tipsbet.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tipsbet Analysis\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initialisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tips import Tips\n",
    "import datetime as dt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use('dark_background')\n",
    "plt.style.use('seaborn')\n",
    "graph_size=(14,10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Data\n",
    "The Tips module loads data all the data between the given start and end dates (both default to today if not given)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "start = dt.datetime.now() - dt.timedelta(days=1000)\n",
    "t = Tips(start)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Functions\n",
    "Functions to be used to analyse/plot data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_cumsum(df, col=None):\n",
    "    pass\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
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       "        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>Time</th>\n",
       "      <th>Country</th>\n",
       "      <th>Sport</th>\n",
       "      <th>Competitions</th>\n",
       "      <th>Teams</th>\n",
       "      <th>Tip</th>\n",
       "      <th>Odds</th>\n",
       "      <th>Results</th>\n",
       "      <th>Status</th>\n",
       "      <th>Return</th>\n",
       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12779</th>\n",
       "      <td>2020-08-11 20:00:00</td>\n",
       "      <td>Europe</td>\n",
       "      <td>Football</td>\n",
       "      <td>Europa League</td>\n",
       "      <td>Shakhtar – Basel</td>\n",
       "      <td>1x</td>\n",
       "      <td>1.22</td>\n",
       "      <td>4-1</td>\n",
       "      <td>W</td>\n",
       "      <td>1.22</td>\n",
       "      <td>0.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12780</th>\n",
       "      <td>2020-08-11 20:00:00</td>\n",
       "      <td>Europe</td>\n",
       "      <td>Football</td>\n",
       "      <td>Europa League</td>\n",
       "      <td>Wolves – Sevilla</td>\n",
       "      <td>under 3.5</td>\n",
       "      <td>1.20</td>\n",
       "      <td>0-1</td>\n",
       "      <td>W</td>\n",
       "      <td>1.20</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12781</th>\n",
       "      <td>2020-08-11 18:00:00</td>\n",
       "      <td>Scotland</td>\n",
       "      <td>Football</td>\n",
       "      <td>Premiership</td>\n",
       "      <td>Dundee Utd – Hibernian</td>\n",
       "      <td>x2</td>\n",
       "      <td>1.35</td>\n",
       "      <td>0-1</td>\n",
       "      <td>W</td>\n",
       "      <td>1.35</td>\n",
       "      <td>0.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12782</th>\n",
       "      <td>2020-08-11 23:15:00</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>Football</td>\n",
       "      <td>Serie B</td>\n",
       "      <td>Botafogo SP – Confianca</td>\n",
       "      <td>1x</td>\n",
       "      <td>1.22</td>\n",
       "      <td>2-0</td>\n",
       "      <td>W</td>\n",
       "      <td>1.22</td>\n",
       "      <td>0.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12783</th>\n",
       "      <td>2020-08-11 13:00:00</td>\n",
       "      <td>China</td>\n",
       "      <td>Football</td>\n",
       "      <td>Super League</td>\n",
       "      <td>C. Lifan – Qingdao H.</td>\n",
       "      <td>1x</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0-0</td>\n",
       "      <td>W</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12784</th>\n",
       "      <td>2020-08-11 20:00:00</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Football</td>\n",
       "      <td>Serie B</td>\n",
       "      <td>Spezia – Chievo</td>\n",
       "      <td>under 3.5</td>\n",
       "      <td>1.20</td>\n",
       "      <td>3-1</td>\n",
       "      <td>L</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12785</th>\n",
       "      <td>2020-08-11 18:00:00</td>\n",
       "      <td>Norway</td>\n",
       "      <td>Football</td>\n",
       "      <td>OBOS ligaen</td>\n",
       "      <td>KFUM Oslo – Lillestrom</td>\n",
       "      <td>over 1.5</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1-2</td>\n",
       "      <td>W</td>\n",
       "      <td>1.20</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12786</th>\n",
       "      <td>2020-08-11 16:00:00</td>\n",
       "      <td>Russia</td>\n",
       "      <td>Football</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>R. Volgograd – Zenit</td>\n",
       "      <td>2</td>\n",
       "      <td>1.35</td>\n",
       "      <td>0-2</td>\n",
       "      <td>W</td>\n",
       "      <td>1.35</td>\n",
       "      <td>0.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12787</th>\n",
       "      <td>2020-08-11 18:00:00</td>\n",
       "      <td>Slovakia</td>\n",
       "      <td>Football</td>\n",
       "      <td>Fortuna liga</td>\n",
       "      <td>Zilina – Nitra</td>\n",
       "      <td>1</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1-2</td>\n",
       "      <td>L</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12788</th>\n",
       "      <td>2020-08-11 18:00:00</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Football</td>\n",
       "      <td>Superettan</td>\n",
       "      <td>Halmstad – Osters</td>\n",
       "      <td>1</td>\n",
       "      <td>1.63</td>\n",
       "      <td>2-0</td>\n",
       "      <td>W</td>\n",
       "      <td>1.63</td>\n",
       "      <td>0.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12789</th>\n",
       "      <td>2020-08-11 10:00:00</td>\n",
       "      <td>Czech R.</td>\n",
       "      <td>Tennis</td>\n",
       "      <td>WTA – Prague</td>\n",
       "      <td>Sevastova A. – Begu I.</td>\n",
       "      <td>1</td>\n",
       "      <td>1.44</td>\n",
       "      <td>0-2</td>\n",
       "      <td>L</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12790</th>\n",
       "      <td>2020-08-11 22:00:00</td>\n",
       "      <td>USA</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>NBA</td>\n",
       "      <td>Memphis G. – Boston C.</td>\n",
       "      <td>2</td>\n",
       "      <td>1.60</td>\n",
       "      <td>107-122</td>\n",
       "      <td>W</td>\n",
       "      <td>1.60</td>\n",
       "      <td>0.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Time   Country       Sport    Competitions  \\\n",
       "12779 2020-08-11 20:00:00    Europe    Football   Europa League   \n",
       "12780 2020-08-11 20:00:00    Europe    Football   Europa League   \n",
       "12781 2020-08-11 18:00:00  Scotland    Football     Premiership   \n",
       "12782 2020-08-11 23:15:00    Brazil    Football         Serie B   \n",
       "12783 2020-08-11 13:00:00     China    Football    Super League   \n",
       "12784 2020-08-11 20:00:00     Italy    Football         Serie B   \n",
       "12785 2020-08-11 18:00:00    Norway    Football     OBOS ligaen   \n",
       "12786 2020-08-11 16:00:00    Russia    Football  Premier League   \n",
       "12787 2020-08-11 18:00:00  Slovakia    Football    Fortuna liga   \n",
       "12788 2020-08-11 18:00:00    Sweden    Football      Superettan   \n",
       "12789 2020-08-11 10:00:00  Czech R.      Tennis    WTA – Prague   \n",
       "12790 2020-08-11 22:00:00       USA  Basketball             NBA   \n",
       "\n",
       "                         Teams        Tip  Odds  Results Status  Return  \\\n",
       "12779         Shakhtar – Basel         1x  1.22      4-1      W    1.22   \n",
       "12780         Wolves – Sevilla  under 3.5  1.20      0-1      W    1.20   \n",
       "12781   Dundee Utd – Hibernian         x2  1.35      0-1      W    1.35   \n",
       "12782  Botafogo SP – Confianca         1x  1.22      2-0      W    1.22   \n",
       "12783    C. Lifan – Qingdao H.         1x  1.25      0-0      W    1.25   \n",
       "12784          Spezia – Chievo  under 3.5  1.20      3-1      L    0.00   \n",
       "12785   KFUM Oslo – Lillestrom   over 1.5  1.20      1-2      W    1.20   \n",
       "12786     R. Volgograd – Zenit          2  1.35      0-2      W    1.35   \n",
       "12787           Zilina – Nitra          1  1.29      1-2      L    0.00   \n",
       "12788        Halmstad – Osters          1  1.63      2-0      W    1.63   \n",
       "12789   Sevastova A. – Begu I.          1  1.44      0-2      L    0.00   \n",
       "12790   Memphis G. – Boston C.          2  1.60  107-122      W    1.60   \n",
       "\n",
       "       Profit  \n",
       "12779    0.22  \n",
       "12780    0.20  \n",
       "12781    0.35  \n",
       "12782    0.22  \n",
       "12783    0.25  \n",
       "12784   -1.00  \n",
       "12785    0.20  \n",
       "12786    0.35  \n",
       "12787   -1.00  \n",
       "12788    0.63  \n",
       "12789   -1.00  \n",
       "12790    0.60  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filter_fn = t.df.Time > pd.to_datetime(dt.date.today() - dt.timedelta(days=1))\n",
    "filter_fn &= t.df.Time < pd.to_datetime(dt.date.today())\n",
    "# filter_fn &= t.df.Status == 'L'\n",
    "t.df[filter_fn]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lee's Questions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "st = t.df.groupby('Status')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Status\n",
       "?    1.336731\n",
       "L    1.366640\n",
       "W    1.317537\n",
       "Name: Odds, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.df.groupby('Status').Odds.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sum</th>\n",
       "      <th>mean</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Status</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>?</th>\n",
       "      <td>-52.00</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>L</th>\n",
       "      <td>-3414.00</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>3414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>W</th>\n",
       "      <td>2965.48</td>\n",
       "      <td>0.317537</td>\n",
       "      <td>9339</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            sum      mean  count\n",
       "Status                          \n",
       "?        -52.00 -1.000000     52\n",
       "L      -3414.00 -1.000000   3414\n",
       "W       2965.48  0.317537   9339"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "st.Profit.agg(['sum', 'mean', 'count'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "t.df.Tip = t.df.Tip.str.strip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "t.df['Positive'] = np.where(t.df.Profit >= 0, 'Y', 'N')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Tip        Positive\n",
       "1          N          -1430.00\n",
       "           Y           1254.10\n",
       "1 or 2     N            -21.00\n",
       "           Y             16.36\n",
       "1 sau 2    Y              0.44\n",
       "1x         N           -431.00\n",
       "           Y            359.90\n",
       "2          N           -615.00\n",
       "           Y            580.59\n",
       "over 1.5   N           -316.00\n",
       "           Y            234.91\n",
       "over 2.5   N            -98.00\n",
       "           Y             72.46\n",
       "over 3.5   N             -3.00\n",
       "           Y              4.83\n",
       "over 4.5   N             -1.00\n",
       "peste 1.5  Y              0.24\n",
       "under 2.5  Y              1.16\n",
       "under 3.5  N           -301.00\n",
       "           Y            257.59\n",
       "under 4.5  N            -24.00\n",
       "           Y             19.17\n",
       "x2         N           -214.00\n",
       "           Y            157.11\n",
       "Name: Profit, dtype: float64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.df.groupby(['Tip', 'Positive']).Profit.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "44.462025214903285"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.df[t.df.Time >= pd.to_datetime(dt.date.today())].Odds.agg('prod')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2017-11-17 - 2020-08-12\n",
      "W    9339\n",
      "L    3414\n",
      "?      52\n",
      "\n",
      "W    72.93\n",
      "L    26.66\n",
      "?     0.41\n"
     ]
    }
   ],
   "source": [
    "print(t.df.Time.dt.date.min(), '-', t.df.Time.dt.date.max())\n",
    "print(t.df.Status.value_counts().to_string() + '\\n')\n",
    "print((t.df.Status.value_counts(normalize=True).round(4) * 100).to_string())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sport       Status\n",
      "Basketball  W          525\n",
      "            L          222\n",
      "            ?            3\n",
      "Football    W         7971\n",
      "            L         2842\n",
      "            ?           46\n",
      "Tennis      W          843\n",
      "            L          350\n",
      "            ?            3\n",
      "Sport       Status\n",
      "Basketball  W         70.00\n",
      "            L         29.60\n",
      "            ?          0.40\n",
      "Football    W         73.40\n",
      "            L         26.17\n",
      "            ?          0.42\n",
      "Tennis      W         70.48\n",
      "            L         29.26\n",
      "            ?          0.25\n"
     ]
    }
   ],
   "source": [
    "print(t.df.groupby('Sport').Status.value_counts().to_string())\n",
    "print((t.df.groupby('Sport').Status.value_counts(normalize=True).round(4) * 100).to_string())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# t._update_dataset(t.full_dataset)\n",
    "# t.store_df()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "fd = t.full_dataset\n",
    "stake = 5\n",
    "filt = lambda x : (fd.Time > dt.datetime(2020, 1, 1)) & (fd.Odds > x) & (fd.Sport == 'Football')\n",
    "profits = [fd[filt(x/100)].Profit.sum() * stake for x in range(100, 300, 5)]\n",
    "avg_profit = fd.Profit.mean()\n",
    "\n",
    "# ax = plt.figure(figsize=graph_size)\n",
    "# plt.bar([a/100 for a in range(100,300,5)], profits)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1a9a9a5550>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sports = t.df.Sport.unique()\n",
    "df_sports = pd.DataFrame(index=t.df.resample('1D', on='Time').agg({'Profit': 'sum'}).index)\n",
    "for sport in sports:\n",
    "    filt = (t.df.Sport == sport)\n",
    "    df_sports[sport] = t.df[filt].resample('1D', on='Time').agg({'Profit': 'sum'}).sort_index()\n",
    "    df_sports[sport] = df_sports[sport].cumsum().fillna(0)\n",
    "\n",
    "df_sports.plot(figsize=graph_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x7f1a9a97fa90>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filtered = fd[fd.Time < dt.datetime(2020,7,23)].resample('1W', on='Time').agg({'Profit': 'sum', 'Odds': 'mean', 'Sport': 'size'})\n",
    "ax = filtered.plot(y='Profit')\n",
    "ax.axhline(y=0, color='k', linewidth=1)\n",
    "ax.axvline(x=fd.Time.min(), color='k')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.1\n",
      "-5005.0\n"
     ]
    }
   ],
   "source": [
    "sample = fd.copy()\n",
    "sample['Select'] = (np.random.random(size=sample.Sport.size) < 0.2) * sample.Return\n",
    "# sample.Select = sample.Select.replace(0, 1)\n",
    "print(sample.Select.max())\n",
    "print((sample.resample('1D', on='Time').agg({'Select': 'prod', 'Odds': 'size'}).Select.replace(0, -1) * stake).sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "days = 300\n",
    "filt_fn = t.df.Time > pd.to_datetime(dt.date.today() - dt.timedelta(days=days))\n",
    "subset = t.df[filt_fn].groupby(['Country']).agg({'Profit': 'sum', 'Return': 'size'})\n",
    "subset = subset[subset.Profit > 0]\n",
    "subset.Return = subset.Profit / subset.Return\n",
    "subset_plot = subset.plot.bar(figsize=graph_size, title=str('Profitable Countries over Last {}' + \n",
    "                                                            ' Days (Total: {:.2f})'\n",
    "                                                           ).format(days, subset.Profit.sum()))\n",
    "\n",
    "font = {'color': 'black'}\n",
    "\n",
    "for p in subset_plot.patches:\n",
    "    width, height = p.get_width(), p.get_height()\n",
    "    x, y = p.get_xy()\n",
    "    subset_plot.text(x + width / 2.0, y + height * 1.02,\n",
    "            '{:.2f}'.format(height), horizontalalignment='center',\n",
    "            verticalalignment='center', fontdict=font)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Country\n",
      "Africa       1.331333\n",
      "Angola       1.225000\n",
      "Argentina    1.351290\n",
      "Armenia      1.250000\n",
      "Asia         1.337879\n",
      "               ...   \n",
      "Ukraine      1.270588\n",
      "United K.    1.350000\n",
      "Vietnam      1.300000\n",
      "Wales        1.356857\n",
      "World        1.373219\n",
      "Name: Odds, Length: 104, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "t.df.groupby('Country').Odds.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "W    78.07\n",
       "L    21.56\n",
       "?     0.36\n",
       "Name: Status, dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.df[t.df.Odds <= 1.3].Status.value_counts(normalize=True).round(4) * 100\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00    3466\n",
       "1.20    1398\n",
       "1.22    1394\n",
       "1.25    1052\n",
       "1.44     473\n",
       "        ... \n",
       "1.76       1\n",
       "1.78       1\n",
       "1.56       1\n",
       "1.82       1\n",
       "2.45       1\n",
       "Name: Return, Length: 73, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.df['Return'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t.plot_status(by='Sport', relative=False)\n",
    "t.plot_status(by='Sport', relative=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1a981725f8>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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4cdHc3BzV1dXx0ksvxf333x9Dhw6N6dOnx5lnnhl9fX1x4403xhdffBG1tbVx5513xl577bUdz+jv4d5774199tknJk2aFDNnzjTrEjz11FPxwgsvRGdnZ8yYMSMaGhrMugSdnZ3R1NQUGzZsiN7e3rjuuuuiUqnEDTfcEH19fXHMMcf0fx/DY489Fs8880wMHTo0Zs+eHccdd1x0dnbGzJkzY82aNTFq1KiYP39+7LLLLtv5rP6+/Gk/AEjiN1IBQBLRBYAkogsASUQXAJKILgAkEV0ASCK6AJBEdAEgyf8A9h0n1uU1G1UAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t.df.Status.value_counts().plot(kind='barh')"
   ]
  }
 ],
 "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",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}