{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-12-25T20:01:48.855796Z",
     "start_time": "2019-12-25T20:01:42.113058Z"
    }
   },
   "outputs": [],
   "source": [
    "from datetime import datetime, timedelta\n",
    "from matplotlib import pyplot as plt\n",
    "from matplotlib import dates as mpl_dates\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-12-25T20:01:48.861619Z",
     "start_time": "2019-12-25T20:01:48.857639Z"
    }
   },
   "outputs": [],
   "source": [
    "plt.style.use('seaborn')\n",
    "plt.rc('figure', figsize=(12, 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-12-25T20:01:49.412529Z",
     "start_time": "2019-12-25T20:01:48.863638Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\batman\\Anaconda3\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\converter.py:103: FutureWarning: Using an implicitly registered datetime converter for a matplotlib plotting method. The converter was registered by pandas on import. Future versions of pandas will require you to explicitly register matplotlib converters.\n",
      "\n",
      "To register the converters:\n",
      "\t>>> from pandas.plotting import register_matplotlib_converters\n",
      "\t>>> register_matplotlib_converters()\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dates = [\n",
    "    datetime(2019, 5, 24),\n",
    "    datetime(2019, 5, 25),\n",
    "    datetime(2019, 5, 26),\n",
    "    datetime(2019, 5, 27),\n",
    "    datetime(2019, 5, 28),\n",
    "    datetime(2019, 5, 29),\n",
    "    datetime(2019, 5, 30)\n",
    "]\n",
    "\n",
    "# print(dates)\n",
    "y = [0, 1, 3, 4, 6, 5, 7]\n",
    "\n",
    "plt.plot_date(dates, y, linestyle='solid')\n",
    "\n",
    "# to get current figure\n",
    "plt.gcf().autofmt_xdate()\n",
    "\n",
    "# change date format\n",
    "dates = [x.strftime(\"%b, %d %Y\") for x in dates]\n",
    "\n",
    "# %b - month\n",
    "# %d - day\n",
    "# %Y - year\n",
    "\n",
    "plt.gca().set_xticklabels(dates)\n",
    "# plt.set_xticklabels(dates)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-12-25T20:01:49.417517Z",
     "start_time": "2019-12-25T20:01:49.414523Z"
    }
   },
   "outputs": [],
   "source": [
    "# example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-12-25T20:01:49.576400Z",
     "start_time": "2019-12-25T20:01:49.418512Z"
    }
   },
   "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>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-05-18</td>\n",
       "      <td>7266.080078</td>\n",
       "      <td>8281.660156</td>\n",
       "      <td>7257.259766</td>\n",
       "      <td>8193.139648</td>\n",
       "      <td>8193.139648</td>\n",
       "      <td>723011166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-05-19</td>\n",
       "      <td>8193.139648</td>\n",
       "      <td>8193.139648</td>\n",
       "      <td>7591.850098</td>\n",
       "      <td>7998.290039</td>\n",
       "      <td>7998.290039</td>\n",
       "      <td>637617163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-05-20</td>\n",
       "      <td>7998.290039</td>\n",
       "      <td>8102.319824</td>\n",
       "      <td>7807.770020</td>\n",
       "      <td>7947.930176</td>\n",
       "      <td>7947.930176</td>\n",
       "      <td>357803946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-05-21</td>\n",
       "      <td>7947.930176</td>\n",
       "      <td>8033.759766</td>\n",
       "      <td>7533.660156</td>\n",
       "      <td>7626.890137</td>\n",
       "      <td>7626.890137</td>\n",
       "      <td>424501866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-05-22</td>\n",
       "      <td>7626.890137</td>\n",
       "      <td>7971.259766</td>\n",
       "      <td>7478.740234</td>\n",
       "      <td>7876.500000</td>\n",
       "      <td>7876.500000</td>\n",
       "      <td>386766321</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date         Open         High          Low        Close  \\\n",
       "0  2019-05-18  7266.080078  8281.660156  7257.259766  8193.139648   \n",
       "1  2019-05-19  8193.139648  8193.139648  7591.850098  7998.290039   \n",
       "2  2019-05-20  7998.290039  8102.319824  7807.770020  7947.930176   \n",
       "3  2019-05-21  7947.930176  8033.759766  7533.660156  7626.890137   \n",
       "4  2019-05-22  7626.890137  7971.259766  7478.740234  7876.500000   \n",
       "\n",
       "     Adj Close     Volume  \n",
       "0  8193.139648  723011166  \n",
       "1  7998.290039  637617163  \n",
       "2  7947.930176  357803946  \n",
       "3  7626.890137  424501866  \n",
       "4  7876.500000  386766321  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(r'examples/data_8.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-12-25T20:01:49.728216Z",
     "start_time": "2019-12-25T20:01:49.577359Z"
    }
   },
   "outputs": [],
   "source": [
    "data['Date'] = pd.to_datetime(data['Date'])\n",
    "data.sort_values('Date', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-12-25T20:01:49.888156Z",
     "start_time": "2019-12-25T20:01:49.730291Z"
    }
   },
   "outputs": [],
   "source": [
    "price_date = data['Date']\n",
    "price_close = data['Close']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-12-25T20:01:50.227731Z",
     "start_time": "2019-12-25T20:01:49.890149Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot_date(price_date, price_close, linestyle='solid')\n",
    "\n",
    "plt.gcf().autofmt_xdate()\n",
    "\n",
    "plt.title('Bitcoin Prices')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Closing Price')\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
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    "version": 3
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   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
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  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
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   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
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   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
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     "delete_cmd_postfix": ") ",
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   "types_to_exclude": [
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 "nbformat": 4,
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}