pandas_line_plot_adv_pct_chg.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# การสร้างกราฟเส้นหลายเส้นด้วย pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import FuncFormatter # for custom number format on x and y axis\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pandas version: 0.24.2\n"
     ]
    }
   ],
   "source": [
    "print(f'pandas version: {pd.__version__}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_rows', 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Oil</th>\n",
       "      <th>Gold</th>\n",
       "      <th>SET</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2003-01-31</th>\n",
       "      <td>30.71</td>\n",
       "      <td>356.859</td>\n",
       "      <td>370.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-02-28</th>\n",
       "      <td>32.63</td>\n",
       "      <td>358.970</td>\n",
       "      <td>361.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-03-31</th>\n",
       "      <td>27.22</td>\n",
       "      <td>340.550</td>\n",
       "      <td>364.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-04-30</th>\n",
       "      <td>23.72</td>\n",
       "      <td>328.180</td>\n",
       "      <td>374.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-05-31</th>\n",
       "      <td>26.71</td>\n",
       "      <td>355.683</td>\n",
       "      <td>403.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-31</th>\n",
       "      <td>64.47</td>\n",
       "      <td>1264.450</td>\n",
       "      <td>1753.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-31</th>\n",
       "      <td>66.28</td>\n",
       "      <td>1331.300</td>\n",
       "      <td>1826.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-28</th>\n",
       "      <td>63.97</td>\n",
       "      <td>1330.730</td>\n",
       "      <td>1830.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31</th>\n",
       "      <td>65.87</td>\n",
       "      <td>1324.660</td>\n",
       "      <td>1776.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-04-30</th>\n",
       "      <td>71.01</td>\n",
       "      <td>1334.760</td>\n",
       "      <td>1780.11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>184 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Oil      Gold      SET\n",
       "Date                                \n",
       "2003-01-31  30.71   356.859   370.01\n",
       "2003-02-28  32.63   358.970   361.32\n",
       "2003-03-31  27.22   340.550   364.55\n",
       "2003-04-30  23.72   328.180   374.63\n",
       "2003-05-31  26.71   355.683   403.82\n",
       "...           ...       ...      ...\n",
       "2017-12-31  64.47  1264.450  1753.71\n",
       "2018-01-31  66.28  1331.300  1826.86\n",
       "2018-02-28  63.97  1330.730  1830.13\n",
       "2018-03-31  65.87  1324.660  1776.26\n",
       "2018-04-30  71.01  1334.760  1780.11\n",
       "\n",
       "[184 rows x 3 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv('https://github.com/prasertcbs/basic-dataset/raw/master/oil_gold_setindex.csv',\n",
    "                index_col='Date', parse_dates=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 261,
       "width": 381
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[['Oil', 'Gold', 'SET']].plot(kind='line', color=['.6', 'gold', 'c']);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## % change from previous period"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['oil_pct_chg']=df['Oil'].pct_change()\n",
    "df['gold_pct_chg']=df['Gold'].pct_change()\n",
    "df['set_pct_chg']=df['SET'].pct_change()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols=['oil_pct_chg', 'gold_pct_chg', 'set_pct_chg']\n",
    "color=['.6', 'gold', 'c']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df[cols].plot(kind='line', color=color);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "ax=df[cols].plot(kind='line', color=color)\n",
    "ax.axhline(0, color=\"green\", linestyle=\"--\", linewidth=.5);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### add horizontal line & set figsize "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "ax=df[cols].plot(kind='line', color=color, figsize=(12,5))\n",
    "ax.axhline(0, color=\"green\", linestyle=\"--\", linewidth=.5);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### filter data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "ax=df.loc[::12, cols].plot(kind='line', color=color)\n",
    "ax.yaxis.set_major_formatter(FuncFormatter(lambda v, p: \"{:.02}%\".format(v * 100)));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "ax=df.loc['2017-01-31':, cols].plot(kind='line', color=color);\n",
    "ax.yaxis.set_major_formatter(FuncFormatter(lambda v, p: \"{:,.0f}%\".format(v * 100)));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### subplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "df[cols].plot(kind='line', subplots=True, color=color);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df[['oil_pct_chg', 'gold_pct_chg', 'set_pct_chg']].plot(kind='line', \n",
    "                                                        subplots=True, \n",
    "                                                        figsize=(6, 8),\n",
    "                                                        color=color);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df[cols].plot(kind='line',subplots=True, \n",
    "              sharey=True, \n",
    "              figsize=(12, 4), \n",
    "              layout=(1, 3), \n",
    "              color=color);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## คำนวณ % การเปลี่ยนแปลงเทียบกับวันที่กำหนดเป็นฐาน"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "base_date = '2003-01-31'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Oil'].at[base_date]\n",
    "# df['Gold'].at[base_date]\n",
    "# df['SET'].at[base_date]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# df['Oil'].at[base_date]\n",
    "df['Gold'].at[base_date]\n",
    "# df['SET'].at[base_date]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['oil_pct_diff'] = df['Oil'] / df['Oil'].at[base_date] - 1\n",
    "df['gold_pct_diff'] = df['Gold'] / df['Gold'].at[base_date] - 1\n",
    "df['set_pct_diff'] = df['SET'] / df['SET'].at[base_date] - 1\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "ax = df.loc[base_date:, ['oil_pct_diff', 'gold_pct_diff', 'set_pct_diff']].plot(kind='line', \n",
    "                                         figsize=(10,5),\n",
    "                                         color=['.4', 'gold', 'c'])\n",
    "ax.yaxis.set_major_formatter(FuncFormatter(lambda v, p: \"{:,.0f}%\".format(v * 100)));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Cols_2=['oil_pct_diff', 'gold_pct_diff', 'set_pct_diff']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ax = df.loc[base_date:, Cols_2].plot(kind='line', \n",
    "                                         figsize=(10,5),\n",
    "                                         color=['.4', 'gold', 'c'])\n",
    "ax.yaxis.set_major_formatter(FuncFormatter(lambda v, p: \"{:,.0f}%\".format(v * 100)));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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