Days Between Trump's Golf Outings

golf_dates.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Library imports, etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.dates as mdates\n",
    "from datetime import datetime\n",
    "from os.path import expanduser, isdir, isfile, dirname, join as joinpath\n",
    "def homedir(): return expanduser(\"~\")\n",
    "def mkfig(w=12, h=6, nrow=1, ncol=1, dpi=100, style='seaborn', **kwargs):\n",
    "    import matplotlib.pyplot as plt\n",
    "    plt.style.use(style)\n",
    "    return plt.subplots(nrow, ncol, figsize=(w, h), dpi=dpi, facecolor='lightgray', edgecolor='k', **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Download a current `.csv` file from https://trumpgolfcount.com/downloadoutings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_path = joinpath(homedir(), \"Documents\", \"trumpgolfcountoutings_112519.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read `.csv` in to a Pandas Dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(df_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Convert the 'Golf Date' to a Python Datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Golf Date'] = pd.to_datetime(df['Golf Date'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot a simple dot for each outing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = mkfig(8,4)\n",
    "ax.plot_date([mdates.date2num(itm) for itm in df['Golf Date']], np.ones(df.shape[0]))\n",
    "ax.vlines(mdates.date2num(datetime.now()), 0.9, 1.1)\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sort Golf Dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Min diff is 0 days 00:00:00\n",
      "Max diff is 69 days 00:00:00\n"
     ]
    }
   ],
   "source": [
    "gd = list(df['Golf Date'])\n",
    "gd.sort()\n",
    "gd = pd.Series(gd)\n",
    "print('Min diff is {}'.format(gd.diff().min()))\n",
    "print('Max diff is {}'.format(gd.diff().max()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot Days Between Golf Outings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = mkfig(8,4)\n",
    "dtdiff = gd.diff()\n",
    "xdata = [mdates.date2num(itm) for itm in gd[1:]]\n",
    "ydata = [itm.total_seconds()/3600/24 for itm in gd.diff()[1:]]\n",
    "days_since_last = (datetime.now() - gd.iloc[-1]).total_seconds()/3600/24\n",
    "ax.plot_date(xdata, ydata, ydate=False)\n",
    "ax.plot_date( [mdates.date2num(datetime.now())], [days_since_last], markersize=20, \n",
    "             label='Current Days Since Last Golf Outing')\n",
    "ax.vlines(mdates.date2num(datetime.now()), 0, 70)\n",
    "ax.set_ylabel('Days Since Last Outing')\n",
    "ax.set_title('Days Between Trump\\'s Golf Outings')\n",
    "ax.legend()\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timedelta('1 days 00:00:00')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gd.diff().median()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timedelta('4 days 10:58:39.282511')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gd.diff().mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "224"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(gd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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