[Python 3]米ドル/円の折れ線グラフ

daily.json

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line_chart.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df = pd.read_json('daily.json') # df[0].dtype: dtype('int64'), df[1].dtype: dtype('float64')\n",
    "df = pd.read_json('daily.json', dtype={ 0: 'int64', 1: 'float64', 2: 'float64', 3: 'float64', 4: 'float64' })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "#df['DATE'] = pd.Series([datetime.fromtimestamp(time.mktime(time.localtime(x / 1000))) for x in df[0]])\n",
    "#df['USDJPY'] = pd.Series([float(x) for x in df[4]])\n",
    "\n",
    "df['DATE'] = pd.to_datetime(df[0], unit='ms')\n",
    "df['USDJPY'] = df[4].astype('float64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f05eda67828>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x='DATE', y='USDJPY')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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