gistfile1.txt

{
 "metadata": {
  "name": "",
  "signature": "sha256:7ed78b48ae8fe0489e49f2021cb7818e8d41756f6b77391aaa80c84fe58ed41e"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import urllib2, json, time\n",
      "from matplotlib import pyplot as plt\n",
      "from datetime import datetime\n",
      "import matplotlib\n",
      "import pylab\n",
      "import numpy as np\n",
      "import pandas as pd\n",
      "%matplotlib inline\n",
      "matplotlib.rcParams['figure.figsize'] = 18, 5\n",
      "\n",
      "def plot_orderbook(market=\"btccny\",limit=20):\n",
      "    url = 'https://peatio.com:443/api/v2/order_book.json?market=%s&asks_limit=%d&bids_limit=%d' % (market,limit,limit)\n",
      "    orderbook_json = urllib2.urlopen(url)\n",
      "    orderbook_data = json.load(orderbook_json)\n",
      "    \n",
      "    bids_data = [(float(bid['price']),float(bid['remaining_volume'])) for bid in orderbook_data['bids']]\n",
      "    bids_price, bids_vol = zip(*bids_data)\n",
      "    plt.bar(bids_price,bids_vol,color='g',edgecolor = \"none\")\n",
      "    \n",
      "    asks_data = [(float(ask['price']),float(ask['remaining_volume'])) for ask in orderbook_data['asks']]\n",
      "    asks_price, asks_vol = zip(*asks_data)\n",
      "    #print asks_price,asks_vol    \n",
      "    plt.bar(asks_price,asks_vol,color='r',edgecolor = \"none\")\n",
      "    #plt.xticks(np.arange(2000, 3800, 100))\n",
      "    #plt.yticks([0,20])\n",
      "    \n",
      "    plt.xlabel('Price')\n",
      "    plt.title('Peatio Order book')\n",
      "    \n",
      "    timebid = orderbook_data['bids'][0]['created_at']\n",
      "    timenow = time.strftime(\"%Y-%m-%d %H:%M:%S\")\n",
      "    \n",
      "    textstr = '%s\\n' % timenow\n",
      "    plt.annotate(textstr, xy=(0.01, 0.9), xycoords='axes fraction',color='#0a84b3')\n",
      "    pylab.ylim([0.0,15.0])\n",
      "    pylab.xlim([2000,3200])\n",
      "    \n",
      "\n",
      "plot_orderbook(\"btccny\",100)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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       "text": [
        "<matplotlib.figure.Figure at 0xb55b4a8>"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}