <td>13.479520</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-11-06 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>259.424643</td>\n", | |
| " <td>15.895674</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3.146185</td>\n", | |
| " <td>497.962230</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>829.134863</td>\n", | |
| " <td>803.209252</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>3168.523349</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>503.411957</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>5075.060270</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>666.502383</td>\n", | |
| " <td>646.861165</td>\n", | |
| " <td>14.694962</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-11-13 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>218.186557</td>\n", | |
| " <td>15.221333</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3.437922</td>\n", | |
| " <td>283.454219</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>745.278790</td>\n", | |
| " <td>731.192878</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>3014.607033</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>517.014027</td>\n", | |
| " <td>261.664159</td>\n", | |
| " <td>5490.292301</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>658.659152</td>\n", | |
| " <td>652.873211</td>\n", | |
| " <td>13.721831</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-11-20 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>144.559721</td>\n", | |
| " <td>15.097557</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3.294589</td>\n", | |
| " <td>825.998859</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>679.642531</td>\n", | |
| " <td>843.963340</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>2857.104725</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>539.292349</td>\n", | |
| " <td>418.269375</td>\n", | |
| " <td>5440.831356</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1838.814378</td>\n", | |
| " <td>612.631038</td>\n", | |
| " <td>11.840524</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-11-27 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>141.465629</td>\n", | |
| " <td>14.124680</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3.178967</td>\n", | |
| " <td>1216.690391</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>772.668745</td>\n", | |
| " <td>751.223718</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>2219.663997</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>516.781075</td>\n", | |
| " <td>289.839877</td>\n", | |
| " <td>8295.244764</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>703.691672</td>\n", | |
| " <td>574.451709</td>\n", | |
| " <td>11.642128</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-04 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>187.147695</td>\n", | |
| " <td>14.100892</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3.367182</td>\n", | |
| " <td>667.448563</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1149.729997</td>\n", | |
| " <td>795.544257</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>1920.544068</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>461.169867</td>\n", | |
| " <td>185.630657</td>\n", | |
| " <td>10707.510249</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>570.170029</td>\n", | |
| " <td>524.802255</td>\n", | |
| " <td>16.875635</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-11 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>177.979224</td>\n", | |
| " <td>11.298194</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3.459697</td>\n", | |
| " <td>644.326745</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>959.329814</td>\n", | |
| " <td>1093.674422</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>1639.782531</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>444.309701</td>\n", | |
| " <td>129.294316</td>\n", | |
| " <td>12054.923318</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>276.640093</td>\n", | |
| " <td>523.142424</td>\n", | |
| " <td>15.959830</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-18 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>174.103611</td>\n", | |
| " <td>11.983676</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4.233000</td>\n", | |
| " <td>603.933331</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1757.828349</td>\n", | |
| " <td>875.523601</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>1548.016069</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>442.918227</td>\n", | |
| " <td>158.720342</td>\n", | |
| " <td>12150.267097</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>354.859172</td>\n", | |
| " <td>527.543978</td>\n", | |
| " <td>13.141171</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-25 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>46.232397</td>\n", | |
| " <td>10.922023</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3.851069</td>\n", | |
| " <td>482.821751</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1558.207940</td>\n", | |
| " <td>884.350347</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>1662.703273</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>429.727445</td>\n", | |
| " <td>178.274954</td>\n", | |
| " <td>14157.003807</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>295.473593</td>\n", | |
| " <td>477.371002</td>\n", | |
| " <td>12.908950</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-01 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>27.515531</td>\n", | |
| " <td>9.106018</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3.675418</td>\n", | |
| " <td>347.458746</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>805.371767</td>\n", | |
| " <td>1302.830122</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>2102.938074</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>398.751735</td>\n", | |
| " <td>154.890743</td>\n", | |
| " <td>16653.472472</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>303.423830</td>\n", | |
| " <td>440.519287</td>\n", | |
| " <td>12.735803</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-08 00:00:00+00:00</th>\n", | |
| " <td>NaN</td>\n", | |
| " <td>16.293413</td>\n", | |
| " <td>8.063452</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3.230231</td>\n", | |
| " <td>295.361553</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>651.797919</td>\n", | |
| " <td>1708.251199</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>1746.548968</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>361.937629</td>\n", | |
| " <td>158.708788</td>\n", | |
| " <td>17801.993235</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>221.630407</td>\n", | |
| " <td>370.149440</td>\n", | |
| " <td>12.707769</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>194 rows × 465 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " 007 1CR 8BIT ACCI \\\n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-06-02 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-06-09 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-06-16 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-06-23 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-06-30 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-07-07 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-07-14 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-07-21 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-07-28 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-08-04 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-08-11 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-08-18 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-08-25 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-09-01 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-09-08 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-09-15 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-09-22 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-09-29 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-10-06 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-10-13 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-10-20 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-10-27 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-11-03 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-11-10 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-11-17 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "... ... ... ... ... \n", | |
| "2016-06-19 00:00:00+00:00 NaN 14.078903 243.587741 0 \n", | |
| "2016-06-26 00:00:00+00:00 NaN 13.247671 27.986354 0 \n", | |
| "2016-07-03 00:00:00+00:00 NaN 14.751584 23.533310 0 \n", | |
| "2016-07-10 00:00:00+00:00 NaN 20.751325 21.638912 0 \n", | |
| "2016-07-17 00:00:00+00:00 75.771957 28.399152 18.514449 0 \n", | |
| "2016-07-24 00:00:00+00:00 814.378440 38.373322 17.352168 0 \n", | |
| "2016-07-31 00:00:00+00:00 NaN 36.198279 23.546230 0 \n", | |
| "2016-08-07 00:00:00+00:00 898.237021 78.734104 25.120780 0 \n", | |
| "2016-08-14 00:00:00+00:00 1419.608577 90.137285 24.473716 0 \n", | |
| "2016-08-21 00:00:00+00:00 916.498646 94.803320 21.649878 0 \n", | |
| "2016-08-28 00:00:00+00:00 421.489169 67.376080 23.359676 0 \n", | |
| "2016-09-04 00:00:00+00:00 343.931970 52.492596 17.855436 0 \n", | |
| "2016-09-11 00:00:00+00:00 NaN 68.572789 17.424670 0 \n", | |
| "2016-09-18 00:00:00+00:00 331.876464 92.057829 17.831277 0 \n", | |
| "2016-09-25 00:00:00+00:00 331.106674 119.867320 14.959806 0 \n", | |
| "2016-10-02 00:00:00+00:00 509.680882 277.898220 13.603633 0 \n", | |
| "2016-10-09 00:00:00+00:00 329.640528 410.420267 13.692653 0 \n", | |
| "2016-10-16 00:00:00+00:00 NaN 553.734485 15.783133 0 \n", | |
| "2016-10-23 00:00:00+00:00 NaN 493.368487 16.257680 0 \n", | |
| "2016-10-30 00:00:00+00:00 NaN 278.308650 17.487518 0 \n", | |
| "2016-11-06 00:00:00+00:00 NaN 259.424643 15.895674 0 \n", | |
| "2016-11-13 00:00:00+00:00 NaN 218.186557 15.221333 0 \n", | |
| "2016-11-20 00:00:00+00:00 NaN 144.559721 15.097557 0 \n", | |
| "2016-11-27 00:00:00+00:00 NaN 141.465629 14.124680 0 \n", | |
| "2016-12-04 00:00:00+00:00 NaN 187.147695 14.100892 0 \n", | |
| "2016-12-11 00:00:00+00:00 NaN 177.979224 11.298194 0 \n", | |
| "2016-12-18 00:00:00+00:00 NaN 174.103611 11.983676 0 \n", | |
| "2016-12-25 00:00:00+00:00 NaN 46.232397 10.922023 0 \n", | |
| "2017-01-01 00:00:00+00:00 NaN 27.515531 9.106018 0 \n", | |
| "2017-01-08 00:00:00+00:00 NaN 16.293413 8.063452 0 \n", | |
| "\n", | |
| " ACOIN AC ADN ADZ \\\n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-06-02 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-06-09 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-06-16 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-06-23 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-06-30 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-07-07 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-07-14 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-07-21 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-07-28 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-08-04 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-08-11 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-08-18 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-08-25 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-09-01 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-09-08 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-09-15 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-09-22 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-09-29 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-10-06 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-10-13 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-10-20 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-10-27 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-11-03 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-11-10 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-11-17 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "... ... ... ... ... \n", | |
| "2016-06-19 00:00:00+00:00 8.775973 867.351482 57.943701 65.226187 \n", | |
| "2016-06-26 00:00:00+00:00 5.834674 969.930533 63.463712 120.425568 \n", | |
| "2016-07-03 00:00:00+00:00 4.391950 903.885564 81.649640 97.684784 \n", | |
| "2016-07-10 00:00:00+00:00 4.813994 966.474360 106.413752 74.135936 \n", | |
| "2016-07-17 00:00:00+00:00 4.252245 909.787849 101.434304 77.659051 \n", | |
| "2016-07-24 00:00:00+00:00 4.738831 1180.113285 91.772980 84.606336 \n", | |
| "2016-07-31 00:00:00+00:00 4.692763 1842.846060 78.123657 93.871922 \n", | |
| "2016-08-07 00:00:00+00:00 4.451210 2273.947137 80.183239 356.563717 \n", | |
| "2016-08-14 00:00:00+00:00 4.025028 2094.254061 76.423839 999.614075 \n", | |
| "2016-08-21 00:00:00+00:00 3.186350 1351.019937 88.530504 1019.210546 \n", | |
| "2016-08-28 00:00:00+00:00 2.677643 1212.766477 43.790798 1025.636348 \n", | |
| "2016-09-04 00:00:00+00:00 2.272654 1243.056871 41.792030 1292.730694 \n", | |
| "2016-09-11 00:00:00+00:00 2.558645 1189.274567 30.723042 1813.612440 \n", | |
| "2016-09-18 00:00:00+00:00 2.645386 896.277432 NaN 1911.345160 \n", | |
| "2016-09-25 00:00:00+00:00 2.313276 820.351457 NaN 1486.518472 \n", | |
| "2016-10-02 00:00:00+00:00 2.664156 945.392019 NaN 1744.255556 \n", | |
| "2016-10-09 00:00:00+00:00 2.589878 309.884202 NaN 1791.275129 \n", | |
| "2016-10-16 00:00:00+00:00 2.025857 286.947986 NaN 1488.145641 \n", | |
| "2016-10-23 00:00:00+00:00 3.730359 497.359750 NaN 619.671191 \n", | |
| "2016-10-30 00:00:00+00:00 3.334505 714.874331 NaN 708.124284 \n", | |
| "2016-11-06 00:00:00+00:00 3.146185 497.962230 NaN 829.134863 \n", | |
| "2016-11-13 00:00:00+00:00 3.437922 283.454219 NaN 745.278790 \n", | |
| "2016-11-20 00:00:00+00:00 3.294589 825.998859 NaN 679.642531 \n", | |
| "2016-11-27 00:00:00+00:00 3.178967 1216.690391 NaN 772.668745 \n", | |
| "2016-12-04 00:00:00+00:00 3.367182 667.448563 NaN 1149.729997 \n", | |
| "2016-12-11 00:00:00+00:00 3.459697 644.326745 NaN 959.329814 \n", | |
| "2016-12-18 00:00:00+00:00 4.233000 603.933331 NaN 1757.828349 \n", | |
| "2016-12-25 00:00:00+00:00 3.851069 482.821751 NaN 1558.207940 \n", | |
| "2017-01-01 00:00:00+00:00 3.675418 347.458746 NaN 805.371767 \n", | |
| "2017-01-08 00:00:00+00:00 3.230231 295.361553 NaN 651.797919 \n", | |
| "\n", | |
| " AEON ALN ... YOC YUM ZCC \\\n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-06-02 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-06-09 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-06-16 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-06-23 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-06-30 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-07-07 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-07-14 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-07-21 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-07-28 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-08-04 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-08-11 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-08-18 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-08-25 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-09-01 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-09-08 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-09-15 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-09-22 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-09-29 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-10-06 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-10-13 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-10-20 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-10-27 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-11-03 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-11-10 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "2013-11-17 00:00:00+00:00 NaN NaN ... NaN NaN NaN \n", | |
| "... ... ... ... ... ... ... \n", | |
| "2016-06-19 00:00:00+00:00 121.380836 NaN ... 399.504497 NaN 841.351560 \n", | |
| "2016-06-26 00:00:00+00:00 117.256451 NaN ... 586.238286 NaN 838.995540 \n", | |
| "2016-07-03 00:00:00+00:00 145.308556 NaN ... 1748.441399 NaN 910.650741 \n", | |
| "2016-07-10 00:00:00+00:00 191.174287 NaN ... 7934.432583 NaN 899.838587 \n", | |
| "2016-07-17 00:00:00+00:00 261.594746 NaN ... 6190.879887 NaN 916.628309 \n", | |
| "2016-07-24 00:00:00+00:00 332.028609 NaN ... 5098.456552 NaN 853.362043 \n", | |
| "2016-07-31 00:00:00+00:00 320.504328 NaN ... 4505.167519 NaN 807.026607 \n", | |
| "2016-08-07 00:00:00+00:00 348.331145 NaN ... 5963.118438 NaN 789.780750 \n", | |
| "2016-08-14 00:00:00+00:00 397.594546 NaN ... 1909.649404 NaN 777.166150 \n", | |
| "2016-08-21 00:00:00+00:00 455.763003 NaN ... 0.000000 NaN 772.814955 \n", | |
| "2016-08-28 00:00:00+00:00 773.305630 NaN ... 4184.061184 NaN 743.859702 \n", | |
| "2016-09-04 00:00:00+00:00 2843.161451 NaN ... 7091.694082 NaN 729.032787 \n", | |
| "2016-09-11 00:00:00+00:00 2291.129021 NaN ... 6317.777889 NaN 687.776043 \n", | |
| "2016-09-18 00:00:00+00:00 2199.775139 NaN ... 5448.494261 NaN 701.714368 \n", | |
| "2016-09-25 00:00:00+00:00 1909.814838 NaN ... 5166.710824 NaN 715.776485 \n", | |
| "2016-10-02 00:00:00+00:00 1409.122362 NaN ... 4401.342412 NaN 697.131085 \n", | |
| "2016-10-09 00:00:00+00:00 1067.120482 NaN ... 3450.141714 NaN 690.995378 \n", | |
| "2016-10-16 00:00:00+00:00 1228.514233 NaN ... 3632.280324 NaN 657.553905 \n", | |
| "2016-10-23 00:00:00+00:00 1213.285055 NaN ... 3340.267834 NaN 586.741174 \n", | |
| "2016-10-30 00:00:00+00:00 1060.718933 NaN ... 2670.323852 NaN 530.198861 \n", | |
| "2016-11-06 00:00:00+00:00 803.209252 NaN ... 3168.523349 NaN 503.411957 \n", | |
| "2016-11-13 00:00:00+00:00 731.192878 NaN ... 3014.607033 NaN 517.014027 \n", | |
| "2016-11-20 00:00:00+00:00 843.963340 NaN ... 2857.104725 NaN 539.292349 \n", | |
| "2016-11-27 00:00:00+00:00 751.223718 NaN ... 2219.663997 NaN 516.781075 \n", | |
| "2016-12-04 00:00:00+00:00 795.544257 NaN ... 1920.544068 NaN 461.169867 \n", | |
| "2016-12-11 00:00:00+00:00 1093.674422 NaN ... 1639.782531 NaN 444.309701 \n", | |
| "2016-12-18 00:00:00+00:00 875.523601 NaN ... 1548.016069 NaN 442.918227 \n", | |
| "2016-12-25 00:00:00+00:00 884.350347 NaN ... 1662.703273 NaN 429.727445 \n", | |
| "2017-01-01 00:00:00+00:00 1302.830122 NaN ... 2102.938074 NaN 398.751735 \n", | |
| "2017-01-08 00:00:00+00:00 1708.251199 NaN ... 1746.548968 NaN 361.937629 \n", | |
| "\n", | |
| " ZCL ZEC ZED ZEIT \\\n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-06-02 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-06-09 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-06-16 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-06-23 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-06-30 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-07-07 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-07-14 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-07-21 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-07-28 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-08-04 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-08-11 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-08-18 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-08-25 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-09-01 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-09-08 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-09-15 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-09-22 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-09-29 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-10-06 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-10-13 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-10-20 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-10-27 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-11-03 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-11-10 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "2013-11-17 00:00:00+00:00 NaN NaN NaN NaN \n", | |
| "... ... ... ... ... \n", | |
| "2016-06-19 00:00:00+00:00 NaN NaN NaN 512.185085 \n", | |
| "2016-06-26 00:00:00+00:00 NaN NaN NaN 351.384816 \n", | |
| "2016-07-03 00:00:00+00:00 NaN NaN NaN 508.103288 \n", | |
| "2016-07-10 00:00:00+00:00 NaN NaN NaN 672.235525 \n", | |
| "2016-07-17 00:00:00+00:00 NaN NaN NaN 683.530018 \n", | |
| "2016-07-24 00:00:00+00:00 NaN NaN NaN 682.846364 \n", | |
| "2016-07-31 00:00:00+00:00 NaN NaN NaN 694.258039 \n", | |
| "2016-08-07 00:00:00+00:00 NaN NaN NaN 679.573079 \n", | |
| "2016-08-14 00:00:00+00:00 NaN NaN NaN 646.368870 \n", | |
| "2016-08-21 00:00:00+00:00 NaN NaN NaN 744.990162 \n", | |
| "2016-08-28 00:00:00+00:00 NaN NaN NaN 656.543500 \n", | |
| "2016-09-04 00:00:00+00:00 NaN NaN NaN 669.628617 \n", | |
| "2016-09-11 00:00:00+00:00 NaN NaN NaN 665.447029 \n", | |
| "2016-09-18 00:00:00+00:00 NaN NaN NaN 652.411433 \n", | |
| "2016-09-25 00:00:00+00:00 NaN NaN NaN 656.583267 \n", | |
| "2016-10-02 00:00:00+00:00 NaN NaN NaN 613.523888 \n", | |
| "2016-10-09 00:00:00+00:00 NaN NaN NaN 648.342618 \n", | |
| "2016-10-16 00:00:00+00:00 NaN NaN NaN 585.100681 \n", | |
| "2016-10-23 00:00:00+00:00 NaN NaN NaN 555.165945 \n", | |
| "2016-10-30 00:00:00+00:00 NaN 1522.922280 NaN 658.752912 \n", | |
| "2016-11-06 00:00:00+00:00 NaN 5075.060270 NaN 666.502383 \n", | |
| "2016-11-13 00:00:00+00:00 261.664159 5490.292301 NaN 658.659152 \n", | |
| "2016-11-20 00:00:00+00:00 418.269375 5440.831356 NaN 1838.814378 \n", | |
| "2016-11-27 00:00:00+00:00 289.839877 8295.244764 NaN 703.691672 \n", | |
| "2016-12-04 00:00:00+00:00 185.630657 10707.510249 NaN 570.170029 \n", | |
| "2016-12-11 00:00:00+00:00 129.294316 12054.923318 NaN 276.640093 \n", | |
| "2016-12-18 00:00:00+00:00 158.720342 12150.267097 NaN 354.859172 \n", | |
| "2016-12-25 00:00:00+00:00 178.274954 14157.003807 NaN 295.473593 \n", | |
| "2017-01-01 00:00:00+00:00 154.890743 16653.472472 NaN 303.423830 \n", | |
| "2017-01-08 00:00:00+00:00 158.708788 17801.993235 NaN 221.630407 \n", | |
| "\n", | |
| " ZET ZRC ZS \n", | |
| "2013-04-28 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-05 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-12 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-19 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-05-26 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-06-02 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-06-09 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-06-16 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-06-23 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-06-30 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-07-07 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-07-14 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-07-21 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-07-28 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-08-04 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-08-11 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-08-18 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-08-25 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-09-01 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-09-08 00:00:00+00:00 NaN NaN NaN \n", | |
| "2013-09-15 00:00:00+00:00 595.737494 NaN NaN \n", | |
| "2013-09-22 00:00:00+00:00 554.294190 NaN NaN \n", | |
| "2013-09-29 00:00:00+00:00 577.102554 NaN NaN \n", | |
| "2013-10-06 00:00:00+00:00 572.203877 NaN NaN \n", | |
| "2013-10-13 00:00:00+00:00 512.963044 NaN NaN \n", | |
| "2013-10-20 00:00:00+00:00 353.476599 NaN NaN \n", | |
| "2013-10-27 00:00:00+00:00 160.557185 NaN NaN \n", | |
| "2013-11-03 00:00:00+00:00 324.901256 NaN NaN \n", | |
| "2013-11-10 00:00:00+00:00 147.040527 NaN NaN \n", | |
| "2013-11-17 00:00:00+00:00 145.221324 NaN NaN \n", | |
| "... ... ... .. \n", | |
| "2016-06-19 00:00:00+00:00 643.921810 51.966382 NaN \n", | |
| "2016-06-26 00:00:00+00:00 659.437449 50.911974 NaN \n", | |
| "2016-07-03 00:00:00+00:00 692.658320 40.659262 NaN \n", | |
| "2016-07-10 00:00:00+00:00 685.994096 45.839580 NaN \n", | |
| "2016-07-17 00:00:00+00:00 890.029134 49.099752 NaN \n", | |
| "2016-07-24 00:00:00+00:00 625.703004 49.444692 NaN \n", | |
| "2016-07-31 00:00:00+00:00 587.963994 44.874740 NaN \n", | |
| "2016-08-07 00:00:00+00:00 612.769179 30.003866 NaN \n", | |
| "2016-08-14 00:00:00+00:00 594.070201 28.025925 NaN \n", | |
| "2016-08-21 00:00:00+00:00 596.950314 22.712655 NaN \n", | |
| "2016-08-28 00:00:00+00:00 561.448159 23.128557 NaN \n", | |
| "2016-09-04 00:00:00+00:00 572.773949 24.723044 NaN \n", | |
| "2016-09-11 00:00:00+00:00 494.268496 27.930670 NaN \n", | |
| "2016-09-18 00:00:00+00:00 527.861708 33.157883 NaN \n", | |
| "2016-09-25 00:00:00+00:00 525.340931 27.637499 NaN \n", | |
| "2016-10-02 00:00:00+00:00 549.345182 20.328618 NaN \n", | |
| "2016-10-09 00:00:00+00:00 542.480200 19.336759 NaN \n", | |
| "2016-10-16 00:00:00+00:00 507.798604 13.547775 NaN \n", | |
| "2016-10-23 00:00:00+00:00 546.022913 12.322226 NaN \n", | |
| "2016-10-30 00:00:00+00:00 575.000640 13.479520 NaN \n", | |
| "2016-11-06 00:00:00+00:00 646.861165 14.694962 NaN \n", | |
| "2016-11-13 00:00:00+00:00 652.873211 13.721831 NaN \n", | |
| "2016-11-20 00:00:00+00:00 612.631038 11.840524 NaN \n", | |
| "2016-11-27 00:00:00+00:00 574.451709 11.642128 NaN \n", | |
| "2016-12-04 00:00:00+00:00 524.802255 16.875635 NaN \n", | |
| "2016-12-11 00:00:00+00:00 523.142424 15.959830 NaN \n", | |
| "2016-12-18 00:00:00+00:00 527.543978 13.141171 NaN \n", | |
| "2016-12-25 00:00:00+00:00 477.371002 12.908950 NaN \n", | |
| "2017-01-01 00:00:00+00:00 440.519287 12.735803 NaN \n", | |
| "2017-01-08 00:00:00+00:00 370.149440 12.707769 NaN \n", | |
| "\n", | |
| "[194 rows x 465 columns]" | |
| ] | |
| }, | |
| "execution_count": 129, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-23T13:03:28.716412", | |
| "start_time": "2017-02-23T13:03:27.992492" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-23T10:23:39.322216", | |
| "start_time": "2017-02-23T10:23:39.308300" | |
| }, | |
| "collapsed": false, | |
| "scrolled": true | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "['LTC', 'BTS', 'XMR', 'STEEM', 'AUR', 'XRP', 'DAO', 'ETC', 'ETH']" | |
| ] | |
| }, | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "choices=set(np.isnan(market_cap).sum(0).sort_values()[:10].index)\n", | |
| "choices.remove('BTC')\n", | |
| "choices = list(choices)\n", | |
| "\n", | |
| "choices = set(market_cap.max().sort_values(ascending=False)[:10].index)\n", | |
| "choices.remove('BTC')\n", | |
| "choices = list(choices)\n", | |
| "\n", | |
| "choices " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-23T10:23:41.908705", | |
| "start_time": "2017-02-23T10:23:40.243935" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.axes._subplots.AxesSubplot at 0x7fa872b895f8>" | |
| ] | |
| }, | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAloAAAJgCAYAAABSus0hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nK3IAAAAASUVORK5CYII=\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7fa872b88dd8>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "df.xs('market_cap',axis=1,level=1)[choices].resample('W').plot()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# analysis" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-01-06T09:27:30.132080", | |
| "start_time": "2017-01-06T09:27:29.452143" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 47, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T13:08:00.484188", | |
| "start_time": "2017-02-22T13:07:59.420669" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>count</th>\n", | |
| " <th>mean</th>\n", | |
| " <th>std</th>\n", | |
| " <th>min</th>\n", | |
| " <th>25%</th>\n", | |
| " <th>50%</th>\n", | |
| " <th>75%</th>\n", | |
| " <th>max</th>\n", | |
| " <th>volitility</th>\n", | |
| " <th>age</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>BTC</th>\n", | |
| " <td>1334</td>\n", | |
| " <td>5.938531e+09</td>\n", | |
| " <td>3.206256e+09</td>\n", | |
| " <td>771368060</td>\n", | |
| " <td>3.440007e+09</td>\n", | |
| " <td>5.719755e+09</td>\n", | |
| " <td>8.060826e+09</td>\n", | |
| " <td>18644431654</td>\n", | |
| " <td>0.043957</td>\n", | |
| " <td>1348 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ETH</th>\n", | |
| " <td>517</td>\n", | |
| " <td>5.936327e+08</td>\n", | |
| " <td>4.184720e+08</td>\n", | |
| " <td>0</td>\n", | |
| " <td>8.276129e+07</td>\n", | |
| " <td>7.219974e+08</td>\n", | |
| " <td>9.555388e+08</td>\n", | |
| " <td>1574168166</td>\n", | |
| " <td>0.099270</td>\n", | |
| " <td>517 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>LTC</th>\n", | |
| " <td>1336</td>\n", | |
| " <td>1.794747e+08</td>\n", | |
| " <td>1.400076e+08</td>\n", | |
| " <td>38286159</td>\n", | |
| " <td>7.350833e+07</td>\n", | |
| " <td>1.506176e+08</td>\n", | |
| " <td>1.919207e+08</td>\n", | |
| " <td>1177317283</td>\n", | |
| " <td>0.060758</td>\n", | |
| " <td>1348 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>XRP</th>\n", | |
| " <td>1233</td>\n", | |
| " <td>2.102583e+08</td>\n", | |
| " <td>1.311619e+08</td>\n", | |
| " <td>22647332</td>\n", | |
| " <td>1.353018e+08</td>\n", | |
| " <td>2.126757e+08</td>\n", | |
| " <td>2.654766e+08</td>\n", | |
| " <td>857164657</td>\n", | |
| " <td>0.063426</td>\n", | |
| " <td>1250 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>STEEM</th>\n", | |
| " <td>263</td>\n", | |
| " <td>7.137737e+07</td>\n", | |
| " <td>8.223250e+07</td>\n", | |
| " <td>2607835</td>\n", | |
| " <td>1.826474e+07</td>\n", | |
| " <td>3.683752e+07</td>\n", | |
| " <td>8.435092e+07</td>\n", | |
| " <td>384523624</td>\n", | |
| " <td>0.133776</td>\n", | |
| " <td>262 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>DAO</th>\n", | |
| " <td>223</td>\n", | |
| " <td>3.258828e+07</td>\n", | |
| " <td>5.893465e+07</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>220132242</td>\n", | |
| " <td>0.097652</td>\n", | |
| " <td>234 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>AUR</th>\n", | |
| " <td>1032</td>\n", | |
| " <td>7.157222e+06</td>\n", | |
| " <td>4.679646e+07</td>\n", | |
| " <td>29532</td>\n", | |
| " <td>1.113818e+05</td>\n", | |
| " <td>3.164355e+05</td>\n", | |
| " <td>1.198089e+06</td>\n", | |
| " <td>1026360933</td>\n", | |
| " <td>0.130050</td>\n", | |
| " <td>1043 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>XMR</th>\n", | |
| " <td>948</td>\n", | |
| " <td>2.202848e+07</td>\n", | |
| " <td>3.965072e+07</td>\n", | |
| " <td>1221459</td>\n", | |
| " <td>3.937612e+06</td>\n", | |
| " <td>5.187013e+06</td>\n", | |
| " <td>1.311592e+07</td>\n", | |
| " <td>253482045</td>\n", | |
| " <td>0.079321</td>\n", | |
| " <td>960 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ETC</th>\n", | |
| " <td>166</td>\n", | |
| " <td>1.056877e+08</td>\n", | |
| " <td>3.517067e+07</td>\n", | |
| " <td>0</td>\n", | |
| " <td>7.939854e+07</td>\n", | |
| " <td>9.950399e+07</td>\n", | |
| " <td>1.216644e+08</td>\n", | |
| " <td>240759636</td>\n", | |
| " <td>0.084335</td>\n", | |
| " <td>165 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>PPC</th>\n", | |
| " <td>1326</td>\n", | |
| " <td>1.981177e+07</td>\n", | |
| " <td>2.673931e+07</td>\n", | |
| " <td>2052718</td>\n", | |
| " <td>7.189065e+06</td>\n", | |
| " <td>9.423864e+06</td>\n", | |
| " <td>1.702938e+07</td>\n", | |
| " <td>157368010</td>\n", | |
| " <td>0.069038</td>\n", | |
| " <td>1348 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>REP</th>\n", | |
| " <td>324</td>\n", | |
| " <td>1.387439e+07</td>\n", | |
| " <td>2.310442e+07</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>3.344982e+07</td>\n", | |
| " <td>109947089</td>\n", | |
| " <td>0.128455</td>\n", | |
| " <td>436 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>DASH</th>\n", | |
| " <td>1043</td>\n", | |
| " <td>2.931284e+07</td>\n", | |
| " <td>2.308894e+07</td>\n", | |
| " <td>702537</td>\n", | |
| " <td>1.342470e+07</td>\n", | |
| " <td>1.762291e+07</td>\n", | |
| " <td>4.476944e+07</td>\n", | |
| " <td>113121036</td>\n", | |
| " <td>0.108735</td>\n", | |
| " <td>1056 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>XEM</th>\n", | |
| " <td>645</td>\n", | |
| " <td>1.793508e+07</td>\n", | |
| " <td>2.209438e+07</td>\n", | |
| " <td>765012</td>\n", | |
| " <td>1.353230e+06</td>\n", | |
| " <td>5.557067e+06</td>\n", | |
| " <td>3.327705e+07</td>\n", | |
| " <td>110157299</td>\n", | |
| " <td>0.081810</td>\n", | |
| " <td>645 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>OMNI</th>\n", | |
| " <td>1057</td>\n", | |
| " <td>7.865851e+06</td>\n", | |
| " <td>1.760173e+07</td>\n", | |
| " <td>385485</td>\n", | |
| " <td>1.176758e+06</td>\n", | |
| " <td>1.582457e+06</td>\n", | |
| " <td>2.583471e+06</td>\n", | |
| " <td>116200444</td>\n", | |
| " <td>0.139213</td>\n", | |
| " <td>1108 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>NXT</th>\n", | |
| " <td>1113</td>\n", | |
| " <td>1.966888e+07</td>\n", | |
| " <td>1.659026e+07</td>\n", | |
| " <td>2323130</td>\n", | |
| " <td>7.887757e+06</td>\n", | |
| " <td>1.225206e+07</td>\n", | |
| " <td>2.616591e+07</td>\n", | |
| " <td>93055415</td>\n", | |
| " <td>0.082512</td>\n", | |
| " <td>1128 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>BTS</th>\n", | |
| " <td>895</td>\n", | |
| " <td>1.894088e+07</td>\n", | |
| " <td>1.482308e+07</td>\n", | |
| " <td>7554456</td>\n", | |
| " <td>1.016428e+07</td>\n", | |
| " <td>1.273195e+07</td>\n", | |
| " <td>1.978953e+07</td>\n", | |
| " <td>86084678</td>\n", | |
| " <td>0.062186</td>\n", | |
| " <td>899 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAID</th>\n", | |
| " <td>973</td>\n", | |
| " <td>1.886467e+07</td>\n", | |
| " <td>1.321598e+07</td>\n", | |
| " <td>5026499</td>\n", | |
| " <td>8.558807e+06</td>\n", | |
| " <td>1.196870e+07</td>\n", | |
| " <td>3.085023e+07</td>\n", | |
| " <td>54457894</td>\n", | |
| " <td>0.069719</td>\n", | |
| " <td>983 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>LSK</th>\n", | |
| " <td>274</td>\n", | |
| " <td>2.029708e+07</td>\n", | |
| " <td>1.220979e+07</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1.459858e+07</td>\n", | |
| " <td>2.172435e+07</td>\n", | |
| " <td>2.795097e+07</td>\n", | |
| " <td>50095000</td>\n", | |
| " <td>0.350217</td>\n", | |
| " <td>274 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>DOGE</th>\n", | |
| " <td>1104</td>\n", | |
| " <td>2.279368e+07</td>\n", | |
| " <td>1.162222e+07</td>\n", | |
| " <td>1619159</td>\n", | |
| " <td>1.423230e+07</td>\n", | |
| " <td>2.241242e+07</td>\n", | |
| " <td>2.535151e+07</td>\n", | |
| " <td>91985567</td>\n", | |
| " <td>0.077914</td>\n", | |
| " <td>1117 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>NMC</th>\n", | |
| " <td>1336</td>\n", | |
| " <td>9.868520e+06</td>\n", | |
| " <td>1.111715e+07</td>\n", | |
| " <td>1943616</td>\n", | |
| " <td>4.358208e+06</td>\n", | |
| " <td>5.574502e+06</td>\n", | |
| " <td>9.560784e+06</td>\n", | |
| " <td>97214979</td>\n", | |
| " <td>0.076186</td>\n", | |
| " <td>1348 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ICN</th>\n", | |
| " <td>98</td>\n", | |
| " <td>1.330578e+07</td>\n", | |
| " <td>1.015403e+07</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2.291798e+06</td>\n", | |
| " <td>1.469286e+07</td>\n", | |
| " <td>1.839134e+07</td>\n", | |
| " <td>57311772</td>\n", | |
| " <td>0.362910</td>\n", | |
| " <td>97 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WAVES</th>\n", | |
| " <td>218</td>\n", | |
| " <td>2.004726e+07</td>\n", | |
| " <td>8.413760e+06</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1.703030e+07</td>\n", | |
| " <td>1.982825e+07</td>\n", | |
| " <td>2.359282e+07</td>\n", | |
| " <td>39532700</td>\n", | |
| " <td>0.548469</td>\n", | |
| " <td>217 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>FCT</th>\n", | |
| " <td>458</td>\n", | |
| " <td>1.296918e+07</td>\n", | |
| " <td>8.232188e+06</td>\n", | |
| " <td>0</td>\n", | |
| " <td>8.139414e+06</td>\n", | |
| " <td>1.190840e+07</td>\n", | |
| " <td>1.963931e+07</td>\n", | |
| " <td>33422766</td>\n", | |
| " <td>0.096021</td>\n", | |
| " <td>457 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>QRK</th>\n", | |
| " <td>1206</td>\n", | |
| " <td>3.024214e+06</td>\n", | |
| " <td>6.512519e+06</td>\n", | |
| " <td>22864</td>\n", | |
| " <td>5.801790e+05</td>\n", | |
| " <td>1.048916e+06</td>\n", | |
| " <td>1.692836e+06</td>\n", | |
| " <td>60645764</td>\n", | |
| " <td>0.099295</td>\n", | |
| " <td>1229 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>BAT</th>\n", | |
| " <td>801</td>\n", | |
| " <td>2.436727e+05</td>\n", | |
| " <td>6.379529e+06</td>\n", | |
| " <td>244</td>\n", | |
| " <td>7.380000e+02</td>\n", | |
| " <td>1.373000e+03</td>\n", | |
| " <td>2.927000e+03</td>\n", | |
| " <td>180205011</td>\n", | |
| " <td>98.167431</td>\n", | |
| " <td>1002 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>DGD</th>\n", | |
| " <td>263</td>\n", | |
| " <td>1.994130e+07</td>\n", | |
| " <td>6.171814e+06</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1.841691e+07</td>\n", | |
| " <td>2.018520e+07</td>\n", | |
| " <td>2.211790e+07</td>\n", | |
| " <td>39497800</td>\n", | |
| " <td>0.195865</td>\n", | |
| " <td>262 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>AMP</th>\n", | |
| " <td>388</td>\n", | |
| " <td>8.681692e+06</td>\n", | |
| " <td>6.112485e+06</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3.666588e+06</td>\n", | |
| " <td>7.496560e+06</td>\n", | |
| " <td>1.110370e+07</td>\n", | |
| " <td>33744295</td>\n", | |
| " <td>0.132091</td>\n", | |
| " <td>398 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>EMC</th>\n", | |
| " <td>799</td>\n", | |
| " <td>5.191719e+06</td>\n", | |
| " <td>5.825402e+06</td>\n", | |
| " <td>49158</td>\n", | |
| " <td>3.658285e+05</td>\n", | |
| " <td>1.811909e+06</td>\n", | |
| " <td>8.247814e+06</td>\n", | |
| " <td>32741887</td>\n", | |
| " <td>0.218832</td>\n", | |
| " <td>866 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>PEERPLAYS</th>\n", | |
| " <td>142</td>\n", | |
| " <td>1.296604e+07</td>\n", | |
| " <td>5.575028e+06</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1.203478e+07</td>\n", | |
| " <td>1.348575e+07</td>\n", | |
| " <td>1.481080e+07</td>\n", | |
| " <td>41499700</td>\n", | |
| " <td>0.112385</td>\n", | |
| " <td>145 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ZEC</th>\n", | |
| " <td>69</td>\n", | |
| " <td>8.476995e+06</td>\n", | |
| " <td>4.914505e+06</td>\n", | |
| " <td>688986</td>\n", | |
| " <td>4.408342e+06</td>\n", | |
| " <td>8.309063e+06</td>\n", | |
| " <td>9.995588e+06</td>\n", | |
| " <td>21010286</td>\n", | |
| " <td>0.530384</td>\n", | |
| " <td>68 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>...</th>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>NMB</th>\n", | |
| " <td>363</td>\n", | |
| " <td>2.487898e+03</td>\n", | |
| " <td>2.811076e+03</td>\n", | |
| " <td>0</td>\n", | |
| " <td>9.220000e+02</td>\n", | |
| " <td>1.670000e+03</td>\n", | |
| " <td>2.659500e+03</td>\n", | |
| " <td>23910</td>\n", | |
| " <td>0.461167</td>\n", | |
| " <td>487 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>UIS</th>\n", | |
| " <td>681</td>\n", | |
| " <td>3.253595e+03</td>\n", | |
| " <td>2.722253e+03</td>\n", | |
| " <td>403</td>\n", | |
| " <td>1.119000e+03</td>\n", | |
| " <td>1.939000e+03</td>\n", | |
| " <td>5.146000e+03</td>\n", | |
| " <td>16840</td>\n", | |
| " <td>0.226756</td>\n", | |
| " <td>724 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>RIPO</th>\n", | |
| " <td>490</td>\n", | |
| " <td>2.546420e+03</td>\n", | |
| " <td>2.636026e+03</td>\n", | |
| " <td>479</td>\n", | |
| " <td>1.426000e+03</td>\n", | |
| " <td>1.810000e+03</td>\n", | |
| " <td>2.397750e+03</td>\n", | |
| " <td>31336</td>\n", | |
| " <td>0.202551</td>\n", | |
| " <td>500 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>BTCRY</th>\n", | |
| " <td>352</td>\n", | |
| " <td>2.360776e+03</td>\n", | |
| " <td>2.556883e+03</td>\n", | |
| " <td>554</td>\n", | |
| " <td>1.171250e+03</td>\n", | |
| " <td>1.714000e+03</td>\n", | |
| " <td>2.773000e+03</td>\n", | |
| " <td>39780</td>\n", | |
| " <td>0.457245</td>\n", | |
| " <td>540 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>BIC</th>\n", | |
| " <td>91</td>\n", | |
| " <td>7.000956e+03</td>\n", | |
| " <td>2.120562e+03</td>\n", | |
| " <td>861</td>\n", | |
| " <td>5.507000e+03</td>\n", | |
| " <td>6.800000e+03</td>\n", | |
| " <td>8.432500e+03</td>\n", | |
| " <td>13724</td>\n", | |
| " <td>0.510532</td>\n", | |
| " <td>91 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>SOLE</th>\n", | |
| " <td>284</td>\n", | |
| " <td>2.692239e+03</td>\n", | |
| " <td>2.100944e+03</td>\n", | |
| " <td>593</td>\n", | |
| " <td>1.481000e+03</td>\n", | |
| " <td>2.103500e+03</td>\n", | |
| " <td>3.184750e+03</td>\n", | |
| " <td>15380</td>\n", | |
| " <td>0.419826</td>\n", | |
| " <td>502 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>TAGR</th>\n", | |
| " <td>278</td>\n", | |
| " <td>2.099745e+03</td>\n", | |
| " <td>1.884371e+03</td>\n", | |
| " <td>0</td>\n", | |
| " <td>9.585000e+02</td>\n", | |
| " <td>1.616000e+03</td>\n", | |
| " <td>2.558500e+03</td>\n", | |
| " <td>15574</td>\n", | |
| " <td>0.411608</td>\n", | |
| " <td>538 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>BVC</th>\n", | |
| " <td>619</td>\n", | |
| " <td>1.995767e+03</td>\n", | |
| " <td>1.735835e+03</td>\n", | |
| " <td>84</td>\n", | |
| " <td>1.079500e+03</td>\n", | |
| " <td>1.700000e+03</td>\n", | |
| " <td>2.267000e+03</td>\n", | |
| " <td>22155</td>\n", | |
| " <td>0.416937</td>\n", | |
| " <td>823 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ANAL</th>\n", | |
| " <td>72</td>\n", | |
| " <td>2.706917e+03</td>\n", | |
| " <td>1.710107e+03</td>\n", | |
| " <td>349</td>\n", | |
| " <td>1.176750e+03</td>\n", | |
| " <td>2.185500e+03</td>\n", | |
| " <td>4.246500e+03</td>\n", | |
| " <td>6675</td>\n", | |
| " <td>1.507442</td>\n", | |
| " <td>393 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>BTQ</th>\n", | |
| " <td>673</td>\n", | |
| " <td>1.972119e+03</td>\n", | |
| " <td>1.576300e+03</td>\n", | |
| " <td>425</td>\n", | |
| " <td>1.009000e+03</td>\n", | |
| " <td>1.241000e+03</td>\n", | |
| " <td>2.235000e+03</td>\n", | |
| " <td>9537</td>\n", | |
| " <td>0.348460</td>\n", | |
| " <td>891 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>FFC</th>\n", | |
| " <td>552</td>\n", | |
| " <td>1.868679e+03</td>\n", | |
| " <td>1.547461e+03</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>2.133000e+03</td>\n", | |
| " <td>2.948250e+03</td>\n", | |
| " <td>8214</td>\n", | |
| " <td>0.278871</td>\n", | |
| " <td>798 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>PHO</th>\n", | |
| " <td>673</td>\n", | |
| " <td>2.040495e+03</td>\n", | |
| " <td>1.382972e+03</td>\n", | |
| " <td>273</td>\n", | |
| " <td>1.209000e+03</td>\n", | |
| " <td>1.579000e+03</td>\n", | |
| " <td>2.573000e+03</td>\n", | |
| " <td>15542</td>\n", | |
| " <td>0.297103</td>\n", | |
| " <td>958 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>YUM</th>\n", | |
| " <td>88</td>\n", | |
| " <td>2.402034e+03</td>\n", | |
| " <td>1.364485e+03</td>\n", | |
| " <td>199</td>\n", | |
| " <td>1.348750e+03</td>\n", | |
| " <td>2.190000e+03</td>\n", | |
| " <td>2.983000e+03</td>\n", | |
| " <td>6155</td>\n", | |
| " <td>0.259373</td>\n", | |
| " <td>116 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAC</th>\n", | |
| " <td>246</td>\n", | |
| " <td>1.087341e+03</td>\n", | |
| " <td>1.328630e+03</td>\n", | |
| " <td>21</td>\n", | |
| " <td>4.582500e+02</td>\n", | |
| " <td>6.110000e+02</td>\n", | |
| " <td>1.431750e+03</td>\n", | |
| " <td>9252</td>\n", | |
| " <td>0.749683</td>\n", | |
| " <td>698 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>URC</th>\n", | |
| " <td>309</td>\n", | |
| " <td>1.129408e+03</td>\n", | |
| " <td>1.108105e+03</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1.170000e+02</td>\n", | |
| " <td>5.160000e+02</td>\n", | |
| " <td>2.233000e+03</td>\n", | |
| " <td>3529</td>\n", | |
| " <td>0.432806</td>\n", | |
| " <td>645 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>VCOIN</th>\n", | |
| " <td>227</td>\n", | |
| " <td>1.459392e+03</td>\n", | |
| " <td>1.064612e+03</td>\n", | |
| " <td>90</td>\n", | |
| " <td>6.400000e+02</td>\n", | |
| " <td>1.185000e+03</td>\n", | |
| " <td>1.862500e+03</td>\n", | |
| " <td>7291</td>\n", | |
| " <td>0.668958</td>\n", | |
| " <td>880 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>XMS</th>\n", | |
| " <td>96</td>\n", | |
| " <td>7.154375e+02</td>\n", | |
| " <td>7.807363e+02</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>7.080000e+02</td>\n", | |
| " <td>9.627500e+02</td>\n", | |
| " <td>3247</td>\n", | |
| " <td>1.046771</td>\n", | |
| " <td>468 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>XAU</th>\n", | |
| " <td>239</td>\n", | |
| " <td>3.280921e+02</td>\n", | |
| " <td>6.844603e+02</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>3.565000e+02</td>\n", | |
| " <td>4703</td>\n", | |
| " <td>0.915180</td>\n", | |
| " <td>661 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>EUC</th>\n", | |
| " <td>450</td>\n", | |
| " <td>6.248367e+02</td>\n", | |
| " <td>5.266348e+02</td>\n", | |
| " <td>67</td>\n", | |
| " <td>2.582500e+02</td>\n", | |
| " <td>5.000000e+02</td>\n", | |
| " <td>8.397500e+02</td>\n", | |
| " <td>6414</td>\n", | |
| " <td>0.864516</td>\n", | |
| " <td>499 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>P7C</th>\n", | |
| " <td>299</td>\n", | |
| " <td>3.503545e+02</td>\n", | |
| " <td>4.808688e+02</td>\n", | |
| " <td>59</td>\n", | |
| " <td>1.440000e+02</td>\n", | |
| " <td>2.260000e+02</td>\n", | |
| " <td>4.085000e+02</td>\n", | |
| " <td>4406</td>\n", | |
| " <td>0.800143</td>\n", | |
| " <td>629 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>CF</th>\n", | |
| " <td>536</td>\n", | |
| " <td>1.182220e+02</td>\n", | |
| " <td>4.329374e+02</td>\n", | |
| " <td>1</td>\n", | |
| " <td>3.600000e+01</td>\n", | |
| " <td>5.600000e+01</td>\n", | |
| " <td>1.050000e+02</td>\n", | |
| " <td>8595</td>\n", | |
| " <td>0.692124</td>\n", | |
| " <td>625 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>NTC</th>\n", | |
| " <td>122</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.202762</td>\n", | |
| " <td>122 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>TP1</th>\n", | |
| " <td>466</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.888500</td>\n", | |
| " <td>624 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>UNC</th>\n", | |
| " <td>567</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.780296</td>\n", | |
| " <td>654 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>GAY</th>\n", | |
| " <td>14</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4.256773</td>\n", | |
| " <td>40 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>BFX</th>\n", | |
| " <td>140</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.032327</td>\n", | |
| " <td>139 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>LTS</th>\n", | |
| " <td>214</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.625479</td>\n", | |
| " <td>373 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>LEO</th>\n", | |
| " <td>520</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.192770</td>\n", | |
| " <td>520 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ACCI</th>\n", | |
| " <td>358</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.056302</td>\n", | |
| " <td>367 days</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>OMC</th>\n", | |
| " <td>83</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0.000000e+00</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.442814</td>\n", | |
| " <td>103 days</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>465 rows × 10 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " count mean std min 25% \\\n", | |
| "BTC 1334 5.938531e+09 3.206256e+09 771368060 3.440007e+09 \n", | |
| "ETH 517 5.936327e+08 4.184720e+08 0 8.276129e+07 \n", | |
| "LTC 1336 1.794747e+08 1.400076e+08 38286159 7.350833e+07 \n", | |
| "XRP 1233 2.102583e+08 1.311619e+08 22647332 1.353018e+08 \n", | |
| "STEEM 263 7.137737e+07 8.223250e+07 2607835 1.826474e+07 \n", | |
| "DAO 223 3.258828e+07 5.893465e+07 0 0.000000e+00 \n", | |
| "AUR 1032 7.157222e+06 4.679646e+07 29532 1.113818e+05 \n", | |
| "XMR 948 2.202848e+07 3.965072e+07 1221459 3.937612e+06 \n", | |
| "ETC 166 1.056877e+08 3.517067e+07 0 7.939854e+07 \n", | |
| "PPC 1326 1.981177e+07 2.673931e+07 2052718 7.189065e+06 \n", | |
| "REP 324 1.387439e+07 2.310442e+07 0 0.000000e+00 \n", | |
| "DASH 1043 2.931284e+07 2.308894e+07 702537 1.342470e+07 \n", | |
| "XEM 645 1.793508e+07 2.209438e+07 765012 1.353230e+06 \n", | |
| "OMNI 1057 7.865851e+06 1.760173e+07 385485 1.176758e+06 \n", | |
| "NXT 1113 1.966888e+07 1.659026e+07 2323130 7.887757e+06 \n", | |
| "BTS 895 1.894088e+07 1.482308e+07 7554456 1.016428e+07 \n", | |
| "MAID 973 1.886467e+07 1.321598e+07 5026499 8.558807e+06 \n", | |
| "LSK 274 2.029708e+07 1.220979e+07 0 1.459858e+07 \n", | |
| "DOGE 1104 2.279368e+07 1.162222e+07 1619159 1.423230e+07 \n", | |
| "NMC 1336 9.868520e+06 1.111715e+07 1943616 4.358208e+06 \n", | |
| "ICN 98 1.330578e+07 1.015403e+07 0 2.291798e+06 \n", | |
| "WAVES 218 2.004726e+07 8.413760e+06 0 1.703030e+07 \n", | |
| "FCT 458 1.296918e+07 8.232188e+06 0 8.139414e+06 \n", | |
| "QRK 1206 3.024214e+06 6.512519e+06 22864 5.801790e+05 \n", | |
| "BAT 801 2.436727e+05 6.379529e+06 244 7.380000e+02 \n", | |
| "DGD 263 1.994130e+07 6.171814e+06 0 1.841691e+07 \n", | |
| "AMP 388 8.681692e+06 6.112485e+06 0 3.666588e+06 \n", | |
| "EMC 799 5.191719e+06 5.825402e+06 49158 3.658285e+05 \n", | |
| "PEERPLAYS 142 1.296604e+07 5.575028e+06 0 1.203478e+07 \n", | |
| "ZEC 69 8.476995e+06 4.914505e+06 688986 4.408342e+06 \n", | |
| "... ... ... ... ... ... \n", | |
| "NMB 363 2.487898e+03 2.811076e+03 0 9.220000e+02 \n", | |
| "UIS 681 3.253595e+03 2.722253e+03 403 1.119000e+03 \n", | |
| "RIPO 490 2.546420e+03 2.636026e+03 479 1.426000e+03 \n", | |
| "BTCRY 352 2.360776e+03 2.556883e+03 554 1.171250e+03 \n", | |
| "BIC 91 7.000956e+03 2.120562e+03 861 5.507000e+03 \n", | |
| "SOLE 284 2.692239e+03 2.100944e+03 593 1.481000e+03 \n", | |
| "TAGR 278 2.099745e+03 1.884371e+03 0 9.585000e+02 \n", | |
| "BVC 619 1.995767e+03 1.735835e+03 84 1.079500e+03 \n", | |
| "ANAL 72 2.706917e+03 1.710107e+03 349 1.176750e+03 \n", | |
| "BTQ 673 1.972119e+03 1.576300e+03 425 1.009000e+03 \n", | |
| "FFC 552 1.868679e+03 1.547461e+03 0 0.000000e+00 \n", | |
| "PHO 673 2.040495e+03 1.382972e+03 273 1.209000e+03 \n", | |
| "YUM 88 2.402034e+03 1.364485e+03 199 1.348750e+03 \n", | |
| "MAC 246 1.087341e+03 1.328630e+03 21 4.582500e+02 \n", | |
| "URC 309 1.129408e+03 1.108105e+03 0 1.170000e+02 \n", | |
| "VCOIN 227 1.459392e+03 1.064612e+03 90 6.400000e+02 \n", | |
| "XMS 96 7.154375e+02 7.807363e+02 0 0.000000e+00 \n", | |
| "XAU 239 3.280921e+02 6.844603e+02 0 0.000000e+00 \n", | |
| "EUC 450 6.248367e+02 5.266348e+02 67 2.582500e+02 \n", | |
| "P7C 299 3.503545e+02 4.808688e+02 59 1.440000e+02 \n", | |
| "CF 536 1.182220e+02 4.329374e+02 1 3.600000e+01 \n", | |
| "NTC 122 0.000000e+00 0.000000e+00 0 0.000000e+00 \n", | |
| "TP1 466 0.000000e+00 0.000000e+00 0 0.000000e+00 \n", | |
| "UNC 567 0.000000e+00 0.000000e+00 0 0.000000e+00 \n", | |
| "GAY 14 0.000000e+00 0.000000e+00 0 0.000000e+00 \n", | |
| "BFX 140 0.000000e+00 0.000000e+00 0 0.000000e+00 \n", | |
| "LTS 214 0.000000e+00 0.000000e+00 0 0.000000e+00 \n", | |
| "LEO 520 0.000000e+00 0.000000e+00 0 0.000000e+00 \n", | |
| "ACCI 358 0.000000e+00 0.000000e+00 0 0.000000e+00 \n", | |
| "OMC 83 0.000000e+00 0.000000e+00 0 0.000000e+00 \n", | |
| "\n", | |
| " 50% 75% max volitility age \n", | |
| "BTC 5.719755e+09 8.060826e+09 18644431654 0.043957 1348 days \n", | |
| "ETH 7.219974e+08 9.555388e+08 1574168166 0.099270 517 days \n", | |
| "LTC 1.506176e+08 1.919207e+08 1177317283 0.060758 1348 days \n", | |
| "XRP 2.126757e+08 2.654766e+08 857164657 0.063426 1250 days \n", | |
| "STEEM 3.683752e+07 8.435092e+07 384523624 0.133776 262 days \n", | |
| "DAO 0.000000e+00 0.000000e+00 220132242 0.097652 234 days \n", | |
| "AUR 3.164355e+05 1.198089e+06 1026360933 0.130050 1043 days \n", | |
| "XMR 5.187013e+06 1.311592e+07 253482045 0.079321 960 days \n", | |
| "ETC 9.950399e+07 1.216644e+08 240759636 0.084335 165 days \n", | |
| "PPC 9.423864e+06 1.702938e+07 157368010 0.069038 1348 days \n", | |
| "REP 0.000000e+00 3.344982e+07 109947089 0.128455 436 days \n", | |
| "DASH 1.762291e+07 4.476944e+07 113121036 0.108735 1056 days \n", | |
| "XEM 5.557067e+06 3.327705e+07 110157299 0.081810 645 days \n", | |
| "OMNI 1.582457e+06 2.583471e+06 116200444 0.139213 1108 days \n", | |
| "NXT 1.225206e+07 2.616591e+07 93055415 0.082512 1128 days \n", | |
| "BTS 1.273195e+07 1.978953e+07 86084678 0.062186 899 days \n", | |
| "MAID 1.196870e+07 3.085023e+07 54457894 0.069719 983 days \n", | |
| "LSK 2.172435e+07 2.795097e+07 50095000 0.350217 274 days \n", | |
| "DOGE 2.241242e+07 2.535151e+07 91985567 0.077914 1117 days \n", | |
| "NMC 5.574502e+06 9.560784e+06 97214979 0.076186 1348 days \n", | |
| "ICN 1.469286e+07 1.839134e+07 57311772 0.362910 97 days \n", | |
| "WAVES 1.982825e+07 2.359282e+07 39532700 0.548469 217 days \n", | |
| "FCT 1.190840e+07 1.963931e+07 33422766 0.096021 457 days \n", | |
| "QRK 1.048916e+06 1.692836e+06 60645764 0.099295 1229 days \n", | |
| "BAT 1.373000e+03 2.927000e+03 180205011 98.167431 1002 days \n", | |
| "DGD 2.018520e+07 2.211790e+07 39497800 0.195865 262 days \n", | |
| "AMP 7.496560e+06 1.110370e+07 33744295 0.132091 398 days \n", | |
| "EMC 1.811909e+06 8.247814e+06 32741887 0.218832 866 days \n", | |
| "PEERPLAYS 1.348575e+07 1.481080e+07 41499700 0.112385 145 days \n", | |
| "ZEC 8.309063e+06 9.995588e+06 21010286 0.530384 68 days \n", | |
| "... ... ... ... ... ... \n", | |
| "NMB 1.670000e+03 2.659500e+03 23910 0.461167 487 days \n", | |
| "UIS 1.939000e+03 5.146000e+03 16840 0.226756 724 days \n", | |
| "RIPO 1.810000e+03 2.397750e+03 31336 0.202551 500 days \n", | |
| "BTCRY 1.714000e+03 2.773000e+03 39780 0.457245 540 days \n", | |
| "BIC 6.800000e+03 8.432500e+03 13724 0.510532 91 days \n", | |
| "SOLE 2.103500e+03 3.184750e+03 15380 0.419826 502 days \n", | |
| "TAGR 1.616000e+03 2.558500e+03 15574 0.411608 538 days \n", | |
| "BVC 1.700000e+03 2.267000e+03 22155 0.416937 823 days \n", | |
| "ANAL 2.185500e+03 4.246500e+03 6675 1.507442 393 days \n", | |
| "BTQ 1.241000e+03 2.235000e+03 9537 0.348460 891 days \n", | |
| "FFC 2.133000e+03 2.948250e+03 8214 0.278871 798 days \n", | |
| "PHO 1.579000e+03 2.573000e+03 15542 0.297103 958 days \n", | |
| "YUM 2.190000e+03 2.983000e+03 6155 0.259373 116 days \n", | |
| "MAC 6.110000e+02 1.431750e+03 9252 0.749683 698 days \n", | |
| "URC 5.160000e+02 2.233000e+03 3529 0.432806 645 days \n", | |
| "VCOIN 1.185000e+03 1.862500e+03 7291 0.668958 880 days \n", | |
| "XMS 7.080000e+02 9.627500e+02 3247 1.046771 468 days \n", | |
| "XAU 0.000000e+00 3.565000e+02 4703 0.915180 661 days \n", | |
| "EUC 5.000000e+02 8.397500e+02 6414 0.864516 499 days \n", | |
| "P7C 2.260000e+02 4.085000e+02 4406 0.800143 629 days \n", | |
| "CF 5.600000e+01 1.050000e+02 8595 0.692124 625 days \n", | |
| "NTC 0.000000e+00 0.000000e+00 0 0.202762 122 days \n", | |
| "TP1 0.000000e+00 0.000000e+00 0 0.888500 624 days \n", | |
| "UNC 0.000000e+00 0.000000e+00 0 0.780296 654 days \n", | |
| "GAY 0.000000e+00 0.000000e+00 0 4.256773 40 days \n", | |
| "BFX 0.000000e+00 0.000000e+00 0 0.032327 139 days \n", | |
| "LTS 0.000000e+00 0.000000e+00 0 0.625479 373 days \n", | |
| "LEO 0.000000e+00 0.000000e+00 0 0.192770 520 days \n", | |
| "ACCI 0.000000e+00 0.000000e+00 0 0.056302 367 days \n", | |
| "OMC 0.000000e+00 0.000000e+00 0 0.442814 103 days \n", | |
| "\n", | |
| "[465 rows x 10 columns]" | |
| ] | |
| }, | |
| "execution_count": 47, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "# start with a table of stats\n", | |
| "prices = df.xs('price',axis=1,level=1)\n", | |
| "market_cap = df.xs('market_cap',axis=1,level=1)\n", | |
| "stats=market_cap.describe().T\n", | |
| "\n", | |
| "# add volitility\n", | |
| "\n", | |
| "stats['volitility']=(prices.diff()/prices).std()\n", | |
| "\n", | |
| "# age\n", | |
| "spans={}\n", | |
| "for coin in df.columns.levels[0]:\n", | |
| " ind = df[coin].dropna().index\n", | |
| " spans[coin] = (ind.max()-ind.min())\n", | |
| "stats['age']=pd.Series(spans)\n", | |
| "\n", | |
| "stats.sort_values('std', ascending=False)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 48, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T13:08:04.896055", | |
| "start_time": "2017-02-22T13:08:00.485314" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| " market_cap price volume\n", | |
| "count 284.000000 284.000000 284.000000\n", | |
| "mean 54575.366197 0.073708 128.660996\n", | |
| "std 187250.930435 0.249595 700.398988\n", | |
| "min 0.000000 0.000955 0.001465\n", | |
| "25% 1263.500000 0.001701 1.567620\n", | |
| "50% 1663.000000 0.002273 8.891015\n", | |
| "75% 3004.750000 0.004021 43.556900\n", | |
| "max 1279567.000000 1.705630 7765.470000\n", | |
| " market_cap price volume\n", | |
| "count 289.000000 289.000000 289.000000\n", | |
| "mean 69183.339100 1.187945 16951.153702\n", | |
| "std 90156.725642 1.427188 69487.373809\n", | |
| "min 0.000000 0.104398 0.066934\n", | |
| "25% 8633.000000 0.210865 115.688000\n", | |
| "50% 28149.000000 0.537680 755.973000\n", | |
| "75% 113116.000000 1.749720 5429.520000\n", | |
| "max 447455.000000 7.370380 899244.000000\n", | |
| " market_cap price volume\n", | |
| "count 614.000000 614.000000 614.000000\n", | |
| "mean 13485.700326 0.039523 304.292661\n", | |
| "std 36034.836972 0.073021 1597.444845\n", | |
| "min 2398.000000 0.007726 0.013383\n", | |
| "25% 7758.250000 0.013478 32.504675\n", | |
| "50% 10351.500000 0.017281 96.526650\n", | |
| "75% 14443.750000 0.037620 204.744250\n", | |
| "max 881635.000000 1.238320 33432.500000\n", | |
| " market_cap price volume\n", | |
| "count 910.000000 910.000000 910.000000\n", | |
| "mean 260096.940659 0.000773 4569.827471\n", | |
| "std 292772.767016 0.000839 45120.216795\n", | |
| "min 28472.000000 0.000149 0.002027\n", | |
| "25% 74652.000000 0.000317 2.788600\n", | |
| "50% 150756.500000 0.000490 29.564550\n", | |
| "75% 360078.750000 0.000920 154.454750\n", | |
| "max 3655307.000000 0.008488 1031480.000000\n", | |
| " market_cap price volume\n", | |
| "count 358 358.000000 358.000000\n", | |
| "mean 0 1.879058 210.604645\n", | |
| "std 0 0.488564 279.846393\n", | |
| "min 0 0.655555 2.223110\n", | |
| "25% 0 1.681518 104.488000\n", | |
| "50% 0 1.988640 129.109000\n", | |
| "75% 0 2.196490 202.137250\n", | |
| "max 0 3.099710 2270.660000\n", | |
| " market_cap price volume\n", | |
| "count 707.000000 707.000000 707.000000\n", | |
| "mean 5177.223479 0.007959 60.858712\n", | |
| "std 3066.981276 0.008058 187.612025\n", | |
| "min 111.000000 0.000683 0.005157\n", | |
| "25% 2739.500000 0.002426 1.820640\n", | |
| "50% 4370.000000 0.006283 15.978900\n", | |
| "75% 7524.500000 0.009496 60.223850\n", | |
| "max 26606.000000 0.061266 3864.430000\n", | |
| " market_cap price volume\n", | |
| "count 777.000000 777.000000 777.000000\n", | |
| "mean 18864.581725 0.001791 837.066321\n", | |
| "std 22329.768131 0.003037 6950.410159\n", | |
| "min 769.000000 0.000053 0.022637\n", | |
| "25% 3239.000000 0.000221 2.238050\n", | |
| "50% 6080.000000 0.000415 18.522700\n", | |
| "75% 37372.000000 0.002844 253.525000\n", | |
| "max 138927.000000 0.033227 166407.000000\n", | |
| " market_cap price volume\n", | |
| "count 377.000000 377.000000 377.000000\n", | |
| "mean 364334.302387 0.027112 3185.772663\n", | |
| "std 417251.520691 0.028078 3045.007876\n", | |
| "min 9120.000000 0.003304 14.416000\n", | |
| "25% 46689.000000 0.013039 1067.020000\n", | |
| "50% 92985.000000 0.017837 2179.450000\n", | |
| "75% 619643.000000 0.026807 4476.380000\n", | |
| "max 1703514.000000 0.161113 19118.600000\n", | |
| " market_cap price volume\n", | |
| "count 520.000000 520.000000 520.000000\n", | |
| "mean 317333.332692 0.026517 1462.941255\n", | |
| "std 395254.386140 0.030360 4785.751154\n", | |
| "min 19899.000000 0.002479 0.372688\n", | |
| "25% 89653.000000 0.008705 138.255750\n", | |
| "50% 131965.000000 0.013248 357.105000\n", | |
| "75% 467041.000000 0.036562 980.245250\n", | |
| "max 2225526.000000 0.167590 77977.900000\n", | |
| " market_cap price volume\n", | |
| "count 645.000000 645.000000 645.000000\n", | |
| "mean 5494.966667 0.000227 260.207739\n", | |
| "std 8445.913747 0.000204 1272.501649\n", | |
| "min 533.000000 0.000039 0.000693\n", | |
| "25% 2326.000000 0.000108 3.114420\n", | |
| "50% 3904.000000 0.000171 9.772680\n", | |
| "75% 5684.000000 0.000286 36.238400\n", | |
| "max 176821.000000 0.002887 21041.700000\n", | |
| " market_cap price volume\n", | |
| "count 697.000000 697.000000 697.000000\n", | |
| "mean 428024.348637 0.017889 502.520667\n", | |
| "std 366786.084210 0.010962 1146.731229\n", | |
| "min 0.000000 0.003671 0.004572\n", | |
| "25% 208418.000000 0.008926 71.322400\n", | |
| "50% 320397.000000 0.015682 204.209000\n", | |
| "75% 631015.000000 0.024329 525.675000\n", | |
| "max 2044790.000000 0.047522 22636.200000\n", | |
| " market_cap price volume\n", | |
| "count 388.000000 388.000000 388.000000\n", | |
| "mean 8681691.755155 0.075078 88929.675639\n", | |
| "std 6112485.441710 0.056968 165415.623360\n", | |
| "min 0.000000 0.002216 0.313310\n", | |
| "25% 3666588.500000 0.035590 3867.060000\n", | |
| "50% 7496559.500000 0.049593 31502.200000\n", | |
| "75% 11103697.250000 0.112337 96392.525000\n", | |
| "max 33744295.000000 0.234040 1594590.000000\n", | |
| " market_cap price volume\n", | |
| "count 72.000000 72.000000 72.000000\n", | |
| "mean 2706.916667 0.016549 21.048756\n", | |
| "std 1710.107251 0.011302 53.394323\n", | |
| "min 349.000000 0.002475 0.022840\n", | |
| "25% 1176.750000 0.007293 0.048297\n", | |
| "50% 2185.500000 0.010553 2.655850\n", | |
| "75% 4246.500000 0.025959 12.493000\n", | |
| "max 6675.000000 0.047277 287.475000\n", | |
| " market_cap price volume\n", | |
| "count 1238.000000 1238.000000 1238.000000\n", | |
| "mean 546105.763328 0.579841 5652.033130\n", | |
| "std 707669.685777 1.189624 16207.556509\n", | |
| "min 3677.000000 0.010209 0.000000\n", | |
| "25% 231239.250000 0.133186 611.747500\n", | |
| "50% 343050.500000 0.193232 1918.725000\n", | |
| "75% 527141.250000 0.372810 5415.287500\n", | |
| "max 6716056.000000 11.972900 429756.000000\n", | |
| " market_cap price volume\n", | |
| "count 119.000000 119.000000 119.000000\n", | |
| "mean 4663831.907563 0.185764 121524.632151\n", | |
| "std 3895655.606427 0.076062 198469.027274\n", | |
| "min 0.000000 0.079105 141.670000\n", | |
| "25% 0.000000 0.143584 11492.700000\n", | |
| "50% 6625200.000000 0.171223 56933.600000\n", | |
| "75% 8087749.500000 0.191617 133062.000000\n", | |
| "max 11241800.000000 0.551343 1339310.000000\n", | |
| " market_cap price volume\n", | |
| "count 1042.000000 1042.000000 1042.000000\n", | |
| "mean 361493.831094 0.017895 8765.794768\n", | |
| "std 225089.432939 0.015196 29047.087949\n", | |
| "min 79322.000000 0.003559 0.200644\n", | |
| "25% 231759.500000 0.010982 613.271000\n", | |
| "50% 334519.000000 0.015105 1959.000000\n", | |
| "75% 419365.750000 0.019460 6587.105000\n", | |
| "max 1966193.000000 0.135699 681292.000000\n", | |
| " market_cap price volume\n", | |
| "count 802.000000 802.000000 802.000000\n", | |
| "mean 13600.921446 0.002228 843.549375\n", | |
| "std 10170.545473 0.001671 4768.855884\n", | |
| "min 3057.000000 0.000498 0.001358\n", | |
| "25% 8138.000000 0.001335 6.779198\n", | |
| "50% 10010.000000 0.001638 32.088850\n", | |
| "75% 14367.000000 0.002353 183.187250\n", | |
| "max 73658.000000 0.012108 82901.100000\n", | |
| " market_cap price volume\n", | |
| "count 812.000000 812.000000 812.000000\n", | |
| "mean 308079.261700 0.018838 4102.213159\n", | |
| "std 371871.302511 0.022769 11334.390341\n", | |
| "min 9146.000000 0.000552 0.353041\n", | |
| "25% 38808.750000 0.002351 165.324500\n", | |
| "50% 219049.500000 0.013415 754.982000\n", | |
| "75% 401941.000000 0.024701 2783.002500\n", | |
| "max 2561107.000000 0.156834 142560.000000\n", | |
| " market_cap price volume\n", | |
| "count 93.000000 93.000000 93.000000\n", | |
| "mean 9105070.774194 0.013408 41625.700932\n", | |
| "std 4006010.160097 0.007687 79553.780861\n", | |
| "min 0.000000 0.008772 0.006924\n", | |
| "25% 9426089.000000 0.009742 11798.600000\n", | |
| "50% 10000684.000000 0.010269 19012.100000\n", | |
| "75% 10575408.000000 0.011678 44591.100000\n", | |
| "max 18541930.000000 0.041931 680888.000000\n", | |
| " market_cap price volume\n", | |
| "count 1128.000000 1128.000000 1128.000000\n", | |
| "mean 21578.871454 0.029282 347.021053\n", | |
| "std 44231.652222 0.084322 1511.685582\n", | |
| "min 2034.000000 0.000485 0.000000\n", | |
| "25% 4563.750000 0.001749 4.462270\n", | |
| "50% 7354.500000 0.002405 15.917500\n", | |
| "75% 11606.750000 0.010523 64.061775\n", | |
| "max 366798.000000 0.938285 20337.000000\n", | |
| " market_cap price volume\n", | |
| "count 976.000000 976.000000 976.000000\n", | |
| "mean 20879.633197 0.000192 233.978771\n", | |
| "std 15634.610002 0.000155 1243.451173\n", | |
| "min 1095.000000 0.000008 0.001539\n", | |
| "25% 10641.750000 0.000090 3.633307\n", | |
| "50% 17927.500000 0.000149 21.033450\n", | |
| "75% 26490.250000 0.000237 119.945250\n", | |
| "max 113487.000000 0.000900 31643.700000\n", | |
| " market_cap price volume\n", | |
| "count 870.000000 870.000000 870.000000\n", | |
| "mean 46182.817241 0.000132 1148.147776\n", | |
| "std 143510.517221 0.000368 8774.439746\n", | |
| "min 0.000000 0.000002 0.000250\n", | |
| "25% 5048.750000 0.000015 2.302365\n", | |
| "50% 9752.000000 0.000031 22.733050\n", | |
| "75% 24046.750000 0.000087 106.183250\n", | |
| "max 1490551.000000 0.003932 165319.000000\n", | |
| " market_cap price volume\n", | |
| "count 449.000000 449.000000 449.000000\n", | |
| "mean 12891.387528 0.049109 57.221898\n", | |
| "std 27083.450090 0.094145 350.580403\n", | |
| "min 0.000000 0.000829 0.007044\n", | |
| "25% 1068.000000 0.005343 1.568360\n", | |
| "50% 4348.000000 0.020780 4.739450\n", | |
| "75% 12832.000000 0.050069 11.589900\n", | |
| "max 212391.000000 0.738281 3879.430000\n", | |
| " market_cap price volume\n", | |
| "count 1.032000e+03 1032.000000 1032.000000\n", | |
| "mean 7.157222e+06 0.695967 22402.570197\n", | |
| "std 4.679646e+07 4.409066 232469.008359\n", | |
| "min 2.953200e+04 0.012693 37.003200\n", | |
| "25% 1.113818e+05 0.032503 410.834500\n", | |
| "50% 3.164355e+05 0.057468 1037.530000\n", | |
| "75% 1.198089e+06 0.136413 2927.690000\n", | |
| "max 1.026361e+09 96.808000 6774910.000000\n", | |
| " market_cap price volume\n", | |
| "count 417.000000 417.000000 417.000000\n", | |
| "mean 1905.208633 0.001978 319.935574\n", | |
| "std 2944.426231 0.003393 1789.792566\n", | |
| "min 0.000000 0.000360 0.000442\n", | |
| "25% 916.000000 0.000870 0.484488\n", | |
| "50% 1217.000000 0.001141 6.411190\n", | |
| "75% 1654.000000 0.001559 34.030800\n", | |
| "max 24352.000000 0.030333 23580.300000\n", | |
| " market_cap price volume\n", | |
| "count 18.000000 18.000000 18.000000\n", | |
| "mean 74493.444444 0.003721 664.299756\n", | |
| "std 44608.311948 0.002224 594.007752\n", | |
| "min 36507.000000 0.001825 39.037700\n", | |
| "25% 47269.250000 0.002363 296.071500\n", | |
| "50% 54163.000000 0.002708 479.679000\n", | |
| "75% 77395.250000 0.003864 654.119500\n", | |
| "max 172608.000000 0.008613 1804.010000\n", | |
| " market_cap price volume\n", | |
| "count 511.000000 511.000000 511.000000\n", | |
| "mean 5038578.679061 1.549900 6831.832644\n", | |
| "std 4733972.129501 0.539751 6744.594301\n", | |
| "min 0.000000 0.000051 0.498392\n", | |
| "25% 0.000000 1.196480 1865.520000\n", | |
| "50% 4014263.000000 1.564410 5788.560000\n", | |
| "75% 8873779.000000 1.918245 10052.300000\n", | |
| "max 14418180.000000 3.076350 79086.300000\n", | |
| " market_cap price volume\n", | |
| "count 8.010000e+02 8.010000e+02 8.010000e+02\n", | |
| "mean 2.436727e+05 4.569570e-05 1.605430e+02\n", | |
| "std 6.379529e+06 1.206780e-03 1.252787e+03\n", | |
| "min 2.440000e+02 3.767400e-08 1.025080e-08\n", | |
| "25% 7.380000e+02 1.140100e-07 2.670650e+00\n", | |
| "50% 1.373000e+03 2.119550e-07 1.260620e+01\n", | |
| "75% 2.927000e+03 4.516950e-07 4.686030e+01\n", | |
| "max 1.802050e+08 3.410190e-02 3.234220e+04\n", | |
| " market_cap price volume\n", | |
| "count 775.000000 775.000000 775.000000\n", | |
| "mean 353331.056774 0.000352 2026.689276\n", | |
| "std 250164.000624 0.000249 6027.785731\n", | |
| "min 91970.000000 0.000092 0.021532\n", | |
| "25% 176202.500000 0.000176 170.946000\n", | |
| "50% 220124.000000 0.000220 515.017000\n", | |
| "75% 493002.000000 0.000490 1583.135000\n", | |
| "max 1279410.000000 0.001271 102185.000000\n", | |
| " market_cap price volume\n", | |
| "count 918.000000 918.000000 918.000000\n", | |
| "mean 243399.744009 0.070357 7228.748371\n", | |
| "std 295887.628383 0.119757 42801.901380\n", | |
| "min 3067.000000 0.007800 0.148981\n", | |
| "25% 72517.750000 0.017602 208.928000\n", | |
| "50% 121849.000000 0.022676 705.076500\n", | |
| "75% 220067.500000 0.080372 2921.460000\n", | |
| "max 1937272.000000 1.106470 1004630.000000\n", | |
| " market_cap price volume\n", | |
| "count 643.000000 643.000000 643.000000\n", | |
| "mean 35734.269051 0.001590 407.854032\n", | |
| "std 26083.047240 0.003034 3936.710370\n", | |
| "min 11090.000000 0.000183 0.000906\n", | |
| "25% 19573.000000 0.000327 1.401285\n", | |
| "50% 27740.000000 0.000552 11.412600\n", | |
| "75% 40760.500000 0.001316 52.221950\n", | |
| "max 229086.000000 0.029204 70845.900000\n", | |
| " market_cap price volume\n", | |
| "count 478.000000 478.000000 478.000000\n", | |
| "mean 3690553.315900 0.088325 14606.518610\n", | |
| "std 3121980.896916 0.073871 35723.480590\n", | |
| "min 0.000000 0.014251 0.644838\n", | |
| "25% 1296951.500000 0.029776 861.458500\n", | |
| "50% 2750544.000000 0.065041 3820.200000\n", | |
| "75% 5736123.000000 0.137813 13546.300000\n", | |
| "max 18370732.000000 0.437527 429340.000000\n", | |
| " market_cap price volume\n", | |
| "count 462.000000 462.000000 462.000000\n", | |
| "mean 5429.872294 0.002241 50.729211\n", | |
| "std 8118.302256 0.003373 323.489468\n", | |
| "min 622.000000 0.000256 0.000137\n", | |
| "25% 2071.500000 0.000854 0.063454\n", | |
| "50% 2778.500000 0.001145 0.976213\n", | |
| "75% 6021.250000 0.002481 9.459120\n", | |
| "max 102945.000000 0.042433 5648.230000\n", | |
| " market_cap price volume\n", | |
| "count 717.000000 717.000000 717.000000\n", | |
| "mean 33339.387029 0.005110 241.237558\n", | |
| "std 71214.327253 0.015298 1128.709460\n", | |
| "min 2492.000000 0.000123 0.000000\n", | |
| "25% 5267.000000 0.000250 4.263620\n", | |
| "50% 7941.000000 0.000417 15.370600\n", | |
| "75% 21253.000000 0.001581 91.581700\n", | |
| "max 555511.000000 0.134175 17232.800000\n", | |
| " market_cap price volume\n", | |
| "count 140 140.000000 140.000000\n", | |
| "mean 0 0.544371 321017.612143\n", | |
| "std 0 0.049047 335138.290367\n", | |
| "min 0 0.365624 14942.800000\n", | |
| "25% 0 0.528157 107734.000000\n", | |
| "50% 0 0.549208 209003.500000\n", | |
| "75% 0 0.573797 405666.250000\n", | |
| "max 0 0.619582 2262840.000000\n", | |
| " market_cap price volume\n", | |
| "count 91.000000 91.000000 91.000000\n", | |
| "mean 7000.956044 0.001433 79.600790\n", | |
| "std 2120.561901 0.000531 101.423098\n", | |
| "min 861.000000 0.000154 0.795726\n", | |
| "25% 5507.000000 0.001090 13.982100\n", | |
| "50% 6800.000000 0.001301 41.731600\n", | |
| "75% 8432.500000 0.001749 96.176050\n", | |
| "max 13724.000000 0.002765 604.522000\n", | |
| " market_cap price volume\n", | |
| "count 857.000000 857.000000 857.000000\n", | |
| "mean 425087.518086 0.000425 10968.015965\n", | |
| "std 163277.192708 0.000163 37637.516808\n", | |
| "min 129159.000000 0.000129 0.358163\n", | |
| "25% 283146.000000 0.000283 606.801000\n", | |
| "50% 405861.000000 0.000406 2202.030000\n", | |
| "75% 538121.000000 0.000538 7146.960000\n", | |
| "max 981873.000000 0.000982 594157.000000\n", | |
| " market_cap price volume\n", | |
| "count 686.000000 686.000000 686.000000\n", | |
| "mean 65089.534985 0.000061 628.347419\n", | |
| "std 26768.541182 0.000036 1848.208320\n", | |
| "min 14881.000000 0.000018 3.133670\n", | |
| "25% 46535.750000 0.000039 86.466500\n", | |
| "50% 61790.000000 0.000052 193.023000\n", | |
| "75% 78509.750000 0.000066 450.380250\n", | |
| "max 192198.000000 0.000259 23598.600000\n", | |
| " market_cap price volume\n", | |
| "count 661.000000 661.000000 661.000000\n", | |
| "mean 23500.090772 456.034514 789.127426\n", | |
| "std 9507.412321 206.126143 1150.576168\n", | |
| "min 9899.000000 196.698000 0.001890\n", | |
| "25% 15383.000000 281.355000 85.904700\n", | |
| "50% 20762.000000 415.655000 366.077000\n", | |
| "75% 32214.000000 615.859000 955.987000\n", | |
| "max 93177.000000 2200.320000 8285.820000\n", | |
| " market_cap price volume\n", | |
| "count 800.000000 800.000000 800.000000\n", | |
| "mean 136811.098750 0.159506 5566.061646\n", | |
| "std 77348.640749 0.057764 13476.456649\n", | |
| "min 19623.000000 0.042635 0.000005\n", | |
| "25% 73695.000000 0.149938 438.341250\n", | |
| "50% 114272.000000 0.156635 1896.630000\n", | |
| "75% 166895.000000 0.162168 5425.592500\n", | |
| "max 558491.000000 1.295250 155582.000000\n", | |
| " market_cap price volume\n", | |
| "count 482.000000 482.000000 482.000000\n", | |
| "mean 13717.848548 1317.850768 485.914100\n", | |
| "std 4524.940041 147.373601 924.305654\n", | |
| "min 0.000000 1013.490000 0.001863\n", | |
| "25% 10493.250000 1218.105000 12.723775\n", | |
| "50% 13030.000000 1299.565000 126.669500\n", | |
| "75% 15703.000000 1398.247500 402.498500\n", | |
| "max 29195.000000 2071.670000 5600.620000\n", | |
| " market_cap price volume\n", | |
| "count 937.000000 937.000000 937.000000\n", | |
| "mean 69168.699039 0.003873 665.848267\n", | |
| "std 39177.562602 0.002104 3432.659548\n", | |
| "min 3295.000000 0.000401 0.026029\n", | |
| "25% 43851.000000 0.002445 17.516600\n", | |
| "50% 59938.000000 0.003345 114.756000\n", | |
| "75% 86901.000000 0.004925 345.241000\n", | |
| "max 241216.000000 0.013417 84165.100000\n", | |
| " market_cap price volume\n", | |
| "count 775.000000 775.000000 775.000000\n", | |
| "mean 262697.301935 1.029807 7382.569660\n", | |
| "std 271830.589418 0.062198 34049.428760\n", | |
| "min 84201.000000 0.755158 0.007946\n", | |
| "25% 108436.000000 0.998398 444.892500\n", | |
| "50% 119757.000000 1.012460 1506.970000\n", | |
| "75% 354707.000000 1.048665 5832.130000\n", | |
| "max 1164510.000000 1.600200 712521.000000\n", | |
| " market_cap price volume\n", | |
| "count 568.00000 568.000000 568.000000\n", | |
| "mean 12571.87412 0.006352 122.871984\n", | |
| "std 18354.84397 0.009217 584.956041\n", | |
| "min 53.00000 0.000071 0.002286\n", | |
| "25% 3946.50000 0.002044 1.676723\n", | |
| "50% 8340.00000 0.004191 12.509700\n", | |
| "75% 15214.25000 0.007642 53.493550\n", | |
| "max 320009.00000 0.160737 10978.900000\n", | |
| " market_cap price volume\n", | |
| "count 100.00000 100.000000 100.000000\n", | |
| "mean 1029221.12000 5.566843 356.745296\n", | |
| "std 217081.45109 0.945543 799.621819\n", | |
| "min 0.00000 2.086450 0.029093\n", | |
| "25% 919016.25000 4.956358 19.577275\n", | |
| "50% 1052209.50000 5.602875 81.553400\n", | |
| "75% 1178039.75000 6.274857 254.363250\n", | |
| "max 1489442.00000 7.991780 4599.140000\n", | |
| " market_cap price volume\n", | |
| "count 1043.000000 1043.000000 1043.000000\n", | |
| "mean 20586.792905 0.005180 207.887745\n", | |
| "std 17763.518378 0.010986 404.309875\n", | |
| "min 5710.000000 0.000649 0.273572\n", | |
| "25% 11626.000000 0.001409 65.625500\n", | |
| "50% 16505.000000 0.002128 103.752000\n", | |
| "75% 22960.000000 0.003253 200.562500\n", | |
| "max 209802.000000 0.131215 9004.310000\n", | |
| " market_cap price volume\n", | |
| "count 755.000000 755.000000 755.000000\n", | |
| "mean 67657.206623 0.017263 687.049946\n", | |
| "std 38144.682383 0.009676 1326.677681\n", | |
| "min 8982.000000 0.002437 0.152491\n", | |
| "25% 44529.000000 0.011524 93.773100\n", | |
| "50% 62543.000000 0.015930 280.921000\n", | |
| "75% 81961.500000 0.020321 737.987500\n", | |
| "max 271950.000000 0.068699 20720.300000\n", | |
| " market_cap price volume\n", | |
| "count 1031.000000 1031.000000 1031.000000\n", | |
| "mean 3071554.765276 0.041001 107130.442561\n", | |
| "std 2670245.313796 0.035872 336173.904172\n", | |
| "min 221084.000000 0.002969 1184.770000\n", | |
| "25% 1921087.500000 0.025546 9903.040000\n", | |
| "50% 2272369.000000 0.030141 21664.400000\n", | |
| "75% 2758963.000000 0.036728 64227.900000\n", | |
| "max 19421594.000000 0.260653 5653870.000000\n", | |
| " market_cap price volume\n", | |
| "count 783.000000 783.000000 783.000000\n", | |
| "mean 376476.316731 0.095879 2760.688820\n", | |
| "std 323022.109632 0.079818 16839.752108\n", | |
| "min 0.000000 0.018499 0.036452\n", | |
| "25% 168022.000000 0.040837 118.274500\n", | |
| "50% 298425.000000 0.069142 431.400000\n", | |
| "75% 466637.000000 0.114498 1328.755000\n", | |
| "max 2948791.000000 0.754067 325588.000000\n", | |
| " market_cap price volume\n", | |
| "count 120.000000 120.000000 120.000000\n", | |
| "mean 554075.908333 0.118691 980.156120\n", | |
| "std 239856.324570 0.040187 2578.142509\n", | |
| "min 0.000000 0.062278 0.026790\n", | |
| "25% 454881.250000 0.088097 66.919800\n", | |
| "50% 538186.000000 0.106842 338.813000\n", | |
| "75% 667235.250000 0.129133 968.335750\n", | |
| "max 1058817.000000 0.225346 24036.100000\n", | |
| " market_cap price volume\n", | |
| "count 843.000000 843.000000 843.000000\n", | |
| "mean 121784.313167 0.000222 765.029697\n", | |
| "std 463789.899660 0.000811 2441.054868\n", | |
| "min 2598.000000 0.000005 0.038033\n", | |
| "25% 26795.000000 0.000057 16.048800\n", | |
| "50% 48577.000000 0.000090 103.666000\n", | |
| "75% 86783.500000 0.000159 489.894000\n", | |
| "max 9674104.000000 0.016917 34232.300000\n", | |
| " market_cap price volume\n", | |
| "count 357.000000 357.000000 357.000000\n", | |
| "mean 3046.747899 0.000024 20.123331\n", | |
| "std 12458.553161 0.000176 61.905649\n", | |
| "min 466.000000 0.000002 0.000162\n", | |
| "25% 840.000000 0.000003 0.480051\n", | |
| "50% 1297.000000 0.000005 2.277490\n", | |
| "75% 2078.000000 0.000008 9.254010\n", | |
| "max 211301.000000 0.003209 650.914000\n", | |
| " market_cap price volume\n", | |
| "count 755.000000 755.000000 755.000000\n", | |
| "mean 3476.290066 0.000873 22.831745\n", | |
| "std 3417.695332 0.000654 162.079243\n", | |
| "min 548.000000 0.000137 0.002354\n", | |
| "25% 1294.500000 0.000491 0.765733\n", | |
| "50% 2444.000000 0.000663 2.080680\n", | |
| "75% 4195.000000 0.000959 7.157105\n", | |
| "max 21683.000000 0.004405 2903.060000\n", | |
| " market_cap price volume\n", | |
| "count 944.000000 944.000000 944.000000\n", | |
| "mean 373923.796610 0.031656 13508.736668\n", | |
| "std 279114.373823 0.023484 35686.778212\n", | |
| "min 33601.000000 0.002855 0.186028\n", | |
| "25% 128592.750000 0.010967 677.574000\n", | |
| "50% 254796.000000 0.021691 2166.820000\n", | |
| "75% 602531.500000 0.050900 7456.782500\n", | |
| "max 1379077.000000 0.117045 371102.000000\n", | |
| " market_cap price volume\n", | |
| "count 1306.000000 1306.000000 1306.000000\n", | |
| "mean 148638.844564 0.004902 393.449389\n", | |
| "std 466640.984884 0.016603 1455.239232\n", | |
| "min 10262.000000 0.000211 0.000000\n", | |
| "25% 22657.750000 0.000546 6.046007\n", | |
| "50% 42193.000000 0.001078 31.254100\n", | |
| "75% 74187.250000 0.002210 143.540500\n", | |
| "max 7179855.000000 0.266322 22981.600000\n", | |
| " market_cap price volume\n", | |
| "count 551.000000 551.000000 551.000000\n", | |
| "mean 28874.294011 0.002246 240.422346\n", | |
| "std 52120.055375 0.003976 1033.132260\n", | |
| "min 833.000000 0.000077 0.036406\n", | |
| "25% 4282.000000 0.000396 1.277355\n", | |
| "50% 6266.000000 0.000578 11.587500\n", | |
| "75% 30755.500000 0.002829 108.251500\n", | |
| "max 469439.000000 0.043021 17734.600000\n", | |
| " market_cap price volume\n", | |
| "count 202.000000 202.000000 202.00000\n", | |
| "mean 588284.475248 74.093791 6051.31758\n", | |
| "std 388207.918536 202.538328 17723.43373\n", | |
| "min 0.000000 0.009071 6.62364\n", | |
| "25% 294851.750000 0.025557 422.81275\n", | |
| "50% 620552.000000 0.041966 1163.39000\n", | |
| "75% 788996.000000 0.050430 3702.70500\n", | |
| "max 1743279.000000 677.522000 169310.00000\n", | |
| " market_cap price volume\n", | |
| "count 821.000000 821.000000 821.000000\n", | |
| "mean 13144.004872 0.001840 592.119751\n", | |
| "std 6018.518976 0.000754 1405.130900\n", | |
| "min 2520.000000 0.000574 0.219689\n", | |
| "25% 8485.000000 0.001273 26.536800\n", | |
| "50% 12297.000000 0.001643 210.521000\n", | |
| "75% 16738.000000 0.002313 574.913000\n", | |
| "max 49221.000000 0.006100 20936.100000\n", | |
| " market_cap price volume\n", | |
| "count 587.000000 587.000000 587.000000\n", | |
| "mean 24931.517888 0.005626 317.612477\n", | |
| "std 19524.160527 0.004210 1466.597471\n", | |
| "min 125.000000 0.000159 0.311822\n", | |
| "25% 1713.000000 0.000896 13.362600\n", | |
| "50% 29494.000000 0.006367 52.074800\n", | |
| "75% 38517.000000 0.008201 158.107000\n", | |
| "max 75266.000000 0.017816 18964.600000\n", | |
| " market_cap price volume\n", | |
| "count 1292.000000 1292.000000 1292.000000\n", | |
| "mean 78061.325077 8.124597 583.124223\n", | |
| "std 161981.903563 18.504806 3594.204081\n", | |
| "min 1417.000000 0.057557 0.000000\n", | |
| "25% 11933.000000 0.631924 3.975932\n", | |
| "50% 21280.500000 1.348745 22.386950\n", | |
| "75% 42058.000000 3.560472 112.233500\n", | |
| "max 1372342.000000 170.223000 63071.600000\n", | |
| " market_cap price volume\n", | |
| "count 1.334000e+03 1334.000000 1.334000e+03\n", | |
| "mean 5.938531e+09 421.081567 3.939363e+07\n", | |
| "std 3.206256e+09 217.158865 4.432406e+07\n", | |
| "min 7.713681e+08 67.809000 0.000000e+00\n", | |
| "25% 3.440007e+09 241.862250 1.237470e+07\n", | |
| "50% 5.719755e+09 409.191000 2.504100e+07\n", | |
| "75% 8.060826e+09 592.925750 5.574882e+07\n", | |
| "max 1.864443e+10 1159.230000 3.534320e+08\n", | |
| " market_cap price volume\n", | |
| "count 900.000000 900.000000 900.000000\n", | |
| "mean 2122257.398889 1.715834 11995.564013\n", | |
| "std 1323655.577848 1.084853 37517.105901\n", | |
| "min 120116.000000 0.141961 59.225900\n", | |
| "25% 1196707.750000 0.973241 1226.545000\n", | |
| "50% 1632227.500000 1.314585 2730.785000\n", | |
| "75% 2557885.250000 2.096877 7023.870000\n", | |
| "max 8566591.000000 7.242810 434259.000000\n", | |
| " market_cap price volume\n", | |
| "count 352.000000 352.000000 352.000000\n", | |
| "mean 2360.775568 0.000010 125.012586\n", | |
| "std 2556.882861 0.000011 527.657874\n", | |
| "min 554.000000 0.000002 0.023546\n", | |
| "25% 1171.250000 0.000005 0.699693\n", | |
| "50% 1714.000000 0.000007 8.620230\n", | |
| "75% 2773.000000 0.000012 43.648600\n", | |
| "max 39780.000000 0.000162 7300.080000\n", | |
| " market_cap price volume\n", | |
| "count 767.000000 767.000000 767.000000\n", | |
| "mean 16673.022164 0.666385 402.674110\n", | |
| "std 35022.356131 1.548708 2342.703524\n", | |
| "min 0.000000 0.027209 0.000000\n", | |
| "25% 3849.000000 0.128071 0.991772\n", | |
| "50% 5402.000000 0.171634 5.576530\n", | |
| "75% 10854.000000 0.453885 27.036650\n", | |
| "max 341291.000000 18.668000 28198.900000\n", | |
| " market_cap price volume\n", | |
| "count 866.000000 866.000000 866.000000\n", | |
| "mean 135849.018476 0.107949 3663.709725\n", | |
| "std 145329.872641 0.122723 21255.808592\n", | |
| "min 9604.000000 0.010227 0.079962\n", | |
| "25% 31366.250000 0.031341 48.327475\n", | |
| "50% 62916.500000 0.064746 219.571500\n", | |
| "75% 237225.750000 0.138170 1457.892500\n", | |
| "max 825820.000000 0.832608 526238.000000\n", | |
| " market_cap price volume\n", | |
| "count 673.000000 673.000000 673.000000\n", | |
| "mean 1972.118871 0.000633 40.134843\n", | |
| "std 1576.300323 0.001036 243.781179\n", | |
| "min 425.000000 0.000087 0.011081\n", | |
| "25% 1009.000000 0.000210 0.769138\n", | |
| "50% 1241.000000 0.000317 2.517940\n", | |
| "75% 2235.000000 0.000720 15.650500\n", | |
| "max 9537.000000 0.008263 4147.280000\n", | |
| " market_cap price volume\n", | |
| "count 895.000000 895.000000 895.000000\n", | |
| "mean 18940878.071508 0.008134 232474.016358\n", | |
| "std 14823080.929645 0.007439 426580.978948\n", | |
| "min 7554456.000000 0.002977 9083.740000\n", | |
| "25% 10164280.500000 0.003993 63839.650000\n", | |
| "50% 12731953.000000 0.004970 119692.000000\n", | |
| "75% 19789531.500000 0.008639 235010.500000\n", | |
| "max 86084678.000000 0.043042 6302030.000000\n", | |
| " market_cap price volume\n", | |
| "count 304.000000 304.000000 304.000000\n", | |
| "mean 19345.529605 0.000290 749.139383\n", | |
| "std 14362.983494 0.000196 5299.016677\n", | |
| "min 0.000000 0.000049 0.000008\n", | |
| "25% 8490.500000 0.000162 1.487930\n", | |
| "50% 15635.000000 0.000232 16.992350\n", | |
| "75% 25878.250000 0.000353 125.343250\n", | |
| "max 61108.000000 0.001409 56320.200000\n", | |
| " market_cap price volume\n", | |
| "count 831.000000 8.310000e+02 831.000000\n", | |
| "mean 6595.855596 7.168352e-08 13.963590\n", | |
| "std 2850.353215 3.439653e-08 33.874256\n", | |
| "min 0.000000 6.833780e-09 0.000143\n", | |
| "25% 4671.000000 5.361430e-08 0.557785\n", | |
| "50% 6434.000000 6.733200e-08 3.649650\n", | |
| "75% 8111.000000 8.425090e-08 12.453850\n", | |
| "max 32712.000000 5.972100e-07 373.620000\n", | |
| " market_cap price volume\n", | |
| "count 854.000000 854.000000 854.000000\n", | |
| "mean 313775.564403 0.000344 11477.363594\n", | |
| "std 338277.258102 0.000354 107524.706733\n", | |
| "min 0.000000 0.000037 4.610320\n", | |
| "25% 92447.750000 0.000140 502.602250\n", | |
| "50% 194377.500000 0.000249 1280.110000\n", | |
| "75% 313963.250000 0.000448 3933.240000\n", | |
| "max 1698192.000000 0.004397 2839000.000000\n", | |
| " market_cap price volume\n", | |
| "count 619.000000 619.000000 619.000000\n", | |
| "mean 1995.767367 0.000756 10.152602\n", | |
| "std 1735.835347 0.000571 63.028860\n", | |
| "min 84.000000 0.000042 0.000141\n", | |
| "25% 1079.500000 0.000427 0.161185\n", | |
| "50% 1700.000000 0.000632 0.859351\n", | |
| "75% 2267.000000 0.000891 3.387075\n", | |
| "max 22155.000000 0.007274 1096.990000\n", | |
| " market_cap price volume\n", | |
| "count 769.000000 769.000000 769.000000\n", | |
| "mean 76132.328999 0.101116 4946.222253\n", | |
| "std 35321.196109 0.064564 4588.679459\n", | |
| "min 16267.000000 0.025177 0.975339\n", | |
| "25% 44144.000000 0.065666 413.764000\n", | |
| "50% 74372.000000 0.087522 4409.890000\n", | |
| "75% 106358.000000 0.122994 8154.970000\n", | |
| "max 211043.000000 0.711306 25823.300000\n", | |
| " market_cap price volume\n", | |
| "count 662.000000 662.000000 662.000000\n", | |
| "mean 75385.085347 0.264186 1323.272468\n", | |
| "std 185353.446117 0.781166 5845.055768\n", | |
| "min 0.000000 0.000224 0.000237\n", | |
| "25% 1413.500000 0.001265 7.838695\n", | |
| "50% 4718.000000 0.005205 46.339000\n", | |
| "75% 62791.000000 0.096846 366.155500\n", | |
| "max 1140820.000000 4.805710 87672.500000\n", | |
| " market_cap price volume\n", | |
| "count 905.000000 9.050000e+02 9.050000e+02\n", | |
| "mean 8093.695028 8.808280e-08 1.617363e+01\n", | |
| "std 9553.040180 9.998015e-08 4.147582e+01\n", | |
| "min 554.000000 6.443050e-09 1.050120e-07\n", | |
| "25% 4307.000000 4.434900e-08 1.040550e+00\n", | |
| "50% 6451.000000 6.860940e-08 3.241350e+00\n", | |
| "75% 9805.000000 1.025870e-07 1.205130e+01\n", | |
| "max 236255.000000 2.335270e-06 5.458470e+02\n", | |
| " market_cap price volume\n", | |
| "count 556.000000 556.000000 556.000000\n", | |
| "mean 74369.725719 0.047785 6289.046601\n", | |
| "std 163542.881176 0.103885 35765.270489\n", | |
| "min 698.000000 0.000432 0.000376\n", | |
| "25% 2671.000000 0.001651 1.380430\n", | |
| "50% 10201.500000 0.006305 17.279150\n", | |
| "75% 39792.500000 0.024653 223.806500\n", | |
| "max 1053455.000000 0.657907 631084.000000\n", | |
| " market_cap price volume\n", | |
| "count 883.000000 883.000000 883.000000\n", | |
| "mean 297458.596829 0.003818 5599.041207\n", | |
| "std 395151.936732 0.004387 26311.039410\n", | |
| "min 20926.000000 0.000313 1.527700\n", | |
| "25% 172407.500000 0.002245 290.012000\n", | |
| "50% 218173.000000 0.002874 716.542000\n", | |
| "75% 303786.000000 0.003954 2575.220000\n", | |
| "max 5127602.000000 0.055542 466127.000000\n", | |
| " market_cap price volume\n", | |
| "count 973.000000 973.000000 973.000000\n", | |
| "mean 46772.167523 0.005656 246.343483\n", | |
| "std 34229.104156 0.010268 1071.201894\n", | |
| "min 1877.000000 0.000085 0.000000\n", | |
| "25% 22180.000000 0.000393 11.138000\n", | |
| "50% 35006.000000 0.002329 50.671600\n", | |
| "75% 67898.000000 0.005072 136.423000\n", | |
| "max 245591.000000 0.075521 19949.000000\n", | |
| " market_cap price volume\n", | |
| "count 889.000000 889.000000 889.000000\n", | |
| "mean 8702.869516 0.002367 185.092450\n", | |
| "std 9595.238472 0.004224 579.088621\n", | |
| "min 466.000000 0.000015 0.001496\n", | |
| "25% 1961.000000 0.000314 4.497770\n", | |
| "50% 4330.000000 0.000829 30.423400\n", | |
| "75% 12082.000000 0.002565 168.173000\n", | |
| "max 57731.000000 0.050145 9401.030000\n", | |
| " market_cap price volume\n", | |
| "count 348.000000 348.000000 348.000000\n", | |
| "mean 4393.221264 0.000012 168.109035\n", | |
| "std 3813.305885 0.000032 1334.083721\n", | |
| "min 932.000000 0.000002 0.003100\n", | |
| "25% 2321.750000 0.000005 0.222893\n", | |
| "50% 3644.500000 0.000007 1.147845\n", | |
| "75% 5562.500000 0.000011 12.197800\n", | |
| "max 38048.000000 0.000434 21863.900000\n", | |
| " market_cap price volume\n", | |
| "count 940.000000 940.000000 940.000000\n", | |
| "mean 41735.371277 0.010065 487.299062\n", | |
| "std 26281.485102 0.005672 1625.185020\n", | |
| "min 4134.000000 0.001975 0.002860\n", | |
| "25% 22208.250000 0.006167 32.089950\n", | |
| "50% 35738.000000 0.008702 125.411500\n", | |
| "75% 54737.500000 0.012909 394.507250\n", | |
| "max 231998.000000 0.062536 27143.100000\n", | |
| " market_cap price volume\n", | |
| "count 385.000000 385.000000 385.000000\n", | |
| "mean 790824.064935 0.006777 150.560230\n", | |
| "std 581016.767902 0.005534 379.288775\n", | |
| "min 789.000000 0.000188 0.013126\n", | |
| "25% 331397.000000 0.003270 0.657167\n", | |
| "50% 727138.000000 0.005911 14.210500\n", | |
| "75% 976051.000000 0.009231 103.478000\n", | |
| "max 2823085.000000 0.035690 3480.290000\n", | |
| " market_cap price volume\n", | |
| "count 966.000000 966.000000 9.660000e+02\n", | |
| "mean 31673.717391 0.000193 9.043064e+01\n", | |
| "std 49041.928398 0.000149 1.942203e+02\n", | |
| "min 3312.000000 0.000037 1.291140e-10\n", | |
| "25% 9869.500000 0.000105 1.641915e+01\n", | |
| "50% 22594.000000 0.000162 3.487005e+01\n", | |
| "75% 36025.750000 0.000228 8.500275e+01\n", | |
| "max 582846.000000 0.001280 2.559430e+03\n", | |
| " market_cap price volume\n", | |
| "count 536.000000 536.000000 536.000000\n", | |
| "mean 118.222015 0.001397 61.725153\n", | |
| "std 432.937423 0.009208 539.260003\n", | |
| "min 1.000000 0.000013 0.000123\n", | |
| "25% 36.000000 0.000332 0.610413\n", | |
| "50% 56.000000 0.000511 2.376635\n", | |
| "75% 105.000000 0.000950 9.656900\n", | |
| "max 8595.000000 0.197653 9303.800000\n", | |
| " market_cap price volume\n", | |
| "count 776.000000 776.000000 776.000000\n", | |
| "mean 23237.832474 0.001350 514.672423\n", | |
| "std 24421.683905 0.001615 4955.960474\n", | |
| "min 1479.000000 0.000077 0.000005\n", | |
| "25% 3273.750000 0.000183 2.972802\n", | |
| "50% 13324.500000 0.000855 10.577550\n", | |
| "75% 35713.500000 0.001774 55.138100\n", | |
| "max 149171.000000 0.010549 125691.000000\n", | |
| " market_cap price volume\n", | |
| "count 858.000000 858.000000 858.000000\n", | |
| "mean 1106428.474359 1.024165 15318.977987\n", | |
| "std 594911.051158 0.613070 50846.840346\n", | |
| "min 7163.000000 0.050329 0.048814\n", | |
| "25% 819808.000000 0.674310 4733.827500\n", | |
| "50% 1181039.000000 0.827107 8112.065000\n", | |
| "75% 1412174.000000 1.327787 14996.950000\n", | |
| "max 2992401.000000 3.631690 1258350.000000\n", | |
| " market_cap price volume\n", | |
| "count 748.000000 748.000000 748.000000\n", | |
| "mean 345430.506684 0.056483 674.392485\n", | |
| "std 619165.115086 0.110783 2271.968005\n", | |
| "min 3130.000000 0.000241 0.000000\n", | |
| "25% 11152.250000 0.000889 5.053813\n", | |
| "50% 74217.000000 0.009047 43.654150\n", | |
| "75% 330811.250000 0.045555 403.738000\n", | |
| "max 3337038.000000 0.639200 39229.300000\n", | |
| " market_cap price volume\n", | |
| "count 361.000000 361.000000 361.000000\n", | |
| "mean 2707.227147 0.000270 482.443383\n", | |
| "std 3636.342621 0.000363 7172.224537\n", | |
| "min 436.000000 0.000044 0.000131\n", | |
| "25% 1684.000000 0.000168 0.078416\n", | |
| "50% 2047.000000 0.000204 0.995468\n", | |
| "75% 2865.000000 0.000286 9.368080\n", | |
| "max 53657.000000 0.005357 134574.000000\n", | |
| " market_cap price volume\n", | |
| "count 757.000000 757.000000 757.000000\n", | |
| "mean 204987.331572 0.070888 420.318081\n", | |
| "std 156559.143330 0.053810 1095.065682\n", | |
| "min 0.000000 0.010327 0.022911\n", | |
| "25% 97495.000000 0.032740 12.057100\n", | |
| "50% 148741.000000 0.050441 64.633500\n", | |
| "75% 279562.000000 0.100397 283.811000\n", | |
| "max 1001238.000000 0.333746 11983.400000\n", | |
| " market_cap price volume\n", | |
| "count 469.000000 469.000000 469.000000\n", | |
| "mean 1039707.628998 0.902215 510.939190\n", | |
| "std 965530.788305 0.192295 3187.577339\n", | |
| "min 0.000000 0.223758 0.011571\n", | |
| "25% 0.000000 0.824435 6.733200\n", | |
| "50% 1127367.000000 0.955285 59.419400\n", | |
| "75% 1179320.000000 0.987323 232.427000\n", | |
| "max 5493227.000000 1.919300 60092.000000\n", | |
| " market_cap price volume\n", | |
| "count 669.000000 6.690000e+02 669.000000\n", | |
| "mean 88109.442451 3.185482e-07 573.900542\n", | |
| "std 135457.848339 6.749535e-07 3993.397225\n", | |
| "min 9831.000000 4.323890e-08 0.000000\n", | |
| "25% 35066.000000 1.127330e-07 2.793690\n", | |
| "50% 45605.000000 1.465640e-07 18.788500\n", | |
| "75% 69205.000000 2.290190e-07 119.645000\n", | |
| "max 1120225.000000 1.166830e-05 85875.500000\n", | |
| " market_cap price volume\n", | |
| "count 690.000000 690.000000 690.000000\n", | |
| "mean 52003.900000 0.000050 867.415645\n", | |
| "std 97553.986193 0.000096 5065.054550\n", | |
| "min 8149.000000 0.000008 0.000667\n", | |
| "25% 17133.000000 0.000016 3.501330\n", | |
| "50% 22278.000000 0.000021 28.768400\n", | |
| "75% 33049.000000 0.000031 106.512500\n", | |
| "max 1013946.000000 0.001001 65092.100000\n", | |
| " market_cap price volume\n", | |
| "count 678.000000 678.000000 678.000000\n", | |
| "mean 11780.244838 0.000997 249.718346\n", | |
| "std 7004.253429 0.000721 1839.134986\n", | |
| "min 2026.000000 0.000088 0.059849\n", | |
| "25% 6346.750000 0.000427 10.953575\n", | |
| "50% 10119.000000 0.000778 36.068450\n", | |
| "75% 16075.750000 0.001533 113.930500\n", | |
| "max 54791.000000 0.005652 31769.100000\n", | |
| " market_cap price volume\n", | |
| "count 536.000000 536.000000 536.000000\n", | |
| "mean 10424.253731 0.000100 433.869015\n", | |
| "std 3700.432219 0.000036 2774.243527\n", | |
| "min 3142.000000 0.000030 0.000054\n", | |
| "25% 8090.750000 0.000078 0.486035\n", | |
| "50% 10143.000000 0.000098 3.227815\n", | |
| "75% 12036.250000 0.000116 25.333475\n", | |
| "max 39391.000000 0.000385 27455.100000\n", | |
| " market_cap price volume\n", | |
| "count 867.000000 8.670000e+02 8.670000e+02\n", | |
| "mean 10000.735871 3.310028e-06 7.265296e+01\n", | |
| "std 25499.275088 5.753643e-06 5.742148e+02\n", | |
| "min 0.000000 1.253150e-10 4.019570e-08\n", | |
| "25% 3107.000000 3.731020e-08 1.664970e-01\n", | |
| "50% 5358.000000 7.961610e-08 1.612890e+00\n", | |
| "75% 8538.000000 5.737965e-06 1.208150e+01\n", | |
| "max 324336.000000 3.876880e-05 8.835560e+03\n", | |
| " market_cap price volume\n", | |
| "count 77.000000 77.000000 77.000000\n", | |
| "mean 2830.305195 0.084226 595.259064\n", | |
| "std 4132.525092 0.122980 1729.184423\n", | |
| "min 292.000000 0.008691 0.084216\n", | |
| "25% 431.000000 0.012847 3.880040\n", | |
| "50% 1214.000000 0.036140 26.216600\n", | |
| "75% 3203.000000 0.095310 278.321000\n", | |
| "max 23619.000000 0.702927 11069.400000\n", | |
| " market_cap price volume\n", | |
| "count 373.000000 373.000000 373.000000\n", | |
| "mean 2895.679625 0.000482 160.038222\n", | |
| "std 3238.650109 0.000540 1256.857898\n", | |
| "min 180.000000 0.000030 0.000189\n", | |
| "25% 1349.000000 0.000225 0.079960\n", | |
| "50% 2494.000000 0.000416 1.218040\n", | |
| "75% 3148.000000 0.000524 11.756400\n", | |
| "max 31311.000000 0.005217 17371.700000\n", | |
| " market_cap price volume\n", | |
| "count 365.000000 365.000000 365.000000\n", | |
| "mean 10144.298630 0.000338 283.896260\n", | |
| "std 12297.644005 0.000410 1361.443638\n", | |
| "min 1521.000000 0.000051 0.000048\n", | |
| "25% 3947.000000 0.000131 0.414444\n", | |
| "50% 6726.000000 0.000224 5.384520\n", | |
| "75% 10536.000000 0.000351 44.272000\n", | |
| "max 119395.000000 0.003980 15832.100000\n", | |
| " market_cap price volume\n", | |
| "count 295.000000 295.000000 295.000000\n", | |
| "mean 70710.338983 0.122670 6566.880276\n", | |
| "std 92674.258687 0.170281 28356.907211\n", | |
| "min 0.000000 0.001933 0.036473\n", | |
| "25% 9425.500000 0.012361 29.681100\n", | |
| "50% 21487.000000 0.032195 233.830000\n", | |
| "75% 114738.500000 0.191130 1436.730000\n", | |
| "max 754407.000000 1.404800 273775.000000\n", | |
| " market_cap price volume\n", | |
| "count 352.000000 352.000000 352.000000\n", | |
| "mean 143404.318182 0.012046 1208.292625\n", | |
| "std 90383.393855 0.007334 4609.157943\n", | |
| "min 0.000000 0.003442 0.002166\n", | |
| "25% 95972.750000 0.007909 56.804975\n", | |
| "50% 122162.000000 0.010123 194.843500\n", | |
| "75% 159370.500000 0.013337 705.053250\n", | |
| "max 730946.000000 0.059014 47603.200000\n", | |
| " market_cap price volume\n", | |
| "count 352.000000 352.000000 352.000000\n", | |
| "mean 143404.318182 0.012046 1208.292625\n", | |
| "std 90383.393855 0.007334 4609.157943\n", | |
| "min 0.000000 0.003442 0.002166\n", | |
| "25% 95972.750000 0.007909 56.804975\n", | |
| "50% 122162.000000 0.010123 194.843500\n", | |
| "75% 159370.500000 0.013337 705.053250\n", | |
| "max 730946.000000 0.059014 47603.200000\n", | |
| " market_cap price volume\n", | |
| "count 510.000000 510.000000 510.000000\n", | |
| "mean 352071.586275 0.018067 10818.900504\n", | |
| "std 664327.744988 0.028180 14465.502404\n", | |
| "min 0.000000 0.000030 0.898951\n", | |
| "25% 0.000000 0.001782 695.439000\n", | |
| "50% 2868.000000 0.005006 5405.230000\n", | |
| "75% 313043.000000 0.017643 15860.425000\n", | |
| "max 2548051.000000 0.113899 103546.000000\n", | |
| " market_cap price volume\n", | |
| "count 961.000000 961.000000 9.610000e+02\n", | |
| "mean 4985.235172 0.106764 5.990755e+03\n", | |
| "std 14868.939183 0.362273 4.808476e+04\n", | |
| "min 64.000000 0.000813 1.141650e-10\n", | |
| "25% 116.000000 0.001465 7.268120e-09\n", | |
| "50% 671.000000 0.008471 1.881920e+00\n", | |
| "75% 1090.000000 0.013752 2.605690e+01\n", | |
| "max 102138.000000 2.490100 9.083720e+05\n", | |
| " market_cap price volume\n", | |
| "count 590.000000 590.000000 590.000000\n", | |
| "mean 22779.527119 0.003082 163.558272\n", | |
| "std 47642.516571 0.004557 475.886163\n", | |
| "min 1137.000000 0.000169 0.025736\n", | |
| "25% 4163.750000 0.000714 2.684895\n", | |
| "50% 8623.500000 0.001498 17.886250\n", | |
| "75% 17184.500000 0.003218 84.960000\n", | |
| "max 312067.000000 0.028856 4869.330000\n", | |
| " market_cap price volume\n", | |
| "count 889.000000 889.000000 889.000000\n", | |
| "mean 75584.092801 0.021458 14559.704639\n", | |
| "std 182553.253910 0.073921 177002.493880\n", | |
| "min 7676.000000 0.001273 0.000444\n", | |
| "25% 23869.000000 0.003974 12.140800\n", | |
| "50% 32661.000000 0.005492 80.656300\n", | |
| "75% 45547.000000 0.007880 321.335000\n", | |
| "max 2735346.000000 1.221790 4553860.000000\n", | |
| " market_cap price volume\n", | |
| "count 1151.000000 1151.000000 1151.000000\n", | |
| "mean 216285.223284 0.007285 738.299400\n", | |
| "std 281066.213196 0.009107 2356.010174\n", | |
| "min 2103.000000 0.000265 0.000000\n", | |
| "25% 20769.000000 0.000812 11.310800\n", | |
| "50% 56782.000000 0.003345 71.132600\n", | |
| "75% 299692.500000 0.010709 405.183000\n", | |
| "max 1411615.000000 0.072914 45063.700000\n", | |
| " market_cap price volume\n", | |
| "count 650.000000 6.500000e+02 650.000000\n", | |
| "mean 34595.880000 5.044658e-07 248.147780\n", | |
| "std 42420.846893 9.553112e-07 1229.505288\n", | |
| "min 4494.000000 5.076480e-08 0.000002\n", | |
| "25% 16681.500000 1.884132e-07 0.491638\n", | |
| "50% 23571.000000 2.674260e-07 8.276735\n", | |
| "75% 34431.750000 4.551825e-07 87.520775\n", | |
| "max 306521.000000 7.134180e-06 19246.200000\n", | |
| " market_cap price volume\n", | |
| "count 947.000000 947.000000 947.000000\n", | |
| "mean 442852.909187 0.028870 2655.994122\n", | |
| "std 398290.960946 0.049381 33348.705011\n", | |
| "min 8466.000000 0.005072 0.770966\n", | |
| "25% 207295.000000 0.010499 52.047900\n", | |
| "50% 294684.000000 0.015253 169.540000\n", | |
| "75% 567813.000000 0.031279 700.809500\n", | |
| "max 2414003.000000 0.798563 975794.000000\n", | |
| " market_cap price volume\n", | |
| "count 573.000000 573.000000 573.000000\n", | |
| "mean 7354.266143 0.001160 380.127360\n", | |
| "std 5898.033089 0.000961 2310.024981\n", | |
| "min 1424.000000 0.000224 0.003135\n", | |
| "25% 4112.000000 0.000646 80.284900\n", | |
| "50% 6531.000000 0.001026 111.951000\n", | |
| "75% 8474.000000 0.001331 144.397000\n", | |
| "max 63886.000000 0.011440 40646.000000\n", | |
| " market_cap price volume\n", | |
| "count 391.000000 391.000000 391.000000\n", | |
| "mean 45587.094629 0.013157 385.055940\n", | |
| "std 53253.185375 0.015265 1201.775640\n", | |
| "min 0.000000 0.000519 0.135493\n", | |
| "25% 7066.000000 0.001770 3.189740\n", | |
| "50% 8796.000000 0.002515 8.198260\n", | |
| "75% 86650.000000 0.025753 320.060500\n", | |
| "max 204987.000000 0.088461 18125.300000\n", | |
| " market_cap price volume\n", | |
| "count 2.230000e+02 223.000000 223.000000\n", | |
| "mean 3.258828e+07 0.113940 894450.113779\n", | |
| "std 5.893465e+07 0.025057 2188887.781065\n", | |
| "min 0.000000e+00 0.020009 11.487300\n", | |
| "25% 0.000000e+00 0.099575 10081.100000\n", | |
| "50% 0.000000e+00 0.113466 37752.300000\n", | |
| "75% 0.000000e+00 0.126059 1152250.000000\n", | |
| "max 2.201322e+08 0.199687 21645300.000000\n", | |
| " market_cap price volume\n", | |
| "count 1.043000e+03 1043.000000 1043.000000\n", | |
| "mean 2.931284e+07 4.933073 408008.223413\n", | |
| "std 2.308894e+07 3.422828 752215.629200\n", | |
| "min 7.025370e+05 0.213899 7484.650000\n", | |
| "25% 1.342470e+07 2.392400 62825.750000\n", | |
| "50% 1.762291e+07 3.307820 147854.000000\n", | |
| "75% 4.476944e+07 7.341570 401770.500000\n", | |
| "max 1.131210e+08 16.145300 7584170.000000\n", | |
| " market_cap price volume\n", | |
| "count 505.000000 505.000000 505.000000\n", | |
| "mean 6331.481188 0.002905 20.916112\n", | |
| "std 9321.171207 0.005095 62.362657\n", | |
| "min 0.000000 0.000273 0.000000\n", | |
| "25% 0.000000 0.000666 0.115839\n", | |
| "50% 2333.000000 0.001178 4.392800\n", | |
| "75% 8334.000000 0.003803 17.247700\n", | |
| "max 57764.000000 0.074240 1029.390000\n", | |
| " market_cap price volume\n", | |
| "count 330.000000 330.000000 330.000000\n", | |
| "mean 2678531.548485 1.389137 25065.900212\n", | |
| "std 916307.975612 0.529650 24681.378172\n", | |
| "min 0.000000 0.422266 2759.420000\n", | |
| "25% 2105021.000000 0.946476 10856.100000\n", | |
| "50% 2581815.000000 1.505310 17860.250000\n", | |
| "75% 3557417.250000 1.723870 28832.375000\n", | |
| "max 4410607.000000 2.724940 185818.000000\n", | |
| " market_cap price volume\n", | |
| "count 486.000000 486.000000 486.000000\n", | |
| "mean 48168.918724 0.213129 130.923593\n", | |
| "std 24459.136234 0.107231 324.904525\n", | |
| "min 0.000000 0.032943 0.001130\n", | |
| "25% 32508.500000 0.140377 4.169485\n", | |
| "50% 45287.500000 0.203936 24.707650\n", | |
| "75% 59967.500000 0.270221 106.005500\n", | |
| "max 141967.000000 0.612639 3741.410000\n", | |
| " market_cap price volume\n", | |
| "count 758.000000 758.000000 758.000000\n", | |
| "mean 801233.432718 0.801233 369.123636\n", | |
| "std 431125.662146 0.431126 1368.277874\n", | |
| "min 186379.000000 0.186379 0.274639\n", | |
| "25% 423992.250000 0.423992 23.773075\n", | |
| "50% 739341.500000 0.739342 93.263900\n", | |
| "75% 1102717.500000 1.102718 348.099250\n", | |
| "max 2367470.000000 2.367470 33494.300000\n", | |
| " market_cap price volume\n", | |
| "count 1052.000000 1052.000000 1052.000000\n", | |
| "mean 984283.070342 0.000210 28028.246942\n", | |
| "std 908185.746238 0.000138 104819.075359\n", | |
| "min 87778.000000 0.000036 116.722000\n", | |
| "25% 248505.000000 0.000103 1694.087500\n", | |
| "50% 480303.500000 0.000198 4898.985000\n", | |
| "75% 1850502.750000 0.000297 19767.450000\n", | |
| "max 4171255.000000 0.001489 1943930.000000\n", | |
| " market_cap price volume\n", | |
| "count 1279.000000 1279.000000 1279.000000\n", | |
| "mean 482651.006255 0.030769 3846.487317\n", | |
| "std 759465.731339 0.064420 12234.276037\n", | |
| "min 58000.000000 0.002933 0.000000\n", | |
| "25% 183701.000000 0.009121 230.719500\n", | |
| "50% 264265.000000 0.012129 802.465000\n", | |
| "75% 437946.500000 0.019758 2685.695000\n", | |
| "max 7998785.000000 0.698757 288483.000000\n", | |
| " market_cap price volume\n", | |
| "count 263.000000 263.000000 263.000000\n", | |
| "mean 19941297.802281 11.414123 58780.156868\n", | |
| "std 6171813.505485 4.539995 98916.395907\n", | |
| "min 0.000000 6.082580 64.442800\n", | |
| "25% 18416910.000000 9.403050 15472.150000\n", | |
| "50% 20185200.000000 10.197500 32152.200000\n", | |
| "75% 22117900.000000 11.567450 61106.250000\n", | |
| "max 39497800.000000 33.993600 1062910.000000\n", | |
| " market_cap price volume\n", | |
| "count 357.000000 357.000000 357.000000\n", | |
| "mean 142815.067227 0.144387 216.112704\n", | |
| "std 123176.433643 0.124915 985.952559\n", | |
| "min 0.000000 0.003542 0.000674\n", | |
| "25% 41364.000000 0.041377 1.068270\n", | |
| "50% 123492.000000 0.123709 8.078080\n", | |
| "75% 200301.000000 0.202472 60.104200\n", | |
| "max 586685.000000 0.586685 10175.500000\n", | |
| " market_cap price volume\n", | |
| "count 952.000000 9.520000e+02 952.000000\n", | |
| "mean 120406.527311 5.542906e-06 1520.990709\n", | |
| "std 133980.931791 6.162145e-06 6474.866140\n", | |
| "min 1131.000000 5.222850e-08 0.000053\n", | |
| "25% 14364.500000 6.622145e-07 11.527150\n", | |
| "50% 48143.000000 2.214515e-06 118.732000\n", | |
| "75% 248954.500000 1.145148e-05 1059.517500\n", | |
| "max 548888.000000 2.524790e-05 146405.000000\n", | |
| " market_cap price volume\n", | |
| "count 970.000000 9.700000e+02 970.000000\n", | |
| "mean 53262.373196 2.335704e-07 796.000140\n", | |
| "std 93155.526553 5.991232e-07 6460.961642\n", | |
| "min 3595.000000 7.229220e-09 0.000024\n", | |
| "25% 21652.000000 6.429917e-08 11.000375\n", | |
| "50% 31779.500000 9.325200e-08 40.781100\n", | |
| "75% 54854.250000 1.574612e-07 169.553000\n", | |
| "max 2035700.000000 7.368890e-06 147693.000000\n", | |
| " market_cap price volume\n", | |
| "count 1089.000000 1089.000000 1089.000000\n", | |
| "mean 288868.898072 0.281425 993.639430\n", | |
| "std 184093.143474 0.238379 1673.418922\n", | |
| "min 28894.000000 0.055845 0.000000\n", | |
| "25% 114472.000000 0.159197 235.126000\n", | |
| "50% 289671.000000 0.254490 501.776000\n", | |
| "75% 464439.000000 0.309199 1070.770000\n", | |
| "max 734332.000000 2.277570 20331.600000\n", | |
| " market_cap price volume\n", | |
| "count 1104.000000 1104.000000 1104.000000\n", | |
| "mean 22793680.970109 0.000282 502727.450181\n", | |
| "std 11622222.884578 0.000259 1080966.426907\n", | |
| "min 1619159.000000 0.000087 0.000000\n", | |
| "25% 14232296.500000 0.000148 98943.825000\n", | |
| "50% 22412419.000000 0.000222 203771.000000\n", | |
| "75% 25351511.250000 0.000268 440666.250000\n", | |
| "max 91985567.000000 0.001886 15755000.000000\n", | |
| " market_cap price volume\n", | |
| "count 961.000000 961.000000 961.000000\n", | |
| "mean 25978.127992 0.000317 700.466237\n", | |
| "std 19301.962728 0.000715 4489.857481\n", | |
| "min 387.000000 0.000006 0.128977\n", | |
| "25% 14877.000000 0.000114 13.674800\n", | |
| "50% 23118.000000 0.000179 57.880400\n", | |
| "75% 30686.000000 0.000261 194.727000\n", | |
| "max 217462.000000 0.015304 89957.700000\n", | |
| " market_cap price volume\n", | |
| "count 727.000000 727.000000 727.000000\n", | |
| "mean 2059.290234 0.002008 83.652960\n", | |
| "std 3526.481709 0.007872 486.815417\n", | |
| "min 0.000000 0.000019 0.004210\n", | |
| "25% 272.000000 0.000075 1.318270\n", | |
| "50% 683.000000 0.000121 4.919320\n", | |
| "75% 2695.500000 0.000220 15.695300\n", | |
| "max 61513.000000 0.149437 7890.900000\n", | |
| " market_cap price volume\n", | |
| "count 444.000000 444.000000 444.000000\n", | |
| "mean 13513.270270 0.003284 154.735233\n", | |
| "std 8398.505918 0.002130 480.018703\n", | |
| "min 1294.000000 0.000301 0.000151\n", | |
| "25% 8988.000000 0.002091 0.355173\n", | |
| "50% 11319.500000 0.002645 3.502885\n", | |
| "75% 16780.000000 0.004130 42.390275\n", | |
| "max 50378.000000 0.011693 3956.720000\n", | |
| " market_cap price volume\n", | |
| "count 386.000000 386.000000 386.000000\n", | |
| "mean 12732.437824 0.002273 272.671543\n", | |
| "std 11854.854797 0.002140 490.403919\n", | |
| "min 1782.000000 0.000221 0.044735\n", | |
| "25% 5148.500000 0.000920 58.268925\n", | |
| "50% 8362.000000 0.001413 106.016500\n", | |
| "75% 16193.750000 0.003167 273.166500\n", | |
| "max 70306.000000 0.013643 4781.100000\n", | |
| " market_cap price volume\n", | |
| "count 314.000000 314.000000 314.000000\n", | |
| "mean 3384.894904 0.002976 397.665411\n", | |
| "std 5510.647039 0.005503 3199.649333\n", | |
| "min 0.000000 0.000295 0.000215\n", | |
| "25% 1226.250000 0.000989 0.124687\n", | |
| "50% 1560.000000 0.001248 1.453975\n", | |
| "75% 2781.000000 0.002254 8.187047\n", | |
| "max 66695.000000 0.058432 39675.800000\n", | |
| " market_cap price volume\n", | |
| "count 926.000000 926.000000 926.000000\n", | |
| "mean 69649.047516 0.038976 493.055081\n", | |
| "std 179950.989515 0.122311 1424.932487\n", | |
| "min 1108.000000 0.000647 0.000000\n", | |
| "25% 8203.500000 0.001716 12.803575\n", | |
| "50% 17889.000000 0.003465 62.589200\n", | |
| "75% 38411.250000 0.014928 317.803250\n", | |
| "max 1388591.000000 1.069010 17005.800000\n", | |
| " market_cap price volume\n", | |
| "count 1320.000000 1320.000000 1320.000000\n", | |
| "mean 493354.201515 0.000078 2030.746781\n", | |
| "std 916456.453784 0.000154 12846.071723\n", | |
| "min 12998.000000 0.000001 0.000000\n", | |
| "25% 96668.500000 0.000010 7.090962\n", | |
| "50% 179319.000000 0.000018 91.746000\n", | |
| "75% 380796.000000 0.000064 453.811750\n", | |
| "max 9315387.000000 0.001580 304481.000000\n", | |
| " market_cap price volume\n", | |
| "count 1092.000000 1092.000000 1092.000000\n", | |
| "mean 645080.665751 0.000153 29155.748908\n", | |
| "std 692713.520023 0.000435 108885.617070\n", | |
| "min 23792.000000 0.000004 1.223320\n", | |
| "25% 71571.250000 0.000016 447.125250\n", | |
| "50% 256065.000000 0.000040 2677.375000\n", | |
| "75% 1228132.750000 0.000135 16220.450000\n", | |
| "max 4665205.000000 0.005919 2055280.000000\n", | |
| " market_cap price volume\n", | |
| "count 955.000000 9.550000e+02 955.000000\n", | |
| "mean 71148.678534 4.206512e-06 980.024457\n", | |
| "std 73904.322505 5.474308e-06 7862.230228\n", | |
| "min 5695.000000 2.854090e-07 0.000003\n", | |
| "25% 27092.000000 1.498350e-06 1.094750\n", | |
| "50% 48087.000000 2.597010e-06 7.007200\n", | |
| "75% 86890.500000 4.498180e-06 46.826250\n", | |
| "max 678922.000000 4.580750e-05 204887.000000\n", | |
| " market_cap price volume\n", | |
| "count 178.000000 178.000000 178.000000\n", | |
| "mean 4572.323034 0.001921 1695.348524\n", | |
| "std 8463.015286 0.003399 6270.398939\n", | |
| "min 0.000000 0.000176 0.004068\n", | |
| "25% 937.500000 0.000435 0.866973\n", | |
| "50% 1551.000000 0.000600 12.831250\n", | |
| "75% 2045.750000 0.000856 112.724500\n", | |
| "max 52761.000000 0.020024 47182.500000\n", | |
| " market_cap price volume\n", | |
| "count 803.000000 803.000000 803.000000\n", | |
| "mean 21113.387298 0.134575 475.805892\n", | |
| "std 36044.704476 0.652917 1930.175187\n", | |
| "min 641.000000 0.003143 0.000000\n", | |
| "25% 2804.500000 0.008513 0.046069\n", | |
| "50% 5497.000000 0.020057 2.731550\n", | |
| "75% 18500.000000 0.106681 58.357350\n", | |
| "max 445446.000000 17.000500 31256.400000\n", | |
| " market_cap price volume\n", | |
| "count 550.000000 550.000000 550.000000\n", | |
| "mean 10224.036364 0.002293 139.366073\n", | |
| "std 8695.235289 0.006963 1366.362324\n", | |
| "min 244.000000 0.000019 0.000890\n", | |
| "25% 5828.000000 0.000688 1.279075\n", | |
| "50% 6968.000000 0.001288 10.105350\n", | |
| "75% 11203.500000 0.002247 47.040075\n", | |
| "max 123553.000000 0.121195 25771.800000\n", | |
| " market_cap price volume\n", | |
| "count 799.000000 799.000000 799.000000\n", | |
| "mean 5191719.100125 0.136860 24517.740672\n", | |
| "std 5825402.373764 0.151993 98935.148753\n", | |
| "min 49158.000000 0.001491 0.005155\n", | |
| "25% 365828.500000 0.010577 304.919500\n", | |
| "50% 1811909.000000 0.049710 2892.540000\n", | |
| "75% 8247814.000000 0.217284 17641.500000\n", | |
| "max 32741887.000000 0.871982 2157660.000000\n", | |
| " market_cap price volume\n", | |
| "count 993.000000 993.000000 993.000000\n", | |
| "mean 81750.389728 0.000497 6368.497070\n", | |
| "std 91595.993673 0.000574 63357.622707\n", | |
| "min 8426.000000 0.000059 0.066660\n", | |
| "25% 22385.000000 0.000132 61.119700\n", | |
| "50% 39896.000000 0.000246 209.959000\n", | |
| "75% 90654.000000 0.000635 1371.910000\n", | |
| "max 712485.000000 0.003669 1478930.000000\n", | |
| " market_cap price volume\n", | |
| "count 956.000000 956.000000 956.000000\n", | |
| "mean 84000.175732 0.000705 331.317378\n", | |
| "std 113987.515331 0.000944 1521.711885\n", | |
| "min 4622.000000 0.000040 0.870871\n", | |
| "25% 15385.000000 0.000134 72.631725\n", | |
| "50% 43525.500000 0.000376 121.621000\n", | |
| "75% 103450.250000 0.000863 221.423000\n", | |
| "max 802146.000000 0.006655 38212.300000\n", | |
| " market_cap price volume\n", | |
| "count 171.000000 1.710000e+02 171.000000\n", | |
| "mean 5200.298246 1.193923e-06 855.265166\n", | |
| "std 16532.369159 1.659980e-06 5794.205443\n", | |
| "min 0.000000 7.640880e-08 0.000005\n", | |
| "25% 0.000000 2.307495e-07 7.426855\n", | |
| "50% 0.000000 2.856830e-07 20.115600\n", | |
| "75% 0.000000 1.463835e-06 65.613300\n", | |
| "max 76016.000000 5.379580e-06 44478.100000\n", | |
| " market_cap price volume\n", | |
| "count 1.660000e+02 166.000000 1.660000e+02\n", | |
| "mean 1.056877e+08 1.254515 6.809160e+06\n", | |
| "std 3.517067e+07 0.425560 1.645801e+07\n", | |
| "min 0.000000e+00 0.615038 2.111010e+05\n", | |
| "25% 7.939854e+07 0.927568 8.535992e+05\n", | |
| "50% 9.950399e+07 1.168850 1.738015e+06\n", | |
| "75% 1.216644e+08 1.422870 5.069302e+06\n", | |
| "max 2.407596e+08 2.921590 1.303380e+08\n", | |
| " market_cap price volume\n", | |
| "count 5.170000e+02 517.000000 5.170000e+02\n", | |
| "mean 5.936327e+08 7.254702 1.317330e+07\n", | |
| "std 4.184720e+08 5.024965 1.749079e+07\n", | |
| "min 0.000000e+00 0.422475 9.062190e+04\n", | |
| "25% 8.276129e+07 1.137350 1.106680e+06\n", | |
| "50% 7.219974e+08 8.687710 8.362680e+06\n", | |
| "75% 9.555388e+08 11.598000 1.661790e+07\n", | |
| "max 1.574168e+09 19.416800 1.383900e+08\n", | |
| " market_cap price volume\n", | |
| "count 450.000000 450.000000 450.000000\n", | |
| "mean 624.836667 0.000199 20.676569\n", | |
| "std 526.634829 0.000166 127.551912\n", | |
| "min 67.000000 0.000021 0.001645\n", | |
| "25% 258.250000 0.000084 0.232528\n", | |
| "50% 500.000000 0.000162 1.161490\n", | |
| "75% 839.750000 0.000263 4.315748\n", | |
| "max 6414.000000 0.001992 1662.010000\n", | |
| " market_cap price volume\n", | |
| "count 590.000000 590.000000 590.000000\n", | |
| "mean 99439.810169 0.031388 119.142601\n", | |
| "std 178323.573552 0.050170 360.030071\n", | |
| "min 0.000000 0.002370 0.028304\n", | |
| "25% 0.000000 0.006219 5.081313\n", | |
| "50% 26046.000000 0.012499 21.805550\n", | |
| "75% 80675.750000 0.023635 82.654000\n", | |
| "max 906138.000000 0.261848 3995.240000\n", | |
| " market_cap price volume\n", | |
| "count 820.000000 820.000000 820.000000\n", | |
| "mean 20581.635366 0.002776 507.735609\n", | |
| "std 18500.716813 0.002940 1671.389561\n", | |
| "min 5208.000000 0.000408 0.500003\n", | |
| "25% 9917.500000 0.000834 15.390600\n", | |
| "50% 13918.000000 0.001179 65.545000\n", | |
| "75% 24091.000000 0.004579 257.704000\n", | |
| "max 187124.000000 0.019087 20319.400000\n", | |
| " market_cap price volume\n", | |
| "count 737.000000 737.000000 737.000000\n", | |
| "mean 46818.832429 0.005304 2064.430381\n", | |
| "std 87155.401988 0.012210 15262.836317\n", | |
| "min 1740.000000 0.000097 0.000548\n", | |
| "25% 5108.000000 0.000286 6.039890\n", | |
| "50% 8577.000000 0.000480 27.548500\n", | |
| "75% 55165.000000 0.003401 349.528000\n", | |
| "max 627364.000000 0.130413 347167.000000\n", | |
| " market_cap price volume\n", | |
| "count 478.000000 478.000000 478.000000\n", | |
| "mean 737014.646444 0.277411 57405.922386\n", | |
| "std 584569.481046 0.197837 167377.552446\n", | |
| "min 0.000000 0.006638 3.255150\n", | |
| "25% 40002.500000 0.050346 2708.362500\n", | |
| "50% 747016.500000 0.285069 17554.050000\n", | |
| "75% 1209023.250000 0.422951 43134.750000\n", | |
| "max 1865841.000000 0.861792 2733540.000000\n", | |
| " market_cap price volume\n", | |
| "count 927.000000 927.000000 927.000000\n", | |
| "mean 707962.437972 0.013584 2253.086384\n", | |
| "std 588595.684101 0.011294 16360.898607\n", | |
| "min 18053.000000 0.000361 0.117702\n", | |
| "25% 282133.000000 0.005509 41.814000\n", | |
| "50% 639474.000000 0.012255 171.648000\n", | |
| "75% 966151.000000 0.018435 539.092000\n", | |
| "max 4600043.000000 0.088880 292843.000000\n", | |
| " market_cap price volume\n", | |
| "count 912.000000 912.000000 912.000000\n", | |
| "mean 1136426.498904 0.011364 2289.898583\n", | |
| "std 1217371.140720 0.012191 6581.681935\n", | |
| "min 0.000000 0.000006 0.116469\n", | |
| "25% 410980.250000 0.003827 138.326750\n", | |
| "50% 832950.000000 0.008329 626.036000\n", | |
| "75% 1482064.000000 0.014833 1845.167500\n", | |
| "max 7349313.000000 0.073419 124771.000000\n", | |
| " market_cap price volume\n", | |
| "count 880.000000 880.000000 880.000000\n", | |
| "mean 37041.997727 0.014201 226.299677\n", | |
| "std 66158.896983 0.033484 1676.253601\n", | |
| "min 2089.000000 0.001193 0.001460\n", | |
| "25% 7841.500000 0.004538 1.669585\n", | |
| "50% 13677.500000 0.005838 6.711885\n", | |
| "75% 25462.250000 0.007571 28.249500\n", | |
| "max 718570.000000 0.498242 35176.800000\n", | |
| " market_cap price volume\n", | |
| "count 458.000000 458.000000 458.000000\n", | |
| "mean 12969177.801310 1.482089 655184.959648\n", | |
| "std 8232187.932136 0.939817 1071040.406928\n", | |
| "min 0.000000 0.078606 13.756300\n", | |
| "25% 8139414.500000 0.929877 129713.750000\n", | |
| "50% 11908401.500000 1.360420 314788.500000\n", | |
| "75% 19639305.750000 2.243658 742440.250000\n", | |
| "max 33422766.000000 3.818340 10069400.000000\n", | |
| " market_cap price volume\n", | |
| "count 552.000000 552.000000 552.000000\n", | |
| "mean 1868.679348 0.000023 10.779962\n", | |
| "std 1547.460756 0.000014 38.045745\n", | |
| "min 0.000000 0.000004 0.000071\n", | |
| "25% 0.000000 0.000008 0.175964\n", | |
| "50% 2133.000000 0.000023 1.583750\n", | |
| "75% 2948.250000 0.000032 6.629270\n", | |
| "max 8214.000000 0.000089 463.198000\n", | |
| " market_cap price volume\n", | |
| "count 725.000000 725.000000 725.000000\n", | |
| "mean 67306.377931 0.106864 1885.257845\n", | |
| "std 43225.381813 0.069014 10341.782543\n", | |
| "min 0.000000 0.020409 0.003182\n", | |
| "25% 37907.000000 0.059993 53.150100\n", | |
| "50% 54176.000000 0.086224 236.184000\n", | |
| "75% 85202.000000 0.136329 857.408000\n", | |
| "max 321444.000000 0.502517 218973.000000\n", | |
| " market_cap price volume\n", | |
| "count 606.000000 606.000000 606.000000\n", | |
| "mean 257909.118812 0.000604 7318.008101\n", | |
| "std 209143.888743 0.000510 22354.384118\n", | |
| "min 23768.000000 0.000054 0.000108\n", | |
| "25% 121719.500000 0.000272 5.958225\n", | |
| "50% 185563.500000 0.000412 40.034750\n", | |
| "75% 269369.500000 0.000671 157.651250\n", | |
| "max 1769089.000000 0.002997 96363.800000\n", | |
| " market_cap price volume\n", | |
| "count 659.000000 6.590000e+02 659.000000\n", | |
| "mean 65776.053111 1.494814e-06 585.783318\n", | |
| "std 70784.557059 3.164778e-06 2839.117701\n", | |
| "min 6915.000000 1.229920e-07 0.000181\n", | |
| "25% 21977.500000 3.256840e-07 11.642400\n", | |
| "50% 39873.000000 6.406360e-07 46.104000\n", | |
| "75% 75955.500000 1.151060e-06 176.800000\n", | |
| "max 409680.000000 2.975800e-05 37406.500000\n", | |
| " market_cap price volume\n", | |
| "count 811.000000 811.000000 811.000000\n", | |
| "mean 120546.282367 0.000300 8475.527235\n", | |
| "std 155307.229530 0.000352 127659.004929\n", | |
| "min 2520.000000 0.000034 0.013331\n", | |
| "25% 19600.500000 0.000095 18.741900\n", | |
| "50% 39365.000000 0.000168 76.293700\n", | |
| "75% 146866.000000 0.000305 667.616000\n", | |
| "max 969275.000000 0.003970 3590890.000000\n", | |
| " market_cap price volume\n", | |
| "count 1113.000000 1113.000000 1113.000000\n", | |
| "mean 181453.447439 0.002591 2194.285583\n", | |
| "std 187803.245747 0.004528 13607.575628\n", | |
| "min 6796.000000 0.000086 0.000000\n", | |
| "25% 45737.000000 0.000641 86.239200\n", | |
| "50% 111943.000000 0.001178 306.150000\n", | |
| "75% 298128.000000 0.002821 1126.780000\n", | |
| "max 1421804.000000 0.043123 337478.000000\n", | |
| " market_cap price volume\n", | |
| "count 1007.000000 1007.000000 1007.000000\n", | |
| "mean 104480.964250 0.000521 7658.577223\n", | |
| "std 177059.693178 0.001098 53238.817227\n", | |
| "min 19352.000000 0.000063 0.102044\n", | |
| "25% 40423.000000 0.000145 34.201700\n", | |
| "50% 57605.000000 0.000218 128.511000\n", | |
| "75% 78374.000000 0.000347 577.506000\n", | |
| "max 1840177.000000 0.010945 982208.000000\n", | |
| " market_cap price volume\n", | |
| "count 1227.000000 1227.000000 1227.000000\n", | |
| "mean 368831.026895 0.010763 435.624437\n", | |
| "std 951112.987072 0.028262 2737.000935\n", | |
| "min 5144.000000 0.000112 0.000000\n", | |
| "25% 52273.000000 0.001137 1.462505\n", | |
| "50% 93351.000000 0.002046 21.091000\n", | |
| "75% 215543.500000 0.006615 93.816500\n", | |
| "max 11423215.000000 0.338475 78309.400000\n", | |
| " market_cap price volume\n", | |
| "count 1259.000000 1259.000000 1259.000000\n", | |
| "mean 36125.416998 0.293137 410.855547\n", | |
| "std 65421.144473 0.801096 2086.492512\n", | |
| "min 1263.000000 0.010205 0.000000\n", | |
| "25% 10993.000000 0.023113 12.073850\n", | |
| "50% 14953.000000 0.038047 37.400100\n", | |
| "75% 27571.500000 0.176432 117.032000\n", | |
| "max 748969.000000 10.489500 41744.800000\n", | |
| " market_cap price volume\n", | |
| "count 304.000000 304.000000 304.000000\n", | |
| "mean 18282.148026 0.002814 191.877445\n", | |
| "std 10572.059099 0.001678 1328.328513\n", | |
| "min 3237.000000 0.000492 0.000265\n", | |
| "25% 10578.000000 0.001621 4.667977\n", | |
| "50% 15325.500000 0.002330 18.348950\n", | |
| "75% 23761.000000 0.003612 62.163850\n", | |
| "max 79008.000000 0.012867 21981.200000\n", | |
| " market_cap price volume\n", | |
| "count 1150.000000 1150.000000 1150.000000\n", | |
| "mean 91485.659130 0.001792 690.314701\n", | |
| "std 238895.140839 0.005269 2941.525388\n", | |
| "min 3191.000000 0.000025 0.000000\n", | |
| "25% 14384.500000 0.000125 2.877308\n", | |
| "50% 22855.000000 0.000204 24.628800\n", | |
| "75% 40549.750000 0.001073 170.543250\n", | |
| "max 2080399.000000 0.049013 61951.100000\n", | |
| " market_cap price volume\n", | |
| "count 1327.000000 1327.000000 1327.000000\n", | |
| "mean 2162151.465712 0.062882 18643.675298\n", | |
| "std 2961339.509941 0.112530 79315.703954\n", | |
| "min 154998.000000 0.002130 0.000000\n", | |
| "25% 543392.000000 0.005782 795.865000\n", | |
| "50% 1220282.000000 0.016946 2695.120000\n", | |
| "75% 2087932.500000 0.080082 9136.325000\n", | |
| "max 31814461.000000 1.291630 1365690.000000\n", | |
| " market_cap price volume\n", | |
| "count 633.000000 633.000000 633.000000\n", | |
| "mean 29489.259084 0.001010 769.360136\n", | |
| "std 40513.711044 0.000626 4388.924836\n", | |
| "min 0.000000 0.000256 0.000436\n", | |
| "25% 11480.000000 0.000477 2.654530\n", | |
| "50% 21104.000000 0.000879 25.131200\n", | |
| "75% 30676.000000 0.001274 131.022000\n", | |
| "max 280999.000000 0.003443 42493.800000\n", | |
| " market_cap price volume\n", | |
| "count 828.000000 828.000000 828.000000\n", | |
| "mean 2516984.137681 0.044279 37068.140855\n", | |
| "std 3705607.890556 0.063274 105948.328916\n", | |
| "min 107.000000 0.000003 0.000012\n", | |
| "25% 32084.500000 0.000704 394.753750\n", | |
| "50% 736835.000000 0.014669 2591.535000\n", | |
| "75% 2748101.250000 0.050650 16730.725000\n", | |
| "max 19010931.000000 0.332284 884551.000000\n", | |
| " market_cap price volume\n", | |
| "count 754.000000 754.000000 754.000000\n", | |
| "mean 11764.476127 0.003461 596.908925\n", | |
| "std 13706.394143 0.007122 7800.313349\n", | |
| "min 0.000000 0.000250 0.003529\n", | |
| "25% 1910.000000 0.000843 4.796128\n", | |
| "50% 4694.500000 0.001607 25.326100\n", | |
| "75% 18591.500000 0.004001 145.744250\n", | |
| "max 70776.000000 0.097950 209663.000000\n", | |
| " market_cap price volume\n", | |
| "count 14 14.000000 14.000000\n", | |
| "mean 0 0.041967 2.623402\n", | |
| "std 0 0.036286 5.277843\n", | |
| "min 0 0.004126 0.000921\n", | |
| "25% 0 0.010072 0.073982\n", | |
| "50% 0 0.038037 0.166503\n", | |
| "75% 0 0.050709 2.805540\n", | |
| "max 0 0.120714 19.935900\n", | |
| " market_cap price volume\n", | |
| "count 206.000000 206.000000 206.000000\n", | |
| "mean 68653.640777 0.005957 718.736608\n", | |
| "std 96597.593934 0.006914 1140.234990\n", | |
| "min 19827.000000 0.001746 26.902300\n", | |
| "25% 25709.000000 0.002441 92.346175\n", | |
| "50% 30243.000000 0.003385 237.248000\n", | |
| "75% 45285.000000 0.005200 805.270750\n", | |
| "max 441833.000000 0.032613 6437.090000\n", | |
| " market_cap price volume\n", | |
| "count 775.000000 7.750000e+02 775.000000\n", | |
| "mean 8066.171613 9.649145e-08 24.325670\n", | |
| "std 8945.611182 1.038051e-07 45.616798\n", | |
| "min 2400.000000 3.316700e-08 0.210557\n", | |
| "25% 5648.000000 6.529040e-08 4.974260\n", | |
| "50% 7008.000000 8.088580e-08 10.540800\n", | |
| "75% 9011.500000 1.049590e-07 26.130700\n", | |
| "max 234380.000000 2.644720e-06 619.494000\n", | |
| " market_cap price volume\n", | |
| "count 587.000000 587.000000 587.000000\n", | |
| "mean 47586.938671 0.000153 873.582572\n", | |
| "std 114357.853471 0.000412 3852.401924\n", | |
| "min 5743.000000 0.000014 0.000000\n", | |
| "25% 8599.500000 0.000021 3.525865\n", | |
| "50% 11214.000000 0.000028 16.466500\n", | |
| "75% 18736.500000 0.000046 53.584250\n", | |
| "max 737939.000000 0.002753 51428.000000\n", | |
| " market_cap price volume\n", | |
| "count 682.000000 682.000000 682.000000\n", | |
| "mean 90497.714076 0.040548 1798.360544\n", | |
| "std 75475.889954 0.028912 7549.942744\n", | |
| "min 12787.000000 0.012621 8.288900\n", | |
| "25% 41703.500000 0.022634 151.363750\n", | |
| "50% 61819.500000 0.028481 358.404000\n", | |
| "75% 118445.250000 0.050156 951.345750\n", | |
| "max 382808.000000 0.155925 117438.000000\n", | |
| " market_cap price volume\n", | |
| "count 799.000000 799.000000 799.000000\n", | |
| "mean 4498.322278 0.006541 203.997182\n", | |
| "std 6754.171730 0.009865 1305.027935\n", | |
| "min 0.000000 0.000591 0.122481\n", | |
| "25% 1549.000000 0.002267 5.162935\n", | |
| "50% 2875.000000 0.003856 23.108900\n", | |
| "75% 4014.000000 0.005502 110.738500\n", | |
| "max 60375.000000 0.086127 33655.900000\n", | |
| " market_cap price volume\n", | |
| "count 970.000000 970.000000 970.000000\n", | |
| "mean 43547.479381 0.001261 839.710092\n", | |
| "std 88313.597484 0.003483 8086.779491\n", | |
| "min 2185.000000 0.000103 0.000000\n", | |
| "25% 12267.000000 0.000215 2.536675\n", | |
| "50% 15743.000000 0.000281 13.209000\n", | |
| "75% 32509.500000 0.000632 93.132000\n", | |
| "max 903046.000000 0.036393 181897.000000\n", | |
| " market_cap price volume\n", | |
| "count 1262.000000 1262.000000 1262.000000\n", | |
| "mean 327934.923930 0.009873 702.109261\n", | |
| "std 396782.958413 0.013059 2961.871801\n", | |
| "min 6361.000000 0.000381 0.000000\n", | |
| "25% 114552.250000 0.003325 59.700600\n", | |
| "50% 179271.500000 0.005373 202.476000\n", | |
| "75% 398400.250000 0.012139 673.668500\n", | |
| "max 3562787.000000 0.123409 93226.600000\n", | |
| " market_cap price volume\n", | |
| "count 491.000000 491.000000 491.000000\n", | |
| "mean 8677.814664 0.004983 1327.614543\n", | |
| "std 24816.301639 0.017476 7912.572174\n", | |
| "min 1085.000000 0.000473 0.000015\n", | |
| "25% 2625.000000 0.001179 0.577905\n", | |
| "50% 3474.000000 0.001616 4.454470\n", | |
| "75% 4909.500000 0.002379 34.866550\n", | |
| "max 249875.000000 0.199019 83680.800000\n", | |
| " market_cap price volume\n", | |
| "count 332.000000 332.000000 332.000000\n", | |
| "mean 122517.442771 0.000431 5165.343593\n", | |
| "std 277749.984714 0.000762 14823.605483\n", | |
| "min 0.000000 0.000002 0.082334\n", | |
| "25% 2239.250000 0.000016 7.697947\n", | |
| "50% 7164.500000 0.000160 85.136700\n", | |
| "75% 97908.250000 0.000488 1079.562500\n", | |
| "max 2115360.000000 0.006070 96007.600000\n", | |
| " market_cap price volume\n", | |
| "count 672.000000 672.000000 672.000000\n", | |
| "mean 18841.885417 0.016637 455.701875\n", | |
| "std 18269.870730 0.015397 3057.448595\n", | |
| "min 762.000000 0.000918 0.030828\n", | |
| "25% 7096.750000 0.006657 11.767250\n", | |
| "50% 11290.000000 0.010673 53.920450\n", | |
| "75% 23964.500000 0.021649 195.261750\n", | |
| "max 118732.000000 0.097309 70168.200000\n", | |
| " market_cap price volume\n", | |
| "count 676.000000 676.000000 676.000000\n", | |
| "mean 1952990.063609 0.005243 4737.349564\n", | |
| "std 1307425.822374 0.003442 29572.452935\n", | |
| "min 0.000000 0.000575 2.304250\n", | |
| "25% 346247.750000 0.001148 395.281250\n", | |
| "50% 2111522.500000 0.005584 1285.765000\n", | |
| "75% 2876522.500000 0.007575 3512.597500\n", | |
| "max 4895279.000000 0.013253 722966.000000\n", | |
| " market_cap price volume\n", | |
| "count 457.000000 457.000000 457.000000\n", | |
| "mean 41580.971554 0.000038 96.605838\n", | |
| "std 74288.996361 0.000037 195.429973\n", | |
| "min 1141.000000 0.000002 0.002220\n", | |
| "25% 2813.000000 0.000005 6.358240\n", | |
| "50% 8359.000000 0.000027 23.114300\n", | |
| "75% 16948.000000 0.000061 88.853500\n", | |
| "max 320255.000000 0.000173 1483.370000\n", | |
| " market_cap price volume\n", | |
| "count 987.000000 987.000000 987.000000\n", | |
| "mean 71138.868288 0.001245 471.942131\n", | |
| "std 48692.959300 0.000847 1731.157356\n", | |
| "min 3555.000000 0.000067 0.026517\n", | |
| "25% 32097.000000 0.000589 12.830750\n", | |
| "50% 62134.000000 0.001127 57.525200\n", | |
| "75% 97997.500000 0.001677 231.616500\n", | |
| "max 252007.000000 0.004870 27425.700000\n", | |
| " market_cap price volume\n", | |
| "count 206.000000 206.000000 206.000000\n", | |
| "mean 2515.752427 0.001608 212.128937\n", | |
| "std 2988.296987 0.001566 866.819451\n", | |
| "min 0.000000 0.000133 0.062722\n", | |
| "25% 885.000000 0.000705 3.419355\n", | |
| "50% 1655.500000 0.001125 24.608600\n", | |
| "75% 3135.000000 0.001961 121.505500\n", | |
| "max 19810.000000 0.010842 8778.820000\n", | |
| " market_cap price volume\n", | |
| "count 719.000000 719.000000 719.000000\n", | |
| "mean 2965.400556 0.017643 19.213589\n", | |
| "std 6780.545540 0.063487 111.569126\n", | |
| "min 168.000000 0.000665 0.000003\n", | |
| "25% 934.000000 0.003280 1.302495\n", | |
| "50% 1504.000000 0.005268 2.837080\n", | |
| "75% 2698.000000 0.009093 6.715700\n", | |
| "max 85650.000000 0.808061 2512.730000\n", | |
| " market_cap price volume\n", | |
| "count 494.000000 494.000000 494.000000\n", | |
| "mean 23140.287449 0.005138 2586.190176\n", | |
| "std 66584.408513 0.014792 19504.735908\n", | |
| "min 1605.000000 0.000356 0.000268\n", | |
| "25% 3933.750000 0.000873 0.864776\n", | |
| "50% 5843.000000 0.001296 6.551045\n", | |
| "75% 8234.750000 0.001827 64.898500\n", | |
| "max 560640.000000 0.124573 346995.000000\n", | |
| " market_cap price volume\n", | |
| "count 953.000000 953.000000 9.530000e+02\n", | |
| "mean 5389.075551 0.000076 3.959407e+01\n", | |
| "std 7163.973313 0.000132 5.440990e+02\n", | |
| "min 777.000000 0.000012 1.613310e-08\n", | |
| "25% 1963.000000 0.000028 1.254140e+00\n", | |
| "50% 3028.000000 0.000037 2.792440e+00\n", | |
| "75% 5891.000000 0.000052 6.857080e+00\n", | |
| "max 65209.000000 0.001268 1.409230e+04\n", | |
| " market_cap price volume\n", | |
| "count 666.000000 666.000000 666.000000\n", | |
| "mean 19414.719219 0.010871 2268.780486\n", | |
| "std 53540.822127 0.033370 11288.114874\n", | |
| "min 843.000000 0.000386 0.001000\n", | |
| "25% 2673.500000 0.001163 0.875623\n", | |
| "50% 4530.500000 0.002034 4.120405\n", | |
| "75% 10459.250000 0.003472 31.852850\n", | |
| "max 454738.000000 0.280185 118972.000000\n", | |
| " market_cap price volume\n", | |
| "count 787.000000 787.000000 787.000000\n", | |
| "mean 11297.946633 0.002687 50.629322\n", | |
| "std 8273.309325 0.001965 105.573807\n", | |
| "min 0.000000 0.000431 0.004576\n", | |
| "25% 4988.000000 0.001171 2.446585\n", | |
| "50% 8198.000000 0.002130 14.407100\n", | |
| "75% 14757.000000 0.003715 49.032900\n", | |
| "max 40471.000000 0.025961 1278.210000\n", | |
| " market_cap price volume\n", | |
| "count 1082.000000 1082.000000 1082.000000\n", | |
| "mean 137389.940850 0.024418 668.550272\n", | |
| "std 144211.393036 0.039206 2778.957369\n", | |
| "min 12490.000000 0.000390 0.000000\n", | |
| "25% 52598.500000 0.002545 20.847950\n", | |
| "50% 97171.000000 0.007955 90.896150\n", | |
| "75% 154420.000000 0.025761 350.019500\n", | |
| "max 970963.000000 0.237279 64226.400000\n", | |
| " market_cap price volume\n", | |
| "count 677.000000 6.770000e+02 6.770000e+02\n", | |
| "mean 105539.299852 8.481044e-06 7.844265e+00\n", | |
| "std 2430192.753610 1.948272e-04 6.418820e+01\n", | |
| "min 274.000000 2.199880e-08 4.305110e-14\n", | |
| "25% 905.000000 7.260020e-08 4.258670e-02\n", | |
| "50% 1389.000000 1.114170e-07 3.052720e-01\n", | |
| "75% 2977.000000 2.387340e-07 1.524430e+00\n", | |
| "max 63241167.000000 5.070020e-03 1.118840e+03\n", | |
| " market_cap price volume\n", | |
| "count 679.000000 679.000000 679.000000\n", | |
| "mean 13358.788660 0.000468 550.181117\n", | |
| "std 30793.109968 0.001705 3572.707063\n", | |
| "min 396.000000 0.000001 0.034918\n", | |
| "25% 869.000000 0.000010 1.844165\n", | |
| "50% 1635.000000 0.000018 5.882300\n", | |
| "75% 5223.000000 0.000057 62.296200\n", | |
| "max 246149.000000 0.020315 62234.000000\n", | |
| " market_cap price volume\n", | |
| "count 803.000000 8.030000e+02 803.000000\n", | |
| "mean 52305.077210 1.290047e-06 243.229995\n", | |
| "std 62018.541329 1.526309e-06 529.733187\n", | |
| "min 7465.000000 1.836060e-07 0.007720\n", | |
| "25% 19104.000000 4.698710e-07 11.159500\n", | |
| "50% 36619.000000 9.006440e-07 58.283300\n", | |
| "75% 58073.000000 1.444380e-06 243.201000\n", | |
| "max 401845.000000 9.883315e-06 8008.660000\n", | |
| " market_cap price volume\n", | |
| "count 1028.000000 1028.000000 1028.000000\n", | |
| "mean 81507.247082 0.032390 1404.130489\n", | |
| "std 106532.936329 0.109145 5921.291938\n", | |
| "min 3249.000000 0.000780 0.001220\n", | |
| "25% 10082.000000 0.002348 33.668900\n", | |
| "50% 42281.500000 0.005040 128.182000\n", | |
| "75% 112641.250000 0.012920 599.732750\n", | |
| "max 684353.000000 0.895200 111303.000000\n", | |
| " market_cap price volume\n", | |
| "count 650.000000 650.000000 650.000000\n", | |
| "mean 39136.073846 0.001525 1222.587835\n", | |
| "std 76279.276468 0.004888 5922.491626\n", | |
| "min 2976.000000 0.000034 0.000009\n", | |
| "25% 7402.000000 0.000084 0.738217\n", | |
| "50% 11186.500000 0.000127 5.399535\n", | |
| "75% 33179.500000 0.000385 64.162525\n", | |
| "max 569289.000000 0.046429 83642.000000\n", | |
| " market_cap price volume\n", | |
| "count 876.000000 876.000000 876.000000\n", | |
| "mean 119196.203196 0.001421 1381.665290\n", | |
| "std 98907.782164 0.003429 8497.626868\n", | |
| "min 8511.000000 0.000022 0.290588\n", | |
| "25% 53764.750000 0.000259 196.208000\n", | |
| "50% 105009.000000 0.000397 436.354000\n", | |
| "75% 153829.250000 0.000645 1051.942500\n", | |
| "max 883099.000000 0.030306 225337.000000\n", | |
| " market_cap price volume\n", | |
| "count 940.000000 940.000000 940.000000\n", | |
| "mean 152911.217021 0.034649 841.795122\n", | |
| "std 105999.091284 0.025301 1614.555252\n", | |
| "min 5567.000000 0.001811 0.320351\n", | |
| "25% 73260.250000 0.012465 113.599000\n", | |
| "50% 120861.500000 0.029151 355.120500\n", | |
| "75% 204494.750000 0.052262 913.594000\n", | |
| "max 528225.000000 0.113785 23496.300000\n", | |
| " market_cap price volume\n", | |
| "count 987.000000 987.000000 987.000000\n", | |
| "mean 335463.605876 0.016220 121.423956\n", | |
| "std 210764.726506 0.010221 393.198153\n", | |
| "min 24002.000000 0.001151 0.000000\n", | |
| "25% 195349.500000 0.009421 0.857380\n", | |
| "50% 274998.000000 0.013255 8.428350\n", | |
| "75% 417643.000000 0.020145 47.645600\n", | |
| "max 1490342.000000 0.072933 4008.980000\n", | |
| " market_cap price volume\n", | |
| "count 630.000000 630.000000 630.000000\n", | |
| "mean 7863.665079 0.000056 48.610023\n", | |
| "std 11124.750512 0.000078 186.342043\n", | |
| "min 0.000000 0.000002 0.037394\n", | |
| "25% 2091.500000 0.000013 1.386017\n", | |
| "50% 3260.500000 0.000020 5.853175\n", | |
| "75% 6153.000000 0.000046 25.996550\n", | |
| "max 63459.000000 0.000417 3076.990000\n", | |
| " market_cap price volume\n", | |
| "count 434.000000 434.000000 4.340000e+02\n", | |
| "mean 8318.785714 0.001865 2.155489e+02\n", | |
| "std 6413.763802 0.001498 1.974333e+03\n", | |
| "min 1133.000000 0.000253 2.919330e-08\n", | |
| "25% 4656.000000 0.001037 3.072735e-01\n", | |
| "50% 7412.500000 0.001655 2.851420e+00\n", | |
| "75% 10092.500000 0.002240 2.695392e+01\n", | |
| "max 71095.000000 0.015972 3.799940e+04\n", | |
| " market_cap price volume\n", | |
| "count 98.000000 98.000000 98.000000\n", | |
| "mean 13305782.612245 0.222671 92358.128776\n", | |
| "std 10154034.477911 0.091047 97888.907269\n", | |
| "min 0.000000 0.105370 3574.020000\n", | |
| "25% 2291797.500000 0.169628 23784.700000\n", | |
| "50% 14692864.500000 0.196955 66406.400000\n", | |
| "75% 18391343.250000 0.277509 124481.500000\n", | |
| "max 57311772.000000 0.658756 445740.000000\n", | |
| " market_cap price volume\n", | |
| "count 461.000000 461.000000 461.000000\n", | |
| "mean 4167.045553 0.008823 1002.953377\n", | |
| "std 3653.991049 0.015407 3773.684431\n", | |
| "min 262.000000 0.000205 0.057573\n", | |
| "25% 1060.000000 0.000875 21.700400\n", | |
| "50% 2865.000000 0.002801 89.897400\n", | |
| "75% 7282.000000 0.010342 289.882000\n", | |
| "max 15737.000000 0.101211 43437.700000\n", | |
| " market_cap price volume\n", | |
| "count 1212.000000 1.212000e+03 1212.000000\n", | |
| "mean 1269343.919142 1.409881e-05 14237.642388\n", | |
| "std 1857445.758864 2.066543e-05 43747.826749\n", | |
| "min 16112.000000 3.034910e-07 0.000000\n", | |
| "25% 402037.750000 4.448060e-06 604.451250\n", | |
| "50% 594101.500000 6.617260e-06 2743.755000\n", | |
| "75% 1222922.250000 1.349860e-05 9710.625000\n", | |
| "max 12446805.000000 1.384090e-04 663383.000000\n", | |
| " market_cap price volume\n", | |
| "count 471.000000 471.000000 471.000000\n", | |
| "mean 31614.547771 0.024166 1423.877102\n", | |
| "std 34088.994452 0.106279 5657.168589\n", | |
| "min 329.000000 0.001162 2.233990\n", | |
| "25% 8486.500000 0.007261 78.840800\n", | |
| "50% 26108.000000 0.016117 232.262000\n", | |
| "75% 42040.000000 0.025251 877.566000\n", | |
| "max 461460.000000 2.299830 89353.600000\n", | |
| " market_cap price volume\n", | |
| "count 169.000000 169.000000 169.000000\n", | |
| "mean 1255644.201183 0.167034 158.192970\n", | |
| "std 576399.179567 0.067932 258.801369\n", | |
| "min 390437.000000 0.069382 0.058061\n", | |
| "25% 1021123.000000 0.121330 1.632130\n", | |
| "50% 1143881.000000 0.152365 42.960000\n", | |
| "75% 1251030.000000 0.193267 179.030000\n", | |
| "max 4259128.000000 0.573648 1349.240000\n", | |
| " market_cap price volume\n", | |
| "count 294.000000 294.000000 294.000000\n", | |
| "mean 49240.630952 0.011880 1426.811047\n", | |
| "std 40408.958902 0.025337 7204.241690\n", | |
| "min 780.000000 0.000033 0.873031\n", | |
| "25% 8440.000000 0.000558 73.116800\n", | |
| "50% 44766.500000 0.006124 234.712000\n", | |
| "75% 75692.500000 0.008837 569.262750\n", | |
| "max 252321.000000 0.255610 92643.800000\n", | |
| " market_cap price volume\n", | |
| "count 1212.000000 1212.000000 1212.000000\n", | |
| "mean 619341.412541 0.031771 895.014635\n", | |
| "std 537708.747968 0.029814 2607.004822\n", | |
| "min 34029.000000 0.002351 0.000000\n", | |
| "25% 283082.250000 0.013726 9.164013\n", | |
| "50% 471284.500000 0.022539 118.044500\n", | |
| "75% 798807.500000 0.038766 771.109250\n", | |
| "max 4818387.000000 0.229457 37597.600000\n", | |
| " market_cap price volume\n", | |
| "count 820.000000 820.000000 820.000000\n", | |
| "mean 75459.873171 0.035191 321.196322\n", | |
| "std 68649.886425 0.030840 997.318504\n", | |
| "min 0.000000 0.000164 0.050068\n", | |
| "25% 19554.750000 0.012124 51.370250\n", | |
| "50% 69293.500000 0.027858 113.022000\n", | |
| "75% 99649.000000 0.041157 277.326750\n", | |
| "max 428700.000000 0.175094 13327.100000\n", | |
| " market_cap price volume\n", | |
| "count 369.000000 369.000000 369.000000\n", | |
| "mean 88959.098916 0.089818 38.242344\n", | |
| "std 83720.995219 0.084529 116.529044\n", | |
| "min 757.000000 0.000764 0.000015\n", | |
| "25% 12053.000000 0.012169 0.238027\n", | |
| "50% 39177.000000 0.039556 2.264640\n", | |
| "75% 166252.000000 0.167857 18.457000\n", | |
| "max 300507.000000 0.303408 1132.340000\n", | |
| " market_cap price volume\n", | |
| "count 622.000000 622.000000 622.000000\n", | |
| "mean 430028.729100 5.644060 596.220959\n", | |
| "std 231574.088949 4.106886 1590.739922\n", | |
| "min 104297.000000 1.571500 1.571500\n", | |
| "25% 252059.250000 2.911713 32.293675\n", | |
| "50% 390037.000000 4.212190 119.301500\n", | |
| "75% 546425.000000 6.145465 461.120500\n", | |
| "max 1473333.000000 25.098100 17834.300000\n", | |
| " market_cap price volume\n", | |
| "count 771.000000 771.000000 771.000000\n", | |
| "mean 43537.683528 0.004320 1237.687763\n", | |
| "std 123097.108649 0.012359 10213.276203\n", | |
| "min 77.000000 0.000014 0.000000\n", | |
| "25% 2516.000000 0.000201 0.034946\n", | |
| "50% 3605.000000 0.000314 2.080700\n", | |
| "75% 16474.000000 0.001579 19.770500\n", | |
| "max 1044267.000000 0.107667 208602.000000\n", | |
| " market_cap price volume\n", | |
| "count 680.000000 680.000000 680.000000\n", | |
| "mean 406547.744118 0.040655 588.950649\n", | |
| "std 281730.233878 0.028173 1778.558611\n", | |
| "min 51113.000000 0.005111 0.010510\n", | |
| "25% 201508.750000 0.020151 10.541675\n", | |
| "50% 326849.500000 0.032685 62.162900\n", | |
| "75% 523818.250000 0.052382 338.938000\n", | |
| "max 1583400.000000 0.158340 22614.400000\n", | |
| " market_cap price volume\n", | |
| "count 516.000000 516.000000 516.000000\n", | |
| "mean 10280.344961 0.000978 1897.596712\n", | |
| "std 17995.129491 0.001800 10481.346570\n", | |
| "min 1153.000000 0.000099 0.000211\n", | |
| "25% 2402.000000 0.000206 1.806462\n", | |
| "50% 4518.000000 0.000385 13.954700\n", | |
| "75% 9431.000000 0.000809 117.376250\n", | |
| "max 156623.000000 0.013802 144495.000000\n", | |
| " market_cap price volume\n", | |
| "count 777.000000 7.770000e+02 777.000000\n", | |
| "mean 195702.830116 3.771634e-06 2802.474549\n", | |
| "std 298048.317004 6.070186e-06 13130.626441\n", | |
| "min 13013.000000 1.850160e-07 0.041704\n", | |
| "25% 40166.000000 5.932430e-07 18.215600\n", | |
| "50% 80470.000000 1.316460e-06 109.052000\n", | |
| "75% 224827.000000 4.179920e-06 1107.460000\n", | |
| "max 2797937.000000 4.774950e-05 277665.000000\n", | |
| " market_cap price volume\n", | |
| "count 709.000000 709.000000 709.000000\n", | |
| "mean 24346.321580 0.003974 589.330031\n", | |
| "std 48500.515693 0.010051 2639.577859\n", | |
| "min 1826.000000 0.000250 0.000969\n", | |
| "25% 3488.000000 0.000476 1.108080\n", | |
| "50% 4902.000000 0.000670 4.966670\n", | |
| "75% 14564.000000 0.001990 66.191100\n", | |
| "max 374754.000000 0.110279 41247.000000\n", | |
| " market_cap price volume\n", | |
| "count 518.000000 518.000000 518.000000\n", | |
| "mean 62954.899614 0.002597 83.123688\n", | |
| "std 79512.229750 0.003271 227.856862\n", | |
| "min 2327.000000 0.000097 0.002295\n", | |
| "25% 14223.750000 0.000603 1.454727\n", | |
| "50% 39143.000000 0.001614 13.836800\n", | |
| "75% 69120.500000 0.002846 70.641450\n", | |
| "max 597755.000000 0.024609 3229.660000\n", | |
| " market_cap price volume\n", | |
| "count 729.000000 729.000000 729.000000\n", | |
| "mean 39790.602195 0.023843 1099.542350\n", | |
| "std 38918.317022 0.025116 6075.182583\n", | |
| "min 2564.000000 0.001419 0.135461\n", | |
| "25% 17507.000000 0.010142 11.442600\n", | |
| "50% 28699.000000 0.016253 68.531900\n", | |
| "75% 43084.000000 0.024857 356.771000\n", | |
| "max 228101.000000 0.168731 119701.000000\n", | |
| " market_cap price volume\n", | |
| "count 265.000000 265.000000 265.000000\n", | |
| "mean 143433.449057 0.050268 3095.084668\n", | |
| "std 124783.155427 0.042422 5604.099428\n", | |
| "min 0.000000 0.010077 0.425873\n", | |
| "25% 53639.000000 0.019676 198.112000\n", | |
| "50% 81604.000000 0.029466 720.772000\n", | |
| "75% 184248.000000 0.064441 2802.940000\n", | |
| "max 544232.000000 0.187814 42327.900000\n", | |
| " market_cap price volume\n", | |
| "count 433.000000 433.000000 433.000000\n", | |
| "mean 6776.214781 0.000043 12.411763\n", | |
| "std 6111.991493 0.000051 46.770982\n", | |
| "min 687.000000 0.000004 0.000058\n", | |
| "25% 3727.000000 0.000020 0.276189\n", | |
| "50% 4927.000000 0.000027 2.359160\n", | |
| "75% 7425.000000 0.000043 7.871860\n", | |
| "max 61480.000000 0.000559 568.425000\n", | |
| " market_cap price volume\n", | |
| "count 631.000000 6.310000e+02 631.000000\n", | |
| "mean 30710.568938 3.781194e-06 168.283838\n", | |
| "std 18706.129705 2.498986e-06 749.127307\n", | |
| "min 0.000000 2.038230e-07 0.000612\n", | |
| "25% 18913.500000 1.851680e-06 2.211050\n", | |
| "50% 31153.000000 3.683560e-06 10.272800\n", | |
| "75% 39567.500000 4.586190e-06 79.973550\n", | |
| "max 293450.000000 2.218370e-05 11812.000000\n", | |
| " market_cap price volume\n", | |
| "count 796.000000 7.960000e+02 796.000000\n", | |
| "mean 66325.809045 5.392706e-06 832.049435\n", | |
| "std 150640.971969 1.685192e-05 6227.158720\n", | |
| "min 3143.000000 2.051790e-07 0.000141\n", | |
| "25% 8742.250000 5.705720e-07 3.290297\n", | |
| "50% 13717.000000 8.952250e-07 15.546000\n", | |
| "75% 70127.000000 4.579872e-06 102.728250\n", | |
| "max 1660183.000000 2.061610e-04 119139.000000\n", | |
| " market_cap price volume\n", | |
| "count 520 520.000000 520.000000\n", | |
| "mean 0 0.346449 31359.014750\n", | |
| "std 0 0.192204 37722.212114\n", | |
| "min 0 0.061126 134.389000\n", | |
| "25% 0 0.188185 6062.222500\n", | |
| "50% 0 0.325094 20330.700000\n", | |
| "75% 0 0.481598 41651.575000\n", | |
| "max 0 2.145140 323165.000000\n", | |
| " market_cap price volume\n", | |
| "count 344.000000 344.000000 344.000000\n", | |
| "mean 20395.197674 0.008979 352.784165\n", | |
| "std 37476.990477 0.023276 1861.996158\n", | |
| "min 133.000000 0.000027 0.000282\n", | |
| "25% 2432.000000 0.000490 0.390029\n", | |
| "50% 5483.500000 0.001104 2.074695\n", | |
| "75% 15849.750000 0.003296 27.988200\n", | |
| "max 285025.000000 0.216078 25177.200000\n", | |
| " market_cap price volume\n", | |
| "count 654.000000 654.000000 654.000000\n", | |
| "mean 230887.415902 1.462309 388.265169\n", | |
| "std 115484.462898 1.246566 818.810315\n", | |
| "min 0.000000 0.086890 0.016421\n", | |
| "25% 159261.000000 0.496957 25.975025\n", | |
| "50% 205040.000000 1.041010 119.419500\n", | |
| "75% 281076.250000 2.165040 368.101750\n", | |
| "max 1070378.000000 11.092000 7395.510000\n", | |
| " market_cap price volume\n", | |
| "count 886.000000 886.000000 886.000000\n", | |
| "mean 44797.147856 0.003959 352.604370\n", | |
| "std 79995.987774 0.008627 2212.333697\n", | |
| "min 749.000000 0.000040 0.000000\n", | |
| "25% 11195.500000 0.000710 0.218050\n", | |
| "50% 21220.500000 0.001467 6.456730\n", | |
| "75% 35894.750000 0.002808 54.468325\n", | |
| "max 910722.000000 0.106498 55343.400000\n", | |
| " market_cap price volume\n", | |
| "count 610.000000 610.000000 610.000000\n", | |
| "mean 54171.839344 0.006784 230.360710\n", | |
| "std 52134.782722 0.006454 467.899550\n", | |
| "min 5.000000 0.000470 0.031445\n", | |
| "25% 12881.500000 0.001656 6.695707\n", | |
| "50% 30405.000000 0.003791 55.055150\n", | |
| "75% 80633.250000 0.010035 248.581500\n", | |
| "max 218169.000000 0.027152 5411.580000\n", | |
| " market_cap price volume\n", | |
| "count 1079.000000 1.079000e+03 1079.000000\n", | |
| "mean 85657.359592 1.279410e-05 6311.535210\n", | |
| "std 201267.614739 4.475312e-05 49815.662743\n", | |
| "min 5227.000000 3.607730e-07 0.001278\n", | |
| "25% 21469.500000 1.481620e-06 0.573584\n", | |
| "50% 31573.000000 2.178810e-06 22.808600\n", | |
| "75% 51165.000000 3.559355e-06 216.311500\n", | |
| "max 1844722.000000 3.978870e-04 1248660.000000\n", | |
| " market_cap price volume\n", | |
| "count 390.000000 390.000000 390.000000\n", | |
| "mean 6488.328205 0.008471 246.669898\n", | |
| "std 5005.858812 0.006538 2858.411465\n", | |
| "min 930.000000 0.001212 0.000147\n", | |
| "25% 2206.250000 0.002875 0.360530\n", | |
| "50% 4937.000000 0.006430 9.423240\n", | |
| "75% 9881.250000 0.012976 77.047675\n", | |
| "max 21775.000000 0.028357 56237.800000\n", | |
| " market_cap price volume\n", | |
| "count 274.000000 274.000000 274.000000\n", | |
| "mean 20297080.102190 0.478368 728762.441861\n", | |
| "std 12209786.105303 0.703231 1501350.099176\n", | |
| "min 0.000000 0.130027 6279.240000\n", | |
| "25% 14598577.250000 0.184068 107564.500000\n", | |
| "50% 21724350.000000 0.257437 324973.000000\n", | |
| "75% 27950974.250000 0.362038 597108.000000\n", | |
| "max 50095000.000000 6.909710 13981800.000000\n", | |
| " market_cap price volume\n", | |
| "count 827.000000 827.000000 827.000000\n", | |
| "mean 7392.365175 0.059013 79.481889\n", | |
| "std 10828.898238 0.126394 299.360861\n", | |
| "min 895.000000 0.005068 0.000255\n", | |
| "25% 2315.500000 0.013103 1.535330\n", | |
| "50% 3895.000000 0.022041 9.286170\n", | |
| "75% 7399.000000 0.042133 42.020700\n", | |
| "max 90831.000000 1.160120 4744.740000\n", | |
| " market_cap price volume\n", | |
| "count 851.000000 851.000000 851.000000\n", | |
| "mean 71542.111633 0.000216 2750.411824\n", | |
| "std 59871.764799 0.000182 29919.778846\n", | |
| "min 8635.000000 0.000021 0.000238\n", | |
| "25% 32528.500000 0.000099 25.567750\n", | |
| "50% 52165.000000 0.000151 84.506800\n", | |
| "75% 81573.500000 0.000253 349.473000\n", | |
| "max 505000.000000 0.001402 680698.000000\n", | |
| " market_cap price volume\n", | |
| "count 1.336000e+03 1336.000000 1336.000000\n", | |
| "mean 1.794747e+08 5.612144 3369055.118263\n", | |
| "std 1.400076e+08 5.873360 5287219.713852\n", | |
| "min 3.828616e+07 1.195510 0.000000\n", | |
| "25% 7.350833e+07 2.887148 1006375.000000\n", | |
| "50% 1.506176e+08 3.659130 1915165.000000\n", | |
| "75% 1.919207e+08 4.642312 3639462.500000\n", | |
| "max 1.177317e+09 50.266000 62553400.000000\n", | |
| " market_cap price volume\n", | |
| "count 519.000000 519.000000 5.190000e+02\n", | |
| "mean 59498.579961 0.000858 3.187234e+03\n", | |
| "std 100403.172401 0.001678 1.405561e+04\n", | |
| "min 0.000000 0.000090 8.755260e-08\n", | |
| "25% 16567.500000 0.000210 5.820865e+00\n", | |
| "50% 23130.000000 0.000293 3.535440e+01\n", | |
| "75% 32808.500000 0.000419 2.543260e+02\n", | |
| "max 605512.000000 0.013102 2.118880e+05\n", | |
| " market_cap price volume\n", | |
| "count 214 214.000000 214.000000\n", | |
| "mean 0 0.000039 55.248293\n", | |
| "std 0 0.000031 362.047727\n", | |
| "min 0 0.000004 0.000652\n", | |
| "25% 0 0.000019 0.351526\n", | |
| "50% 0 0.000033 0.871239\n", | |
| "75% 0 0.000047 2.672090\n", | |
| "max 0 0.000187 3521.420000\n", | |
| " market_cap price volume\n", | |
| "count 733.000000 733.000000 733.000000\n", | |
| "mean 145795.572988 0.014865 3950.758634\n", | |
| "std 116546.849355 0.011956 15102.296233\n", | |
| "min 22262.000000 0.002537 0.000230\n", | |
| "25% 41744.000000 0.004252 6.074800\n", | |
| "50% 123912.000000 0.012374 55.126000\n", | |
| "75% 206650.000000 0.021143 765.334000\n", | |
| "max 619026.000000 0.063501 170047.000000\n", | |
| " market_cap price volume\n", | |
| "count 246.000000 246.000000 2.460000e+02\n", | |
| "mean 1087.341463 0.000096 8.400760e+00\n", | |
| "std 1328.630379 0.000088 4.874941e+01\n", | |
| "min 21.000000 0.000002 2.350620e-08\n", | |
| "25% 458.250000 0.000048 1.392623e-01\n", | |
| "50% 611.000000 0.000067 8.342475e-01\n", | |
| "75% 1431.750000 0.000132 3.601910e+00\n", | |
| "max 9252.000000 0.000601 5.083720e+02\n", | |
| " market_cap price volume\n", | |
| "count 54.000000 54.000000 54.000000\n", | |
| "mean 9110.324074 0.000974 1251.291874\n", | |
| "std 11011.586781 0.001750 4830.500591\n", | |
| "min 82.000000 0.000005 0.000010\n", | |
| "25% 1817.500000 0.000113 2.129482\n", | |
| "50% 4272.500000 0.000286 34.174500\n", | |
| "75% 14232.500000 0.001190 655.465500\n", | |
| "max 51536.000000 0.011069 34802.100000\n", | |
| " market_cap price volume\n", | |
| "count 973.000000 973.000000 973.000000\n", | |
| "mean 18864667.511305 0.041685 172152.535968\n", | |
| "std 13215979.651006 0.029203 407761.429688\n", | |
| "min 5026499.000000 0.011107 317.069000\n", | |
| "25% 8558807.000000 0.018912 6302.880000\n", | |
| "50% 11968698.000000 0.026447 17022.800000\n", | |
| "75% 30850226.000000 0.068169 175135.000000\n", | |
| "max 54457894.000000 0.120335 5704120.000000\n", | |
| " market_cap price volume\n", | |
| "count 647.000000 647.000000 647.000000\n", | |
| "mean 61036.680062 0.002886 862.391215\n", | |
| "std 43515.011082 0.002578 7498.535764\n", | |
| "min 0.000000 0.000469 0.003362\n", | |
| "25% 31317.500000 0.001586 13.760950\n", | |
| "50% 47785.000000 0.002109 71.310500\n", | |
| "75% 82434.500000 0.003052 263.809500\n", | |
| "max 284906.000000 0.018543 168067.000000\n", | |
| " market_cap price volume\n", | |
| "count 1047.000000 1047.000000 1047.000000\n", | |
| "mean 537016.709647 0.039055 35119.272375\n", | |
| "std 690412.823618 0.178056 282543.622014\n", | |
| "min 65206.000000 0.001573 15.507800\n", | |
| "25% 183394.500000 0.004423 415.519000\n", | |
| "50% 264029.000000 0.006501 1029.120000\n", | |
| "75% 673727.000000 0.019036 4874.610000\n", | |
| "max 6716868.000000 2.769340 6294810.000000\n", | |
| " market_cap price volume\n", | |
| "count 727.000000 727.000000 727.000000\n", | |
| "mean 7819.232462 0.000568 232.578180\n", | |
| "std 9019.604716 0.000516 1118.204136\n", | |
| "min 0.000000 0.000067 0.000135\n", | |
| "25% 2382.000000 0.000166 0.942822\n", | |
| "50% 3274.000000 0.000333 5.898800\n", | |
| "75% 9028.000000 0.000911 44.185100\n", | |
| "max 47917.000000 0.002977 20136.000000\n", | |
| " market_cap price volume\n", | |
| "count 1255.000000 1255.000000 1255.000000\n", | |
| "mean 1884955.486853 0.081291 13670.528398\n", | |
| "std 4485547.303392 0.210819 45727.349397\n", | |
| "min 30314.000000 0.002492 0.000000\n", | |
| "25% 456425.000000 0.014828 748.025500\n", | |
| "50% 589331.000000 0.019144 2339.370000\n", | |
| "75% 902273.500000 0.032479 7321.260000\n", | |
| "max 55579460.000000 2.636900 731804.000000\n", | |
| " market_cap price volume\n", | |
| "count 931.000000 9.310000e+02 931.000000\n", | |
| "mean 98766.581096 1.449885e-05 5152.984743\n", | |
| "std 369063.878191 6.571411e-05 34185.393107\n", | |
| "min 1734.000000 7.254860e-08 0.000015\n", | |
| "25% 7469.000000 3.452455e-07 1.033610\n", | |
| "50% 12173.000000 5.165890e-07 10.289900\n", | |
| "75% 22295.000000 1.078080e-06 117.633000\n", | |
| "max 3937749.000000 7.950020e-04 650004.000000\n", | |
| " market_cap price volume\n", | |
| "count 598.000000 598.000000 598.000000\n", | |
| "mean 13885.496656 0.000244 117.321314\n", | |
| "std 10093.547682 0.000105 211.990162\n", | |
| "min 0.000000 0.000022 0.087323\n", | |
| "25% 4779.750000 0.000162 4.601670\n", | |
| "50% 14067.000000 0.000256 25.350500\n", | |
| "75% 23073.750000 0.000328 129.151750\n", | |
| "max 37433.000000 0.000487 2445.560000\n", | |
| " market_cap price volume\n", | |
| "count 486.000000 486.000000 486.000000\n", | |
| "mean 78486.230453 0.078487 213.112949\n", | |
| "std 61094.370079 0.061094 581.011883\n", | |
| "min 2438.000000 0.002439 0.020560\n", | |
| "25% 25264.750000 0.025265 3.850673\n", | |
| "50% 70727.500000 0.070728 18.234650\n", | |
| "75% 104584.500000 0.104585 148.815750\n", | |
| "max 333168.000000 0.333168 6198.250000\n", | |
| " market_cap price volume\n", | |
| "count 1040.000000 1040.000000 1040.000000\n", | |
| "mean 853896.303846 0.000040 8701.367806\n", | |
| "std 592738.885490 0.000029 57900.759528\n", | |
| "min 43573.000000 0.000002 0.063088\n", | |
| "25% 367580.250000 0.000018 147.513250\n", | |
| "50% 732585.000000 0.000033 484.535000\n", | |
| "75% 1251129.750000 0.000057 1748.827500\n", | |
| "max 4296143.000000 0.000242 1417130.000000\n", | |
| " market_cap price volume\n", | |
| "count 905.000000 905.000000 905.000000\n", | |
| "mean 112761.458564 0.025999 1912.000874\n", | |
| "std 175462.384407 0.080609 13100.894200\n", | |
| "min 2.000000 0.000604 0.000000\n", | |
| "25% 37166.000000 0.003786 6.715440\n", | |
| "50% 57803.000000 0.006075 62.412300\n", | |
| "75% 96548.000000 0.010269 423.215000\n", | |
| "max 1203445.000000 0.903192 332590.000000\n", | |
| " market_cap price volume\n", | |
| "count 782.000000 782.000000 782.000000\n", | |
| "mean 325620.993606 0.024213 1591.989989\n", | |
| "std 284096.294811 0.023508 11215.607505\n", | |
| "min 0.000000 0.006014 0.026447\n", | |
| "25% 97330.000000 0.009819 39.453025\n", | |
| "50% 140343.500000 0.013671 214.782500\n", | |
| "75% 558940.750000 0.023590 714.249000\n", | |
| "max 1937240.000000 0.193724 252602.000000\n", | |
| " market_cap price volume\n", | |
| "count 938.000000 938.000000 938.000000\n", | |
| "mean 124485.744670 0.083558 2963.439957\n", | |
| "std 220528.034596 0.145849 32254.439142\n", | |
| "min 439.000000 0.000255 0.000000\n", | |
| "25% 6431.250000 0.003736 0.089531\n", | |
| "50% 16111.000000 0.009360 6.873945\n", | |
| "75% 145263.500000 0.092783 62.111850\n", | |
| "max 1350339.000000 0.845931 802271.000000\n", | |
| " market_cap price volume\n", | |
| "count 358.000000 358.000000 358.000000\n", | |
| "mean 15418.762570 0.003606 1246.640691\n", | |
| "std 15749.652168 0.004013 8264.179825\n", | |
| "min 0.000000 0.000102 0.000229\n", | |
| "25% 7211.000000 0.001631 2.645185\n", | |
| "50% 10463.000000 0.002236 17.786900\n", | |
| "75% 19780.750000 0.004309 111.169000\n", | |
| "max 101911.000000 0.024459 71923.500000\n", | |
| " market_cap price volume\n", | |
| "count 981.000000 981.000000 981.000000\n", | |
| "mean 1600072.166157 0.077004 4819.020128\n", | |
| "std 831263.955533 0.056953 21031.821776\n", | |
| "min 171906.000000 0.022498 170.859000\n", | |
| "25% 1080005.000000 0.042745 1502.260000\n", | |
| "50% 1648118.000000 0.061770 2787.430000\n", | |
| "75% 2024903.000000 0.095067 4384.850000\n", | |
| "max 7657911.000000 0.738176 635618.000000\n", | |
| " market_cap price volume\n", | |
| "count 1078.000000 1.078000e+03 1078.000000\n", | |
| "mean 240369.934137 3.746831e-06 4190.196654\n", | |
| "std 423808.240522 1.581149e-05 35200.869409\n", | |
| "min 20677.000000 1.502910e-07 0.000644\n", | |
| "25% 71337.250000 3.992200e-07 69.132975\n", | |
| "50% 118054.000000 6.231380e-07 270.417000\n", | |
| "75% 204477.500000 1.164165e-06 1011.912500\n", | |
| "max 4636203.000000 1.984370e-04 927277.000000\n", | |
| " market_cap price volume\n", | |
| "count 481.000000 481.000000 481.000000\n", | |
| "mean 188110.241164 0.262155 767.240356\n", | |
| "std 224805.164318 0.316865 8502.127056\n", | |
| "min 16489.000000 0.022903 0.011150\n", | |
| "25% 75306.000000 0.104593 3.302900\n", | |
| "50% 128850.000000 0.178959 21.273600\n", | |
| "75% 197307.000000 0.274038 122.536000\n", | |
| "max 1941324.000000 2.773320 182121.000000\n", | |
| " market_cap price volume\n", | |
| "count 615.000000 615.000000 615.000000\n", | |
| "mean 19122.039837 0.002183 213.032480\n", | |
| "std 15201.072100 0.003254 671.307436\n", | |
| "min 1566.000000 0.000142 0.031243\n", | |
| "25% 7843.500000 0.000473 10.906250\n", | |
| "50% 13650.000000 0.000811 32.534400\n", | |
| "75% 27480.000000 0.002030 132.298000\n", | |
| "max 92058.000000 0.020001 10266.500000\n", | |
| " market_cap price volume\n", | |
| "count 697.000000 697.000000 697.000000\n", | |
| "mean 23057.474892 0.001040 107.671841\n", | |
| "std 32168.984566 0.001765 253.794545\n", | |
| "min 0.000000 0.000069 0.000857\n", | |
| "25% 4687.000000 0.000160 5.266680\n", | |
| "50% 7639.000000 0.000266 17.920000\n", | |
| "75% 33690.000000 0.001237 78.795300\n", | |
| "max 217777.000000 0.013162 2624.450000\n", | |
| " market_cap price volume\n", | |
| "count 631.000000 631.000000 631.000000\n", | |
| "mean 7299.202853 0.038176 332.749888\n", | |
| "std 6683.759990 0.053360 1543.975801\n", | |
| "min 0.000000 0.000469 0.088250\n", | |
| "25% 2464.000000 0.001325 9.611320\n", | |
| "50% 5514.000000 0.017555 49.499800\n", | |
| "75% 11090.500000 0.044655 175.261500\n", | |
| "max 36671.000000 0.308465 30700.500000\n", | |
| " market_cap price volume\n", | |
| "count 791.000000 791.000000 791.000000\n", | |
| "mean 22127.905183 0.000254 240.377340\n", | |
| "std 26993.322944 0.000273 912.483382\n", | |
| "min 522.000000 0.000012 0.001483\n", | |
| "25% 5747.500000 0.000088 14.354250\n", | |
| "50% 11052.000000 0.000150 52.688000\n", | |
| "75% 24578.500000 0.000304 177.732000\n", | |
| "max 258395.000000 0.002749 18806.700000\n", | |
| " market_cap price volume\n", | |
| "count 487.000000 487.000000 487.000000\n", | |
| "mean 16105.111910 0.000593 633.551468\n", | |
| "std 8669.172675 0.000322 4232.009949\n", | |
| "min 2297.000000 0.000084 0.005943\n", | |
| "25% 10467.500000 0.000384 4.680300\n", | |
| "50% 13755.000000 0.000505 45.769200\n", | |
| "75% 19959.500000 0.000733 170.330000\n", | |
| "max 47420.000000 0.001743 77007.400000\n", | |
| " market_cap price volume\n", | |
| "count 915.000000 915.000000 915.000000\n", | |
| "mean 143202.810383 0.000359 6857.400947\n", | |
| "std 140121.587623 0.000711 35938.955860\n", | |
| "min 24076.000000 0.000022 9.204890\n", | |
| "25% 50064.000000 0.000050 138.189500\n", | |
| "50% 79267.000000 0.000081 488.145000\n", | |
| "75% 154703.000000 0.000224 2268.165000\n", | |
| "max 1022166.000000 0.005954 663660.000000\n", | |
| " market_cap price volume\n", | |
| "count 1030.000000 1030.000000 1030.00000\n", | |
| "mean 129712.731553 0.000425 5072.62520\n", | |
| "std 304778.190524 0.003136 58615.26878\n", | |
| "min 24514.000000 0.000036 3.60500\n", | |
| "25% 55584.750000 0.000075 132.37875\n", | |
| "50% 99670.000000 0.000127 306.54250\n", | |
| "75% 135136.250000 0.000164 898.29800\n", | |
| "max 7826710.000000 0.083400 1693690.00000\n", | |
| " market_cap price volume\n", | |
| "count 657.000000 657.000000 6.570000e+02\n", | |
| "mean 234322.410959 0.000023 3.490131e+03\n", | |
| "std 240639.674252 0.000024 2.119184e+04\n", | |
| "min 21272.000000 0.000002 1.669890e-07\n", | |
| "25% 65715.000000 0.000007 1.547680e+01\n", | |
| "50% 191936.000000 0.000019 1.622810e+02\n", | |
| "75% 277987.000000 0.000028 1.272110e+03\n", | |
| "max 2527700.000000 0.000253 3.350370e+05\n", | |
| " market_cap price volume\n", | |
| "count 957.000000 957.000000 957.000000\n", | |
| "mean 916715.117032 0.092125 17423.384414\n", | |
| "std 1631426.846947 0.114771 52291.005206\n", | |
| "min 0.000000 0.008209 0.015004\n", | |
| "25% 135801.000000 0.021281 372.421000\n", | |
| "50% 299681.000000 0.054703 1677.280000\n", | |
| "75% 693279.000000 0.098268 8473.070000\n", | |
| "max 10894972.000000 0.853845 518178.000000\n", | |
| " market_cap price volume\n", | |
| "count 678.000000 678.000000 678.000000\n", | |
| "mean 181785.390855 0.003129 2796.368458\n", | |
| "std 110634.500634 0.001921 8948.466620\n", | |
| "min 32184.000000 0.000560 0.131527\n", | |
| "25% 110664.750000 0.001866 123.284750\n", | |
| "50% 144257.500000 0.002479 364.542000\n", | |
| "75% 243238.250000 0.004186 1511.767500\n", | |
| "max 668209.000000 0.012132 101457.000000\n", | |
| " market_cap price volume\n", | |
| "count 830.000000 830.000000 830.000000\n", | |
| "mean 1075020.474699 0.960274 81644.863749\n", | |
| "std 775300.862662 0.130496 274539.322385\n", | |
| "min 0.000000 0.166571 9.735790\n", | |
| "25% 630776.250000 0.992518 4772.917500\n", | |
| "50% 756580.500000 0.997583 12699.700000\n", | |
| "75% 1597955.750000 1.001635 35773.875000\n", | |
| "max 6318388.000000 1.217240 3954800.000000\n", | |
| " market_cap price volume\n", | |
| "count 637.000000 637.000000 637.000000\n", | |
| "mean 7583.483516 0.001342 57.138709\n", | |
| "std 12048.246321 0.002236 191.186401\n", | |
| "min 308.000000 0.000050 0.000831\n", | |
| "25% 963.000000 0.000157 2.233010\n", | |
| "50% 2498.000000 0.000406 8.346170\n", | |
| "75% 6455.000000 0.001050 30.520100\n", | |
| "max 62921.000000 0.012245 2713.980000\n", | |
| " market_cap price volume\n", | |
| "count 859.000000 859.000000 859.000000\n", | |
| "mean 95517.376019 0.025217 7380.352968\n", | |
| "std 114682.397261 0.036937 54168.595279\n", | |
| "min 0.000000 0.000625 4.326700\n", | |
| "25% 16598.500000 0.002768 101.423000\n", | |
| "50% 32295.000000 0.006322 420.589000\n", | |
| "75% 173918.500000 0.027297 2406.195000\n", | |
| "max 1065255.000000 0.330329 1314300.000000\n", | |
| " market_cap price volume\n", | |
| "count 1092.000000 1092.000000 1092.000000\n", | |
| "mean 303060.525641 0.001107 3001.224266\n", | |
| "std 563744.874171 0.002861 10196.989409\n", | |
| "min 27190.000000 0.000045 0.000000\n", | |
| "25% 112383.500000 0.000216 138.089250\n", | |
| "50% 152658.500000 0.000373 354.222000\n", | |
| "75% 241449.750000 0.000606 1163.785000\n", | |
| "max 5711560.000000 0.029611 186252.000000\n", | |
| " market_cap price volume\n", | |
| "count 602.000000 602.000000 6.020000e+02\n", | |
| "mean 27249.234219 0.000010 6.716957e+01\n", | |
| "std 21097.731838 0.000008 2.585644e+02\n", | |
| "min 2156.000000 0.000002 6.062360e-08\n", | |
| "25% 8792.750000 0.000005 8.571407e-01\n", | |
| "50% 21465.500000 0.000007 6.397340e+00\n", | |
| "75% 37587.500000 0.000012 3.219230e+01\n", | |
| "max 82277.000000 0.000055 3.292340e+03\n", | |
| " market_cap price volume\n", | |
| "count 994.000000 994.000000 994.000000\n", | |
| "mean 1462616.789738 0.004802 13413.326429\n", | |
| "std 3497836.266787 0.010594 63218.246814\n", | |
| "min 34643.000000 0.000400 54.138000\n", | |
| "25% 221579.000000 0.000975 633.789500\n", | |
| "50% 335157.500000 0.001554 1233.875000\n", | |
| "75% 604334.000000 0.002140 3100.700000\n", | |
| "max 22254878.000000 0.069009 1082640.000000\n", | |
| " market_cap price volume\n", | |
| "count 363.000000 363.000000 363.000000\n", | |
| "mean 2487.898072 0.000337 152.118001\n", | |
| "std 2811.075652 0.000761 1042.345030\n", | |
| "min 0.000000 0.000034 0.000248\n", | |
| "25% 922.000000 0.000066 0.263330\n", | |
| "50% 1670.000000 0.000120 2.790050\n", | |
| "75% 2659.500000 0.000257 26.941800\n", | |
| "max 23910.000000 0.007407 15493.700000\n", | |
| " market_cap price volume\n", | |
| "count 1336.000000 1336.000000 1336.000000\n", | |
| "mean 9868519.854042 1.085148 141106.828698\n", | |
| "std 11117148.464095 1.484026 778210.837365\n", | |
| "min 1943616.000000 0.169445 0.000000\n", | |
| "25% 4358208.500000 0.384877 6516.300000\n", | |
| "50% 5574502.000000 0.489977 20049.000000\n", | |
| "75% 9560784.000000 0.970681 56452.400000\n", | |
| "max 97214979.000000 13.105900 21429500.000000\n", | |
| " market_cap price volume\n", | |
| "count 1033.000000 1033.000000 1033.000000\n", | |
| "mean 103224.509197 0.000062 2186.911077\n", | |
| "std 74797.766178 0.000085 8924.468758\n", | |
| "min 16754.000000 0.000008 0.000970\n", | |
| "25% 47119.000000 0.000021 74.530100\n", | |
| "50% 80333.000000 0.000038 364.100000\n", | |
| "75% 140962.000000 0.000076 1252.660000\n", | |
| "max 603451.000000 0.001128 159405.000000\n", | |
| " market_cap price volume\n", | |
| "count 626.000000 626.000000 626.000000\n", | |
| "mean 114612.616613 0.000122 783.123553\n", | |
| "std 106988.227023 0.000117 2715.730104\n", | |
| "min 0.000000 0.000012 0.001335\n", | |
| "25% 39667.000000 0.000040 6.367397\n", | |
| "50% 77399.000000 0.000078 68.453850\n", | |
| "75% 154421.500000 0.000160 328.339750\n", | |
| "max 666154.000000 0.000666 25961.300000\n", | |
| " market_cap price volume\n", | |
| "count 1023.000000 1023.000000 1023.000000\n", | |
| "mean 790950.876833 0.007702 2492.660478\n", | |
| "std 438394.207974 0.004220 13136.670029\n", | |
| "min 16862.000000 0.000270 3.237920\n", | |
| "25% 464204.500000 0.004756 597.535000\n", | |
| "50% 743907.000000 0.006911 1011.610000\n", | |
| "75% 1134335.500000 0.010683 1869.400000\n", | |
| "max 2371061.000000 0.021381 349683.000000\n", | |
| " market_cap price volume\n", | |
| "count 323.000000 323.000000 323.000000\n", | |
| "mean 31827.173375 0.055713 281.661333\n", | |
| "std 18963.470955 0.032190 812.632160\n", | |
| "min 4173.000000 0.007568 0.032014\n", | |
| "25% 19450.000000 0.033935 5.962885\n", | |
| "50% 28066.000000 0.047580 37.125200\n", | |
| "75% 37975.500000 0.068642 160.261000\n", | |
| "max 117504.000000 0.157969 8812.350000\n", | |
| " market_cap price volume\n", | |
| "count 722.000000 722.000000 722.000000\n", | |
| "mean 17666.119114 0.008899 196.604915\n", | |
| "std 40975.249112 0.021381 788.250206\n", | |
| "min 294.000000 0.000131 0.000000\n", | |
| "25% 1546.000000 0.000827 0.063535\n", | |
| "50% 3447.500000 0.001924 2.517210\n", | |
| "75% 11868.250000 0.006251 39.761225\n", | |
| "max 400836.000000 0.218974 10111.300000\n", | |
| " market_cap price volume\n", | |
| "count 708.000000 708.000000 708.000000\n", | |
| "mean 97787.026836 0.041313 957.362122\n", | |
| "std 104476.089314 0.046065 3191.596437\n", | |
| "min 5163.000000 0.002084 0.000135\n", | |
| "25% 16607.250000 0.006704 4.688895\n", | |
| "50% 47169.000000 0.019039 50.193100\n", | |
| "75% 165408.750000 0.068335 397.161500\n", | |
| "max 513797.000000 0.233609 43871.300000\n", | |
| " market_cap price volume\n", | |
| "count 798.000000 798.000000 798.000000\n", | |
| "mean 2066599.556391 0.002732 7900.941715\n", | |
| "std 1346592.651218 0.002110 27213.504210\n", | |
| "min 0.000000 0.000136 2.041800\n", | |
| "25% 735824.500000 0.000773 797.885500\n", | |
| "50% 1977541.500000 0.002501 2243.750000\n", | |
| "75% 2729083.750000 0.003565 6885.402500\n", | |
| "max 7249539.000000 0.011940 566870.000000\n", | |
| " market_cap price volume\n", | |
| "count 122 122.000000 122.000000\n", | |
| "mean 0 0.021074 19858.018135\n", | |
| "std 0 0.023513 39047.833794\n", | |
| "min 0 0.000924 16.513800\n", | |
| "25% 0 0.007796 486.398500\n", | |
| "50% 0 0.009269 1303.020000\n", | |
| "75% 0 0.029877 23551.450000\n", | |
| "max 0 0.125291 241168.000000\n", | |
| " market_cap price volume\n", | |
| "count 339.000000 339.000000 339.000000\n", | |
| "mean 903455.660767 0.004293 822.536271\n", | |
| "std 1407464.127911 0.006690 4201.863983\n", | |
| "min 6489.000000 0.000031 0.000262\n", | |
| "25% 28600.500000 0.000136 0.853857\n", | |
| "50% 78186.000000 0.000371 5.116040\n", | |
| "75% 1657766.000000 0.007877 71.283250\n", | |
| "max 11901490.000000 0.056601 53523.100000\n", | |
| " market_cap price volume\n", | |
| "count 617.000000 617.000000 617.000000\n", | |
| "mean 10784.499190 0.001975 285.170220\n", | |
| "std 6819.925137 0.003365 951.343931\n", | |
| "min 761.000000 0.000128 0.075118\n", | |
| "25% 6007.000000 0.000676 13.787900\n", | |
| "50% 9864.000000 0.000908 48.623200\n", | |
| "75% 14206.000000 0.001433 171.707000\n", | |
| "max 52541.000000 0.029627 16941.000000\n", | |
| " market_cap price volume\n", | |
| "count 1328.00000 1328.000000 1328.000000\n", | |
| "mean 1661154.08509 2.499261 58213.761834\n", | |
| "std 1984490.33702 3.775467 1012049.017164\n", | |
| "min 360996.00000 0.375783 0.000000\n", | |
| "25% 694437.75000 0.674874 1482.182500\n", | |
| "50% 1053934.00000 0.920843 5291.720000\n", | |
| "75% 1428997.00000 3.303262 14990.875000\n", | |
| "max 13118604.00000 26.126500 33791300.000000\n", | |
| " market_cap price volume\n", | |
| "count 696.000000 696.000000 696.000000\n", | |
| "mean 422354.943966 0.010551 1496.155068\n", | |
| "std 572196.759947 0.013272 3973.971360\n", | |
| "min 0.000000 0.000759 0.134046\n", | |
| "25% 32442.000000 0.001446 107.319250\n", | |
| "50% 54367.000000 0.002094 380.833000\n", | |
| "75% 907946.500000 0.021294 1581.417500\n", | |
| "max 2051413.000000 0.051717 56356.000000\n", | |
| " market_cap price volume\n", | |
| "count 1113.000000 1113.000000 1113.000000\n", | |
| "mean 19668884.900270 0.019672 117655.230791\n", | |
| "std 16590260.351286 0.016590 254896.157311\n", | |
| "min 2323130.000000 0.002323 0.000000\n", | |
| "25% 7887757.000000 0.007894 23813.000000\n", | |
| "50% 12252064.000000 0.012252 46349.700000\n", | |
| "75% 26165907.000000 0.026192 107553.000000\n", | |
| "max 93055415.000000 0.093056 4204800.000000\n", | |
| " market_cap price volume\n", | |
| "count 469.000000 469.000000 469.000000\n", | |
| "mean 27779.992537 0.039201 89.196845\n", | |
| "std 16109.545917 0.020708 375.533936\n", | |
| "min 0.000000 0.001598 0.004662\n", | |
| "25% 15169.000000 0.022562 0.490373\n", | |
| "50% 25616.000000 0.037076 4.177810\n", | |
| "75% 36226.000000 0.051009 33.994800\n", | |
| "max 126955.000000 0.142863 5676.050000\n", | |
| " market_cap price volume\n", | |
| "count 341.000000 341.000000 341.000000\n", | |
| "mean 268656.818182 0.268657 77.282412\n", | |
| "std 233524.467496 0.233524 167.190074\n", | |
| "min 32400.000000 0.032401 0.001043\n", | |
| "25% 113050.000000 0.113050 1.750750\n", | |
| "50% 170074.000000 0.170074 20.996200\n", | |
| "75% 381945.000000 0.381945 76.124500\n", | |
| "max 1090090.000000 1.090090 1434.690000\n", | |
| " market_cap price volume\n", | |
| "count 792.000000 792.000000 792.000000\n", | |
| "mean 289023.661616 0.000479 965.571343\n", | |
| "std 527283.823067 0.000977 3750.941857\n", | |
| "min 6215.000000 0.000006 0.001265\n", | |
| "25% 50670.500000 0.000051 6.764750\n", | |
| "50% 94335.500000 0.000094 54.902650\n", | |
| "75% 212958.750000 0.000221 311.926250\n", | |
| "max 3505780.000000 0.007489 68334.700000\n", | |
| " market_cap price volume\n", | |
| "count 599.000000 599.000000 599.000000\n", | |
| "mean 613979.872287 0.613980 379.731161\n", | |
| "std 684498.577373 0.684499 1161.743051\n", | |
| "min 24318.000000 0.024318 0.025676\n", | |
| "25% 140012.000000 0.140012 7.553625\n", | |
| "50% 420718.000000 0.420718 56.022700\n", | |
| "75% 681874.500000 0.681874 235.969000\n", | |
| "max 3706750.000000 3.706750 12371.800000\n", | |
| " market_cap price volume\n", | |
| "count 1047.000000 1047.000000 1047.000000\n", | |
| "mean 19864.173830 0.000314 176.237282\n", | |
| "std 34483.099636 0.001448 783.524581\n", | |
| "min 525.000000 0.000003 0.006309\n", | |
| "25% 6817.000000 0.000033 6.013090\n", | |
| "50% 14358.000000 0.000060 23.621100\n", | |
| "75% 18394.500000 0.000093 77.756350\n", | |
| "max 336856.000000 0.014763 10288.700000\n", | |
| " market_cap price volume\n", | |
| "count 944.000000 9.440000e+02 944.000000\n", | |
| "mean 38890.887712 4.610065e-07 16.826265\n", | |
| "std 115418.878212 1.351124e-06 52.538558\n", | |
| "min 328.000000 3.378600e-09 0.000001\n", | |
| "25% 4872.000000 6.205107e-08 1.705385\n", | |
| "50% 7177.500000 9.801105e-08 4.149650\n", | |
| "75% 11679.250000 1.371850e-07 13.009400\n", | |
| "max 584038.000000 6.591430e-06 935.031000\n", | |
| " market_cap price volume\n", | |
| "count 389.000000 389.000000 389.000000\n", | |
| "mean 540672.791774 0.088233 2070.846394\n", | |
| "std 171242.460417 0.018650 3907.612804\n", | |
| "min 0.000000 0.043441 0.008161\n", | |
| "25% 451064.000000 0.072363 249.592000\n", | |
| "50% 559727.000000 0.089511 843.571000\n", | |
| "75% 664099.000000 0.101256 2204.560000\n", | |
| "max 861347.000000 0.155025 34583.500000\n", | |
| " market_cap price volume\n", | |
| "count 674.000000 674.000000 674.000000\n", | |
| "mean 37413.744807 0.000665 586.438992\n", | |
| "std 32182.132952 0.000587 2324.803928\n", | |
| "min 2835.000000 0.000054 0.115951\n", | |
| "25% 16350.500000 0.000283 4.813385\n", | |
| "50% 22596.500000 0.000393 42.112700\n", | |
| "75% 54091.750000 0.000973 349.411500\n", | |
| "max 263383.000000 0.004613 31106.500000\n", | |
| " market_cap price volume\n", | |
| "count 752.000000 752.000000 752.000000\n", | |
| "mean 101996.918883 0.001565 509.899020\n", | |
| "std 121115.248110 0.001746 1478.508675\n", | |
| "min 766.000000 0.000018 0.132702\n", | |
| "25% 15445.250000 0.000332 38.100100\n", | |
| "50% 41649.000000 0.000682 147.478500\n", | |
| "75% 163378.750000 0.002502 404.872000\n", | |
| "max 601077.000000 0.008642 23847.000000\n", | |
| " market_cap price volume\n", | |
| "count 83 83.000000 83.000000\n", | |
| "mean 0 0.086340 547.081343\n", | |
| "std 0 0.064577 2175.314139\n", | |
| "min 0 0.024204 0.117500\n", | |
| "25% 0 0.049927 12.879200\n", | |
| "50% 0 0.073510 100.931000\n", | |
| "75% 0 0.096861 350.432000\n", | |
| "max 0 0.535678 18375.400000\n", | |
| " market_cap price volume\n", | |
| "count 1.057000e+03 1057.000000 1057.000000\n", | |
| "mean 7.865851e+06 12.964413 7073.245835\n", | |
| "std 1.760173e+07 28.329869 23660.128070\n", | |
| "min 3.854850e+05 0.713199 0.000000\n", | |
| "25% 1.176758e+06 2.138260 156.861000\n", | |
| "50% 1.582457e+06 2.873290 752.702000\n", | |
| "75% 2.583471e+06 4.606560 3624.410000\n", | |
| "max 1.162004e+08 187.578000 258611.000000\n", | |
| " market_cap price volume\n", | |
| "count 825.000000 825.000000 825.000000\n", | |
| "mean 492956.280606 0.107461 21126.793057\n", | |
| "std 837840.954294 0.185473 104036.836328\n", | |
| "min 21779.000000 0.004790 0.718544\n", | |
| "25% 174359.000000 0.037929 193.575000\n", | |
| "50% 289682.000000 0.061599 521.997000\n", | |
| "75% 506963.000000 0.107847 2123.390000\n", | |
| "max 8422712.000000 1.863690 2051700.000000\n", | |
| " market_cap price volume\n", | |
| "count 965.000000 965.000000 965.000000\n", | |
| "mean 84981.626943 0.038308 309.449630\n", | |
| "std 68309.697711 0.031213 1179.140271\n", | |
| "min 13578.000000 0.006880 0.000000\n", | |
| "25% 32929.000000 0.016595 27.055600\n", | |
| "50% 60320.000000 0.029654 66.932400\n", | |
| "75% 123932.000000 0.049483 222.170000\n", | |
| "max 906334.000000 0.332013 24767.700000\n", | |
| " market_cap price volume\n", | |
| "count 229.000000 229.000000 229.000000\n", | |
| "mean 3628.681223 0.002282 27.352675\n", | |
| "std 13435.334056 0.006738 123.238005\n", | |
| "min 8.000000 0.000006 0.000073\n", | |
| "25% 752.000000 0.000382 0.008944\n", | |
| "50% 1848.000000 0.000856 0.140630\n", | |
| "75% 3533.000000 0.002029 3.715480\n", | |
| "max 199569.000000 0.092216 1420.310000\n", | |
| " market_cap price volume\n", | |
| "count 586.000000 586.000000 586.000000\n", | |
| "mean 4805.104096 0.001033 73.553724\n", | |
| "std 4436.246789 0.000981 432.277375\n", | |
| "min 615.000000 0.000130 0.000594\n", | |
| "25% 1783.500000 0.000376 1.955423\n", | |
| "50% 3161.500000 0.000667 12.008100\n", | |
| "75% 6041.500000 0.001275 47.556850\n", | |
| "max 52148.000000 0.011002 9832.920000\n", | |
| " market_cap price volume\n", | |
| "count 299.000000 299.000000 299.000000\n", | |
| "mean 350.354515 0.000021 50.612117\n", | |
| "std 480.868769 0.000067 237.528403\n", | |
| "min 59.000000 0.000002 0.022835\n", | |
| "25% 144.000000 0.000004 0.289959\n", | |
| "50% 226.000000 0.000007 1.065730\n", | |
| "75% 408.500000 0.000013 5.349985\n", | |
| "max 4406.000000 0.000612 2430.750000\n", | |
| " market_cap price volume\n", | |
| "count 142.000000 142.000000 142.000000\n", | |
| "mean 12966035.211268 14.032775 6902.386602\n", | |
| "std 5575027.756420 3.728731 9766.791215\n", | |
| "min 0.000000 8.255010 0.023751\n", | |
| "25% 12034775.000000 12.170200 1308.575000\n", | |
| "50% 13485750.000000 13.485750 3816.865000\n", | |
| "75% 14810800.000000 14.810800 8627.692500\n", | |
| "max 41499700.000000 41.499700 58126.600000\n", | |
| " market_cap price volume\n", | |
| "count 226.000000 226.000000 2.260000e+02\n", | |
| "mean 8591.442478 0.128530 1.167635e+04\n", | |
| "std 21151.596629 0.311112 4.892752e+04\n", | |
| "min 0.000000 0.000016 5.454090e-07\n", | |
| "25% 107.000000 0.000712 4.261935e-01\n", | |
| "50% 681.500000 0.002746 7.285660e+00\n", | |
| "75% 1773.500000 0.011663 7.621185e+01\n", | |
| "max 109805.000000 1.328080 4.200880e+05\n", | |
| " market_cap price volume\n", | |
| "count 673.000000 6.730000e+02 673.000000\n", | |
| "mean 2040.494799 4.845564e-07 5.397089\n", | |
| "std 1382.972094 7.162148e-07 13.920150\n", | |
| "min 273.000000 3.123980e-08 0.000010\n", | |
| "25% 1209.000000 1.561270e-07 0.186405\n", | |
| "50% 1579.000000 2.916580e-07 0.772441\n", | |
| "75% 2573.000000 4.345550e-07 3.763890\n", | |
| "max 15542.000000 6.433280e-06 170.555000\n", | |
| " market_cap price volume\n", | |
| "count 869.000000 869.000000 869.000000\n", | |
| "mean 34083.658803 0.000071 684.983864\n", | |
| "std 33241.793305 0.000069 6736.863908\n", | |
| "min 5411.000000 0.000011 0.000213\n", | |
| "25% 13312.000000 0.000028 1.562680\n", | |
| "50% 18649.000000 0.000039 13.904000\n", | |
| "75% 48672.000000 0.000101 102.223000\n", | |
| "max 217703.000000 0.000453 159265.000000\n", | |
| " market_cap price volume\n", | |
| "count 930.000000 930.000000 930.000000\n", | |
| "mean 93573.865591 0.000257 5100.270365\n", | |
| "std 62320.251231 0.000171 40565.738469\n", | |
| "min 8125.000000 0.000022 0.019667\n", | |
| "25% 51900.500000 0.000142 37.031075\n", | |
| "50% 72420.000000 0.000199 212.938500\n", | |
| "75% 119509.000000 0.000328 1200.602500\n", | |
| "max 418899.000000 0.001148 900255.000000\n", | |
| " market_cap price volume\n", | |
| "count 716.000000 716.000000 716.000000\n", | |
| "mean 12460.028631 0.001160 67.516883\n", | |
| "std 12619.941184 0.002005 210.486353\n", | |
| "min 722.000000 0.000064 0.000024\n", | |
| "25% 5414.750000 0.000353 1.359680\n", | |
| "50% 8535.500000 0.000552 7.482700\n", | |
| "75% 12992.000000 0.000880 32.844800\n", | |
| "max 65730.000000 0.012426 2120.720000\n", | |
| " market_cap price volume\n", | |
| "count 375.000000 375.000000 375.000000\n", | |
| "mean 332022.077333 0.000592 763.185837\n", | |
| "std 390756.371240 0.000291 2364.180497\n", | |
| "min 0.000000 0.000189 0.000002\n", | |
| "25% 0.000000 0.000298 0.917895\n", | |
| "50% 0.000000 0.000654 7.834440\n", | |
| "75% 591900.000000 0.000794 322.919500\n", | |
| "max 1656546.000000 0.001304 27914.200000\n", | |
| " market_cap price volume\n", | |
| "count 92.000000 92.000000 92.000000\n", | |
| "mean 767460.554348 1.675318 2013.137435\n", | |
| "std 891869.268481 0.547998 3404.005325\n", | |
| "min 0.000000 0.117455 0.010987\n", | |
| "25% 0.000000 1.287435 194.437250\n", | |
| "50% 0.000000 1.591495 1029.280000\n", | |
| "75% 1605038.000000 1.944808 2276.515000\n", | |
| "max 2768994.000000 3.257640 21634.400000\n", | |
| " market_cap price volume\n", | |
| "count 73.000000 73.000000 73.000000\n", | |
| "mean 11281.664384 0.010892 3.775172\n", | |
| "std 12459.735700 0.012029 11.395861\n", | |
| "min 335.000000 0.000324 0.000002\n", | |
| "25% 1677.000000 0.001619 0.027213\n", | |
| "50% 3586.000000 0.003462 0.246823\n", | |
| "75% 27047.000000 0.026111 1.558790\n", | |
| "max 39208.000000 0.037852 73.535600\n", | |
| " market_cap price volume\n", | |
| "count 719.000000 7.190000e+02 719.000000\n", | |
| "mean 9953.058414 3.192951e-06 18.817973\n", | |
| "std 9160.461329 2.972078e-06 79.830128\n", | |
| "min 1044.000000 3.276700e-07 0.000001\n", | |
| "25% 2922.000000 8.982005e-07 0.175385\n", | |
| "50% 7279.000000 2.339610e-06 0.947759\n", | |
| "75% 13713.500000 4.412580e-06 5.282500\n", | |
| "max 72996.000000 2.495410e-05 1289.600000\n", | |
| " market_cap price volume\n", | |
| "count 1039.000000 1039.000000 1039.000000\n", | |
| "mean 525379.646776 0.003247 38467.530272\n", | |
| "std 710734.031701 0.003898 295832.985585\n", | |
| "min 76488.000000 0.000360 6.495750\n", | |
| "25% 170586.000000 0.000846 596.197000\n", | |
| "50% 267168.000000 0.001356 2086.460000\n", | |
| "75% 466205.500000 0.004076 7864.340000\n", | |
| "max 6946895.000000 0.032402 6916150.000000\n", | |
| " market_cap price volume\n", | |
| "count 1.326000e+03 1326.000000 1326.000000\n", | |
| "mean 1.981177e+07 0.918953 187920.281229\n", | |
| "std 2.673931e+07 1.276468 653368.953266\n", | |
| "min 2.052718e+06 0.106456 0.000000\n", | |
| "25% 7.189065e+06 0.319026 17221.675000\n", | |
| "50% 9.423864e+06 0.412196 45198.550000\n", | |
| "75% 1.702938e+07 0.780698 110174.000000\n", | |
| "max 1.573680e+08 7.552170 13113600.000000\n", | |
| " market_cap price volume\n", | |
| "count 391.000000 391.000000 391.000000\n", | |
| "mean 131813.548593 0.329535 132.350354\n", | |
| "std 104716.168843 0.261790 358.319757\n", | |
| "min 15368.000000 0.038422 0.006940\n", | |
| "25% 53622.500000 0.134057 3.158170\n", | |
| "50% 98063.000000 0.245158 16.317300\n", | |
| "75% 203569.000000 0.508922 80.847800\n", | |
| "max 510129.000000 1.275320 3501.210000\n", | |
| " market_cap price volume\n", | |
| "count 708.000000 708.000000 708.000000\n", | |
| "mean 164632.776836 0.000236 1237.376868\n", | |
| "std 336400.201666 0.000485 4821.412711\n", | |
| "min 7784.000000 0.000011 0.000054\n", | |
| "25% 18468.750000 0.000026 1.837388\n", | |
| "50% 32056.000000 0.000045 16.322100\n", | |
| "75% 64750.500000 0.000091 171.997500\n", | |
| "max 2866478.000000 0.004146 67754.800000\n", | |
| " market_cap price volume\n", | |
| "count 1030.000000 1030.000000 1030.000000\n", | |
| "mean 67993.810680 0.002050 476.616274\n", | |
| "std 118652.682835 0.006142 2900.808331\n", | |
| "min 11306.000000 0.000081 0.285464\n", | |
| "25% 21597.000000 0.000180 16.422500\n", | |
| "50% 27367.500000 0.000232 73.434600\n", | |
| "75% 43892.500000 0.000449 233.458250\n", | |
| "max 884768.000000 0.065465 81197.900000\n", | |
| " market_cap price volume\n", | |
| "count 1207.000000 1207.000000 1207.000000\n", | |
| "mean 22929.638774 0.002967 154.872349\n", | |
| "std 49651.527557 0.008352 708.973607\n", | |
| "min 46.000000 0.000049 0.000000\n", | |
| "25% 5897.500000 0.000149 0.906914\n", | |
| "50% 7962.000000 0.000267 10.501400\n", | |
| "75% 16342.500000 0.001194 53.362750\n", | |
| "max 656802.000000 0.102506 16510.900000\n", | |
| " market_cap price volume\n", | |
| "count 819.000000 819.000000 819.000000\n", | |
| "mean 4256.472527 0.001054 499.060475\n", | |
| "std 3761.721033 0.000838 2242.973531\n", | |
| "min 0.000000 0.000054 0.205297\n", | |
| "25% 1103.000000 0.000299 38.715400\n", | |
| "50% 3556.000000 0.000949 99.522100\n", | |
| "75% 6654.500000 0.001591 220.173500\n", | |
| "max 29819.000000 0.006591 30633.500000\n", | |
| " market_cap price volume\n", | |
| "count 335.000000 335.000000 335.000000\n", | |
| "mean 2707.749254 0.001534 70.949713\n", | |
| "std 3798.697361 0.002339 356.101537\n", | |
| "min 511.000000 0.000274 0.000482\n", | |
| "25% 1351.000000 0.000724 0.912421\n", | |
| "50% 1663.000000 0.000892 4.470110\n", | |
| "75% 2313.500000 0.001241 14.300050\n", | |
| "max 38106.000000 0.023143 4908.010000\n", | |
| " market_cap price volume\n", | |
| "count 244.000000 244.000000 244.000000\n", | |
| "mean 10189.463115 0.000903 31.185959\n", | |
| "std 12063.465689 0.001098 89.217759\n", | |
| "min 775.000000 0.000066 0.007827\n", | |
| "25% 2347.750000 0.000204 0.746712\n", | |
| "50% 6669.000000 0.000577 6.266850\n", | |
| "75% 12236.000000 0.001058 28.660675\n", | |
| "max 86963.000000 0.007904 1054.390000\n", | |
| " market_cap price volume\n", | |
| "count 847.000000 847.000000 847.000000\n", | |
| "mean 47410.584416 0.091606 1013.530201\n", | |
| "std 26767.283724 0.051218 6676.498441\n", | |
| "min 8517.000000 0.016615 0.059989\n", | |
| "25% 27730.000000 0.054454 27.794950\n", | |
| "50% 42588.000000 0.082578 93.828700\n", | |
| "75% 60682.500000 0.117815 430.714500\n", | |
| "max 148747.000000 0.289504 179258.000000\n", | |
| " market_cap price volume\n", | |
| "count 900.000000 900.000000 900.000000\n", | |
| "mean 15444.415556 0.034770 249.337374\n", | |
| "std 31719.508395 0.232368 3001.286310\n", | |
| "min 1623.000000 0.000639 0.000356\n", | |
| "25% 3382.500000 0.001668 2.722500\n", | |
| "50% 7806.500000 0.002607 8.172040\n", | |
| "75% 19481.500000 0.005182 22.250625\n", | |
| "max 555561.000000 4.681820 84873.400000\n", | |
| " market_cap price volume\n", | |
| "count 911.000000 911.000000 911.000000\n", | |
| "mean 598169.034029 0.000060 8583.941340\n", | |
| "std 610981.845717 0.000061 38371.618881\n", | |
| "min 79420.000000 0.000008 0.000338\n", | |
| "25% 209992.000000 0.000021 309.696500\n", | |
| "50% 452034.000000 0.000045 1575.230000\n", | |
| "75% 752194.500000 0.000075 5652.345000\n", | |
| "max 5086490.000000 0.000509 718418.000000\n", | |
| " market_cap price volume\n", | |
| "count 1206.000000 1206.000000 1206.000000\n", | |
| "mean 3024214.003317 0.012214 14717.379553\n", | |
| "std 6512519.477970 0.026406 39667.066799\n", | |
| "min 22864.000000 0.000095 0.000000\n", | |
| "25% 580179.000000 0.002329 632.668250\n", | |
| "50% 1048915.500000 0.004196 2858.640000\n", | |
| "75% 1692836.000000 0.006818 9547.660000\n", | |
| "max 60645764.000000 0.246855 404596.000000\n", | |
| " market_cap price volume\n", | |
| "count 410.000000 410.000000 410.000000\n", | |
| "mean 13617.356098 0.003936 455.065071\n", | |
| "std 16812.259030 0.004879 1376.047010\n", | |
| "min 1275.000000 0.000367 0.074151\n", | |
| "25% 4408.500000 0.001266 9.432523\n", | |
| "50% 6915.500000 0.001988 59.331350\n", | |
| "75% 13229.250000 0.003822 328.921250\n", | |
| "max 110592.000000 0.032100 16812.800000\n", | |
| " market_cap price volume\n", | |
| "count 904.000000 904.000000 904.000000\n", | |
| "mean 40529.794248 0.011701 1821.095362\n", | |
| "std 32071.287854 0.014329 9574.520261\n", | |
| "min 1218.000000 0.001153 1.407300\n", | |
| "25% 16543.500000 0.003880 141.200000\n", | |
| "50% 27191.500000 0.006822 407.050500\n", | |
| "75% 58872.250000 0.014780 1127.460000\n", | |
| "max 215683.000000 0.143351 258848.000000\n", | |
| " market_cap price volume\n", | |
| "count 354.000000 354.000000 354.000000\n", | |
| "mean 958818.059322 0.337705 28071.529121\n", | |
| "std 362827.872776 0.129772 76899.296965\n", | |
| "min 0.000000 0.007830 176.445000\n", | |
| "25% 840278.000000 0.294057 3008.150000\n", | |
| "50% 961242.000000 0.328885 6466.070000\n", | |
| "75% 1139135.750000 0.397525 18109.000000\n", | |
| "max 2410466.000000 0.898530 789202.000000\n", | |
| " market_cap price volume\n", | |
| "count 431.000000 4.310000e+02 431.000000\n", | |
| "mean 24684.445476 2.465344e-07 52.489459\n", | |
| "std 13525.128159 1.345029e-07 152.039869\n", | |
| "min 3490.000000 3.476740e-08 0.000002\n", | |
| "25% 15599.500000 1.548935e-07 0.491235\n", | |
| "50% 21136.000000 2.133260e-07 5.222470\n", | |
| "75% 29421.000000 2.967755e-07 29.022650\n", | |
| "max 87498.000000 8.687730e-07 1453.770000\n", | |
| " market_cap price volume\n", | |
| "count 318.000000 318.000000 318.000000\n", | |
| "mean 88322.440252 0.013642 1623.672301\n", | |
| "std 57660.227194 0.013063 5063.309464\n", | |
| "min 0.000000 0.001466 0.390915\n", | |
| "25% 56996.000000 0.005978 281.668750\n", | |
| "50% 74384.500000 0.007815 520.561500\n", | |
| "75% 100944.750000 0.015675 1247.487500\n", | |
| "max 344879.000000 0.068806 49009.600000\n", | |
| " market_cap price volume\n", | |
| "count 539.000000 539.000000 539.000000\n", | |
| "mean 173542.196660 0.000441 4352.627521\n", | |
| "std 181467.650138 0.000450 21992.795657\n", | |
| "min 0.000000 0.000037 0.126914\n", | |
| "25% 57744.000000 0.000151 40.686900\n", | |
| "50% 111016.000000 0.000282 302.884000\n", | |
| "75% 262245.000000 0.000656 1899.270000\n", | |
| "max 1555640.000000 0.003889 396844.000000\n", | |
| " market_cap price volume\n", | |
| "count 772.000000 772.000000 772.000000\n", | |
| "mean 1099414.471503 0.012701 218.265550\n", | |
| "std 1027677.129622 0.033748 1034.418071\n", | |
| "min 0.000000 0.000319 0.000290\n", | |
| "25% 310233.250000 0.005469 6.516502\n", | |
| "50% 1065802.000000 0.009753 32.985050\n", | |
| "75% 1394063.250000 0.012644 101.297250\n", | |
| "max 6776707.000000 0.853592 13506.900000\n", | |
| " market_cap price volume\n", | |
| "count 1011.000000 1011.000000 1011.000000\n", | |
| "mean 1493860.695351 0.064859 3980.334743\n", | |
| "std 1630245.156419 0.070235 13093.949253\n", | |
| "min 4527.000000 0.000454 0.110796\n", | |
| "25% 63313.000000 0.002895 358.339500\n", | |
| "50% 138077.000000 0.006511 1479.800000\n", | |
| "75% 3053004.500000 0.132275 3745.085000\n", | |
| "max 6085926.000000 0.255003 258401.000000\n", | |
| " market_cap price volume\n", | |
| "count 1047.000000 1047.000000 1047.000000\n", | |
| "mean 878153.548233 0.000033 12718.931581\n", | |
| "std 651952.918247 0.000024 44291.703802\n", | |
| "min 163614.000000 0.000007 36.007000\n", | |
| "25% 422700.500000 0.000017 1392.330000\n", | |
| "50% 733129.000000 0.000030 3296.610000\n", | |
| "75% 1135036.500000 0.000042 6919.035000\n", | |
| "max 5774950.000000 0.000215 489070.000000\n", | |
| " market_cap price volume\n", | |
| "count 999.000000 999.000000 999.000000\n", | |
| "mean 63473.507508 0.001346 849.789577\n", | |
| "std 75176.560599 0.002204 3237.523801\n", | |
| "min 811.000000 0.000034 0.000199\n", | |
| "25% 24577.500000 0.000397 7.171405\n", | |
| "50% 46445.000000 0.000712 36.044900\n", | |
| "75% 68354.000000 0.001100 197.909500\n", | |
| "max 503361.000000 0.015717 47888.600000\n", | |
| " market_cap price volume\n", | |
| "count 3.240000e+02 324.000000 324.000000\n", | |
| "mean 1.387439e+07 5.474556 230780.665140\n", | |
| "std 2.310442e+07 3.536865 1030722.272221\n", | |
| "min 0.000000e+00 1.469790 1.086550\n", | |
| "25% 0.000000e+00 2.386557 727.099250\n", | |
| "50% 0.000000e+00 4.452830 6082.475000\n", | |
| "75% 3.344982e+07 7.886773 108867.750000\n", | |
| "max 1.099471e+08 18.044500 12416300.000000\n", | |
| " market_cap price volume\n", | |
| "count 1033.000000 1033.000000 1033.000000\n", | |
| "mean 192904.726041 0.021717 3225.180353\n", | |
| "std 127543.055910 0.049018 12805.627062\n", | |
| "min 23653.000000 0.001899 19.352100\n", | |
| "25% 67477.000000 0.007827 397.186000\n", | |
| "50% 156692.000000 0.011331 904.546000\n", | |
| "75% 304614.000000 0.015611 2325.010000\n", | |
| "max 500051.000000 0.565379 236180.000000\n", | |
| " market_cap price volume\n", | |
| "count 402.000000 402.000000 402.000000\n", | |
| "mean 43584.486318 0.000471 33.854094\n", | |
| "std 19369.522253 0.000244 79.846536\n", | |
| "min 8409.000000 0.000082 0.000230\n", | |
| "25% 30564.500000 0.000315 0.888804\n", | |
| "50% 38661.500000 0.000419 7.371735\n", | |
| "75% 52057.500000 0.000536 25.744900\n", | |
| "max 125741.000000 0.001706 904.533000\n", | |
| " market_cap price volume\n", | |
| "count 490.000000 490.000000 490.000000\n", | |
| "mean 2546.420408 0.000410 115.690170\n", | |
| "std 2636.025782 0.000645 590.913440\n", | |
| "min 479.000000 0.000055 0.005487\n", | |
| "25% 1426.000000 0.000181 1.375130\n", | |
| "50% 1810.000000 0.000218 4.744820\n", | |
| "75% 2397.750000 0.000296 34.227750\n", | |
| "max 31336.000000 0.007863 9602.700000\n", | |
| " market_cap price volume\n", | |
| "count 190.000000 190.000000 190.000000\n", | |
| "mean 547868.568421 0.005339 5375.015687\n", | |
| "std 222801.589070 0.002240 12171.155618\n", | |
| "min 212514.000000 0.002030 1.167300\n", | |
| "25% 315988.750000 0.003020 602.619500\n", | |
| "50% 592978.000000 0.005761 2037.665000\n", | |
| "75% 697964.500000 0.006818 6031.100000\n", | |
| "max 1029319.000000 0.010245 144762.000000\n", | |
| " market_cap price volume\n", | |
| "count 414.000000 414.000000 414.000000\n", | |
| "mean 19477.391304 0.010626 938.494823\n", | |
| "std 30485.091974 0.016883 5524.150252\n", | |
| "min 0.000000 0.000295 0.103192\n", | |
| "25% 4941.500000 0.002558 4.665215\n", | |
| "50% 6807.000000 0.003576 32.749500\n", | |
| "75% 15590.750000 0.008218 171.657750\n", | |
| "max 162038.000000 0.091466 65057.700000\n", | |
| " market_cap price volume\n", | |
| "count 539.000000 539.000000 539.000000\n", | |
| "mean 4216.228200 0.000056 306.228232\n", | |
| "std 3385.853268 0.000045 1668.604178\n", | |
| "min 0.000000 0.000007 0.045186\n", | |
| "25% 2162.000000 0.000029 3.008035\n", | |
| "50% 3641.000000 0.000049 21.368500\n", | |
| "75% 5341.000000 0.000071 104.458500\n", | |
| "max 37149.000000 0.000490 22828.100000\n", | |
| " market_cap price volume\n", | |
| "count 977.000000 977.000000 977.000000\n", | |
| "mean 19045.113613 0.839589 933.830947\n", | |
| "std 51582.044741 3.668832 6003.029864\n", | |
| "min 0.000000 0.000443 0.010930\n", | |
| "25% 2956.000000 0.007484 4.525640\n", | |
| "50% 4587.000000 0.018959 21.333300\n", | |
| "75% 7336.000000 0.045556 88.956400\n", | |
| "max 468939.000000 41.511200 108375.000000\n", | |
| " market_cap price volume\n", | |
| "count 500.000000 500.000000 500.000000\n", | |
| "mean 4123.758000 0.145327 102.017018\n", | |
| "std 6598.862968 0.422958 411.897625\n", | |
| "min 362.000000 0.005566 0.000041\n", | |
| "25% 1114.000000 0.017101 0.305463\n", | |
| "50% 1546.500000 0.023843 3.470345\n", | |
| "75% 3797.250000 0.077262 30.797025\n", | |
| "max 40070.000000 3.444880 4766.230000\n", | |
| " market_cap price volume\n", | |
| "count 540.000000 540.000000 540.000000\n", | |
| "mean 104687.958333 0.059953 9383.568558\n", | |
| "std 203808.937021 0.139329 60113.582579\n", | |
| "min 2594.000000 0.001297 0.000055\n", | |
| "25% 5868.875000 0.002935 8.950843\n", | |
| "50% 12847.500000 0.006424 51.020000\n", | |
| "75% 40588.250000 0.020295 877.506250\n", | |
| "max 1381430.000000 1.334200 1090420.000000\n", | |
| " market_cap price volume\n", | |
| "count 457.000000 457.000000 457.000000\n", | |
| "mean 14637.673961 0.001870 70.745704\n", | |
| "std 19029.683360 0.002464 209.678601\n", | |
| "min 1964.000000 0.000250 0.000129\n", | |
| "25% 6948.000000 0.000883 0.389133\n", | |
| "50% 9522.000000 0.001210 3.613820\n", | |
| "75% 13894.000000 0.001766 33.887100\n", | |
| "max 139920.000000 0.018133 1834.910000\n", | |
| " market_cap price volume\n", | |
| "count 496.000000 496.000000 496.000000\n", | |
| "mean 4092049.788306 0.000244 133147.775714\n", | |
| "std 4217848.817367 0.000242 351254.189850\n", | |
| "min 0.000000 0.000013 10.295700\n", | |
| "25% 223380.000000 0.000033 3244.175000\n", | |
| "50% 1531160.000000 0.000119 29281.250000\n", | |
| "75% 8122182.750000 0.000440 85360.600000\n", | |
| "max 16734475.000000 0.001083 3344560.000000\n", | |
| " market_cap price volume\n", | |
| "count 746.000000 7.460000e+02 7.460000e+02\n", | |
| "mean 851909.482574 8.586708e-04 1.440874e+03\n", | |
| "std 862721.616681 8.575762e-04 7.695395e+03\n", | |
| "min 891.000000 8.910940e-07 2.424780e-07\n", | |
| "25% 91938.500000 9.640085e-05 4.682457e+01\n", | |
| "50% 448930.000000 4.508685e-04 2.650565e+02\n", | |
| "75% 1541935.000000 1.541935e-03 1.083690e+03\n", | |
| "max 5835230.000000 5.835230e-03 1.802010e+05\n", | |
| " market_cap price volume\n", | |
| "count 261.000000 261.000000 261.000000\n", | |
| "mean 445961.931034 335.712856 485.118419\n", | |
| "std 302341.723261 223.032920 2088.652759\n", | |
| "min 157.000000 0.113961 0.018370\n", | |
| "25% 272982.000000 207.574000 2.699430\n", | |
| "50% 346084.000000 263.593000 29.268900\n", | |
| "75% 516418.000000 387.013000 179.786000\n", | |
| "max 1630750.000000 1194.530000 28585.700000\n", | |
| " market_cap price volume\n", | |
| "count 829.000000 829.000000 829.000000\n", | |
| "mean 32955.386007 0.002126 1047.548200\n", | |
| "std 46973.319286 0.003475 4708.734319\n", | |
| "min 3291.000000 0.000161 0.070371\n", | |
| "25% 10586.000000 0.000519 6.097790\n", | |
| "50% 14373.000000 0.000705 29.745500\n", | |
| "75% 22630.000000 0.001169 222.898000\n", | |
| "max 278945.000000 0.020675 78635.300000\n", | |
| " market_cap price volume\n", | |
| "count 410.000000 410.000000 410.000000\n", | |
| "mean 10026.417073 0.000028 26.136849\n", | |
| "std 12594.722916 0.000036 87.920493\n", | |
| "min 842.000000 0.000002 0.000249\n", | |
| "25% 4593.000000 0.000013 0.171920\n", | |
| "50% 6201.500000 0.000017 1.521295\n", | |
| "75% 9729.250000 0.000027 8.966542\n", | |
| "max 82238.000000 0.000238 774.185000\n", | |
| " market_cap price volume\n", | |
| "count 320.000000 320.000000 320.000000\n", | |
| "mean 2640.339063 0.003356 367.144941\n", | |
| "std 3992.744871 0.010939 1785.608674\n", | |
| "min 0.000000 0.000435 0.000065\n", | |
| "25% 1350.250000 0.000873 0.070885\n", | |
| "50% 1904.000000 0.001202 1.155340\n", | |
| "75% 2506.250000 0.001678 11.690400\n", | |
| "max 35861.000000 0.131824 19392.100000\n", | |
| " market_cap price volume\n", | |
| "count 396.000000 396.000000 396.000000\n", | |
| "mean 6977.724747 0.006418 2346.208287\n", | |
| "std 18928.733261 0.017484 29481.982573\n", | |
| "min 1108.000000 0.001012 0.000142\n", | |
| "25% 2539.750000 0.002319 0.094091\n", | |
| "50% 3697.000000 0.003385 2.208215\n", | |
| "75% 5835.250000 0.005366 28.250475\n", | |
| "max 242712.000000 0.224162 547879.000000\n", | |
| " market_cap price volume\n", | |
| "count 468.000000 468.000000 468.000000\n", | |
| "mean 268347.309829 0.024553 3180.741007\n", | |
| "std 310461.093768 0.025785 7280.413837\n", | |
| "min 66.000000 0.003135 6.127600\n", | |
| "25% 52577.250000 0.006895 221.595750\n", | |
| "50% 149428.500000 0.012870 578.761500\n", | |
| "75% 310626.250000 0.030232 2332.200000\n", | |
| "max 2000138.000000 0.152808 67389.100000\n", | |
| " market_cap price volume\n", | |
| "count 103.000000 103.000000 103.000000\n", | |
| "mean 232336.174757 0.006979 1272.675939\n", | |
| "std 119410.449095 0.001504 2440.265513\n", | |
| "min 0.000000 0.004183 1.262320\n", | |
| "25% 188445.000000 0.006227 299.868500\n", | |
| "50% 276218.000000 0.007071 614.708000\n", | |
| "75% 323661.000000 0.007633 1232.225000\n", | |
| "max 401399.000000 0.014413 16451.200000\n", | |
| " market_cap price volume\n", | |
| "count 820.000000 820.000000 8.200000e+02\n", | |
| "mean 27983.781707 0.008036 2.241525e+02\n", | |
| "std 18031.156101 0.006014 8.802386e+02\n", | |
| "min 0.000000 0.001262 2.499180e-07\n", | |
| "25% 18113.000000 0.005055 8.958802e+00\n", | |
| "50% 24726.000000 0.006836 4.366225e+01\n", | |
| "75% 34715.500000 0.009536 1.839175e+02\n", | |
| "max 292826.000000 0.080873 1.805160e+04\n", | |
| " market_cap price volume\n", | |
| "count 565.000000 565.000000 565.000000\n", | |
| "mean 18340.414159 0.021857 937.555265\n", | |
| "std 17753.916307 0.028040 3810.760200\n", | |
| "min 0.000000 0.001021 0.001246\n", | |
| "25% 11339.000000 0.011282 6.866980\n", | |
| "50% 15071.000000 0.015590 65.644900\n", | |
| "75% 21011.000000 0.021217 290.682000\n", | |
| "max 221396.000000 0.206124 34732.500000\n", | |
| " market_cap price volume\n", | |
| "count 103.000000 103.000000 103.000000\n", | |
| "mean 232336.174757 0.006979 1272.675939\n", | |
| "std 119410.449095 0.001504 2440.265513\n", | |
| "min 0.000000 0.004183 1.262320\n", | |
| "25% 188445.000000 0.006227 299.868500\n", | |
| "50% 276218.000000 0.007071 614.708000\n", | |
| "75% 323661.000000 0.007633 1232.225000\n", | |
| "max 401399.000000 0.014413 16451.200000\n", | |
| " market_cap price volume\n", | |
| "count 1002.000000 1002.000000 1002.000000\n", | |
| "mean 898485.660679 0.026430 2192.047772\n", | |
| "std 1191632.480622 0.034343 6262.788661\n", | |
| "min 37301.000000 0.001505 0.475627\n", | |
| "25% 147149.250000 0.005308 184.467750\n", | |
| "50% 289805.000000 0.008697 588.268500\n", | |
| "75% 1606987.000000 0.046869 1685.102500\n", | |
| "max 7782888.000000 0.226694 88189.400000\n", | |
| " market_cap price volume\n", | |
| "count 1014.000000 1014.000000 1014.000000\n", | |
| "mean 16180.008876 0.002104 396.466569\n", | |
| "std 25938.150617 0.010583 4369.657706\n", | |
| "min 3065.000000 0.000166 0.006002\n", | |
| "25% 7530.250000 0.000415 2.298375\n", | |
| "50% 11094.500000 0.000607 5.955305\n", | |
| "75% 16415.750000 0.000859 29.042100\n", | |
| "max 395918.000000 0.190149 123123.000000\n", | |
| " market_cap price volume\n", | |
| "count 679.000000 679.000000 679.000000\n", | |
| "mean 122555.892489 0.000005 114.264301\n", | |
| "std 55234.921226 0.000002 216.189749\n", | |
| "min 53315.000000 0.000002 0.023761\n", | |
| "25% 73180.500000 0.000003 37.620200\n", | |
| "50% 111321.000000 0.000004 59.554600\n", | |
| "75% 154901.500000 0.000006 122.581500\n", | |
| "max 332456.000000 0.000013 2910.220000\n", | |
| " market_cap price volume\n", | |
| "count 95.000000 95.000000 95.000000\n", | |
| "mean 6796525.800000 0.011328 10513.223272\n", | |
| "std 1582383.730541 0.002637 20422.034001\n", | |
| "min 4539372.000000 0.007566 73.074800\n", | |
| "25% 5691612.000000 0.009486 1483.610000\n", | |
| "50% 6502320.000000 0.010837 3558.200000\n", | |
| "75% 7705170.000000 0.012842 8369.305000\n", | |
| "max 11572980.000000 0.019288 123723.000000\n", | |
| " market_cap price volume\n", | |
| "count 245.000000 245.000000 245.000000\n", | |
| "mean 29220.338776 0.000129 4999.764888\n", | |
| "std 48000.888537 0.000209 10591.768236\n", | |
| "min 629.000000 0.000002 0.000241\n", | |
| "25% 1223.000000 0.000004 1.849300\n", | |
| "50% 2338.000000 0.000009 8.756740\n", | |
| "75% 53505.000000 0.000250 1723.530000\n", | |
| "max 227530.000000 0.000970 50348.100000\n", | |
| " market_cap price volume\n", | |
| "count 284.000000 284.000000 284.000000\n", | |
| "mean 2692.239437 0.002110 134.041765\n", | |
| "std 2100.944376 0.001653 811.819982\n", | |
| "min 593.000000 0.000464 0.000205\n", | |
| "25% 1481.000000 0.001159 0.112224\n", | |
| "50% 2103.500000 0.001647 1.946060\n", | |
| "75% 3184.750000 0.002488 19.428550\n", | |
| "max 15380.000000 0.012091 9079.550000\n", | |
| " market_cap price volume\n", | |
| "count 608.000000 608.000000 608.000000\n", | |
| "mean 8189.848684 0.000460 188.750592\n", | |
| "std 5502.251029 0.000478 411.142823\n", | |
| "min 875.000000 0.000060 0.008450\n", | |
| "25% 3857.000000 0.000203 11.726775\n", | |
| "50% 6391.000000 0.000303 44.399800\n", | |
| "75% 11205.750000 0.000418 184.561000\n", | |
| "max 28362.000000 0.002476 4952.650000\n", | |
| " market_cap price volume\n", | |
| "count 673.000000 673.000000 673.000000\n", | |
| "mean 6170.682021 0.000729 182.731178\n", | |
| "std 18521.068066 0.001579 781.190656\n", | |
| "min 0.000000 0.000054 0.004456\n", | |
| "25% 1386.000000 0.000141 5.306520\n", | |
| "50% 2055.000000 0.000224 44.154500\n", | |
| "75% 3759.000000 0.000600 79.959500\n", | |
| "max 229444.000000 0.018411 9949.810000\n", | |
| " market_cap price volume\n", | |
| "count 639.000000 639.000000 639.000000\n", | |
| "mean 305616.158059 0.011913 2471.238165\n", | |
| "std 2969990.617696 0.117295 25720.600535\n", | |
| "min 3687.000000 0.000150 0.001667\n", | |
| "25% 6783.500000 0.000274 5.005300\n", | |
| "50% 8771.000000 0.000357 22.180500\n", | |
| "75% 13597.500000 0.000519 111.693500\n", | |
| "max 66341354.000000 2.624250 512424.000000\n", | |
| " market_cap price volume\n", | |
| "count 555.000000 555.000000 555.000000\n", | |
| "mean 30875.021622 0.010097 1760.927673\n", | |
| "std 21114.501789 0.006780 5032.478139\n", | |
| "min 1328.000000 0.000441 0.025711\n", | |
| "25% 13214.500000 0.004486 34.988300\n", | |
| "50% 27714.000000 0.008990 181.475000\n", | |
| "75% 42737.500000 0.013863 1101.250000\n", | |
| "max 101967.000000 0.033075 73891.900000\n", | |
| " market_cap price volume\n", | |
| "count 783.000000 783.000000 783.000000\n", | |
| "mean 120865.530013 0.030825 806.829715\n", | |
| "std 88870.737069 0.025919 2747.733224\n", | |
| "min 0.000000 0.001303 0.007249\n", | |
| "25% 41772.000000 0.013232 100.424000\n", | |
| "50% 120552.000000 0.024375 297.488000\n", | |
| "75% 178226.000000 0.037282 717.174000\n", | |
| "max 410978.000000 0.156104 59151.900000\n", | |
| " market_cap price volume\n", | |
| "count 976.000000 976.000000 976.000000\n", | |
| "mean 8630.579918 0.001751 53.058588\n", | |
| "std 29687.342466 0.009461 358.312090\n", | |
| "min 444.000000 0.000064 0.000000\n", | |
| "25% 2760.250000 0.000174 1.184510\n", | |
| "50% 3900.000000 0.000275 4.003560\n", | |
| "75% 6481.000000 0.000479 15.386650\n", | |
| "max 611231.000000 0.196511 8993.570000\n", | |
| " market_cap price volume\n", | |
| "count 1079.000000 1079.000000 1079.000000\n", | |
| "mean 155883.181650 0.062592 2429.905365\n", | |
| "std 161598.470806 0.125625 5380.970635\n", | |
| "min 12797.000000 0.007086 0.000000\n", | |
| "25% 51656.000000 0.022770 294.471500\n", | |
| "50% 108179.000000 0.032411 738.839000\n", | |
| "75% 225403.500000 0.047688 2060.375000\n", | |
| "max 1274470.000000 1.117720 72496.200000\n", | |
| " market_cap price volume\n", | |
| "count 927.000000 927.000000 927.000000\n", | |
| "mean 952192.182309 0.035045 7669.473284\n", | |
| "std 1016914.794513 0.030865 9876.538505\n", | |
| "min 11154.000000 0.005679 5.228090\n", | |
| "25% 321738.000000 0.015354 2011.240000\n", | |
| "50% 800287.000000 0.029086 4526.810000\n", | |
| "75% 1253336.500000 0.041310 8826.705000\n", | |
| "max 15787359.000000 0.374007 72025.800000\n", | |
| " market_cap price volume\n", | |
| "count 2.630000e+02 263.000000 263.000000\n", | |
| "mean 7.137737e+07 0.688268 180448.812726\n", | |
| "std 8.223250e+07 0.861164 336356.271433\n", | |
| "min 2.607835e+06 0.096617 581.074000\n", | |
| "25% 1.826474e+07 0.199480 14275.750000\n", | |
| "50% 3.683752e+07 0.380796 91340.100000\n", | |
| "75% 8.435092e+07 0.639125 194357.500000\n", | |
| "max 3.845236e+08 4.338020 3310820.000000\n", | |
| " market_cap price volume\n", | |
| "count 147.000000 147.000000 147.000000\n", | |
| "mean 4668099.653061 0.047658 59055.509592\n", | |
| "std 2067500.746098 0.020864 74067.759733\n", | |
| "min 0.000000 0.010505 6782.710000\n", | |
| "25% 2980779.500000 0.030387 20614.300000\n", | |
| "50% 3996591.000000 0.040730 34657.000000\n", | |
| "75% 6321229.500000 0.064388 63405.650000\n", | |
| "max 10452966.000000 0.106498 650899.000000\n", | |
| " market_cap price volume\n", | |
| "count 520.000000 520.000000 520.000000\n", | |
| "mean 14676.734615 0.002125 118.279143\n", | |
| "std 15914.157493 0.002208 336.870404\n", | |
| "min 0.000000 0.000061 0.000044\n", | |
| "25% 1380.000000 0.000314 2.526425\n", | |
| "50% 12817.500000 0.001815 11.414350\n", | |
| "75% 23603.500000 0.003338 51.377175\n", | |
| "max 169764.000000 0.024010 2987.200000\n", | |
| " market_cap price volume\n", | |
| "count 704.000000 704.000000 704.000000\n", | |
| "mean 56331.081676 0.003014 5212.474734\n", | |
| "std 86182.936187 0.006144 40102.912574\n", | |
| "min 1853.000000 0.000199 0.000015\n", | |
| "25% 19727.250000 0.000729 6.382198\n", | |
| "50% 29357.500000 0.001098 47.956600\n", | |
| "75% 53599.500000 0.001989 260.335000\n", | |
| "max 889296.000000 0.060334 827725.000000\n", | |
| " market_cap price volume\n", | |
| "count 689.000000 689.000000 689.000000\n", | |
| "mean 845405.526851 0.009037 672.394757\n", | |
| "std 638621.697762 0.006943 5740.880519\n", | |
| "min 0.000000 0.000913 0.040727\n", | |
| "25% 418364.000000 0.004192 28.972500\n", | |
| "50% 652924.000000 0.006904 129.628000\n", | |
| "75% 1191119.000000 0.012354 395.976000\n", | |
| "max 9985220.000000 0.099852 145905.000000\n", | |
| " market_cap price volume\n", | |
| "count 804.000000 804.000000 804.000000\n", | |
| "mean 215872.506219 0.053610 1683.650255\n", | |
| "std 101161.853246 0.024909 8970.536145\n", | |
| "min 0.000000 0.013404 0.013979\n", | |
| "25% 145381.000000 0.036105 30.166575\n", | |
| "50% 198552.000000 0.049218 140.711000\n", | |
| "75% 263126.500000 0.065171 480.099500\n", | |
| "max 561532.000000 0.138656 148328.000000\n", | |
| " market_cap price volume\n", | |
| "count 1087.000000 1087.000000 1087.000000\n", | |
| "mean 120127.638454 0.001820 974.781592\n", | |
| "std 279162.293843 0.006139 4390.580776\n", | |
| "min 5125.000000 0.000047 0.000000\n", | |
| "25% 38093.000000 0.000370 33.265250\n", | |
| "50% 54684.000000 0.000525 96.802800\n", | |
| "75% 90867.000000 0.000874 321.673500\n", | |
| "max 5903641.000000 0.136138 109013.000000\n", | |
| " market_cap price volume\n", | |
| "count 919.000000 919.000000 919.000000\n", | |
| "mean 130448.005441 114.077485 2450.616482\n", | |
| "std 139890.405584 125.012409 11200.798679\n", | |
| "min 21552.000000 18.312600 0.000025\n", | |
| "25% 48362.500000 41.093000 28.241350\n", | |
| "50% 79302.000000 68.010100 165.634000\n", | |
| "75% 149760.500000 128.458000 1088.100000\n", | |
| "max 927251.000000 841.609000 233436.000000\n", | |
| " market_cap price volume\n", | |
| "count 865.000000 865.000000 865.000000\n", | |
| "mean 1554739.798844 0.003431 35557.579370\n", | |
| "std 1831172.803417 0.003890 164721.295936\n", | |
| "min 26.000000 0.000224 3.837090\n", | |
| "25% 182942.000000 0.000444 576.516000\n", | |
| "50% 312464.000000 0.000763 2790.790000\n", | |
| "75% 3351391.000000 0.007712 23754.900000\n", | |
| "max 6272163.000000 0.012965 3707800.000000\n", | |
| " market_cap price volume\n", | |
| "count 1141.000000 1141.000000 1141.000000\n", | |
| "mean 202795.485539 0.152268 3132.608269\n", | |
| "std 199022.813518 0.348273 7822.690981\n", | |
| "min 22235.000000 0.007447 0.000000\n", | |
| "25% 93281.000000 0.031554 209.511000\n", | |
| "50% 158163.000000 0.045041 714.397000\n", | |
| "75% 242945.000000 0.067932 2489.890000\n", | |
| "max 1435582.000000 3.113150 136008.000000\n", | |
| " market_cap price volume\n", | |
| "count 278.000000 278.000000 278.000000\n", | |
| "mean 2099.744604 0.000054 159.676208\n", | |
| "std 1884.370995 0.000049 738.674729\n", | |
| "min 0.000000 0.000009 0.012310\n", | |
| "25% 958.500000 0.000025 0.376646\n", | |
| "50% 1616.000000 0.000042 1.797475\n", | |
| "75% 2558.500000 0.000066 17.746875\n", | |
| "max 15574.000000 0.000403 6526.070000\n", | |
| " market_cap price volume\n", | |
| "count 666.000000 666.000000 666.000000\n", | |
| "mean 8114.914414 0.000076 1369.155105\n", | |
| "std 31557.363167 0.000391 9651.378594\n", | |
| "min 301.000000 0.000002 0.018261\n", | |
| "25% 1113.750000 0.000007 16.326600\n", | |
| "50% 1607.000000 0.000009 33.745700\n", | |
| "75% 2231.750000 0.000013 157.781500\n", | |
| "max 444584.000000 0.004860 193124.000000\n", | |
| " market_cap price volume\n", | |
| "count 272.000000 272.000000 2.720000e+02\n", | |
| "mean 2936.900735 0.000062 3.696466e+00\n", | |
| "std 4232.008921 0.000090 1.074737e+01\n", | |
| "min 65.000000 0.000001 9.003900e-10\n", | |
| "25% 744.250000 0.000015 5.481737e-05\n", | |
| "50% 1575.000000 0.000033 2.806935e-02\n", | |
| "75% 3788.250000 0.000079 1.478652e+00\n", | |
| "max 40301.000000 0.000857 8.009190e+01\n", | |
| " market_cap price volume\n", | |
| "count 945.000000 945.000000 945.000000\n", | |
| "mean 127831.866667 0.029675 487.997198\n", | |
| "std 107418.742327 0.071345 866.834623\n", | |
| "min 7186.000000 0.000008 0.003773\n", | |
| "25% 37323.000000 0.000223 45.513900\n", | |
| "50% 99271.000000 0.004603 186.692000\n", | |
| "75% 205032.000000 0.012464 556.080000\n", | |
| "max 640457.000000 0.499135 8379.910000\n", | |
| " market_cap price volume\n", | |
| "count 1033.000000 1033.000000 1033.000000\n", | |
| "mean 35843.621491 0.000608 638.010237\n", | |
| "std 63874.182907 0.001016 4253.693789\n", | |
| "min 5853.000000 0.000147 0.000003\n", | |
| "25% 20349.000000 0.000330 11.922900\n", | |
| "50% 28101.000000 0.000461 59.334100\n", | |
| "75% 40676.000000 0.000644 210.036000\n", | |
| "max 1955956.000000 0.029356 89937.700000\n", | |
| " market_cap price volume\n", | |
| "count 820.000000 820.000000 820.000000\n", | |
| "mean 31089.221951 0.000192 232.160143\n", | |
| "std 29000.763876 0.000188 1108.135185\n", | |
| "min 2277.000000 0.000014 0.118144\n", | |
| "25% 9239.500000 0.000057 6.125508\n", | |
| "50% 23045.000000 0.000126 28.047000\n", | |
| "75% 45134.250000 0.000260 112.547000\n", | |
| "max 217331.000000 0.001701 22899.100000\n", | |
| " market_cap price volume\n", | |
| "count 1084.000000 1.084000e+03 1084.000000\n", | |
| "mean 1675009.238930 4.501263e-06 9394.882295\n", | |
| "std 2973924.836801 7.403127e-06 38716.577410\n", | |
| "min 20616.000000 7.340720e-08 4.045650\n", | |
| "25% 72217.250000 2.798220e-07 442.069500\n", | |
| "50% 252688.000000 9.537890e-07 1663.840000\n", | |
| "75% 1427899.750000 5.572653e-06 4862.070000\n", | |
| "max 15621534.000000 4.304830e-05 716726.000000\n", | |
| " market_cap price volume\n", | |
| "count 859.000000 859.000000 859.000000\n", | |
| "mean 25475.544820 0.001069 516.453004\n", | |
| "std 21294.851829 0.001638 2490.118642\n", | |
| "min 0.000000 0.000251 3.985600\n", | |
| "25% 10735.000000 0.000452 67.592750\n", | |
| "50% 20005.000000 0.000603 136.179000\n", | |
| "75% 33578.000000 0.001051 255.048500\n", | |
| "max 182197.000000 0.023829 49064.500000\n", | |
| " market_cap price volume\n", | |
| "count 1107.000000 1.107000e+03 1107.000000\n", | |
| "mean 393541.792231 5.925010e-06 2457.521026\n", | |
| "std 745499.757812 1.124958e-05 9479.806161\n", | |
| "min 8982.000000 1.622830e-07 0.000000\n", | |
| "25% 85328.000000 1.275910e-06 13.176450\n", | |
| "50% 136066.000000 2.034600e-06 86.833500\n", | |
| "75% 268290.500000 4.011755e-06 612.233500\n", | |
| "max 4883700.000000 7.302590e-05 96511.700000\n", | |
| " market_cap price volume\n", | |
| "count 745.00000 7.450000e+02 745.000000\n", | |
| "mean 23035.95302 1.280041e-04 379.874970\n", | |
| "std 54363.10311 1.748437e-04 2165.734521\n", | |
| "min 0.00000 4.940250e-08 0.000054\n", | |
| "25% 1719.00000 1.803070e-05 0.075939\n", | |
| "50% 4665.00000 5.467560e-05 0.453420\n", | |
| "75% 12033.00000 1.520620e-04 16.056300\n", | |
| "max 481007.00000 1.579770e-03 28193.700000\n", | |
| " market_cap price volume\n", | |
| "count 420.000000 420.000000 420.000000\n", | |
| "mean 14775.116667 0.009725 2418.175883\n", | |
| "std 28919.208046 0.019073 22451.671229\n", | |
| "min 724.000000 0.000476 0.000130\n", | |
| "25% 4906.000000 0.003222 0.371989\n", | |
| "50% 7251.500000 0.004762 3.978465\n", | |
| "75% 12168.750000 0.007995 26.303850\n", | |
| "max 301586.000000 0.198912 307523.000000\n", | |
| " market_cap price volume\n", | |
| "count 466 466.000000 466.000000\n", | |
| "mean 0 0.224800 152.079134\n", | |
| "std 0 0.299126 1472.675061\n", | |
| "min 0 0.002418 0.000013\n", | |
| "25% 0 0.011574 0.361040\n", | |
| "50% 0 0.099214 3.623080\n", | |
| "75% 0 0.364097 16.315925\n", | |
| "max 0 3.436570 22989.000000\n", | |
| " market_cap price volume\n", | |
| "count 1303.000000 1303.000000 1303.000000\n", | |
| "mean 352270.807368 0.076766 2150.054661\n", | |
| "std 655210.789817 0.152698 9855.235152\n", | |
| "min 11385.000000 0.000766 0.000000\n", | |
| "25% 40086.000000 0.002974 18.970300\n", | |
| "50% 73670.000000 0.006240 88.114500\n", | |
| "75% 444964.500000 0.085138 678.516500\n", | |
| "max 6697341.000000 1.492680 171728.000000\n", | |
| " market_cap price volume\n", | |
| "count 805.000000 805.000000 805.000000\n", | |
| "mean 13195.524224 0.219970 204.699306\n", | |
| "std 10097.441747 0.177923 1421.184962\n", | |
| "min 945.000000 0.015374 0.000087\n", | |
| "25% 5094.000000 0.096166 2.877850\n", | |
| "50% 11412.000000 0.189154 28.540400\n", | |
| "75% 18307.000000 0.295827 83.233500\n", | |
| "max 62827.000000 1.269410 33122.200000\n", | |
| " market_cap price volume\n", | |
| "count 86.000000 86.000000 86.000000\n", | |
| "mean 401069.081395 0.014118 1564.858521\n", | |
| "std 332568.371884 0.009839 3061.589263\n", | |
| "min 0.000000 0.004833 0.531998\n", | |
| "25% 199076.000000 0.006428 32.199825\n", | |
| "50% 237673.000000 0.010294 94.677250\n", | |
| "75% 563086.250000 0.019194 733.385750\n", | |
| "max 1580343.000000 0.049223 15130.800000\n", | |
| " market_cap price volume\n", | |
| "count 899.000000 899.000000 899.000000\n", | |
| "mean 27723.311457 0.000736 220.629433\n", | |
| "std 22077.542566 0.000981 1170.596747\n", | |
| "min 956.000000 0.000046 0.160318\n", | |
| "25% 9973.000000 0.000393 55.019450\n", | |
| "50% 23158.000000 0.000606 87.655800\n", | |
| "75% 39103.500000 0.000755 144.642500\n", | |
| "max 221968.000000 0.017524 29049.300000\n", | |
| " market_cap price volume\n", | |
| "count 424.000000 424.000000 424.000000\n", | |
| "mean 30804.549528 0.020173 2622.234322\n", | |
| "std 49633.732340 0.034315 10082.319454\n", | |
| "min 0.000000 0.000425 0.003256\n", | |
| "25% 4974.750000 0.003045 3.898510\n", | |
| "50% 11157.000000 0.006782 33.908800\n", | |
| "75% 42801.000000 0.026230 406.957750\n", | |
| "max 572221.000000 0.347521 147072.000000\n", | |
| " market_cap price volume\n", | |
| "count 845.000000 845.000000 845.000000\n", | |
| "mean 83296.128994 0.002618 351.610331\n", | |
| "std 63865.159575 0.002008 2437.058662\n", | |
| "min 3359.000000 0.000109 0.001100\n", | |
| "25% 30173.000000 0.000965 23.270200\n", | |
| "50% 81417.000000 0.002544 72.872300\n", | |
| "75% 109070.000000 0.003402 167.099000\n", | |
| "max 737459.000000 0.022983 63857.200000\n", | |
| " market_cap price volume\n", | |
| "count 633.000000 633.000000 633.000000\n", | |
| "mean 5678.699842 0.002151 223.927289\n", | |
| "std 3472.770843 0.001299 683.431335\n", | |
| "min 249.000000 0.000106 0.029221\n", | |
| "25% 3126.000000 0.001171 6.037170\n", | |
| "50% 5492.000000 0.002069 40.705600\n", | |
| "75% 7543.000000 0.002846 150.316000\n", | |
| "max 22942.000000 0.008529 8575.600000\n", | |
| " market_cap price volume\n", | |
| "count 681.000000 681.000000 681.000000\n", | |
| "mean 3253.594714 0.000189 47.315970\n", | |
| "std 2722.253427 0.000234 99.748603\n", | |
| "min 403.000000 0.000029 0.041613\n", | |
| "25% 1119.000000 0.000100 7.159640\n", | |
| "50% 1939.000000 0.000152 14.292400\n", | |
| "75% 5146.000000 0.000195 41.733000\n", | |
| "max 16840.000000 0.003170 1004.340000\n", | |
| " market_cap price volume\n", | |
| "count 477.000000 477.000000 477.000000\n", | |
| "mean 10320.186583 0.025607 636.341534\n", | |
| "std 27504.009201 0.075625 3761.277346\n", | |
| "min 558.000000 0.000822 0.000228\n", | |
| "25% 2035.000000 0.003037 0.373430\n", | |
| "50% 3285.000000 0.004959 5.076360\n", | |
| "75% 5359.000000 0.008689 51.801400\n", | |
| "max 245804.000000 0.744276 44911.900000\n", | |
| " market_cap price volume\n", | |
| "count 796.000000 796.000000 796.000000\n", | |
| "mean 25102.236181 0.011793 848.209816\n", | |
| "std 28695.496842 0.012781 4687.584436\n", | |
| "min 1137.000000 0.000499 0.002227\n", | |
| "25% 10019.250000 0.005382 9.423753\n", | |
| "50% 17086.500000 0.008144 62.509350\n", | |
| "75% 34427.250000 0.015598 402.892750\n", | |
| "max 334030.000000 0.153995 80463.000000\n", | |
| " market_cap price volume\n", | |
| "count 567 567.000000 567.000000\n", | |
| "mean 0 0.193041 484.277278\n", | |
| "std 0 0.238138 1092.625808\n", | |
| "min 0 0.000549 0.080889\n", | |
| "25% 0 0.040653 34.021850\n", | |
| "50% 0 0.094591 165.218000\n", | |
| "75% 0 0.216727 449.235000\n", | |
| "max 0 1.009840 11264.000000\n", | |
| " market_cap price volume\n", | |
| "count 1096.000000 1096.000000 1096.000000\n", | |
| "mean 460959.295620 2.528390 5906.272278\n", | |
| "std 262408.153784 1.831087 38456.266647\n", | |
| "min 201574.000000 1.021740 0.000000\n", | |
| "25% 327650.250000 1.680737 390.326250\n", | |
| "50% 417122.000000 2.162880 849.162000\n", | |
| "75% 521728.750000 2.737262 1831.785000\n", | |
| "max 3705557.000000 24.376100 776693.000000\n", | |
| " market_cap price volume\n", | |
| "count 309.000000 309.000000 309.000000\n", | |
| "mean 1129.407767 0.000161 71.845322\n", | |
| "std 1108.105498 0.000157 355.378270\n", | |
| "min 0.000000 0.000002 0.005273\n", | |
| "25% 117.000000 0.000017 0.336450\n", | |
| "50% 516.000000 0.000074 3.293690\n", | |
| "75% 2233.000000 0.000318 21.751700\n", | |
| "max 3529.000000 0.000502 4196.610000\n", | |
| " market_cap price volume\n", | |
| "count 903.000000 903.000000 903.000000\n", | |
| "mean 188756.499446 0.291253 9613.589981\n", | |
| "std 342667.386833 0.797275 70524.225838\n", | |
| "min 4561.000000 0.003807 0.003167\n", | |
| "25% 27396.000000 0.024035 24.851100\n", | |
| "50% 43429.000000 0.038105 188.484000\n", | |
| "75% 215715.000000 0.232345 1626.685000\n", | |
| "max 4390247.000000 13.454800 1548440.000000\n", | |
| " market_cap price volume\n", | |
| "count 702.000000 702.000000 702.000000\n", | |
| "mean 134976.366097 0.000180 1206.022513\n", | |
| "std 149711.538205 0.000233 3208.609919\n", | |
| "min 6486.000000 0.000006 0.057479\n", | |
| "25% 51899.250000 0.000048 23.201275\n", | |
| "50% 69440.000000 0.000068 121.516000\n", | |
| "75% 126619.750000 0.000180 701.572500\n", | |
| "max 655009.000000 0.001408 40135.800000\n", | |
| " market_cap price volume\n", | |
| "count 672.000000 672.000000 672.000000\n", | |
| "mean 2715498.279762 0.999553 456373.132761\n", | |
| "std 2848395.421214 0.018506 858028.342674\n", | |
| "min 144046.000000 0.572521 0.024126\n", | |
| "25% 451600.000000 1.000000 11573.275000\n", | |
| "50% 1451591.000000 1.000000 107441.500000\n", | |
| "75% 6951406.250000 1.000000 538619.500000\n", | |
| "max 9951689.000000 1.210160 7930150.000000\n", | |
| " market_cap price volume\n", | |
| "count 1005.000000 1005.000000 1005.000000\n", | |
| "mean 217768.961194 0.016521 3627.424026\n", | |
| "std 273661.857519 0.047112 15633.607198\n", | |
| "min 22840.000000 0.000708 0.044370\n", | |
| "25% 67813.000000 0.002154 56.119900\n", | |
| "50% 104958.000000 0.003320 267.963000\n", | |
| "75% 192031.000000 0.010778 1202.540000\n", | |
| "max 2254590.000000 0.710041 280435.000000\n", | |
| " market_cap price volume\n", | |
| "count 361.000000 361.000000 361.000000\n", | |
| "mean 17785.480609 0.004792 1300.774349\n", | |
| "std 39545.354206 0.010673 4838.384272\n", | |
| "min 794.000000 0.000212 0.000181\n", | |
| "25% 3804.000000 0.001023 1.592390\n", | |
| "50% 5854.000000 0.001570 14.321100\n", | |
| "75% 7332.000000 0.001962 96.829500\n", | |
| "max 251364.000000 0.067853 36394.200000\n", | |
| " market_cap price volume\n", | |
| "count 227.000000 227.000000 227.000000\n", | |
| "mean 1459.392070 0.000965 71.798781\n", | |
| "std 1064.612024 0.000712 387.567497\n", | |
| "min 90.000000 0.000052 0.024577\n", | |
| "25% 640.000000 0.000421 0.363716\n", | |
| "50% 1185.000000 0.000732 2.429050\n", | |
| "75% 1862.500000 0.001338 12.618350\n", | |
| "max 7291.000000 0.004288 4560.950000\n", | |
| " market_cap price volume\n", | |
| "count 368.000000 368.000000 368.000000\n", | |
| "mean 13177.864130 0.000634 731.706800\n", | |
| "std 18486.060142 0.000902 4873.854438\n", | |
| "min 457.000000 0.000022 0.000128\n", | |
| "25% 2663.250000 0.000126 1.633682\n", | |
| "50% 5178.500000 0.000244 14.207700\n", | |
| "75% 13857.500000 0.000658 135.084500\n", | |
| "max 101191.000000 0.004954 82625.300000\n", | |
| " market_cap price volume\n", | |
| "count 742.000000 742.000000 7.420000e+02\n", | |
| "mean 5710.774933 0.000444 4.509492e+01\n", | |
| "std 10352.949647 0.001074 1.238542e+02\n", | |
| "min 0.000000 0.000002 1.147110e-12\n", | |
| "25% 295.000000 0.000035 7.887582e-01\n", | |
| "50% 3674.000000 0.000144 5.458815e+00\n", | |
| "75% 7896.500000 0.000340 4.112653e+01\n", | |
| "max 166107.000000 0.016604 1.516810e+03\n", | |
| " market_cap price volume\n", | |
| "count 898.000000 898.000000 898.000000\n", | |
| "mean 393434.587973 0.028844 9962.114086\n", | |
| "std 493339.494493 0.046893 37136.319548\n", | |
| "min 61564.000000 0.003120 25.872700\n", | |
| "25% 106333.250000 0.005936 349.076750\n", | |
| "50% 200125.000000 0.011024 955.916000\n", | |
| "75% 472696.750000 0.025629 3900.782500\n", | |
| "max 3571378.000000 0.340288 579707.000000\n", | |
| " market_cap price volume\n", | |
| "count 438.000000 438.000000 438.000000\n", | |
| "mean 19859.611872 0.004221 647.315413\n", | |
| "std 25730.745311 0.005598 2183.951514\n", | |
| "min 947.000000 0.000193 0.122003\n", | |
| "25% 4402.250000 0.000893 3.038172\n", | |
| "50% 9520.000000 0.001974 25.243250\n", | |
| "75% 19983.000000 0.004173 190.881750\n", | |
| "max 160200.000000 0.034643 22734.400000\n", | |
| " market_cap price volume\n", | |
| "count 377.000000 377.000000 377.000000\n", | |
| "mean 484407.542440 0.044966 8756.162755\n", | |
| "std 315620.666798 0.025568 15831.357683\n", | |
| "min 39296.000000 0.007280 29.816600\n", | |
| "25% 185983.000000 0.026294 1886.370000\n", | |
| "50% 480647.000000 0.041209 3901.990000\n", | |
| "75% 642183.000000 0.059495 8288.950000\n", | |
| "max 1607597.500000 0.145691 169880.500000\n", | |
| " market_cap price volume\n", | |
| "count 895.000000 895.000000 895.000000\n", | |
| "mean 160648.092737 0.002321 4397.846270\n", | |
| "std 165596.856231 0.002394 20349.413772\n", | |
| "min 3782.000000 0.000055 0.000061\n", | |
| "25% 25663.500000 0.000372 15.261650\n", | |
| "50% 66223.000000 0.000956 139.372000\n", | |
| "75% 295571.500000 0.004266 762.340000\n", | |
| "max 1007337.000000 0.014619 264718.000000\n", | |
| " market_cap price volume\n", | |
| "count 276.000000 276.000000 276.000000\n", | |
| "mean 1824569.543478 0.074871 67653.741522\n", | |
| "std 1770941.047201 0.086700 54010.750671\n", | |
| "min 0.000000 0.007033 2395.900000\n", | |
| "25% 346340.250000 0.018815 43307.625000\n", | |
| "50% 1328502.500000 0.043551 59350.400000\n", | |
| "75% 2279355.750000 0.095876 79324.275000\n", | |
| "max 8245124.000000 0.678074 426165.000000\n", | |
| " market_cap price volume\n", | |
| "count 769.000000 769.000000 769.000000\n", | |
| "mean 1573195.949285 0.003930 65521.906954\n", | |
| "std 1687897.670417 0.004216 321709.862951\n", | |
| "min 52659.000000 0.000132 1.291960\n", | |
| "25% 300026.000000 0.000750 923.496000\n", | |
| "50% 717261.000000 0.001792 6281.120000\n", | |
| "75% 2714379.000000 0.006780 25573.400000\n", | |
| "max 9930507.000000 0.024805 6907030.000000\n", | |
| " market_cap price volume\n", | |
| "count 955.000000 955.000000 955.000000\n", | |
| "mean 1097785.362304 0.040117 39443.502388\n", | |
| "std 1040127.662564 0.038755 216946.062656\n", | |
| "min 72765.000000 0.003378 101.588000\n", | |
| "25% 519654.000000 0.019060 1599.165000\n", | |
| "50% 876307.000000 0.031896 3527.320000\n", | |
| "75% 1259821.500000 0.045992 9865.320000\n", | |
| "max 9010006.000000 0.336443 3317400.000000\n", | |
| " market_cap price volume\n", | |
| "count 38.000000 38.000000 38.000000\n", | |
| "mean 537323.552632 0.080216 10709.091316\n", | |
| "std 534986.943702 0.004994 5215.729420\n", | |
| "min 0.000000 0.068806 2897.750000\n", | |
| "25% 0.000000 0.077469 7108.517500\n", | |
| "50% 702924.000000 0.079959 9869.525000\n", | |
| "75% 1068089.250000 0.084073 12974.050000\n", | |
| "max 1323958.000000 0.089077 26923.300000\n", | |
| " market_cap price volume\n", | |
| "count 874.000000 874.000000 874.000000\n", | |
| "mean 268089.765446 0.000023 660.184015\n", | |
| "std 371302.673137 0.000031 1643.192551\n", | |
| "min 16372.000000 0.000002 2.676440\n", | |
| "25% 42101.250000 0.000004 40.443325\n", | |
| "50% 114644.500000 0.000010 111.100500\n", | |
| "75% 320886.750000 0.000027 421.320750\n", | |
| "max 1804943.000000 0.000153 22450.700000\n", | |
| " market_cap price volume\n", | |
| "count 1067.000000 1067.000000 1067.000000\n", | |
| "mean 1247871.806935 0.221748 32036.295080\n", | |
| "std 1217893.789234 0.514051 88650.463091\n", | |
| "min 66178.000000 0.006267 118.846000\n", | |
| "25% 508949.500000 0.029572 3558.030000\n", | |
| "50% 882917.000000 0.043452 7396.460000\n", | |
| "75% 1240010.500000 0.099147 22849.450000\n", | |
| "max 8493167.000000 5.619590 1376800.000000\n", | |
| " market_cap price volume\n", | |
| "count 218.000000 218.000000 218.000000\n", | |
| "mean 20047262.353211 0.336356 115502.240917\n", | |
| "std 8413759.500586 0.775823 128963.040392\n", | |
| "min 0.000000 0.132408 2276.430000\n", | |
| "25% 17030300.000000 0.176872 40939.700000\n", | |
| "50% 19828250.000000 0.207556 70026.500000\n", | |
| "75% 23592825.000000 0.255151 137095.000000\n", | |
| "max 39532700.000000 11.149800 851438.000000\n", | |
| " market_cap price volume\n", | |
| "count 1287.000000 1287.000000 1287.000000\n", | |
| "mean 1691985.202797 0.036846 18020.197200\n", | |
| "std 3781995.443495 0.103428 62648.755964\n", | |
| "min 38984.000000 0.002635 0.000000\n", | |
| "25% 498231.500000 0.006370 1342.745000\n", | |
| "50% 713501.000000 0.007904 3316.340000\n", | |
| "75% 931080.500000 0.012913 9130.260000\n", | |
| "max 28790289.000000 0.831638 963795.000000\n", | |
| " market_cap price volume\n", | |
| "count 239.000000 239.000000 239.000000\n", | |
| "mean 328.092050 0.001379 9.148195\n", | |
| "std 684.460279 0.000874 22.098602\n", | |
| "min 0.000000 0.000073 0.000244\n", | |
| "25% 0.000000 0.000641 0.266002\n", | |
| "50% 0.000000 0.001318 1.491740\n", | |
| "75% 356.500000 0.001941 7.195535\n", | |
| "max 4703.000000 0.003830 158.115000\n", | |
| " market_cap price volume\n", | |
| "count 359.000000 359.000000 359.000000\n", | |
| "mean 45460.807799 0.046866 2072.747663\n", | |
| "std 58046.572645 0.061994 5521.440999\n", | |
| "min 0.000000 0.000450 0.002547\n", | |
| "25% 3288.500000 0.005165 12.821100\n", | |
| "50% 21055.000000 0.031593 254.375000\n", | |
| "75% 65259.000000 0.056929 1371.505000\n", | |
| "max 345872.000000 0.411661 47372.000000\n", | |
| " market_cap price volume\n", | |
| "count 940.000000 940.000000 940.000000\n", | |
| "mean 880912.651064 0.158850 37189.774270\n", | |
| "std 1601340.886613 0.290469 284248.866390\n", | |
| "min 53878.000000 0.009559 0.019754\n", | |
| "25% 146982.250000 0.025823 57.041050\n", | |
| "50% 235962.500000 0.041711 279.638500\n", | |
| "75% 428028.250000 0.076433 1605.587500\n", | |
| "max 15347575.000000 2.784810 5379970.000000\n", | |
| " market_cap price volume\n", | |
| "count 456.000000 456.000000 456.000000\n", | |
| "mean 58691.864035 0.000565 286.573408\n", | |
| "std 48765.508044 0.000470 944.049104\n", | |
| "min 1513.000000 0.000015 0.000137\n", | |
| "25% 18527.500000 0.000178 3.757912\n", | |
| "50% 33752.500000 0.000325 27.336200\n", | |
| "75% 98114.000000 0.000945 150.573750\n", | |
| "max 203631.000000 0.001961 12066.100000\n", | |
| " market_cap price volume\n", | |
| "count 883.000000 883.000000 883.000000\n", | |
| "mean 129254.079275 0.001282 10128.004961\n", | |
| "std 134108.463728 0.003093 71888.683339\n", | |
| "min 8175.000000 0.000084 1.555930\n", | |
| "25% 25715.500000 0.000214 80.799350\n", | |
| "50% 47843.000000 0.000751 608.884000\n", | |
| "75% 249354.500000 0.001479 3928.825000\n", | |
| "max 695037.000000 0.044850 1484840.000000\n", | |
| " market_cap price volume\n", | |
| "count 562.000000 562.000000 562.000000\n", | |
| "mean 7500.629893 0.000631 155.648114\n", | |
| "std 5838.285252 0.000468 901.270007\n", | |
| "min 620.000000 0.000059 0.085745\n", | |
| "25% 2580.500000 0.000236 3.830932\n", | |
| "50% 5972.000000 0.000517 13.897600\n", | |
| "75% 11942.250000 0.000988 55.871575\n", | |
| "max 71025.000000 0.005735 18413.500000\n", | |
| " market_cap price volume\n", | |
| "count 1041.000000 1041.000000 1041.000000\n", | |
| "mean 5618848.491835 2.129739 25705.857891\n", | |
| "std 3698609.508747 1.399928 57982.068686\n", | |
| "min 1183002.000000 0.450013 102.320000\n", | |
| "25% 2690156.000000 1.018680 2807.940000\n", | |
| "50% 4741657.000000 1.797330 8254.230000\n", | |
| "75% 6975143.000000 2.648240 25106.400000\n", | |
| "max 25814467.000000 9.752120 808349.000000\n", | |
| " market_cap price volume\n", | |
| "count 756.000000 756.000000 756.000000\n", | |
| "mean 376949.835979 0.003769 2137.187793\n", | |
| "std 206546.190157 0.002065 7441.599459\n", | |
| "min 91142.000000 0.000911 0.004586\n", | |
| "25% 233024.000000 0.002330 78.820275\n", | |
| "50% 339514.500000 0.003395 376.584000\n", | |
| "75% 466147.250000 0.004661 1284.980000\n", | |
| "max 1308240.000000 0.013082 119546.000000\n", | |
| " market_cap price volume\n", | |
| "count 918.000000 918.000000 918.00000\n", | |
| "mean 758804.923747 0.000112 7494.22753\n", | |
| "std 396801.766716 0.000057 17661.95393\n", | |
| "min 30977.000000 0.000012 56.31300\n", | |
| "25% 466310.750000 0.000068 3202.34000\n", | |
| "50% 673493.500000 0.000099 4955.25500\n", | |
| "75% 1008478.500000 0.000151 7440.60250\n", | |
| "max 2066351.000000 0.000301 412390.00000\n", | |
| " market_cap price volume\n", | |
| "count 481.000000 481.000000 481.000000\n", | |
| "mean 123147.126819 0.045996 194.025302\n", | |
| "std 88321.488501 0.033003 447.290909\n", | |
| "min 25325.000000 0.009450 0.022471\n", | |
| "25% 54847.000000 0.020480 2.689460\n", | |
| "50% 98087.000000 0.036625 24.511900\n", | |
| "75% 150651.000000 0.056223 170.925000\n", | |
| "max 463720.000000 0.173000 3421.350000\n", | |
| " market_cap price volume\n", | |
| "count 673.000000 673.000000 673.000000\n", | |
| "mean 17038.708024 0.059847 353.104705\n", | |
| "std 24083.538184 0.097361 1362.015816\n", | |
| "min 337.000000 0.000746 0.000638\n", | |
| "25% 2518.000000 0.005574 6.881920\n", | |
| "50% 6415.000000 0.014221 38.398300\n", | |
| "75% 18880.000000 0.048408 236.015000\n", | |
| "max 121704.000000 0.866535 17622.400000\n", | |
| " market_cap price volume\n", | |
| "count 6.450000e+02 645.000000 645.000000\n", | |
| "mean 1.793508e+07 0.001993 136016.002200\n", | |
| "std 2.209438e+07 0.002455 578219.179667\n", | |
| "min 7.650120e+05 0.000085 53.391600\n", | |
| "25% 1.353230e+06 0.000150 2413.110000\n", | |
| "50% 5.557067e+06 0.000617 20843.700000\n", | |
| "75% 3.327705e+07 0.003697 76840.800000\n", | |
| "max 1.101573e+08 0.012240 9624030.000000\n", | |
| " market_cap price volume\n", | |
| "count 455.000000 455.000000 455.000000\n", | |
| "mean 8366.790110 0.000673 110.526225\n", | |
| "std 6305.437185 0.000541 411.591264\n", | |
| "min 1355.000000 0.000106 0.003734\n", | |
| "25% 3831.500000 0.000298 0.608359\n", | |
| "50% 6396.000000 0.000498 3.464230\n", | |
| "75% 10378.500000 0.000809 35.453400\n", | |
| "max 41300.000000 0.003630 4926.930000\n", | |
| " market_cap price volume\n", | |
| "count 932.000000 932.000000 932.000000\n", | |
| "mean 13608.283262 0.002456 153.387137\n", | |
| "std 24523.509904 0.008380 587.540100\n", | |
| "min 1799.000000 0.000065 0.000000\n", | |
| "25% 4451.250000 0.000226 4.701523\n", | |
| "50% 7117.500000 0.000325 11.676450\n", | |
| "75% 10050.250000 0.000759 38.523775\n", | |
| "max 329394.000000 0.138295 7284.530000\n", | |
| " market_cap price volume\n", | |
| "count 532.000000 532.000000 532.000000\n", | |
| "mean 38060.765977 0.002305 8128.565602\n", | |
| "std 124132.386275 0.007520 53190.679045\n", | |
| "min 2840.000000 0.000172 0.000167\n", | |
| "25% 7525.750000 0.000456 0.435739\n", | |
| "50% 9951.500000 0.000603 4.642000\n", | |
| "75% 13546.500000 0.000820 39.818650\n", | |
| "max 1362899.000000 0.082562 821377.000000\n", | |
| " market_cap price volume\n", | |
| "count 797.000000 797.000000 797.000000\n", | |
| "mean 10545330.583438 0.002475 57166.275286\n", | |
| "std 4006976.555564 0.000865 134783.331975\n", | |
| "min 746484.000000 0.001227 389.283000\n", | |
| "25% 8802924.000000 0.001902 12052.100000\n", | |
| "50% 10525867.000000 0.002149 25241.700000\n", | |
| "75% 12704430.000000 0.002830 49855.600000\n", | |
| "max 22223293.000000 0.006258 2436270.000000\n", | |
| " market_cap price volume\n", | |
| "count 830.000000 830.000000 830.000000\n", | |
| "mean 57451.315663 0.015459 1193.009093\n", | |
| "std 42285.925387 0.007438 9090.604809\n", | |
| "min 15135.000000 0.007190 19.365500\n", | |
| "25% 31977.000000 0.010107 140.237250\n", | |
| "50% 40651.000000 0.013619 259.590500\n", | |
| "75% 55544.000000 0.018250 557.178250\n", | |
| "max 251774.000000 0.069225 246903.000000\n", | |
| " market_cap price volume\n", | |
| "count 9.480000e+02 948.000000 948.000000\n", | |
| "mean 2.202848e+07 2.042248 1134549.397985\n", | |
| "std 3.965072e+07 2.890772 4293104.947149\n", | |
| "min 1.221459e+06 0.226724 2204.940000\n", | |
| "25% 3.937612e+06 0.488482 29444.625000\n", | |
| "50% 5.187013e+06 0.803278 78254.600000\n", | |
| "75% 1.311592e+07 1.911705 263278.500000\n", | |
| "max 2.534820e+08 18.525000 66204100.000000\n", | |
| " market_cap price volume\n", | |
| "count 96.000000 96.000000 96.000000\n", | |
| "mean 715.437500 0.008128 355.123746\n", | |
| "std 780.736263 0.012213 1148.998350\n", | |
| "min 0.000000 0.000347 0.026816\n", | |
| "25% 0.000000 0.001160 1.266362\n", | |
| "50% 708.000000 0.001741 12.723250\n", | |
| "75% 962.750000 0.007954 66.035500\n", | |
| "max 3247.000000 0.053598 7009.380000\n", | |
| " market_cap price volume\n", | |
| "count 709.000000 709.000000 7.090000e+02\n", | |
| "mean 14165.368124 0.000258 3.116834e+01\n", | |
| "std 11130.103543 0.000272 9.434808e+01\n", | |
| "min 1264.000000 0.000026 2.443530e-08\n", | |
| "25% 6496.000000 0.000108 1.093290e-01\n", | |
| "50% 11276.000000 0.000196 5.432460e-01\n", | |
| "75% 18735.000000 0.000343 1.414160e+01\n", | |
| "max 102460.000000 0.005019 9.931930e+02\n", | |
| " market_cap price volume\n", | |
| "count 1261.000000 1261.000000 1261.000000\n", | |
| "mean 2214010.977795 0.454169 29533.826669\n", | |
| "std 3216947.641892 0.886824 96240.377455\n", | |
| "min 51274.000000 0.018038 0.000000\n", | |
| "25% 847796.000000 0.065598 2295.530000\n", | |
| "50% 1135340.000000 0.089252 6943.770000\n", | |
| "75% 1838945.000000 0.387194 19693.400000\n", | |
| "max 24000989.000000 7.267150 2177150.000000\n", | |
| " market_cap price volume\n", | |
| "count 335.000000 335.000000 335.000000\n", | |
| "mean 2707.749254 0.001534 70.949713\n", | |
| "std 3798.697361 0.002339 356.101537\n", | |
| "min 511.000000 0.000274 0.000482\n", | |
| "25% 1351.000000 0.000724 0.912421\n", | |
| "50% 1663.000000 0.000892 4.470110\n", | |
| "75% 2313.500000 0.001241 14.300050\n", | |
| "max 38106.000000 0.023143 4908.010000\n", | |
| " market_cap price volume\n", | |
| "count 721.000000 721.000000 721.000000\n", | |
| "mean 17140.425798 0.001616 186.842080\n", | |
| "std 13153.308188 0.002673 674.675196\n", | |
| "min 876.000000 0.000070 0.093513\n", | |
| "25% 6157.000000 0.000485 9.102560\n", | |
| "50% 14932.000000 0.000880 38.509200\n", | |
| "75% 24631.000000 0.001302 123.218000\n", | |
| "max 91716.000000 0.024709 9266.420000\n", | |
| " market_cap price volume\n", | |
| "count 1.233000e+03 1233.000000 1233.000000\n", | |
| "mean 2.102583e+08 0.009026 759204.562206\n", | |
| "std 1.311619e+08 0.006160 1202686.629382\n", | |
| "min 2.264733e+07 0.002897 0.000000\n", | |
| "25% 1.353018e+08 0.005826 157969.000000\n", | |
| "50% 2.126757e+08 0.007092 405522.000000\n", | |
| "75% 2.654766e+08 0.008926 876407.000000\n", | |
| "max 8.571647e+08 0.057516 22163400.000000\n", | |
| " market_cap price volume\n", | |
| "count 869.000000 869.000000 869.000000\n", | |
| "mean 324907.121979 0.035597 26476.378375\n", | |
| "std 603514.676645 0.065203 183298.618082\n", | |
| "min 829.000000 0.000112 0.001437\n", | |
| "25% 19649.000000 0.002983 108.724000\n", | |
| "50% 90570.000000 0.011177 746.551000\n", | |
| "75% 227092.000000 0.024642 5097.350000\n", | |
| "max 3951411.000000 0.428486 3643560.000000\n", | |
| " market_cap price volume\n", | |
| "count 899.000000 899.000000 899.000000\n", | |
| "mean 180630.708565 0.008001 6169.235750\n", | |
| "std 175557.650025 0.008051 24515.664400\n", | |
| "min 1111.000000 0.001684 0.002085\n", | |
| "25% 80499.000000 0.003606 78.769250\n", | |
| "50% 121980.000000 0.005479 371.799000\n", | |
| "75% 187433.500000 0.008429 2447.885000\n", | |
| "max 1202092.000000 0.057143 308511.000000\n", | |
| " market_cap price volume\n", | |
| "count 732.000000 732.000000 732.000000\n", | |
| "mean 293607.323770 0.002940 2495.355981\n", | |
| "std 244600.209169 0.002444 6015.393108\n", | |
| "min 0.000000 0.000162 0.056633\n", | |
| "25% 159254.750000 0.001595 52.654825\n", | |
| "50% 205023.000000 0.002055 475.517500\n", | |
| "75% 410817.500000 0.004108 2046.242500\n", | |
| "max 2167250.000000 0.021673 51905.700000\n", | |
| " market_cap price volume\n", | |
| "count 670.000000 670.000000 670.000000\n", | |
| "mean 1078004.018657 0.080282 15840.988635\n", | |
| "std 907056.756871 0.057902 31972.496687\n", | |
| "min 39296.000000 0.007280 29.816600\n", | |
| "25% 460143.500000 0.038460 2975.937500\n", | |
| "50% 711391.500000 0.064923 6614.480000\n", | |
| "75% 1552918.500000 0.109373 16701.650000\n", | |
| "max 4354629.000000 0.292056 578715.000000\n", | |
| " market_cap price volume\n", | |
| "count 799.000000 799.000000 799.000000\n", | |
| "mean 253380.137672 0.000024 2865.664290\n", | |
| "std 315075.717179 0.000030 9849.667795\n", | |
| "min 10050.000000 0.000002 3.774900\n", | |
| "25% 100960.500000 0.000012 223.636000\n", | |
| "50% 153750.000000 0.000017 615.305000\n", | |
| "75% 303760.000000 0.000024 1659.260000\n", | |
| "max 2394596.000000 0.000227 126867.000000\n", | |
| " market_cap price volume\n", | |
| "count 960.000000 960.000000 960.000000\n", | |
| "mean 127494.565625 0.000434 9175.064089\n", | |
| "std 172023.559142 0.000708 68556.289988\n", | |
| "min 20334.000000 0.000066 0.001834\n", | |
| "25% 59754.000000 0.000196 37.732850\n", | |
| "50% 86539.500000 0.000284 184.917500\n", | |
| "75% 127210.250000 0.000416 811.101750\n", | |
| "max 1740172.000000 0.011073 1291150.000000\n", | |
| " market_cap price volume\n", | |
| "count 480.000000 480.000000 480.000000\n", | |
| "mean 28585.944792 0.000783 852.530668\n", | |
| "std 53430.283247 0.001460 3395.030645\n", | |
| "min 2375.000000 0.000065 0.000139\n", | |
| "25% 6895.750000 0.000188 1.233672\n", | |
| "50% 8782.000000 0.000240 9.904560\n", | |
| "75% 11737.750000 0.000321 85.235375\n", | |
| "max 431895.500000 0.011634 35467.800000\n", | |
| " market_cap price volume\n", | |
| "count 92.000000 92.000000 92.000000\n", | |
| "mean 383800.423913 1.367322 24337.884250\n", | |
| "std 268189.209431 1.370244 37133.621931\n", | |
| "min 0.000000 0.287934 263.581000\n", | |
| "25% 197184.250000 0.470029 5014.762500\n", | |
| "50% 310112.000000 0.589724 8237.330000\n", | |
| "75% 556467.250000 1.862030 23427.225000\n", | |
| "max 1324637.000000 6.184790 182263.000000\n", | |
| " market_cap price volume\n", | |
| "count 1248.000000 1248.000000 1248.000000\n", | |
| "mean 94176.427885 0.006333 366.936041\n", | |
| "std 232530.150917 0.019849 1650.255038\n", | |
| "min 8908.000000 0.000175 0.000000\n", | |
| "25% 26662.000000 0.000387 8.123510\n", | |
| "50% 39485.000000 0.000726 55.952500\n", | |
| "75% 74044.750000 0.003953 204.737500\n", | |
| "max 3556274.000000 0.310371 43106.700000\n", | |
| " market_cap price volume\n", | |
| "count 1073.000000 1073.000000 1073.000000\n", | |
| "mean 3310839.809879 1.309900 123789.797867\n", | |
| "std 1776159.212513 0.740814 427942.263142\n", | |
| "min 768981.000000 0.416002 90.767500\n", | |
| "25% 1860041.000000 0.772669 22555.300000\n", | |
| "50% 2853597.000000 1.056550 40903.500000\n", | |
| "75% 4898808.000000 1.706980 84257.700000\n", | |
| "max 8737103.000000 5.387310 11162700.000000\n", | |
| " market_cap price volume\n", | |
| "count 350.000000 350.000000 350.000000\n", | |
| "mean 1482306.702857 0.060933 28763.808096\n", | |
| "std 1382612.550175 0.061292 52255.916338\n", | |
| "min 0.000000 0.001201 2.327880\n", | |
| "25% 323651.500000 0.019659 604.624000\n", | |
| "50% 1057671.000000 0.034440 16365.050000\n", | |
| "75% 2371580.000000 0.088808 38426.550000\n", | |
| "max 6727275.000000 0.343787 694706.000000\n", | |
| " market_cap price volume\n", | |
| "count 88.000000 88.000000 88.000000\n", | |
| "mean 2402.034091 0.000646 8.543335\n", | |
| "std 1364.484892 0.000420 12.920335\n", | |
| "min 199.000000 0.000049 0.041852\n", | |
| "25% 1348.750000 0.000332 1.193793\n", | |
| "50% 2190.000000 0.000542 3.972085\n", | |
| "75% 2983.000000 0.000804 9.521578\n", | |
| "max 6155.000000 0.001853 81.176600\n", | |
| " market_cap price volume\n", | |
| "count 880.000000 880.000000 880.000000\n", | |
| "mean 282163.494318 0.008393 11329.141808\n", | |
| "std 193567.528311 0.003491 30355.937564\n", | |
| "min 30844.000000 0.001778 49.551800\n", | |
| "25% 134323.500000 0.006696 1553.040000\n", | |
| "50% 177994.500000 0.008118 3661.660000\n", | |
| "75% 426135.500000 0.009569 9525.810000\n", | |
| "max 843958.000000 0.025090 473043.000000\n", | |
| " market_cap price volume\n", | |
| "count 57.000000 57.000000 57.000000\n", | |
| "mean 170198.298246 1.337737 12456.898333\n", | |
| "std 64420.931003 1.496339 13629.097157\n", | |
| "min 91023.000000 0.376091 1185.280000\n", | |
| "25% 129646.000000 0.409619 2802.470000\n", | |
| "50% 149298.000000 0.480671 5010.180000\n", | |
| "75% 183027.000000 1.525380 19808.500000\n", | |
| "max 371277.000000 5.545720 57767.400000\n", | |
| " market_cap price volume\n", | |
| "count 69.000000 69.000000 69.000000\n", | |
| "mean 8476995.420290 223.488448 1578959.434783\n", | |
| "std 4914505.365941 569.370454 1245289.519626\n", | |
| "min 688986.000000 33.946500 497750.000000\n", | |
| "25% 4408342.000000 48.889300 782351.000000\n", | |
| "50% 8309063.000000 59.926000 1175030.000000\n", | |
| "75% 9995588.000000 108.098000 1824260.000000\n", | |
| "max 21010286.000000 4293.370000 7647870.000000\n", | |
| " market_cap price volume\n", | |
| "count 505.000000 505.000000 505.000000\n", | |
| "mean 16738.881188 0.001595 811.751865\n", | |
| "std 22510.252409 0.002245 3406.947822\n", | |
| "min 1156.000000 0.000103 0.000203\n", | |
| "25% 3189.000000 0.000283 0.124818\n", | |
| "50% 9194.000000 0.000816 3.451900\n", | |
| "75% 18057.000000 0.001774 138.546000\n", | |
| "max 150902.000000 0.013762 42587.300000\n", | |
| " market_cap price volume\n", | |
| "count 1007.000000 1.007000e+03 1007.000000\n", | |
| "mean 242373.024826 7.440609e-06 751.170222\n", | |
| "std 269688.107655 7.817524e-06 7958.637194\n", | |
| "min 16312.000000 6.008380e-07 0.000572\n", | |
| "25% 103314.000000 3.319350e-06 41.349950\n", | |
| "50% 213321.000000 6.420650e-06 90.192600\n", | |
| "75% 352414.000000 1.083185e-05 221.941000\n", | |
| "max 6804993.000000 1.906290e-04 189777.000000\n", | |
| " market_cap price volume\n", | |
| "count 1194.000000 1194.000000 1194.000000\n", | |
| "mean 1067734.709380 0.006656 11314.324302\n", | |
| "std 1448285.952182 0.009127 48774.651900\n", | |
| "min 19443.000000 0.000131 0.000000\n", | |
| "25% 293939.750000 0.001805 194.702000\n", | |
| "50% 452740.000000 0.002768 948.117000\n", | |
| "75% 1216484.000000 0.007569 5678.285000\n", | |
| "max 13960317.000000 0.088232 890944.000000\n", | |
| " market_cap price volume\n", | |
| "count 672.000000 672.000000 672.000000\n", | |
| "mean 91837.029762 0.013682 295.147133\n", | |
| "std 128346.879533 0.027898 1017.383418\n", | |
| "min 0.000000 0.000481 0.049847\n", | |
| "25% 17419.000000 0.001491 16.896975\n", | |
| "50% 33924.000000 0.002860 60.752800\n", | |
| "75% 112893.000000 0.011825 187.739000\n", | |
| "max 861959.000000 0.187623 16457.900000\n", | |
| " market_cap price volume\n", | |
| "count 207.000000 207.000000 207.000000\n", | |
| "mean 50522.714976 0.013018 1973.364169\n", | |
| "std 72531.457397 0.018685 3779.047442\n", | |
| "min 581.000000 0.000149 0.004909\n", | |
| "25% 2097.000000 0.000536 1.006783\n", | |
| "50% 5469.000000 0.001397 23.266500\n", | |
| "75% 75741.000000 0.019623 2708.335000\n", | |
| "max 253834.000000 0.065216 22602.900000\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "for coin in df.columns.levels[0]:\n", | |
| " stats= df[coin].describe()\n", | |
| " print(stats)\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 49, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T13:08:04.908012", | |
| "start_time": "2017-02-22T13:08:04.897236" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "USDT 0.185193\n", | |
| "BFX 3.232714\n", | |
| "BTC 4.395716\n", | |
| "NBT 5.417082\n", | |
| "VRS 5.581760\n", | |
| "ACCI 5.630178\n", | |
| "NVC 5.784190\n", | |
| "BITUSD 5.796788\n", | |
| "YBC 6.072853\n", | |
| "LTC 6.075809\n", | |
| "BTS 6.218633\n", | |
| "XRP 6.342567\n", | |
| "XLM 6.380110\n", | |
| "DCR 6.588263\n", | |
| "BILS 6.737228\n", | |
| "PPC 6.903826\n", | |
| "MAID 6.971868\n", | |
| "ARDR 7.227786\n", | |
| "NMC 7.618552\n", | |
| "PLS 7.732396\n", | |
| "SNGLS 7.774470\n", | |
| "DOGE 7.791359\n", | |
| "XMR 7.932052\n", | |
| "BITGOLD 8.009720\n", | |
| "XEM 8.180954\n", | |
| "NXT 8.251233\n", | |
| "ZCC 8.294708\n", | |
| "ETC 8.433524\n", | |
| "RISE 8.550165\n", | |
| "BCY 8.766600\n", | |
| " ... \n", | |
| "P7C 80.014313\n", | |
| "LDOGE 81.242199\n", | |
| "KOBO 82.613240\n", | |
| "NXTPRIVACY 85.989835\n", | |
| "EUC 86.451637\n", | |
| "PLU 87.831310\n", | |
| "CZC 88.135730\n", | |
| "TP1 88.850024\n", | |
| "XAU 91.518050\n", | |
| "BLZ 92.060785\n", | |
| "FLAP 92.170506\n", | |
| "NEC 94.807970\n", | |
| "NTR 96.693133\n", | |
| "XMS 104.677071\n", | |
| "MAIA 111.507977\n", | |
| "DIEM 114.349314\n", | |
| "CRAVE 129.198390\n", | |
| "ESP2 140.731015\n", | |
| "ICASH 145.977228\n", | |
| "ANAL 150.744185\n", | |
| "BITZ 152.544386\n", | |
| "PFC 155.990588\n", | |
| "TCO 180.454026\n", | |
| "PMP 219.418940\n", | |
| "TRON 232.196283\n", | |
| "NYC 234.037470\n", | |
| "GAY 425.677255\n", | |
| "ORO 793.022281\n", | |
| "HEX 3502.909894\n", | |
| "BAT 9816.743138\n", | |
| "dtype: float64 %\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# calculate volitility as std of daily % changes\n", | |
| "d=prices\n", | |
| "volitility = (d.diff()[1:]/d[1:]).std().sort_values(ascending=True)\n", | |
| "print(volitility*100,'%')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 50, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T13:08:04.926148", | |
| "start_time": "2017-02-22T13:08:04.909174" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "007 1.279567\n", | |
| "1CR 0.447455\n", | |
| "8BIT 0.881635\n", | |
| "ACCI 0.000000\n", | |
| "ACOIN 0.026606\n", | |
| "AC 3.655307\n", | |
| "ADN 0.138927\n", | |
| "ADZ 1.703514\n", | |
| "AEON 2.225526\n", | |
| "ALN 0.176821\n", | |
| "AMBER 2.044790\n", | |
| "AMP 33.744295\n", | |
| "ANAL 0.006675\n", | |
| "ANC 6.716056\n", | |
| "ANS 11.241800\n", | |
| "APC 1.966193\n", | |
| "APEX 0.073658\n", | |
| "ARCH 2.561107\n", | |
| "ARDR 18.541930\n", | |
| "ARG 0.366798\n", | |
| "ARI 0.113487\n", | |
| "ASC 1.490551\n", | |
| "AUR 1026.360933\n", | |
| "AU 0.212391\n", | |
| "AXR 0.024352\n", | |
| "BABCOIN 0.172608\n", | |
| "BANX 14.418180\n", | |
| "BAT 180.205011\n", | |
| "BAY 1.279410\n", | |
| "BBR 1.937272\n", | |
| " ... \n", | |
| "XLB 1.362899\n", | |
| "XLM 22.223293\n", | |
| "XMG 0.251774\n", | |
| "XMR 253.482045\n", | |
| "XMS 0.003247\n", | |
| "XPD 0.102460\n", | |
| "XPM 24.000989\n", | |
| "XPY 0.038106\n", | |
| "XQN 0.091716\n", | |
| "XRP 857.164657\n", | |
| "XSI 3.951411\n", | |
| "XST 1.202092\n", | |
| "XTC 2.167250\n", | |
| "XVC 4.354629\n", | |
| "XVG 2.394596\n", | |
| "XWC 1.740172\n", | |
| "XXX 0.431895\n", | |
| "XZC 1.324637\n", | |
| "YAC 3.556274\n", | |
| "YBC 8.737103\n", | |
| "YOC 6.727275\n", | |
| "YUM 0.006155\n", | |
| "ZCC 0.843958\n", | |
| "ZCL 0.371277\n", | |
| "ZEC 21.010286\n", | |
| "ZED 0.150902\n", | |
| "ZEIT 6.804993\n", | |
| "ZET 13.960317\n", | |
| "ZRC 0.861959\n", | |
| "ZS 0.253834\n", | |
| "dtype: float64" | |
| ] | |
| }, | |
| "execution_count": 50, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "market_cap.max()/1e6" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# correlate" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 61, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T11:42:13.662866", | |
| "start_time": "2017-02-22T11:42:13.598893" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>BTC</th>\n", | |
| " <th>ETH</th>\n", | |
| " <th>LTC</th>\n", | |
| " <th>AUR</th>\n", | |
| " <th>XRP</th>\n", | |
| " <th>STEEM</th>\n", | |
| " <th>XMR</th>\n", | |
| " <th>ETC</th>\n", | |
| " <th>DAO</th>\n", | |
| " <th>BAT</th>\n", | |
| " <th>...</th>\n", | |
| " <th>XMS</th>\n", | |
| " <th>NTC</th>\n", | |
| " <th>TP1</th>\n", | |
| " <th>OMC</th>\n", | |
| " <th>LEO</th>\n", | |
| " <th>LTS</th>\n", | |
| " <th>ACCI</th>\n", | |
| " <th>BFX</th>\n", | |
| " <th>GAY</th>\n", | |
| " <th>UNC</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>2016-03-12 00:00:00+00:00</th>\n", | |
| " <td>6454118718</td>\n", | |
| " <td>1014651004</td>\n", | |
| " <td>147932537</td>\n", | |
| " <td>712558</td>\n", | |
| " <td>299654404</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>13073727</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-13 00:00:00+00:00</th>\n", | |
| " <td>6319243775</td>\n", | |
| " <td>1113304121</td>\n", | |
| " <td>148197830</td>\n", | |
| " <td>760811</td>\n", | |
| " <td>294223051</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>13142425</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-14 00:00:00+00:00</th>\n", | |
| " <td>6347317830</td>\n", | |
| " <td>1074796440</td>\n", | |
| " <td>148129345</td>\n", | |
| " <td>730593</td>\n", | |
| " <td>291454193</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>13421447</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-15 00:00:00+00:00</th>\n", | |
| " <td>6382106218</td>\n", | |
| " <td>990550399</td>\n", | |
| " <td>147672339</td>\n", | |
| " <td>688238</td>\n", | |
| " <td>288724880</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>12798322</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-16 00:00:00+00:00</th>\n", | |
| " <td>6386112115</td>\n", | |
| " <td>1027969582</td>\n", | |
| " <td>148288786</td>\n", | |
| " <td>699990</td>\n", | |
| " <td>283202498</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>13107079</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-17 00:00:00+00:00</th>\n", | |
| " <td>6415010234</td>\n", | |
| " <td>973738885</td>\n", | |
| " <td>148406528</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>284256358</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>13041957</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-18 00:00:00+00:00</th>\n", | |
| " <td>6432325904</td>\n", | |
| " <td>849723790</td>\n", | |
| " <td>143150323</td>\n", | |
| " <td>681089</td>\n", | |
| " <td>285393562</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>13194033</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-19 00:00:00+00:00</th>\n", | |
| " <td>6272903858</td>\n", | |
| " <td>773401873</td>\n", | |
| " <td>142389604</td>\n", | |
| " <td>805192</td>\n", | |
| " <td>275300269</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>13423818</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-20 00:00:00+00:00</th>\n", | |
| " <td>6328260436</td>\n", | |
| " <td>830185950</td>\n", | |
| " <td>143938007</td>\n", | |
| " <td>777046</td>\n", | |
| " <td>273601006</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>14689038</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-21 00:00:00+00:00</th>\n", | |
| " <td>6322102332</td>\n", | |
| " <td>846003114</td>\n", | |
| " <td>144104271</td>\n", | |
| " <td>772654</td>\n", | |
| " <td>272262673</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>15926703</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-22 00:00:00+00:00</th>\n", | |
| " <td>6376447384</td>\n", | |
| " <td>906543211</td>\n", | |
| " <td>145452960</td>\n", | |
| " <td>742780</td>\n", | |
| " <td>278049604</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>16661931</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-23 00:00:00+00:00</th>\n", | |
| " <td>6432579040</td>\n", | |
| " <td>932606652</td>\n", | |
| " <td>145799711</td>\n", | |
| " <td>760953</td>\n", | |
| " <td>280617441</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>16054185</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-24 00:00:00+00:00</th>\n", | |
| " <td>6412568198</td>\n", | |
| " <td>898534164</td>\n", | |
| " <td>145943864</td>\n", | |
| " <td>796452</td>\n", | |
| " <td>285275433</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>16055332</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-25 00:00:00+00:00</th>\n", | |
| " <td>6400048948</td>\n", | |
| " <td>837180340</td>\n", | |
| " <td>145689378</td>\n", | |
| " <td>825599</td>\n", | |
| " <td>283247269</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>19292292</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-26 00:00:00+00:00</th>\n", | |
| " <td>6423459973</td>\n", | |
| " <td>861000991</td>\n", | |
| " <td>144945545</td>\n", | |
| " <td>815390</td>\n", | |
| " <td>281071014</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>18632246</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-27 00:00:00+00:00</th>\n", | |
| " <td>6421419769</td>\n", | |
| " <td>857526401</td>\n", | |
| " <td>148683400</td>\n", | |
| " <td>840704</td>\n", | |
| " <td>277157267</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>18951263</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-28 00:00:00+00:00</th>\n", | |
| " <td>6538632483</td>\n", | |
| " <td>892094531</td>\n", | |
| " <td>147303632</td>\n", | |
| " <td>808406</td>\n", | |
| " <td>274314945</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>16795141</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-29 00:00:00+00:00</th>\n", | |
| " <td>6542330317</td>\n", | |
| " <td>904854291</td>\n", | |
| " <td>144801816</td>\n", | |
| " <td>810819</td>\n", | |
| " <td>261173034</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>17048242</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-30 00:00:00+00:00</th>\n", | |
| " <td>6398704261</td>\n", | |
| " <td>935961164</td>\n", | |
| " <td>145210877</td>\n", | |
| " <td>879048</td>\n", | |
| " <td>258643770</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>16943938</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-03-31 00:00:00+00:00</th>\n", | |
| " <td>6409054690</td>\n", | |
| " <td>938594765</td>\n", | |
| " <td>146254270</td>\n", | |
| " <td>831873</td>\n", | |
| " <td>251947282</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>16337196</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-04-01 00:00:00+00:00</th>\n", | |
| " <td>6419630688</td>\n", | |
| " <td>914900106</td>\n", | |
| " <td>146355890</td>\n", | |
| " <td>952196</td>\n", | |
| " <td>256636959</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>16702978</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-04-02 00:00:00+00:00</th>\n", | |
| " <td>6476604093</td>\n", | |
| " <td>903893730</td>\n", | |
| " <td>147215417</td>\n", | |
| " <td>938980</td>\n", | |
| " <td>256476814</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>16869664</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-04-03 00:00:00+00:00</th>\n", | |
| " <td>6477599010</td>\n", | |
| " <td>908509408</td>\n", | |
| " <td>147172683</td>\n", | |
| " <td>864903</td>\n", | |
| " <td>259397659</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>17262011</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-04-04 00:00:00+00:00</th>\n", | |
| " <td>6490795409</td>\n", | |
| " <td>909730833</td>\n", | |
| " <td>146146924</td>\n", | |
| " <td>913697</td>\n", | |
| " <td>258555604</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>17389129</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-04-05 00:00:00+00:00</th>\n", | |
| " <td>6515799004</td>\n", | |
| " <td>851531661</td>\n", | |
| " <td>146792649</td>\n", | |
| " <td>1547337</td>\n", | |
| " <td>257801027</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>17940404</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-04-06 00:00:00+00:00</th>\n", | |
| " <td>6532099776</td>\n", | |
| " <td>809937788</td>\n", | |
| " <td>147004545</td>\n", | |
| " <td>1820801</td>\n", | |
| " <td>254140069</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>17074021</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-04-07 00:00:00+00:00</th>\n", | |
| " <td>6502380443</td>\n", | |
| " <td>842871270</td>\n", | |
| " <td>146923058</td>\n", | |
| " <td>1553369</td>\n", | |
| " <td>250198425</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>18013183</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-04-08 00:00:00+00:00</th>\n", | |
| " <td>6529370004</td>\n", | |
| " <td>782018685</td>\n", | |
| " <td>146863519</td>\n", | |
| " <td>1649962</td>\n", | |
| " <td>233692429</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>17079710</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-04-09 00:00:00+00:00</th>\n", | |
| " <td>6445895681</td>\n", | |
| " <td>781944370</td>\n", | |
| " <td>145651888</td>\n", | |
| " <td>1568549</td>\n", | |
| " <td>225035623</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>15252036</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-04-10 00:00:00+00:00</th>\n", | |
| " <td>6466853128</td>\n", | |
| " <td>702146410</td>\n", | |
| " <td>146207575</td>\n", | |
| " <td>1615348</td>\n", | |
| " <td>211869605</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>11581373</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>...</th>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-07 00:00:00+00:00</th>\n", | |
| " <td>12287077119</td>\n", | |
| " <td>690488095</td>\n", | |
| " <td>176496031</td>\n", | |
| " <td>1197100</td>\n", | |
| " <td>238730863</td>\n", | |
| " <td>48873458</td>\n", | |
| " <td>104550279</td>\n", | |
| " <td>69999287</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-08 00:00:00+00:00</th>\n", | |
| " <td>12388436817</td>\n", | |
| " <td>741521816</td>\n", | |
| " <td>180202799</td>\n", | |
| " <td>1214762</td>\n", | |
| " <td>246061208</td>\n", | |
| " <td>54939325</td>\n", | |
| " <td>104800059</td>\n", | |
| " <td>71297548</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-09 00:00:00+00:00</th>\n", | |
| " <td>12396654603</td>\n", | |
| " <td>748979601</td>\n", | |
| " <td>180101605</td>\n", | |
| " <td>1198615</td>\n", | |
| " <td>256242026</td>\n", | |
| " <td>53031732</td>\n", | |
| " <td>107823800</td>\n", | |
| " <td>71101080</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-10 00:00:00+00:00</th>\n", | |
| " <td>12429452049</td>\n", | |
| " <td>724965929</td>\n", | |
| " <td>179947316</td>\n", | |
| " <td>1211871</td>\n", | |
| " <td>257067382</td>\n", | |
| " <td>49201861</td>\n", | |
| " <td>104474745</td>\n", | |
| " <td>75031970</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-11 00:00:00+00:00</th>\n", | |
| " <td>12325803984</td>\n", | |
| " <td>711158842</td>\n", | |
| " <td>177919986</td>\n", | |
| " <td>1193784</td>\n", | |
| " <td>245247112</td>\n", | |
| " <td>42536687</td>\n", | |
| " <td>107033041</td>\n", | |
| " <td>81667659</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-12 00:00:00+00:00</th>\n", | |
| " <td>12512276029</td>\n", | |
| " <td>736765091</td>\n", | |
| " <td>178888253</td>\n", | |
| " <td>1102250</td>\n", | |
| " <td>242941298</td>\n", | |
| " <td>44054157</td>\n", | |
| " <td>107799077</td>\n", | |
| " <td>78119836</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-13 00:00:00+00:00</th>\n", | |
| " <td>12535417663</td>\n", | |
| " <td>727077818</td>\n", | |
| " <td>178413620</td>\n", | |
| " <td>1081869</td>\n", | |
| " <td>243822806</td>\n", | |
| " <td>37769967</td>\n", | |
| " <td>109450853</td>\n", | |
| " <td>82228006</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-14 00:00:00+00:00</th>\n", | |
| " <td>12537467101</td>\n", | |
| " <td>727679613</td>\n", | |
| " <td>177649540</td>\n", | |
| " <td>1082708</td>\n", | |
| " <td>241579262</td>\n", | |
| " <td>38940144</td>\n", | |
| " <td>114426917</td>\n", | |
| " <td>84648872</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-15 00:00:00+00:00</th>\n", | |
| " <td>12507715974</td>\n", | |
| " <td>694591868</td>\n", | |
| " <td>177201415</td>\n", | |
| " <td>1080319</td>\n", | |
| " <td>240454430</td>\n", | |
| " <td>40350825</td>\n", | |
| " <td>114045471</td>\n", | |
| " <td>95363656</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-16 00:00:00+00:00</th>\n", | |
| " <td>12579889102</td>\n", | |
| " <td>679758032</td>\n", | |
| " <td>177454023</td>\n", | |
| " <td>1100033</td>\n", | |
| " <td>239244161</td>\n", | |
| " <td>39279208</td>\n", | |
| " <td>115430945</td>\n", | |
| " <td>92865848</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-17 00:00:00+00:00</th>\n", | |
| " <td>12681376462</td>\n", | |
| " <td>659201020</td>\n", | |
| " <td>180728047</td>\n", | |
| " <td>1100752</td>\n", | |
| " <td>239951104</td>\n", | |
| " <td>36837516</td>\n", | |
| " <td>112915848</td>\n", | |
| " <td>88310419</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-18 00:00:00+00:00</th>\n", | |
| " <td>12693884005</td>\n", | |
| " <td>688744816</td>\n", | |
| " <td>179819175</td>\n", | |
| " <td>1071210</td>\n", | |
| " <td>234263345</td>\n", | |
| " <td>38754660</td>\n", | |
| " <td>117320924</td>\n", | |
| " <td>91515217</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-19 00:00:00+00:00</th>\n", | |
| " <td>12708637993</td>\n", | |
| " <td>672715536</td>\n", | |
| " <td>179112167</td>\n", | |
| " <td>1062362</td>\n", | |
| " <td>235124563</td>\n", | |
| " <td>34646400</td>\n", | |
| " <td>118425755</td>\n", | |
| " <td>99780791</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-20 00:00:00+00:00</th>\n", | |
| " <td>12735392707</td>\n", | |
| " <td>668366761</td>\n", | |
| " <td>179287025</td>\n", | |
| " <td>966334</td>\n", | |
| " <td>233820924</td>\n", | |
| " <td>32207134</td>\n", | |
| " <td>116748801</td>\n", | |
| " <td>102023816</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-21 00:00:00+00:00</th>\n", | |
| " <td>12996923069</td>\n", | |
| " <td>689686146</td>\n", | |
| " <td>179016129</td>\n", | |
| " <td>936317</td>\n", | |
| " <td>232270303</td>\n", | |
| " <td>30697187</td>\n", | |
| " <td>115943803</td>\n", | |
| " <td>99922227</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-22 00:00:00+00:00</th>\n", | |
| " <td>13811236710</td>\n", | |
| " <td>663842655</td>\n", | |
| " <td>181673382</td>\n", | |
| " <td>993105</td>\n", | |
| " <td>230784112</td>\n", | |
| " <td>30504574</td>\n", | |
| " <td>123523585</td>\n", | |
| " <td>96473170</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-23 00:00:00+00:00</th>\n", | |
| " <td>14667032138</td>\n", | |
| " <td>631328172</td>\n", | |
| " <td>226534598</td>\n", | |
| " <td>871554</td>\n", | |
| " <td>229913566</td>\n", | |
| " <td>32679791</td>\n", | |
| " <td>128695701</td>\n", | |
| " <td>91780556</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-24 00:00:00+00:00</th>\n", | |
| " <td>14314033444</td>\n", | |
| " <td>640786457</td>\n", | |
| " <td>223116631</td>\n", | |
| " <td>838304</td>\n", | |
| " <td>225715547</td>\n", | |
| " <td>31464065</td>\n", | |
| " <td>131325184</td>\n", | |
| " <td>95768353</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-25 00:00:00+00:00</th>\n", | |
| " <td>13951003746</td>\n", | |
| " <td>633413269</td>\n", | |
| " <td>213218795</td>\n", | |
| " <td>826833</td>\n", | |
| " <td>229577293</td>\n", | |
| " <td>31168771</td>\n", | |
| " <td>132644035</td>\n", | |
| " <td>93278501</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-26 00:00:00+00:00</th>\n", | |
| " <td>14417801253</td>\n", | |
| " <td>632923308</td>\n", | |
| " <td>213400695</td>\n", | |
| " <td>846564</td>\n", | |
| " <td>231713026</td>\n", | |
| " <td>35030610</td>\n", | |
| " <td>138171214</td>\n", | |
| " <td>91736052</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-27 00:00:00+00:00</th>\n", | |
| " <td>14947600635</td>\n", | |
| " <td>630911471</td>\n", | |
| " <td>218607414</td>\n", | |
| " <td>860852</td>\n", | |
| " <td>227509246</td>\n", | |
| " <td>35054595</td>\n", | |
| " <td>169840011</td>\n", | |
| " <td>92670795</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-28 00:00:00+00:00</th>\n", | |
| " <td>15434484300</td>\n", | |
| " <td>621569992</td>\n", | |
| " <td>223904499</td>\n", | |
| " <td>830964</td>\n", | |
| " <td>223506726</td>\n", | |
| " <td>35587979</td>\n", | |
| " <td>189869339</td>\n", | |
| " <td>92910241</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-29 00:00:00+00:00</th>\n", | |
| " <td>15643515999</td>\n", | |
| " <td>723069367</td>\n", | |
| " <td>223648377</td>\n", | |
| " <td>844971</td>\n", | |
| " <td>222613837</td>\n", | |
| " <td>37653517</td>\n", | |
| " <td>178153992</td>\n", | |
| " <td>121914712</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-30 00:00:00+00:00</th>\n", | |
| " <td>15257615837</td>\n", | |
| " <td>713681281</td>\n", | |
| " <td>215536357</td>\n", | |
| " <td>846858</td>\n", | |
| " <td>230476220</td>\n", | |
| " <td>36642655</td>\n", | |
| " <td>176572392</td>\n", | |
| " <td>125917087</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2016-12-31 00:00:00+00:00</th>\n", | |
| " <td>15306687904</td>\n", | |
| " <td>699235532</td>\n", | |
| " <td>212517503</td>\n", | |
| " <td>991885</td>\n", | |
| " <td>232325425</td>\n", | |
| " <td>39799857</td>\n", | |
| " <td>186854204</td>\n", | |
| " <td>124757704</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-01 00:00:00+00:00</th>\n", | |
| " <td>15641622845</td>\n", | |
| " <td>720735075</td>\n", | |
| " <td>221698431</td>\n", | |
| " <td>1010560</td>\n", | |
| " <td>236418822</td>\n", | |
| " <td>37258363</td>\n", | |
| " <td>187365475</td>\n", | |
| " <td>124525795</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-02 00:00:00+00:00</th>\n", | |
| " <td>16494303816</td>\n", | |
| " <td>714196626</td>\n", | |
| " <td>228478985</td>\n", | |
| " <td>954005</td>\n", | |
| " <td>232398100</td>\n", | |
| " <td>35468246</td>\n", | |
| " <td>222784201</td>\n", | |
| " <td>123222050</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-03 00:00:00+00:00</th>\n", | |
| " <td>16570318264</td>\n", | |
| " <td>824588224</td>\n", | |
| " <td>227400616</td>\n", | |
| " <td>989192</td>\n", | |
| " <td>229693878</td>\n", | |
| " <td>36158963</td>\n", | |
| " <td>207269741</td>\n", | |
| " <td>139567610</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-04 00:00:00+00:00</th>\n", | |
| " <td>17698795950</td>\n", | |
| " <td>949044121</td>\n", | |
| " <td>237308612</td>\n", | |
| " <td>1120293</td>\n", | |
| " <td>233281460</td>\n", | |
| " <td>40564741</td>\n", | |
| " <td>248710699</td>\n", | |
| " <td>138956354</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2017-01-05 00:00:00+00:00</th>\n", | |
| " <td>18644431654</td>\n", | |
| " <td>1031350707</td>\n", | |
| " <td>240781512</td>\n", | |
| " <td>1201360</td>\n", | |
| " <td>236720785</td>\n", | |
| " <td>41172420</td>\n", | |
| " <td>253482045</td>\n", | |
| " <td>159099456</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>300 rows × 465 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " BTC ETH LTC AUR \\\n", | |
| "2016-03-12 00:00:00+00:00 6454118718 1014651004 147932537 712558 \n", | |
| "2016-03-13 00:00:00+00:00 6319243775 1113304121 148197830 760811 \n", | |
| "2016-03-14 00:00:00+00:00 6347317830 1074796440 148129345 730593 \n", | |
| "2016-03-15 00:00:00+00:00 6382106218 990550399 147672339 688238 \n", | |
| "2016-03-16 00:00:00+00:00 6386112115 1027969582 148288786 699990 \n", | |
| "2016-03-17 00:00:00+00:00 6415010234 973738885 148406528 NaN \n", | |
| "2016-03-18 00:00:00+00:00 6432325904 849723790 143150323 681089 \n", | |
| "2016-03-19 00:00:00+00:00 6272903858 773401873 142389604 805192 \n", | |
| "2016-03-20 00:00:00+00:00 6328260436 830185950 143938007 777046 \n", | |
| "2016-03-21 00:00:00+00:00 6322102332 846003114 144104271 772654 \n", | |
| "2016-03-22 00:00:00+00:00 6376447384 906543211 145452960 742780 \n", | |
| "2016-03-23 00:00:00+00:00 6432579040 932606652 145799711 760953 \n", | |
| "2016-03-24 00:00:00+00:00 6412568198 898534164 145943864 796452 \n", | |
| "2016-03-25 00:00:00+00:00 6400048948 837180340 145689378 825599 \n", | |
| "2016-03-26 00:00:00+00:00 6423459973 861000991 144945545 815390 \n", | |
| "2016-03-27 00:00:00+00:00 6421419769 857526401 148683400 840704 \n", | |
| "2016-03-28 00:00:00+00:00 6538632483 892094531 147303632 808406 \n", | |
| "2016-03-29 00:00:00+00:00 6542330317 904854291 144801816 810819 \n", | |
| "2016-03-30 00:00:00+00:00 6398704261 935961164 145210877 879048 \n", | |
| "2016-03-31 00:00:00+00:00 6409054690 938594765 146254270 831873 \n", | |
| "2016-04-01 00:00:00+00:00 6419630688 914900106 146355890 952196 \n", | |
| "2016-04-02 00:00:00+00:00 6476604093 903893730 147215417 938980 \n", | |
| "2016-04-03 00:00:00+00:00 6477599010 908509408 147172683 864903 \n", | |
| "2016-04-04 00:00:00+00:00 6490795409 909730833 146146924 913697 \n", | |
| "2016-04-05 00:00:00+00:00 6515799004 851531661 146792649 1547337 \n", | |
| "2016-04-06 00:00:00+00:00 6532099776 809937788 147004545 1820801 \n", | |
| "2016-04-07 00:00:00+00:00 6502380443 842871270 146923058 1553369 \n", | |
| "2016-04-08 00:00:00+00:00 6529370004 782018685 146863519 1649962 \n", | |
| "2016-04-09 00:00:00+00:00 6445895681 781944370 145651888 1568549 \n", | |
| "2016-04-10 00:00:00+00:00 6466853128 702146410 146207575 1615348 \n", | |
| "... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 12287077119 690488095 176496031 1197100 \n", | |
| "2016-12-08 00:00:00+00:00 12388436817 741521816 180202799 1214762 \n", | |
| "2016-12-09 00:00:00+00:00 12396654603 748979601 180101605 1198615 \n", | |
| "2016-12-10 00:00:00+00:00 12429452049 724965929 179947316 1211871 \n", | |
| "2016-12-11 00:00:00+00:00 12325803984 711158842 177919986 1193784 \n", | |
| "2016-12-12 00:00:00+00:00 12512276029 736765091 178888253 1102250 \n", | |
| "2016-12-13 00:00:00+00:00 12535417663 727077818 178413620 1081869 \n", | |
| "2016-12-14 00:00:00+00:00 12537467101 727679613 177649540 1082708 \n", | |
| "2016-12-15 00:00:00+00:00 12507715974 694591868 177201415 1080319 \n", | |
| "2016-12-16 00:00:00+00:00 12579889102 679758032 177454023 1100033 \n", | |
| "2016-12-17 00:00:00+00:00 12681376462 659201020 180728047 1100752 \n", | |
| "2016-12-18 00:00:00+00:00 12693884005 688744816 179819175 1071210 \n", | |
| "2016-12-19 00:00:00+00:00 12708637993 672715536 179112167 1062362 \n", | |
| "2016-12-20 00:00:00+00:00 12735392707 668366761 179287025 966334 \n", | |
| "2016-12-21 00:00:00+00:00 12996923069 689686146 179016129 936317 \n", | |
| "2016-12-22 00:00:00+00:00 13811236710 663842655 181673382 993105 \n", | |
| "2016-12-23 00:00:00+00:00 14667032138 631328172 226534598 871554 \n", | |
| "2016-12-24 00:00:00+00:00 14314033444 640786457 223116631 838304 \n", | |
| "2016-12-25 00:00:00+00:00 13951003746 633413269 213218795 826833 \n", | |
| "2016-12-26 00:00:00+00:00 14417801253 632923308 213400695 846564 \n", | |
| "2016-12-27 00:00:00+00:00 14947600635 630911471 218607414 860852 \n", | |
| "2016-12-28 00:00:00+00:00 15434484300 621569992 223904499 830964 \n", | |
| "2016-12-29 00:00:00+00:00 15643515999 723069367 223648377 844971 \n", | |
| "2016-12-30 00:00:00+00:00 15257615837 713681281 215536357 846858 \n", | |
| "2016-12-31 00:00:00+00:00 15306687904 699235532 212517503 991885 \n", | |
| "2017-01-01 00:00:00+00:00 15641622845 720735075 221698431 1010560 \n", | |
| "2017-01-02 00:00:00+00:00 16494303816 714196626 228478985 954005 \n", | |
| "2017-01-03 00:00:00+00:00 16570318264 824588224 227400616 989192 \n", | |
| "2017-01-04 00:00:00+00:00 17698795950 949044121 237308612 1120293 \n", | |
| "2017-01-05 00:00:00+00:00 18644431654 1031350707 240781512 1201360 \n", | |
| "\n", | |
| " XRP STEEM XMR ETC DAO \\\n", | |
| "2016-03-12 00:00:00+00:00 299654404 NaN 13073727 NaN NaN \n", | |
| "2016-03-13 00:00:00+00:00 294223051 NaN 13142425 NaN NaN \n", | |
| "2016-03-14 00:00:00+00:00 291454193 NaN 13421447 NaN NaN \n", | |
| "2016-03-15 00:00:00+00:00 288724880 NaN 12798322 NaN NaN \n", | |
| "2016-03-16 00:00:00+00:00 283202498 NaN 13107079 NaN NaN \n", | |
| "2016-03-17 00:00:00+00:00 284256358 NaN 13041957 NaN NaN \n", | |
| "2016-03-18 00:00:00+00:00 285393562 NaN 13194033 NaN NaN \n", | |
| "2016-03-19 00:00:00+00:00 275300269 NaN 13423818 NaN NaN \n", | |
| "2016-03-20 00:00:00+00:00 273601006 NaN 14689038 NaN NaN \n", | |
| "2016-03-21 00:00:00+00:00 272262673 NaN 15926703 NaN NaN \n", | |
| "2016-03-22 00:00:00+00:00 278049604 NaN 16661931 NaN NaN \n", | |
| "2016-03-23 00:00:00+00:00 280617441 NaN 16054185 NaN NaN \n", | |
| "2016-03-24 00:00:00+00:00 285275433 NaN 16055332 NaN NaN \n", | |
| "2016-03-25 00:00:00+00:00 283247269 NaN 19292292 NaN NaN \n", | |
| "2016-03-26 00:00:00+00:00 281071014 NaN 18632246 NaN NaN \n", | |
| "2016-03-27 00:00:00+00:00 277157267 NaN 18951263 NaN NaN \n", | |
| "2016-03-28 00:00:00+00:00 274314945 NaN 16795141 NaN NaN \n", | |
| "2016-03-29 00:00:00+00:00 261173034 NaN 17048242 NaN NaN \n", | |
| "2016-03-30 00:00:00+00:00 258643770 NaN 16943938 NaN NaN \n", | |
| "2016-03-31 00:00:00+00:00 251947282 NaN 16337196 NaN NaN \n", | |
| "2016-04-01 00:00:00+00:00 256636959 NaN 16702978 NaN NaN \n", | |
| "2016-04-02 00:00:00+00:00 256476814 NaN 16869664 NaN NaN \n", | |
| "2016-04-03 00:00:00+00:00 259397659 NaN 17262011 NaN NaN \n", | |
| "2016-04-04 00:00:00+00:00 258555604 NaN 17389129 NaN NaN \n", | |
| "2016-04-05 00:00:00+00:00 257801027 NaN 17940404 NaN NaN \n", | |
| "2016-04-06 00:00:00+00:00 254140069 NaN 17074021 NaN NaN \n", | |
| "2016-04-07 00:00:00+00:00 250198425 NaN 18013183 NaN NaN \n", | |
| "2016-04-08 00:00:00+00:00 233692429 NaN 17079710 NaN NaN \n", | |
| "2016-04-09 00:00:00+00:00 225035623 NaN 15252036 NaN NaN \n", | |
| "2016-04-10 00:00:00+00:00 211869605 NaN 11581373 NaN NaN \n", | |
| "... ... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 238730863 48873458 104550279 69999287 0 \n", | |
| "2016-12-08 00:00:00+00:00 246061208 54939325 104800059 71297548 0 \n", | |
| "2016-12-09 00:00:00+00:00 256242026 53031732 107823800 71101080 0 \n", | |
| "2016-12-10 00:00:00+00:00 257067382 49201861 104474745 75031970 0 \n", | |
| "2016-12-11 00:00:00+00:00 245247112 42536687 107033041 81667659 0 \n", | |
| "2016-12-12 00:00:00+00:00 242941298 44054157 107799077 78119836 0 \n", | |
| "2016-12-13 00:00:00+00:00 243822806 37769967 109450853 82228006 0 \n", | |
| "2016-12-14 00:00:00+00:00 241579262 38940144 114426917 84648872 0 \n", | |
| "2016-12-15 00:00:00+00:00 240454430 40350825 114045471 95363656 0 \n", | |
| "2016-12-16 00:00:00+00:00 239244161 39279208 115430945 92865848 0 \n", | |
| "2016-12-17 00:00:00+00:00 239951104 36837516 112915848 88310419 0 \n", | |
| "2016-12-18 00:00:00+00:00 234263345 38754660 117320924 91515217 0 \n", | |
| "2016-12-19 00:00:00+00:00 235124563 34646400 118425755 99780791 0 \n", | |
| "2016-12-20 00:00:00+00:00 233820924 32207134 116748801 102023816 NaN \n", | |
| "2016-12-21 00:00:00+00:00 232270303 30697187 115943803 99922227 0 \n", | |
| "2016-12-22 00:00:00+00:00 230784112 30504574 123523585 96473170 NaN \n", | |
| "2016-12-23 00:00:00+00:00 229913566 32679791 128695701 91780556 NaN \n", | |
| "2016-12-24 00:00:00+00:00 225715547 31464065 131325184 95768353 NaN \n", | |
| "2016-12-25 00:00:00+00:00 229577293 31168771 132644035 93278501 NaN \n", | |
| "2016-12-26 00:00:00+00:00 231713026 35030610 138171214 91736052 NaN \n", | |
| "2016-12-27 00:00:00+00:00 227509246 35054595 169840011 92670795 0 \n", | |
| "2016-12-28 00:00:00+00:00 223506726 35587979 189869339 92910241 0 \n", | |
| "2016-12-29 00:00:00+00:00 222613837 37653517 178153992 121914712 NaN \n", | |
| "2016-12-30 00:00:00+00:00 230476220 36642655 176572392 125917087 NaN \n", | |
| "2016-12-31 00:00:00+00:00 232325425 39799857 186854204 124757704 0 \n", | |
| "2017-01-01 00:00:00+00:00 236418822 37258363 187365475 124525795 NaN \n", | |
| "2017-01-02 00:00:00+00:00 232398100 35468246 222784201 123222050 NaN \n", | |
| "2017-01-03 00:00:00+00:00 229693878 36158963 207269741 139567610 NaN \n", | |
| "2017-01-04 00:00:00+00:00 233281460 40564741 248710699 138956354 0 \n", | |
| "2017-01-05 00:00:00+00:00 236720785 41172420 253482045 159099456 0 \n", | |
| "\n", | |
| " BAT ... XMS NTC TP1 OMC LEO LTS ACCI BFX \\\n", | |
| "2016-03-12 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 NaN 0 NaN \n", | |
| "2016-03-13 00:00:00+00:00 NaN ... NaN NaN NaN NaN 0 0 0 NaN \n", | |
| "2016-03-14 00:00:00+00:00 NaN ... NaN NaN NaN NaN 0 0 0 NaN \n", | |
| "2016-03-15 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 0 0 NaN \n", | |
| "2016-03-16 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 NaN 0 NaN \n", | |
| "2016-03-17 00:00:00+00:00 NaN ... NaN NaN NaN NaN 0 0 0 NaN \n", | |
| "2016-03-18 00:00:00+00:00 NaN ... NaN NaN NaN NaN 0 NaN 0 NaN \n", | |
| "2016-03-19 00:00:00+00:00 NaN ... NaN NaN NaN NaN 0 0 0 NaN \n", | |
| "2016-03-20 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 0 0 NaN \n", | |
| "2016-03-21 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 0 NaN NaN \n", | |
| "2016-03-22 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 0 0 NaN \n", | |
| "2016-03-23 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 0 0 NaN \n", | |
| "2016-03-24 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 NaN 0 NaN \n", | |
| "2016-03-25 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 NaN 0 NaN \n", | |
| "2016-03-26 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 0 0 NaN \n", | |
| "2016-03-27 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 NaN 0 NaN \n", | |
| "2016-03-28 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 NaN 0 NaN \n", | |
| "2016-03-29 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 NaN 0 NaN \n", | |
| "2016-03-30 00:00:00+00:00 NaN ... NaN NaN NaN NaN 0 NaN 0 NaN \n", | |
| "2016-03-31 00:00:00+00:00 NaN ... NaN NaN NaN NaN 0 0 0 NaN \n", | |
| "2016-04-01 00:00:00+00:00 NaN ... NaN NaN NaN NaN 0 NaN 0 NaN \n", | |
| "2016-04-02 00:00:00+00:00 NaN ... NaN NaN NaN NaN 0 NaN 0 NaN \n", | |
| "2016-04-03 00:00:00+00:00 NaN ... NaN NaN NaN NaN 0 NaN 0 NaN \n", | |
| "2016-04-04 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 NaN 0 NaN \n", | |
| "2016-04-05 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 NaN 0 NaN \n", | |
| "2016-04-06 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 0 0 NaN \n", | |
| "2016-04-07 00:00:00+00:00 NaN ... NaN NaN NaN NaN 0 NaN 0 NaN \n", | |
| "2016-04-08 00:00:00+00:00 NaN ... NaN NaN NaN NaN 0 0 0 NaN \n", | |
| "2016-04-09 00:00:00+00:00 NaN ... NaN NaN NaN NaN 0 0 0 NaN \n", | |
| "2016-04-10 00:00:00+00:00 NaN ... NaN NaN 0 NaN 0 0 0 NaN \n", | |
| "... ... ... ... ... ... ... ... ... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 NaN ... NaN 0 0 0 0 NaN 0 0 \n", | |
| "2016-12-08 00:00:00+00:00 NaN ... NaN 0 NaN 0 0 NaN 0 0 \n", | |
| "2016-12-09 00:00:00+00:00 NaN ... NaN 0 0 NaN 0 NaN 0 0 \n", | |
| "2016-12-10 00:00:00+00:00 NaN ... NaN 0 0 0 0 NaN 0 0 \n", | |
| "2016-12-11 00:00:00+00:00 NaN ... NaN 0 NaN NaN 0 NaN 0 0 \n", | |
| "2016-12-12 00:00:00+00:00 NaN ... NaN 0 0 NaN 0 NaN 0 0 \n", | |
| "2016-12-13 00:00:00+00:00 NaN ... NaN 0 0 NaN 0 NaN 0 0 \n", | |
| "2016-12-14 00:00:00+00:00 NaN ... NaN 0 0 0 0 NaN 0 0 \n", | |
| "2016-12-15 00:00:00+00:00 NaN ... NaN 0 0 0 0 NaN 0 0 \n", | |
| "2016-12-16 00:00:00+00:00 NaN ... NaN 0 0 0 0 NaN 0 0 \n", | |
| "2016-12-17 00:00:00+00:00 NaN ... NaN 0 0 NaN 0 NaN 0 0 \n", | |
| "2016-12-18 00:00:00+00:00 NaN ... NaN 0 0 NaN 0 NaN 0 0 \n", | |
| "2016-12-19 00:00:00+00:00 NaN ... NaN 0 0 0 0 NaN 0 0 \n", | |
| "2016-12-20 00:00:00+00:00 NaN ... NaN 0 0 0 0 NaN 0 0 \n", | |
| "2016-12-21 00:00:00+00:00 NaN ... NaN 0 0 0 0 NaN 0 0 \n", | |
| "2016-12-22 00:00:00+00:00 NaN ... NaN 0 0 0 0 NaN 0 0 \n", | |
| "2016-12-23 00:00:00+00:00 NaN ... NaN 0 0 NaN 0 NaN 0 0 \n", | |
| "2016-12-24 00:00:00+00:00 NaN ... NaN 0 0 NaN 0 NaN 0 0 \n", | |
| "2016-12-25 00:00:00+00:00 NaN ... NaN 0 0 0 0 NaN 0 0 \n", | |
| "2016-12-26 00:00:00+00:00 NaN ... NaN 0 NaN 0 0 NaN 0 0 \n", | |
| "2016-12-27 00:00:00+00:00 NaN ... NaN 0 0 0 0 NaN 0 0 \n", | |
| "2016-12-28 00:00:00+00:00 NaN ... NaN 0 NaN 0 0 NaN 0 0 \n", | |
| "2016-12-29 00:00:00+00:00 NaN ... NaN 0 NaN NaN 0 NaN 0 0 \n", | |
| "2016-12-30 00:00:00+00:00 NaN ... NaN 0 0 0 0 NaN 0 0 \n", | |
| "2016-12-31 00:00:00+00:00 NaN ... NaN 0 NaN NaN 0 NaN 0 0 \n", | |
| "2017-01-01 00:00:00+00:00 NaN ... NaN 0 0 NaN 0 NaN 0 0 \n", | |
| "2017-01-02 00:00:00+00:00 NaN ... NaN 0 0 NaN 0 NaN 0 0 \n", | |
| "2017-01-03 00:00:00+00:00 NaN ... NaN 0 0 NaN 0 NaN 0 0 \n", | |
| "2017-01-04 00:00:00+00:00 NaN ... NaN 0 0 NaN 0 NaN 0 0 \n", | |
| "2017-01-05 00:00:00+00:00 NaN ... NaN 0 NaN 0 0 NaN 0 0 \n", | |
| "\n", | |
| " GAY UNC \n", | |
| "2016-03-12 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-13 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-14 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-15 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-16 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-17 00:00:00+00:00 NaN NaN \n", | |
| "2016-03-18 00:00:00+00:00 NaN NaN \n", | |
| "2016-03-19 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-20 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-21 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-22 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-23 00:00:00+00:00 NaN NaN \n", | |
| "2016-03-24 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-25 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-26 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-27 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-28 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-29 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-30 00:00:00+00:00 NaN 0 \n", | |
| "2016-03-31 00:00:00+00:00 NaN 0 \n", | |
| "2016-04-01 00:00:00+00:00 NaN 0 \n", | |
| "2016-04-02 00:00:00+00:00 NaN 0 \n", | |
| "2016-04-03 00:00:00+00:00 NaN NaN \n", | |
| "2016-04-04 00:00:00+00:00 NaN NaN \n", | |
| "2016-04-05 00:00:00+00:00 NaN NaN \n", | |
| "2016-04-06 00:00:00+00:00 NaN 0 \n", | |
| "2016-04-07 00:00:00+00:00 NaN 0 \n", | |
| "2016-04-08 00:00:00+00:00 NaN 0 \n", | |
| "2016-04-09 00:00:00+00:00 NaN 0 \n", | |
| "2016-04-10 00:00:00+00:00 NaN 0 \n", | |
| "... ... ... \n", | |
| "2016-12-07 00:00:00+00:00 NaN NaN \n", | |
| "2016-12-08 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-09 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-10 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-11 00:00:00+00:00 NaN NaN \n", | |
| "2016-12-12 00:00:00+00:00 NaN NaN \n", | |
| "2016-12-13 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-14 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-15 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-16 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-17 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-18 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-19 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-20 00:00:00+00:00 NaN NaN \n", | |
| "2016-12-21 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-22 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-23 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-24 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-25 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-26 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-27 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-28 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-29 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-30 00:00:00+00:00 NaN 0 \n", | |
| "2016-12-31 00:00:00+00:00 NaN 0 \n", | |
| "2017-01-01 00:00:00+00:00 NaN 0 \n", | |
| "2017-01-02 00:00:00+00:00 NaN 0 \n", | |
| "2017-01-03 00:00:00+00:00 NaN 0 \n", | |
| "2017-01-04 00:00:00+00:00 NaN 0 \n", | |
| "2017-01-05 00:00:00+00:00 NaN 0 \n", | |
| "\n", | |
| "[300 rows x 465 columns]" | |
| ] | |
| }, | |
| "execution_count": 61, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 62, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T11:42:18.457411", | |
| "start_time": "2017-02-22T11:42:18.447219" | |
| }, | |
| "collapsed": false, | |
| "scrolled": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# get market cap\n", | |
| "market_cap = df.xs('market_cap',axis=1,level=1)\n", | |
| "# order columns by max market cap\n", | |
| "new_col_index = market_cap[-300:].max().sort_values(ascending=False).index\n", | |
| "market_cap= market_cap.reindex_axis(new_col_index, axis=1)\n", | |
| "\n", | |
| "# just get the top N coins\n", | |
| "market_cap_top = market_cap[market_cap.columns[:30]]\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 63, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T11:42:22.424110", | |
| "start_time": "2017-02-22T11:42:21.625367" | |
| }, | |
| "collapsed": false, | |
| "scrolled": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfcAAAGPCAYAAABBBJmLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nhFQyVLkTQgghlQxV7oQQQkgl83/DmOsen0JiVwAAAABJRU5ErkJggg==\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7f70742cecc0>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# heat map of correlations\n", | |
| "import seaborn as sns\n", | |
| "corr = market_cap_top.corr()\n", | |
| "sns.heatmap(corr, \n", | |
| " xticklabels=corr.columns.values,\n", | |
| " yticklabels=corr.columns.values)\n", | |
| "plt.title('Market cap correlation between top 20 cryptocoins (of all time)')\n", | |
| "plt.savefig('/tmp/cryptocorr.png')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 51, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T11:37:22.877081", | |
| "start_time": "2017-02-22T11:37:22.874087" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# def pandas_df_to_markdown_table(df):\n", | |
| "# from IPython.display import Markdown, display\n", | |
| "# fmt = ['---' for i in range(len(df.columns))]\n", | |
| "# df_fmt = pd.DataFrame([fmt], columns=df.columns)\n", | |
| "# df_formatted = pd.concat([df_fmt, df])\n", | |
| "# return df_formatted.to_csv(sep=\"|\", index=False)\n", | |
| "\n", | |
| "# print(pandas_df_to_markdown_table(corr.round(2)))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T11:30:42.727793", | |
| "start_time": "2017-02-22T11:30:42.685294" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>BTC</th>\n", | |
| " <th>ETH</th>\n", | |
| " <th>LTC</th>\n", | |
| " <th>AUR</th>\n", | |
| " <th>XRP</th>\n", | |
| " <th>STEEM</th>\n", | |
| " <th>XMR</th>\n", | |
| " <th>ETC</th>\n", | |
| " <th>DAO</th>\n", | |
| " <th>BAT</th>\n", | |
| " <th>...</th>\n", | |
| " <th>HEX</th>\n", | |
| " <th>QRK</th>\n", | |
| " <th>ICN</th>\n", | |
| " <th>MEC</th>\n", | |
| " <th>MAID</th>\n", | |
| " <th>LSK</th>\n", | |
| " <th>PEERPLAYS</th>\n", | |
| " <th>WAVES</th>\n", | |
| " <th>DGD</th>\n", | |
| " <th>AMP</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>BTC</th>\n", | |
| " <td>1.00</td>\n", | |
| " <td>0.72</td>\n", | |
| " <td>0.62</td>\n", | |
| " <td>0.07</td>\n", | |
| " <td>-0.02</td>\n", | |
| " <td>-0.00</td>\n", | |
| " <td>0.75</td>\n", | |
| " <td>-0.29</td>\n", | |
| " <td>-0.09</td>\n", | |
| " <td>0.03</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.07</td>\n", | |
| " <td>0.32</td>\n", | |
| " <td>0.77</td>\n", | |
| " <td>0.36</td>\n", | |
| " <td>0.70</td>\n", | |
| " <td>0.26</td>\n", | |
| " <td>0.59</td>\n", | |
| " <td>0.34</td>\n", | |
| " <td>0.20</td>\n", | |
| " <td>0.19</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ETH</th>\n", | |
| " <td>0.72</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>0.73</td>\n", | |
| " <td>0.78</td>\n", | |
| " <td>0.42</td>\n", | |
| " <td>0.17</td>\n", | |
| " <td>0.49</td>\n", | |
| " <td>0.20</td>\n", | |
| " <td>0.44</td>\n", | |
| " <td>-0.29</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.95</td>\n", | |
| " <td>0.60</td>\n", | |
| " <td>-0.68</td>\n", | |
| " <td>0.14</td>\n", | |
| " <td>0.87</td>\n", | |
| " <td>0.67</td>\n", | |
| " <td>-0.40</td>\n", | |
| " <td>-0.47</td>\n", | |
| " <td>0.59</td>\n", | |
| " <td>0.60</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>LTC</th>\n", | |
| " <td>0.62</td>\n", | |
| " <td>0.73</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>0.44</td>\n", | |
| " <td>-0.19</td>\n", | |
| " <td>-0.16</td>\n", | |
| " <td>0.30</td>\n", | |
| " <td>-0.15</td>\n", | |
| " <td>0.66</td>\n", | |
| " <td>0.12</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.05</td>\n", | |
| " <td>0.84</td>\n", | |
| " <td>0.49</td>\n", | |
| " <td>0.86</td>\n", | |
| " <td>0.20</td>\n", | |
| " <td>0.60</td>\n", | |
| " <td>0.46</td>\n", | |
| " <td>-0.46</td>\n", | |
| " <td>0.26</td>\n", | |
| " <td>0.28</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>AUR</th>\n", | |
| " <td>0.07</td>\n", | |
| " <td>0.78</td>\n", | |
| " <td>0.44</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>-0.13</td>\n", | |
| " <td>-0.31</td>\n", | |
| " <td>0.32</td>\n", | |
| " <td>-0.20</td>\n", | |
| " <td>0.68</td>\n", | |
| " <td>0.14</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.00</td>\n", | |
| " <td>0.63</td>\n", | |
| " <td>-0.14</td>\n", | |
| " <td>0.71</td>\n", | |
| " <td>0.25</td>\n", | |
| " <td>-0.26</td>\n", | |
| " <td>-0.05</td>\n", | |
| " <td>-0.41</td>\n", | |
| " <td>-0.47</td>\n", | |
| " <td>0.41</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>XRP</th>\n", | |
| " <td>-0.02</td>\n", | |
| " <td>0.42</td>\n", | |
| " <td>-0.19</td>\n", | |
| " <td>-0.13</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>-0.25</td>\n", | |
| " <td>0.01</td>\n", | |
| " <td>-0.53</td>\n", | |
| " <td>-0.32</td>\n", | |
| " <td>-0.03</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.06</td>\n", | |
| " <td>-0.10</td>\n", | |
| " <td>-0.58</td>\n", | |
| " <td>-0.03</td>\n", | |
| " <td>0.23</td>\n", | |
| " <td>-0.14</td>\n", | |
| " <td>0.13</td>\n", | |
| " <td>0.64</td>\n", | |
| " <td>0.14</td>\n", | |
| " <td>-0.01</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>STEEM</th>\n", | |
| " <td>-0.00</td>\n", | |
| " <td>0.17</td>\n", | |
| " <td>-0.16</td>\n", | |
| " <td>-0.31</td>\n", | |
| " <td>-0.25</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>-0.11</td>\n", | |
| " <td>0.67</td>\n", | |
| " <td>-0.03</td>\n", | |
| " <td>-0.10</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.73</td>\n", | |
| " <td>0.34</td>\n", | |
| " <td>-0.46</td>\n", | |
| " <td>0.25</td>\n", | |
| " <td>0.29</td>\n", | |
| " <td>0.31</td>\n", | |
| " <td>-0.61</td>\n", | |
| " <td>-0.10</td>\n", | |
| " <td>0.15</td>\n", | |
| " <td>0.74</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>XMR</th>\n", | |
| " <td>0.75</td>\n", | |
| " <td>0.49</td>\n", | |
| " <td>0.30</td>\n", | |
| " <td>0.32</td>\n", | |
| " <td>0.01</td>\n", | |
| " <td>-0.11</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>-0.29</td>\n", | |
| " <td>-0.56</td>\n", | |
| " <td>-0.26</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.02</td>\n", | |
| " <td>-0.10</td>\n", | |
| " <td>0.56</td>\n", | |
| " <td>-0.16</td>\n", | |
| " <td>0.68</td>\n", | |
| " <td>-0.01</td>\n", | |
| " <td>0.50</td>\n", | |
| " <td>0.34</td>\n", | |
| " <td>0.25</td>\n", | |
| " <td>-0.03</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ETC</th>\n", | |
| " <td>-0.29</td>\n", | |
| " <td>0.20</td>\n", | |
| " <td>-0.15</td>\n", | |
| " <td>-0.20</td>\n", | |
| " <td>-0.53</td>\n", | |
| " <td>0.67</td>\n", | |
| " <td>-0.29</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.50</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.13</td>\n", | |
| " <td>0.21</td>\n", | |
| " <td>0.60</td>\n", | |
| " <td>0.38</td>\n", | |
| " <td>0.47</td>\n", | |
| " <td>-0.62</td>\n", | |
| " <td>-0.55</td>\n", | |
| " <td>0.03</td>\n", | |
| " <td>0.58</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>DAO</th>\n", | |
| " <td>-0.09</td>\n", | |
| " <td>0.44</td>\n", | |
| " <td>0.66</td>\n", | |
| " <td>0.68</td>\n", | |
| " <td>-0.32</td>\n", | |
| " <td>-0.03</td>\n", | |
| " <td>-0.56</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>-0.00</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.73</td>\n", | |
| " <td>0.56</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.68</td>\n", | |
| " <td>-0.46</td>\n", | |
| " <td>0.72</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>-0.58</td>\n", | |
| " <td>-0.03</td>\n", | |
| " <td>0.19</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>BAT</th>\n", | |
| " <td>0.03</td>\n", | |
| " <td>-0.29</td>\n", | |
| " <td>0.12</td>\n", | |
| " <td>0.14</td>\n", | |
| " <td>-0.03</td>\n", | |
| " <td>-0.10</td>\n", | |
| " <td>-0.26</td>\n", | |
| " <td>0.50</td>\n", | |
| " <td>-0.00</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.00</td>\n", | |
| " <td>0.20</td>\n", | |
| " <td>-0.48</td>\n", | |
| " <td>0.26</td>\n", | |
| " <td>-0.32</td>\n", | |
| " <td>-0.28</td>\n", | |
| " <td>-0.34</td>\n", | |
| " <td>-0.47</td>\n", | |
| " <td>-0.15</td>\n", | |
| " <td>-0.10</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>PPC</th>\n", | |
| " <td>0.38</td>\n", | |
| " <td>-0.24</td>\n", | |
| " <td>0.90</td>\n", | |
| " <td>0.52</td>\n", | |
| " <td>-0.21</td>\n", | |
| " <td>0.27</td>\n", | |
| " <td>-0.29</td>\n", | |
| " <td>0.61</td>\n", | |
| " <td>0.60</td>\n", | |
| " <td>0.16</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.04</td>\n", | |
| " <td>0.85</td>\n", | |
| " <td>-0.67</td>\n", | |
| " <td>0.87</td>\n", | |
| " <td>-0.35</td>\n", | |
| " <td>0.03</td>\n", | |
| " <td>-0.54</td>\n", | |
| " <td>-0.58</td>\n", | |
| " <td>-0.23</td>\n", | |
| " <td>0.06</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>OMNI</th>\n", | |
| " <td>0.25</td>\n", | |
| " <td>0.32</td>\n", | |
| " <td>0.88</td>\n", | |
| " <td>0.60</td>\n", | |
| " <td>-0.26</td>\n", | |
| " <td>0.23</td>\n", | |
| " <td>-0.01</td>\n", | |
| " <td>0.02</td>\n", | |
| " <td>-0.59</td>\n", | |
| " <td>0.16</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.01</td>\n", | |
| " <td>0.95</td>\n", | |
| " <td>-0.51</td>\n", | |
| " <td>0.96</td>\n", | |
| " <td>-0.21</td>\n", | |
| " <td>0.14</td>\n", | |
| " <td>-0.21</td>\n", | |
| " <td>0.28</td>\n", | |
| " <td>0.35</td>\n", | |
| " <td>0.22</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>DASH</th>\n", | |
| " <td>0.80</td>\n", | |
| " <td>0.85</td>\n", | |
| " <td>0.14</td>\n", | |
| " <td>-0.15</td>\n", | |
| " <td>-0.02</td>\n", | |
| " <td>0.28</td>\n", | |
| " <td>0.77</td>\n", | |
| " <td>0.35</td>\n", | |
| " <td>-0.62</td>\n", | |
| " <td>-0.04</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.03</td>\n", | |
| " <td>-0.22</td>\n", | |
| " <td>-0.11</td>\n", | |
| " <td>-0.22</td>\n", | |
| " <td>0.81</td>\n", | |
| " <td>0.27</td>\n", | |
| " <td>-0.03</td>\n", | |
| " <td>0.15</td>\n", | |
| " <td>0.44</td>\n", | |
| " <td>0.44</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>XEM</th>\n", | |
| " <td>0.76</td>\n", | |
| " <td>0.73</td>\n", | |
| " <td>0.55</td>\n", | |
| " <td>0.58</td>\n", | |
| " <td>0.06</td>\n", | |
| " <td>0.52</td>\n", | |
| " <td>0.55</td>\n", | |
| " <td>0.57</td>\n", | |
| " <td>0.14</td>\n", | |
| " <td>-0.34</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.73</td>\n", | |
| " <td>0.49</td>\n", | |
| " <td>-0.42</td>\n", | |
| " <td>-0.04</td>\n", | |
| " <td>0.74</td>\n", | |
| " <td>0.50</td>\n", | |
| " <td>-0.44</td>\n", | |
| " <td>0.00</td>\n", | |
| " <td>0.26</td>\n", | |
| " <td>0.70</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>REP</th>\n", | |
| " <td>0.73</td>\n", | |
| " <td>0.45</td>\n", | |
| " <td>0.65</td>\n", | |
| " <td>0.25</td>\n", | |
| " <td>0.44</td>\n", | |
| " <td>-0.28</td>\n", | |
| " <td>0.57</td>\n", | |
| " <td>-0.48</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>-0.18</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>-0.03</td>\n", | |
| " <td>-0.30</td>\n", | |
| " <td>-0.49</td>\n", | |
| " <td>0.37</td>\n", | |
| " <td>0.27</td>\n", | |
| " <td>0.03</td>\n", | |
| " <td>0.62</td>\n", | |
| " <td>0.18</td>\n", | |
| " <td>0.11</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>NMC</th>\n", | |
| " <td>0.37</td>\n", | |
| " <td>-0.19</td>\n", | |
| " <td>0.92</td>\n", | |
| " <td>0.49</td>\n", | |
| " <td>-0.17</td>\n", | |
| " <td>0.12</td>\n", | |
| " <td>-0.34</td>\n", | |
| " <td>0.60</td>\n", | |
| " <td>0.63</td>\n", | |
| " <td>0.15</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.07</td>\n", | |
| " <td>0.86</td>\n", | |
| " <td>-0.53</td>\n", | |
| " <td>0.91</td>\n", | |
| " <td>-0.38</td>\n", | |
| " <td>-0.01</td>\n", | |
| " <td>-0.59</td>\n", | |
| " <td>-0.60</td>\n", | |
| " <td>-0.19</td>\n", | |
| " <td>0.08</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>NXT</th>\n", | |
| " <td>0.22</td>\n", | |
| " <td>0.41</td>\n", | |
| " <td>0.57</td>\n", | |
| " <td>0.25</td>\n", | |
| " <td>-0.46</td>\n", | |
| " <td>0.80</td>\n", | |
| " <td>-0.15</td>\n", | |
| " <td>0.73</td>\n", | |
| " <td>0.03</td>\n", | |
| " <td>0.05</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.07</td>\n", | |
| " <td>0.44</td>\n", | |
| " <td>-0.66</td>\n", | |
| " <td>0.43</td>\n", | |
| " <td>-0.20</td>\n", | |
| " <td>0.43</td>\n", | |
| " <td>-0.57</td>\n", | |
| " <td>-0.25</td>\n", | |
| " <td>0.18</td>\n", | |
| " <td>0.75</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>DOGE</th>\n", | |
| " <td>0.36</td>\n", | |
| " <td>0.75</td>\n", | |
| " <td>0.52</td>\n", | |
| " <td>0.55</td>\n", | |
| " <td>-0.30</td>\n", | |
| " <td>0.04</td>\n", | |
| " <td>0.30</td>\n", | |
| " <td>0.35</td>\n", | |
| " <td>0.69</td>\n", | |
| " <td>0.17</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.01</td>\n", | |
| " <td>0.40</td>\n", | |
| " <td>0.05</td>\n", | |
| " <td>0.32</td>\n", | |
| " <td>0.39</td>\n", | |
| " <td>0.60</td>\n", | |
| " <td>-0.13</td>\n", | |
| " <td>-0.50</td>\n", | |
| " <td>0.21</td>\n", | |
| " <td>0.32</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>BTS</th>\n", | |
| " <td>-0.23</td>\n", | |
| " <td>0.37</td>\n", | |
| " <td>-0.19</td>\n", | |
| " <td>-0.41</td>\n", | |
| " <td>0.09</td>\n", | |
| " <td>0.58</td>\n", | |
| " <td>-0.23</td>\n", | |
| " <td>0.30</td>\n", | |
| " <td>-0.24</td>\n", | |
| " <td>-0.09</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.01</td>\n", | |
| " <td>0.52</td>\n", | |
| " <td>-0.54</td>\n", | |
| " <td>0.09</td>\n", | |
| " <td>-0.25</td>\n", | |
| " <td>0.12</td>\n", | |
| " <td>-0.07</td>\n", | |
| " <td>-0.00</td>\n", | |
| " <td>0.22</td>\n", | |
| " <td>0.48</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>SPA</th>\n", | |
| " <td>0.16</td>\n", | |
| " <td>0.18</td>\n", | |
| " <td>0.31</td>\n", | |
| " <td>0.55</td>\n", | |
| " <td>-0.07</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>-0.01</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.30</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.00</td>\n", | |
| " <td>0.32</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.37</td>\n", | |
| " <td>-0.25</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>-0.34</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>HEX</th>\n", | |
| " <td>0.07</td>\n", | |
| " <td>0.95</td>\n", | |
| " <td>0.05</td>\n", | |
| " <td>-0.00</td>\n", | |
| " <td>-0.06</td>\n", | |
| " <td>0.73</td>\n", | |
| " <td>0.02</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.73</td>\n", | |
| " <td>-0.00</td>\n", | |
| " <td>...</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>0.04</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.05</td>\n", | |
| " <td>-0.00</td>\n", | |
| " <td>0.88</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>-0.05</td>\n", | |
| " <td>0.48</td>\n", | |
| " <td>0.87</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>QRK</th>\n", | |
| " <td>0.32</td>\n", | |
| " <td>0.60</td>\n", | |
| " <td>0.84</td>\n", | |
| " <td>0.63</td>\n", | |
| " <td>-0.10</td>\n", | |
| " <td>0.34</td>\n", | |
| " <td>-0.10</td>\n", | |
| " <td>0.13</td>\n", | |
| " <td>0.56</td>\n", | |
| " <td>0.20</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.04</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>-0.51</td>\n", | |
| " <td>0.92</td>\n", | |
| " <td>-0.15</td>\n", | |
| " <td>0.38</td>\n", | |
| " <td>-0.53</td>\n", | |
| " <td>-0.26</td>\n", | |
| " <td>0.04</td>\n", | |
| " <td>0.26</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ICN</th>\n", | |
| " <td>0.77</td>\n", | |
| " <td>-0.68</td>\n", | |
| " <td>0.49</td>\n", | |
| " <td>-0.14</td>\n", | |
| " <td>-0.58</td>\n", | |
| " <td>-0.46</td>\n", | |
| " <td>0.56</td>\n", | |
| " <td>0.21</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>-0.48</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>-0.51</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>-0.25</td>\n", | |
| " <td>0.26</td>\n", | |
| " <td>-0.67</td>\n", | |
| " <td>0.45</td>\n", | |
| " <td>0.01</td>\n", | |
| " <td>-0.68</td>\n", | |
| " <td>-0.76</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MEC</th>\n", | |
| " <td>0.36</td>\n", | |
| " <td>0.14</td>\n", | |
| " <td>0.86</td>\n", | |
| " <td>0.71</td>\n", | |
| " <td>-0.03</td>\n", | |
| " <td>0.25</td>\n", | |
| " <td>-0.16</td>\n", | |
| " <td>0.60</td>\n", | |
| " <td>0.68</td>\n", | |
| " <td>0.26</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.05</td>\n", | |
| " <td>0.92</td>\n", | |
| " <td>-0.25</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>-0.23</td>\n", | |
| " <td>0.31</td>\n", | |
| " <td>-0.54</td>\n", | |
| " <td>-0.57</td>\n", | |
| " <td>-0.09</td>\n", | |
| " <td>-0.04</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAID</th>\n", | |
| " <td>0.70</td>\n", | |
| " <td>0.87</td>\n", | |
| " <td>0.20</td>\n", | |
| " <td>0.25</td>\n", | |
| " <td>0.23</td>\n", | |
| " <td>0.29</td>\n", | |
| " <td>0.68</td>\n", | |
| " <td>0.38</td>\n", | |
| " <td>-0.46</td>\n", | |
| " <td>-0.32</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.00</td>\n", | |
| " <td>-0.15</td>\n", | |
| " <td>0.26</td>\n", | |
| " <td>-0.23</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>0.15</td>\n", | |
| " <td>0.05</td>\n", | |
| " <td>0.13</td>\n", | |
| " <td>0.21</td>\n", | |
| " <td>0.44</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>LSK</th>\n", | |
| " <td>0.26</td>\n", | |
| " <td>0.67</td>\n", | |
| " <td>0.60</td>\n", | |
| " <td>-0.26</td>\n", | |
| " <td>-0.14</td>\n", | |
| " <td>0.31</td>\n", | |
| " <td>-0.01</td>\n", | |
| " <td>0.47</td>\n", | |
| " <td>0.72</td>\n", | |
| " <td>-0.28</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.88</td>\n", | |
| " <td>0.38</td>\n", | |
| " <td>-0.67</td>\n", | |
| " <td>0.31</td>\n", | |
| " <td>0.15</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>-0.39</td>\n", | |
| " <td>-0.76</td>\n", | |
| " <td>0.44</td>\n", | |
| " <td>0.30</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>PEERPLAYS</th>\n", | |
| " <td>0.59</td>\n", | |
| " <td>-0.40</td>\n", | |
| " <td>0.46</td>\n", | |
| " <td>-0.05</td>\n", | |
| " <td>0.13</td>\n", | |
| " <td>-0.61</td>\n", | |
| " <td>0.50</td>\n", | |
| " <td>-0.62</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>-0.34</td>\n", | |
| " <td>...</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>-0.53</td>\n", | |
| " <td>0.45</td>\n", | |
| " <td>-0.54</td>\n", | |
| " <td>0.05</td>\n", | |
| " <td>-0.39</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>0.16</td>\n", | |
| " <td>-0.13</td>\n", | |
| " <td>-0.70</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WAVES</th>\n", | |
| " <td>0.34</td>\n", | |
| " <td>-0.47</td>\n", | |
| " <td>-0.46</td>\n", | |
| " <td>-0.41</td>\n", | |
| " <td>0.64</td>\n", | |
| " <td>-0.10</td>\n", | |
| " <td>0.34</td>\n", | |
| " <td>-0.55</td>\n", | |
| " <td>-0.58</td>\n", | |
| " <td>-0.47</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.05</td>\n", | |
| " <td>-0.26</td>\n", | |
| " <td>0.01</td>\n", | |
| " <td>-0.57</td>\n", | |
| " <td>0.13</td>\n", | |
| " <td>-0.76</td>\n", | |
| " <td>0.16</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>-0.20</td>\n", | |
| " <td>-0.20</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>DGD</th>\n", | |
| " <td>0.20</td>\n", | |
| " <td>0.59</td>\n", | |
| " <td>0.26</td>\n", | |
| " <td>-0.47</td>\n", | |
| " <td>0.14</td>\n", | |
| " <td>0.15</td>\n", | |
| " <td>0.25</td>\n", | |
| " <td>0.03</td>\n", | |
| " <td>-0.03</td>\n", | |
| " <td>-0.15</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.48</td>\n", | |
| " <td>0.04</td>\n", | |
| " <td>-0.68</td>\n", | |
| " <td>-0.09</td>\n", | |
| " <td>0.21</td>\n", | |
| " <td>0.44</td>\n", | |
| " <td>-0.13</td>\n", | |
| " <td>-0.20</td>\n", | |
| " <td>1.00</td>\n", | |
| " <td>0.09</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>AMP</th>\n", | |
| " <td>0.19</td>\n", | |
| " <td>0.60</td>\n", | |
| " <td>0.28</td>\n", | |
| " <td>0.41</td>\n", | |
| " <td>-0.01</td>\n", | |
| " <td>0.74</td>\n", | |
| " <td>-0.03</td>\n", | |
| " <td>0.58</td>\n", | |
| " <td>0.19</td>\n", | |
| " <td>-0.10</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.87</td>\n", | |
| " <td>0.26</td>\n", | |
| " <td>-0.76</td>\n", | |
| " <td>-0.04</td>\n", | |
| " <td>0.44</td>\n", | |
| " <td>0.30</td>\n", | |
| " <td>-0.70</td>\n", | |
| " <td>-0.20</td>\n", | |
| " <td>0.09</td>\n", | |
| " <td>1.00</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>30 rows × 30 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " BTC ETH LTC AUR XRP STEEM XMR ETC DAO BAT ... \\\n", | |
| "BTC 1.00 0.72 0.62 0.07 -0.02 -0.00 0.75 -0.29 -0.09 0.03 ... \n", | |
| "ETH 0.72 1.00 0.73 0.78 0.42 0.17 0.49 0.20 0.44 -0.29 ... \n", | |
| "LTC 0.62 0.73 1.00 0.44 -0.19 -0.16 0.30 -0.15 0.66 0.12 ... \n", | |
| "AUR 0.07 0.78 0.44 1.00 -0.13 -0.31 0.32 -0.20 0.68 0.14 ... \n", | |
| "XRP -0.02 0.42 -0.19 -0.13 1.00 -0.25 0.01 -0.53 -0.32 -0.03 ... \n", | |
| "STEEM -0.00 0.17 -0.16 -0.31 -0.25 1.00 -0.11 0.67 -0.03 -0.10 ... \n", | |
| "XMR 0.75 0.49 0.30 0.32 0.01 -0.11 1.00 -0.29 -0.56 -0.26 ... \n", | |
| "ETC -0.29 0.20 -0.15 -0.20 -0.53 0.67 -0.29 1.00 NaN 0.50 ... \n", | |
| "DAO -0.09 0.44 0.66 0.68 -0.32 -0.03 -0.56 NaN 1.00 -0.00 ... \n", | |
| "BAT 0.03 -0.29 0.12 0.14 -0.03 -0.10 -0.26 0.50 -0.00 1.00 ... \n", | |
| "PPC 0.38 -0.24 0.90 0.52 -0.21 0.27 -0.29 0.61 0.60 0.16 ... \n", | |
| "OMNI 0.25 0.32 0.88 0.60 -0.26 0.23 -0.01 0.02 -0.59 0.16 ... \n", | |
| "DASH 0.80 0.85 0.14 -0.15 -0.02 0.28 0.77 0.35 -0.62 -0.04 ... \n", | |
| "XEM 0.76 0.73 0.55 0.58 0.06 0.52 0.55 0.57 0.14 -0.34 ... \n", | |
| "REP 0.73 0.45 0.65 0.25 0.44 -0.28 0.57 -0.48 NaN -0.18 ... \n", | |
| "NMC 0.37 -0.19 0.92 0.49 -0.17 0.12 -0.34 0.60 0.63 0.15 ... \n", | |
| "NXT 0.22 0.41 0.57 0.25 -0.46 0.80 -0.15 0.73 0.03 0.05 ... \n", | |
| "DOGE 0.36 0.75 0.52 0.55 -0.30 0.04 0.30 0.35 0.69 0.17 ... \n", | |
| "BTS -0.23 0.37 -0.19 -0.41 0.09 0.58 -0.23 0.30 -0.24 -0.09 ... \n", | |
| "SPA 0.16 0.18 0.31 0.55 -0.07 NaN -0.01 NaN NaN 0.30 ... \n", | |
| "HEX 0.07 0.95 0.05 -0.00 -0.06 0.73 0.02 NaN 0.73 -0.00 ... \n", | |
| "QRK 0.32 0.60 0.84 0.63 -0.10 0.34 -0.10 0.13 0.56 0.20 ... \n", | |
| "ICN 0.77 -0.68 0.49 -0.14 -0.58 -0.46 0.56 0.21 NaN -0.48 ... \n", | |
| "MEC 0.36 0.14 0.86 0.71 -0.03 0.25 -0.16 0.60 0.68 0.26 ... \n", | |
| "MAID 0.70 0.87 0.20 0.25 0.23 0.29 0.68 0.38 -0.46 -0.32 ... \n", | |
| "LSK 0.26 0.67 0.60 -0.26 -0.14 0.31 -0.01 0.47 0.72 -0.28 ... \n", | |
| "PEERPLAYS 0.59 -0.40 0.46 -0.05 0.13 -0.61 0.50 -0.62 NaN -0.34 ... \n", | |
| "WAVES 0.34 -0.47 -0.46 -0.41 0.64 -0.10 0.34 -0.55 -0.58 -0.47 ... \n", | |
| "DGD 0.20 0.59 0.26 -0.47 0.14 0.15 0.25 0.03 -0.03 -0.15 ... \n", | |
| "AMP 0.19 0.60 0.28 0.41 -0.01 0.74 -0.03 0.58 0.19 -0.10 ... \n", | |
| "\n", | |
| " HEX QRK ICN MEC MAID LSK PEERPLAYS WAVES DGD AMP \n", | |
| "BTC 0.07 0.32 0.77 0.36 0.70 0.26 0.59 0.34 0.20 0.19 \n", | |
| "ETH 0.95 0.60 -0.68 0.14 0.87 0.67 -0.40 -0.47 0.59 0.60 \n", | |
| "LTC 0.05 0.84 0.49 0.86 0.20 0.60 0.46 -0.46 0.26 0.28 \n", | |
| "AUR -0.00 0.63 -0.14 0.71 0.25 -0.26 -0.05 -0.41 -0.47 0.41 \n", | |
| "XRP -0.06 -0.10 -0.58 -0.03 0.23 -0.14 0.13 0.64 0.14 -0.01 \n", | |
| "STEEM 0.73 0.34 -0.46 0.25 0.29 0.31 -0.61 -0.10 0.15 0.74 \n", | |
| "XMR 0.02 -0.10 0.56 -0.16 0.68 -0.01 0.50 0.34 0.25 -0.03 \n", | |
| "ETC NaN 0.13 0.21 0.60 0.38 0.47 -0.62 -0.55 0.03 0.58 \n", | |
| "DAO 0.73 0.56 NaN 0.68 -0.46 0.72 NaN -0.58 -0.03 0.19 \n", | |
| "BAT -0.00 0.20 -0.48 0.26 -0.32 -0.28 -0.34 -0.47 -0.15 -0.10 \n", | |
| "PPC 0.04 0.85 -0.67 0.87 -0.35 0.03 -0.54 -0.58 -0.23 0.06 \n", | |
| "OMNI 0.01 0.95 -0.51 0.96 -0.21 0.14 -0.21 0.28 0.35 0.22 \n", | |
| "DASH 0.03 -0.22 -0.11 -0.22 0.81 0.27 -0.03 0.15 0.44 0.44 \n", | |
| "XEM 0.73 0.49 -0.42 -0.04 0.74 0.50 -0.44 0.00 0.26 0.70 \n", | |
| "REP NaN -0.03 -0.30 -0.49 0.37 0.27 0.03 0.62 0.18 0.11 \n", | |
| "NMC 0.07 0.86 -0.53 0.91 -0.38 -0.01 -0.59 -0.60 -0.19 0.08 \n", | |
| "NXT 0.07 0.44 -0.66 0.43 -0.20 0.43 -0.57 -0.25 0.18 0.75 \n", | |
| "DOGE -0.01 0.40 0.05 0.32 0.39 0.60 -0.13 -0.50 0.21 0.32 \n", | |
| "BTS -0.01 0.52 -0.54 0.09 -0.25 0.12 -0.07 -0.00 0.22 0.48 \n", | |
| "SPA -0.00 0.32 NaN 0.37 -0.25 NaN NaN NaN NaN -0.34 \n", | |
| "HEX 1.00 0.04 NaN 0.05 -0.00 0.88 NaN -0.05 0.48 0.87 \n", | |
| "QRK 0.04 1.00 -0.51 0.92 -0.15 0.38 -0.53 -0.26 0.04 0.26 \n", | |
| "ICN NaN -0.51 1.00 -0.25 0.26 -0.67 0.45 0.01 -0.68 -0.76 \n", | |
| "MEC 0.05 0.92 -0.25 1.00 -0.23 0.31 -0.54 -0.57 -0.09 -0.04 \n", | |
| "MAID -0.00 -0.15 0.26 -0.23 1.00 0.15 0.05 0.13 0.21 0.44 \n", | |
| "LSK 0.88 0.38 -0.67 0.31 0.15 1.00 -0.39 -0.76 0.44 0.30 \n", | |
| "PEERPLAYS NaN -0.53 0.45 -0.54 0.05 -0.39 1.00 0.16 -0.13 -0.70 \n", | |
| "WAVES -0.05 -0.26 0.01 -0.57 0.13 -0.76 0.16 1.00 -0.20 -0.20 \n", | |
| "DGD 0.48 0.04 -0.68 -0.09 0.21 0.44 -0.13 -0.20 1.00 0.09 \n", | |
| "AMP 0.87 0.26 -0.76 -0.04 0.44 0.30 -0.70 -0.20 0.09 1.00 \n", | |
| "\n", | |
| "[30 rows x 30 columns]" | |
| ] | |
| }, | |
| "execution_count": 16, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "corr.round(2)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 54, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-22T11:37:51.237148", | |
| "start_time": "2017-02-22T11:37:51.227860" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>BTC</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>BANX</th>\n", | |
| " <td>-0.671035</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ETC</th>\n", | |
| " <td>-0.288243</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>BTS</th>\n", | |
| " <td>-0.232896</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>XLM</th>\n", | |
| " <td>-0.202949</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>START</th>\n", | |
| " <td>-0.114251</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>DAO</th>\n", | |
| " <td>-0.087820</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>XRP</th>\n", | |
| " <td>-0.018227</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>STEEM</th>\n", | |
| " <td>-0.003493</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>BAT</th>\n", | |
| " <td>0.034765</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>HEX</th>\n", | |
| " <td>0.065630</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>AUR</th>\n", | |
| " <td>0.066569</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>XC</th>\n", | |
| " <td>0.109494</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>BLK</th>\n", | |
| " <td>0.120555</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>SPA</th>\n", | |
| " <td>0.157771</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>AMP</th>\n", | |
| " <td>0.194098</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>DGD</th>\n", | |
| " <td>0.197130</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>NXT</th>\n", | |
| " <td>0.218348</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>OMNI</th>\n", | |
| " <td>0.253890</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>LSK</th>\n", | |
| " <td>0.260266</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ZET</th>\n", | |
| " <td>0.281759</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>XCP</th>\n", | |
| " <td>0.289139</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>NVC</th>\n", | |
| " <td>0.301370</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>QRK</th>\n", | |
| " <td>0.324686</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>TIPS</th>\n", | |
| " <td>0.336345</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WAVES</th>\n", | |
| " <td>0.336466</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MEC</th>\n", | |
| " <td>0.356337</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>DOGE</th>\n", | |
| " <td>0.358561</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WDC</th>\n", | |
| " <td>0.362755</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ARDR</th>\n", | |
| " <td>0.368748</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>XPM</th>\n", | |
| " <td>0.373250</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>NMC</th>\n", | |
| " <td>0.374206</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>PPC</th>\n", | |
| " <td>0.375525</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>FTC</th>\n", | |
| " <td>0.398782</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>PEERPLAYS</th>\n", | |
| " <td>0.592316</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>BCY</th>\n", | |
| " <td>0.619273</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>LTC</th>\n", | |
| " <td>0.619935</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>NLG</th>\n", | |
| " <td>0.623962</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAID</th>\n", | |
| " <td>0.699038</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>EMC</th>\n", | |
| " <td>0.711211</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ETH</th>\n", | |
| " <td>0.715130</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>FCT</th>\n", | |
| " <td>0.719792</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>SC</th>\n", | |
| " <td>0.723479</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>REP</th>\n", | |
| " <td>0.734547</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>XMR</th>\n", | |
| " <td>0.753477</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>XEM</th>\n", | |
| " <td>0.761022</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ICN</th>\n", | |
| " <td>0.766627</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>DASH</th>\n", | |
| " <td>0.795348</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>GAME</th>\n", | |
| " <td>0.880668</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ZEC</th>\n", | |
| " <td>0.936945</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>BTC</th>\n", | |
| " <td>1.000000</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " BTC\n", | |
| "BANX -0.671035\n", | |
| "ETC -0.288243\n", | |
| "BTS -0.232896\n", | |
| "XLM -0.202949\n", | |
| "START -0.114251\n", | |
| "DAO -0.087820\n", | |
| "XRP -0.018227\n", | |
| "STEEM -0.003493\n", | |
| "BAT 0.034765\n", | |
| "HEX 0.065630\n", | |
| "AUR 0.066569\n", | |
| "XC 0.109494\n", | |
| "BLK 0.120555\n", | |
| "SPA 0.157771\n", | |
| "AMP 0.194098\n", | |
| "DGD 0.197130\n", | |
| "NXT 0.218348\n", | |
| "OMNI 0.253890\n", | |
| "LSK 0.260266\n", | |
| "ZET 0.281759\n", | |
| "XCP 0.289139\n", | |
| "NVC 0.301370\n", | |
| "QRK 0.324686\n", | |
| "TIPS 0.336345\n", | |
| "WAVES 0.336466\n", | |
| "MEC 0.356337\n", | |
| "DOGE 0.358561\n", | |
| "WDC 0.362755\n", | |
| "ARDR 0.368748\n", | |
| "XPM 0.373250\n", | |
| "NMC 0.374206\n", | |
| "PPC 0.375525\n", | |
| "FTC 0.398782\n", | |
| "PEERPLAYS 0.592316\n", | |
| "BCY 0.619273\n", | |
| "LTC 0.619935\n", | |
| "NLG 0.623962\n", | |
| "MAID 0.699038\n", | |
| "EMC 0.711211\n", | |
| "ETH 0.715130\n", | |
| "FCT 0.719792\n", | |
| "SC 0.723479\n", | |
| "REP 0.734547\n", | |
| "XMR 0.753477\n", | |
| "XEM 0.761022\n", | |
| "ICN 0.766627\n", | |
| "DASH 0.795348\n", | |
| "GAME 0.880668\n", | |
| "ZEC 0.936945\n", | |
| "BTC 1.000000" | |
| ] | |
| }, | |
| "execution_count": 54, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "corr.BTC.to_frame().sort_values('BTC')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 347, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-02-23T13:45:36.979234", | |
| "start_time": "2017-02-23T13:45:36.276890" | |
| }, | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfcAAAGPCAYAAABBBJmLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSyAWi6XuLykpwdmzZ9G5c+day+bl5eHixYs |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment