{ "cells": [ { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "from pandas.io.json import json_normalize #package for flattening json in pandas df\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "df = pd.read_json(r\"C:\\Users\\Koushik\\Downloads\\open-data-master\\open-data-master\\data\\events\\19714.json\")\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "\n", "shot = df[ (df.type == {'id': 16, 'name': 'Shot'})]" ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "33 {'id': 971, 'name': 'Chelsea LFC'}\n", "186 {'id': 971, 'name': 'Chelsea LFC'}\n", "192 {'id': 971, 'name': 'Chelsea LFC'}\n", "196 {'id': 971, 'name': 'Chelsea LFC'}\n", "204 {'id': 971, 'name': 'Chelsea LFC'}\n", "583 {'id': 971, 'name': 'Chelsea LFC'}\n", "695 {'id': 971, 'name': 'Chelsea LFC'}\n", "749 {'id': 971, 'name': 'Chelsea LFC'}\n", "765 {'id': 971, 'name': 'Chelsea LFC'}\n", "832 {'id': 746, 'name': 'Manchester City WFC'}\n", "843 {'id': 746, 'name': 'Manchester City WFC'}\n", "1060 {'id': 971, 'name': 'Chelsea LFC'}\n", "1176 {'id': 971, 'name': 'Chelsea LFC'}\n", "1179 {'id': 971, 'name': 'Chelsea LFC'}\n", "1291 {'id': 971, 'name': 'Chelsea LFC'}\n", "1400 {'id': 971, 'name': 'Chelsea LFC'}\n", "1486 {'id': 971, 'name': 'Chelsea LFC'}\n", "1622 {'id': 971, 'name': 'Chelsea LFC'}\n", "1651 {'id': 746, 'name': 'Manchester City WFC'}\n", "1666 {'id': 971, 'name': 'Chelsea LFC'}\n", "1828 {'id': 971, 'name': 'Chelsea LFC'}\n", "2136 {'id': 971, 'name': 'Chelsea LFC'}\n", "2240 {'id': 971, 'name': 'Chelsea LFC'}\n", "2297 {'id': 746, 'name': 'Manchester City WFC'}\n", "2325 {'id': 971, 'name': 'Chelsea LFC'}\n", "2453 {'id': 746, 'name': 'Manchester City WFC'}\n", "2532 {'id': 746, 'name': 'Manchester City WFC'}\n", "2692 {'id': 971, 'name': 'Chelsea LFC'}\n", "2695 {'id': 971, 'name': 'Chelsea LFC'}\n", "2741 {'id': 746, 'name': 'Manchester City WFC'}\n", "2813 {'id': 971, 'name': 'Chelsea LFC'}\n", "2820 {'id': 971, 'name': 'Chelsea LFC'}\n", "2867 {'id': 746, 'name': 'Manchester City WFC'}\n", "2910 {'id': 746, 'name': 'Manchester City WFC'}\n", "Name: possession_team, dtype: object" ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "eve_type = df[\"type\"] \n", "eve_loc = df[\"location\"]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "shot = df[(df.possession_team == {'id': 746, 'name': 'Manchester City WFC'}) & (df.type == {'id': 16, 'name': 'Shot'})]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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2453NaNNaNNaNNaNNaNNaN1.640NaNNaNNaN...{'id': 746, 'name': 'Manchester City WFC'}[94d2eb1b-8fc9-49c7-b616-aca417904cd6]46{'statsbomb_xg': 0.0063227050000000005, 'end_l...NaNNaN{'id': 746, 'name': 'Manchester City WFC'}2018-11-30 00:29:46.198{'id': 16, 'name': 'Shot'}NaN
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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "from scipy.misc import imread\n", "import matplotlib.cbook as cbook\n", "\n", "img = plt.imread(r'C:\\Users\\Koushik\\Documents\\football_field.png')\n", "\"\"\" fig,ax = plt.plot(x,y,'ro')\n", "plt.axis([0,120,0,80])\n", "plt.imshow(img, zorder=0, extent=[0.5, 8.0, 1.0, 7.0])\n", "ax.imshow(img) \"\"\"\n", "\n", "fig, ax = plt.subplots()\n", "\n", "ax.imshow(img, extent=[0, 120, 0, 80])\n", "ax.plot(x, y,'ro')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "'str' object is not callable", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mstri\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mshot\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlocation\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mstri\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mstri\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstri\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mTypeError\u001b[0m: 'str' object is not callable" ] } ], "source": [ "stri = \"\" \n", "for x in shot.location:\n", " stri = stri + str(x)\n", "print(stri)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "shot.location.to_csv(r\"C:\\Users\\Koushik\\Downloads\\hope.csv\")\n" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "loc= pd.read_csv(r\"C:\\Users\\Koushik\\Downloads\\hope.csv\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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\u001b[0mexpand\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m 4374\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_can_hold_identifiers_and_holds_name\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4375\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 4376\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m 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"execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "cannot compare a dtyped [object] array with a scalar of type [bool]", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\ops.py\u001b[0m in \u001b[0;36mna_op\u001b[1;34m(x, y)\u001b[0m\n\u001b[0;32m 1303\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1304\u001b[1;33m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1305\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\ops.py\u001b[0m in \u001b[0;36mrand_\u001b[1;34m(left, right)\u001b[0m\n\u001b[0;32m 148\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mrand_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mleft\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mright\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 149\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0moperator\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mand_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mright\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mleft\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 150\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for &: 'dict' and 'dict'", "\nDuring handling of the above exception, another exception occurred:\n", "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\ops.py\u001b[0m in \u001b[0;36mna_op\u001b[1;34m(x, y)\u001b[0m\n\u001b[0;32m 1320\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1321\u001b[1;33m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlibops\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mscalar_binop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mop\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1322\u001b[0m \u001b[1;32mexcept\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32mpandas\\_libs\\ops.pyx\u001b[0m in \u001b[0;36mpandas._libs.ops.scalar_binop\u001b[1;34m()\u001b[0m\n", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\ops.py\u001b[0m in \u001b[0;36mrand_\u001b[1;34m(left, right)\u001b[0m\n\u001b[0;32m 148\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mrand_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mleft\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mright\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 149\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0moperator\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mand_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mright\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mleft\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 150\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for &: 'bool' and 'dict'", "\nDuring handling of the above exception, another exception occurred:\n", "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdf\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtype\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;34m'id'\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;36m16\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'name'\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;34m'Shot'\u001b[0m\u001b[1;33m}\u001b[0m \u001b[1;33m&\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpossession_team\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;34m'id'\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;36m746\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'name'\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;34m'Manchester City WFC'\u001b[0m\u001b[1;33m}\u001b[0m \u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\ops.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m 1358\u001b[0m is_integer_dtype(np.asarray(other)) else fill_bool)\n\u001b[0;32m 1359\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1360\u001b[1;33m \u001b[0mres_values\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mna_op\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mother\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1361\u001b[0m \u001b[0munfilled\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_constructor\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mres_values\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1362\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mfiller\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0munfilled\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__finalize__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\ops.py\u001b[0m in \u001b[0;36mna_op\u001b[1;34m(x, y)\u001b[0m\n\u001b[0;32m 1324\u001b[0m \u001b[1;34m\"with a scalar of type [{typ}]\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1325\u001b[0m .format(dtype=x.dtype,\n\u001b[1;32m-> 1326\u001b[1;33m typ=type(y).__name__))\n\u001b[0m\u001b[0;32m 1327\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1328\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mTypeError\u001b[0m: cannot compare a dtyped [object] array with a scalar of type [bool]" ] } ], "source": [ "df[df.type == {'id': 16, 'name': 'Shot'} & df.possession_team == {'id': 746, 'name': 'Manchester City WFC'} ]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 119, "metadata": {}, "outputs": [], "source": [ "ab = df[df.type == {'id': 16, 'name': 'Shot'} ]" ] }, { "cell_type": "code", "execution_count": 135, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns; sns.set()\n", "import matplotlib.pyplot as plt\n", "sns.scatterplot(data = comb)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plt" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "sns.lmplot(x='Attack', y='Defense', data=comb,\n", " fit_reg=False, # No regression line\n", " hue='Stage') # Color by evolution stage" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 151, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 115.0, 25.0\n", "1 109.0, 51.0\n", "2 99.0, 52.0\n", "3 107.0, 40.0\n", "4 108.0, 32.0\n", "5 108.0, 32.0\n", "6 87.0, 41.0\n", "7 108.0, 36.0\n", "8 105.0, 43.0\n", "9 117.0, 53.0\n", "10 102.0, 50.0\n", "11 112.0, 39.0\n", "12 115.0, 54.0\n", "13 102.0, 34.0\n", "14 108.0, 47.0\n", "15 94.0, 54.0\n", "16 108.0, 27.0\n", "17 114.0, 34.0\n", "18 115.0, 41.0\n", "19 109.0, 39.0\n", "20 117.0, 31.0\n", "21 91.0, 52.0\n", "22 118.0, 39.0\n", "23 108.0, 35.0\n", "24 111.0, 32.0\n", "25 88.0, 34.0\n", "26 113.0, 42.0\n", "27 107.0, 47.0\n", "28 110.0, 36.0\n", "29 98.0, 46.0\n", "30 113.0, 42.0\n", "31 109.0, 52.0\n", "32 102.0, 35.0\n", "33 109.0, 37.0\n", "Name: Cordinates, dtype: object" ] }, "execution_count": 151, "metadata": {}, "output_type": "execute_result" } ], "source": [ "loc.Cordinates" ] }, { "cell_type": "code", "execution_count": 153, "metadata": {}, "outputs": [ { "ename": "AttributeError", "evalue": "'Series' object has no attribute 'applymap'", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mloc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mCordinates\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapplymap\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m 4374\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_can_hold_identifiers_and_holds_name\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4375\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 4376\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4377\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4378\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mAttributeError\u001b[0m: 'Series' object has no attribute 'applymap'" ] } ], "source": [ "x = loc.Cordinates.applymap(str)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'loc' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0ml\u001b[0m \u001b[1;33m=\u001b[0m\u001b[0mloc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mCordinates\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m','\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mexpand\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[0ml\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mNameError\u001b[0m: name 'loc' is not defined" ] } ], "source": [ "l =loc.Cordinates.str.split(',', expand=True)\n", "l" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 158, "metadata": {}, "outputs": [], "source": [ "x_axis = np.asarray(l[0])\n", "y_axis = np.asarray(l[1])" ] }, { "cell_type": "code", "execution_count": 159, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['115.0', '109.0', '99.0', '107.0', '108.0', '108.0', '87.0',\n", " '108.0', '105.0', '117.0', '102.0', '112.0', '115.0', '102.0',\n", " '108.0', '94.0', '108.0', '114.0', '115.0', '109.0', '117.0',\n", " '91.0', '118.0', '108.0', '111.0', '88.0', '113.0', '107.0',\n", " '110.0', '98.0', '113.0', '109.0', '102.0', '109.0'], dtype=object)" ] }, "execution_count": 159, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x_axis" ] }, { "cell_type": "code", "execution_count": 160, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([' 25.0', ' 51.0', ' 52.0', ' 40.0', ' 32.0', ' 32.0', ' 41.0',\n", " ' 36.0', ' 43.0', ' 53.0', ' 50.0', ' 39.0', ' 54.0', ' 34.0',\n", " ' 47.0', ' 54.0', ' 27.0', ' 34.0', ' 41.0', ' 39.0', ' 31.0',\n", " ' 52.0', ' 39.0', ' 35.0', ' 32.0', ' 34.0', ' 42.0', ' 47.0',\n", " ' 36.0', ' 46.0', ' 42.0', ' 52.0', ' 35.0', ' 37.0'], dtype=object)" ] }, "execution_count": 160, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y_axis" ] }, { "cell_type": "code", "execution_count": 165, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "plt.plot(x_axis,y_axis,'ro')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 123, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([list([115.0, 25.0]), list([109.0, 51.0]), list([99.0, 52.0]),\n", " list([107.0, 40.0]), list([108.0, 32.0]), list([108.0, 32.0]),\n", " list([87.0, 41.0]), list([108.0, 36.0]), list([105.0, 43.0]),\n", " list([117.0, 53.0]), list([102.0, 50.0]), list([112.0, 39.0]),\n", " list([115.0, 54.0]), list([102.0, 34.0]), list([108.0, 47.0]),\n", " list([94.0, 54.0]), list([108.0, 27.0]), list([114.0, 34.0]),\n", " list([115.0, 41.0]), list([109.0, 39.0]), list([117.0, 31.0]),\n", " list([91.0, 52.0]), list([118.0, 39.0]), list([108.0, 35.0]),\n", " list([111.0, 32.0]), list([88.0, 34.0]), list([113.0, 42.0]),\n", " list([107.0, 47.0]), list([110.0, 36.0]), list([98.0, 46.0]),\n", " list([113.0, 42.0]), list([109.0, 52.0]), list([102.0, 35.0]),\n", " list([109.0, 37.0])], dtype=object)" ] }, "execution_count": 123, "metadata": {}, "output_type": "execute_result" } ], "source": [ "num" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 108, "metadata": {}, "outputs": [ { "ename": "ModuleNotFoundError", "evalue": "No module named 'keras'", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mkeras\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'keras'" ] } ], "source": [ "import keras" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [], "source": [ "conc = list(zip(eve_type,eve_loc))" ] }, { "cell_type": "code", "execution_count": 105, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[({'id': 35, 'name': 'Starting XI'}, nan),\n", " ({'id': 35, 'name': 'Starting XI'}, nan),\n", " ({'id': 18, 'name': 'Half Start'}, nan),\n", " ({'id': 18, 'name': 'Half Start'}, nan),\n", " ({'id': 30, 'name': 'Pass'}, [61.0, 40.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [63.0, 37.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [47.0, 41.0]),\n", " ({'id': 30, 'name': 'Pass'}, [69.0, 33.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [84.0, 5.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [35.0, 69.0]),\n", " ({'id': 38, 'name': 'Miscontrol'}, [108.0, 10.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [11.0, 72.0]),\n", " ({'id': 30, 'name': 'Pass'}, [6.0, 43.0]),\n", " ({'id': 30, 'name': 'Pass'}, [62.0, 12.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [59.0, 71.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [78.0, 5.0]),\n", " ({'id': 30, 'name': 'Pass'}, [41.0, 71.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [75.0, 8.0]),\n", " ({'id': 6, 'name': 'Block'}, [78.0, 8.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [72.0, 11.0]),\n", " ({'id': 30, 'name': 'Pass'}, [43.0, 66.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [58.0, 76.0]),\n", " ({'id': 30, 'name': 'Pass'}, [58.0, 76.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [48.0, 8.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [75.0, 71.0]),\n", " ({'id': 38, 'name': 'Miscontrol'}, [79.0, 70.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [37.0, 10.0]),\n", " ({'id': 30, 'name': 'Pass'}, [44.0, 17.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [95.0, 23.0]),\n", " ({'id': 39, 'name': 'Dribbled Past'}, [23.0, 59.0]),\n", " ({'id': 14, 'name': 'Dribble'}, [98.0, 22.0]),\n", " ({'id': 39, 'name': 'Dribbled Past'}, [3.0, 59.0]),\n", " ({'id': 14, 'name': 'Dribble'}, [118.0, 22.0]),\n", " ({'id': 16, 'name': 'Shot'}, [115.0, 25.0]),\n", " ({'id': 6, 'name': 'Block'}, [4.0, 47.0]),\n", " ({'id': 23, 'name': 'Goal Keeper'}, [2.0, 54.0]),\n", " ({'id': 30, 'name': 'Pass'}, [119.0, 2.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [115.0, 33.0]),\n", " ({'id': 6, 'name': 'Block'}, [115.0, 36.0]),\n", " ({'id': 9, 'name': 'Clearance'}, [5.0, 48.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [49.0, 25.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [67.0, 58.0]),\n", " ({'id': 30, 'name': 'Pass'}, [54.0, 24.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [47.0, 10.0]),\n", " ({'id': 6, 'name': 'Block'}, [68.0, 55.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [72.0, 50.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [32.0, 47.0]),\n", " ({'id': 30, 'name': 'Pass'}, [92.0, 26.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [96.0, 5.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [22.0, 73.0]),\n", " ({'id': 30, 'name': 'Pass'}, [95.0, 5.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [87.0, 16.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [30.0, 57.0]),\n", " ({'id': 30, 'name': 'Pass'}, [87.0, 17.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [15.0, 36.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [105.0, 40.0]),\n", " ({'id': 30, 'name': 'Pass'}, [100.0, 40.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [90.0, 54.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [30.0, 30.0]),\n", " ({'id': 30, 'name': 'Pass'}, [90.0, 54.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [101.0, 59.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [23.0, 22.0]),\n", " ({'id': 14, 'name': 'Dribble'}, [115.0, 59.0]),\n", " ({'id': 4, 'name': 'Duel'}, [6.0, 22.0]),\n", " ({'id': 30, 'name': 'Pass'}, [120.0, 80.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [118.0, 41.0]),\n", " ({'id': 23, 'name': 'Goal Keeper'}, [2.0, 39.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [10.0, 38.0]),\n", " ({'id': 30, 'name': 'Pass'}, [9.0, 41.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [81.0, 38.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [38.0, 47.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [82.0, 32.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [87.0, 41.0]),\n", " ({'id': 30, 'name': 'Pass'}, [31.0, 40.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [29.0, 55.0]),\n", " ({'id': 30, 'name': 'Pass'}, [27.0, 58.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [79.0, 67.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [84.0, 69.0]),\n", " ({'id': 30, 'name': 'Pass'}, [35.0, 15.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [45.0, 10.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [74.0, 74.0]),\n", " ({'id': 14, 'name': 'Dribble'}, [41.0, 7.0]),\n", " ({'id': 4, 'name': 'Duel'}, [80.0, 74.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [80.0, 78.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [43.0, 7.0]),\n", " ({'id': 3, 'name': 'Dispossessed'}, [50.0, 3.0]),\n", " ({'id': 4, 'name': 'Duel'}, [71.0, 78.0]),\n", " ({'id': 30, 'name': 'Pass'}, [78.0, 76.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [43.0, 9.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [84.0, 77.0]),\n", " ({'id': 30, 'name': 'Pass'}, [84.0, 77.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [81.0, 69.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [39.0, 21.0]),\n", " ({'id': 30, 'name': 'Pass'}, [83.0, 69.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [93.0, 68.0]),\n", " ({'id': 30, 'name': 'Pass'}, [90.0, 68.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [92.0, 55.0]),\n", " ({'id': 30, 'name': 'Pass'}, [31.0, 28.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [30.0, 24.0]),\n", " ({'id': 30, 'name': 'Pass'}, [29.0, 24.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [25.0, 28.0]),\n", " ({'id': 30, 'name': 'Pass'}, [25.0, 27.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [26.0, 14.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [93.0, 67.0]),\n", " ({'id': 30, 'name': 'Pass'}, [32.0, 15.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [75.0, 18.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [24.0, 58.0]),\n", " ({'id': 30, 'name': 'Pass'}, [24.0, 53.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [34.0, 27.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [75.0, 47.0]),\n", " ({'id': 30, 'name': 'Pass'}, [43.0, 27.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [40.0, 61.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [69.0, 21.0]),\n", " ({'id': 3, 'name': 'Dispossessed'}, [69.0, 22.0]),\n", " ({'id': 4, 'name': 'Duel'}, [52.0, 59.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [56.0, 60.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [54.0, 7.0]),\n", " ({'id': 30, 'name': 'Pass'}, [65.0, 74.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [43.0, 76.0]),\n", " ({'id': 30, 'name': 'Pass'}, [37.0, 76.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [36.0, 64.0]),\n", " ({'id': 30, 'name': 'Pass'}, [37.0, 53.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [32.0, 27.0]),\n", " ({'id': 30, 'name': 'Pass'}, [31.0, 26.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [37.0, 8.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [83.0, 73.0]),\n", " ({'id': 30, 'name': 'Pass'}, [38.0, 7.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [58.0, 69.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [61.0, 14.0]),\n", " ({'id': 3, 'name': 'Dispossessed'}, [53.0, 6.0]),\n", " ({'id': 4, 'name': 'Duel'}, [68.0, 75.0]),\n", " ({'id': 30, 'name': 'Pass'}, [73.0, 70.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [88.0, 64.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [32.0, 23.0]),\n", " ({'id': 3, 'name': 'Dispossessed'}, [87.0, 60.0]),\n", " ({'id': 4, 'name': 'Duel'}, [34.0, 21.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [35.0, 29.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [79.0, 59.0]),\n", " ({'id': 30, 'name': 'Pass'}, [40.0, 33.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [64.0, 54.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [57.0, 29.0]),\n", " ({'id': 38, 'name': 'Miscontrol'}, [57.0, 28.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [66.0, 62.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [66.0, 62.0]),\n", " ({'id': 30, 'name': 'Pass'}, [53.0, 21.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [45.0, 3.0]),\n", " ({'id': 30, 'name': 'Pass'}, [45.0, 3.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [38.0, 9.0]),\n", " ({'id': 30, 'name': 'Pass'}, [33.0, 13.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [25.0, 25.0]),\n", " ({'id': 30, 'name': 'Pass'}, [21.0, 27.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [44.0, 75.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [76.0, 4.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [47.0, 78.0]),\n", " ({'id': 38, 'name': 'Miscontrol'}, [76.0, 2.0]),\n", " ({'id': 30, 'name': 'Pass'}, [51.0, 80.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [42.0, 74.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [68.0, 4.0]),\n", " ({'id': 30, 'name': 'Pass'}, [47.0, 73.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [57.0, 7.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [63.0, 70.0]),\n", " ({'id': 30, 'name': 'Pass'}, [63.0, 70.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [67.0, 78.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [54.0, 3.0]),\n", " ({'id': 38, 'name': 'Miscontrol'}, [65.0, 79.0]),\n", " ({'id': 30, 'name': 'Pass'}, [66.0, 1.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [29.0, 75.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [91.0, 5.0]),\n", " ({'id': 30, 'name': 'Pass'}, [87.0, 3.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [82.0, 4.0]),\n", " ({'id': 30, 'name': 'Pass'}, [81.0, 2.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [88.0, 65.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [14.0, 24.0]),\n", " ({'id': 30, 'name': 'Pass'}, [116.0, 57.0]),\n", " ({'id': 6, 'name': 'Block'}, [5.0, 27.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [6.0, 15.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [116.0, 67.0]),\n", " ({'id': 30, 'name': 'Pass'}, [110.0, 68.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [90.0, 67.0]),\n", " ({'id': 30, 'name': 'Pass'}, [92.0, 67.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [104.0, 48.0]),\n", " ({'id': 30, 'name': 'Pass'}, [102.0, 45.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [17.0, 28.0]),\n", " ({'id': 39, 'name': 'Dribbled Past'}, [10.0, 27.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [113.0, 55.0]),\n", " ({'id': 14, 'name': 'Dribble'}, [111.0, 54.0]),\n", " ({'id': 16, 'name': 'Shot'}, [109.0, 51.0]),\n", " ({'id': 6, 'name': 'Block'}, [9.0, 37.0]),\n", " ({'id': 23, 'name': 'Goal Keeper'}, [2.0, 39.0]),\n", " ({'id': 30, 'name': 'Pass'}, [120.0, 80.0]),\n", " ({'id': 9, 'name': 'Clearance'}, [13.0, 32.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [99.0, 54.0]),\n", " ({'id': 16, 'name': 'Shot'}, [99.0, 52.0]),\n", " ({'id': 6, 'name': 'Block'}, [13.0, 30.0]),\n", " ({'id': 23, 'name': 'Goal Keeper'}, [2.0, 40.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [111.0, 34.0]),\n", " ({'id': 16, 'name': 'Shot'}, [107.0, 40.0]),\n", " ({'id': 6, 'name': 'Block'}, [9.0, 44.0]),\n", " ({'id': 23, 'name': 'Goal Keeper'}, [2.0, 41.0]),\n", " ({'id': 30, 'name': 'Pass'}, [104.0, 36.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [15.0, 42.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [8.0, 49.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [109.0, 29.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [8.0, 45.0]),\n", " ({'id': 16, 'name': 'Shot'}, [108.0, 32.0]),\n", " ({'id': 23, 'name': 'Goal Keeper'}, [2.0, 43.0]),\n", " ({'id': 5, 'name': 'Camera On'}, nan),\n", " ({'id': 30, 'name': 'Pass'}, [44.0, 77.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [112.0, 65.0]),\n", " ({'id': 30, 'name': 'Pass'}, [6.0, 36.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [11.0, 69.0]),\n", " ({'id': 30, 'name': 'Pass'}, [37.0, 67.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [99.0, 54.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [11.0, 33.0]),\n", " ({'id': 30, 'name': 'Pass'}, [10.0, 36.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [27.0, 59.0]),\n", " ({'id': 30, 'name': 'Pass'}, [27.0, 59.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [78.0, 30.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [39.0, 52.0]),\n", " ({'id': 30, 'name': 'Pass'}, [39.0, 52.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [43.0, 78.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [72.0, 3.0]),\n", " ({'id': 30, 'name': 'Pass'}, [48.0, 78.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [35.0, 74.0]),\n", " ({'id': 30, 'name': 'Pass'}, [43.0, 74.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [72.0, 73.0]),\n", " ({'id': 38, 'name': 'Miscontrol'}, [74.0, 74.0]),\n", " ({'id': 30, 'name': 'Pass'}, [49.0, 3.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [42.0, 3.0]),\n", " ({'id': 30, 'name': 'Pass'}, [40.0, 3.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [75.0, 71.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [64.0, 22.0]),\n", " ({'id': 30, 'name': 'Pass'}, [61.0, 60.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [38.0, 27.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [77.0, 59.0]),\n", " ({'id': 30, 'name': 'Pass'}, [77.0, 59.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [71.0, 47.0]),\n", " ({'id': 30, 'name': 'Pass'}, [75.0, 41.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [81.0, 7.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [36.0, 77.0]),\n", " ({'id': 30, 'name': 'Pass'}, [91.0, 13.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [97.0, 6.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [25.0, 74.0]),\n", " ({'id': 30, 'name': 'Pass'}, [95.0, 15.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [86.0, 14.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [35.0, 59.0]),\n", " ({'id': 30, 'name': 'Pass'}, [85.0, 15.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [21.0, 37.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [99.0, 41.0]),\n", " ({'id': 30, 'name': 'Pass'}, [99.0, 41.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [90.0, 53.0]),\n", " ({'id': 30, 'name': 'Pass'}, [90.0, 53.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [99.0, 63.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [25.0, 12.0]),\n", " ({'id': 30, 'name': 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3.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [41.0, 66.0]),\n", " ({'id': 30, 'name': 'Pass'}, [80.0, 16.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [93.0, 4.0]),\n", " ({'id': 30, 'name': 'Pass'}, [102.0, 9.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [11.0, 63.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [114.0, 17.0]),\n", " ({'id': 30, 'name': 'Pass'}, [117.0, 24.0]),\n", " ({'id': 9, 'name': 'Clearance'}, [5.0, 45.0]),\n", " ({'id': 30, 'name': 'Pass'}, [104.0, 51.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [17.0, 33.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [95.0, 48.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [29.0, 33.0]),\n", " ({'id': 30, 'name': 'Pass'}, [86.0, 47.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [87.0, 25.0]),\n", " ({'id': 30, 'name': 'Pass'}, [92.0, 25.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [99.0, 9.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [15.0, 70.0]),\n", " ({'id': 39, 'name': 'Dribbled Past'}, [15.0, 69.0]),\n", " 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({'id': 42, 'name': 'Ball Receipt*'}, [79.0, 24.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [40.0, 58.0]),\n", " ({'id': 30, 'name': 'Pass'}, [80.0, 21.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [72.0, 26.0]),\n", " ({'id': 30, 'name': 'Pass'}, [44.0, 58.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [39.0, 51.0]),\n", " ({'id': 30, 'name': 'Pass'}, [39.0, 50.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [12.0, 44.0]),\n", " ({'id': 30, 'name': 'Pass'}, [16.0, 51.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [43.0, 10.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [85.0, 64.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [31.0, 21.0]),\n", " ({'id': 30, 'name': 'Pass'}, [88.0, 53.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [82.0, 59.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [34.0, 24.0]),\n", " ({'id': 30, 'name': 'Pass'}, [82.0, 60.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [77.0, 73.0]),\n", " ({'id': 30, 'name': 'Pass'}, [79.0, 67.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [30.0, 28.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [90.0, 51.0]),\n", " ({'id': 30, 'name': 'Pass'}, [85.0, 55.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [99.0, 77.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [23.0, 5.0]),\n", " ({'id': 30, 'name': 'Pass'}, [98.0, 62.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [5.0, 29.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [116.0, 53.0]),\n", " ({'id': 16, 'name': 'Shot'}, [117.0, 53.0]),\n", " ({'id': 23, 'name': 'Goal Keeper'}, [2.0, 35.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [5.0, 25.0]),\n", " ({'id': 30, 'name': 'Pass'}, [115.0, 55.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [112.0, 62.0]),\n", " ({'id': 30, 'name': 'Pass'}, [112.0, 62.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [115.0, 27.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [4.0, 51.0]),\n", " ({'id': 30, 'name': 'Pass'}, [119.0, 26.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [101.0, 50.0]),\n", " ({'id': 9, 'name': 'Clearance'}, [4.0, 48.0]),\n", " ({'id': 16, 'name': 'Shot'}, [102.0, 50.0]),\n", " ({'id': 6, 'name': 'Block'}, [10.0, 38.0]),\n", " ({'id': 23, 'name': 'Goal Keeper'}, [7.0, 37.0]),\n", " ({'id': 30, 'name': 'Pass'}, [120.0, 1.0]),\n", " ({'id': 9, 'name': 'Clearance'}, [12.0, 44.0]),\n", " ({'id': 9, 'name': 'Clearance'}, [13.0, 44.0]),\n", " ({'id': 4, 'name': 'Duel'}, [26.0, 40.0]),\n", " ({'id': 30, 'name': 'Pass'}, [95.0, 41.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [26.0, 36.0]),\n", " ({'id': 30, 'name': 'Pass'}, [35.0, 31.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [57.0, 65.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [49.0, 28.0]),\n", " ({'id': 30, 'name': 'Pass'}, [95.0, 56.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [109.0, 58.0]),\n", " ({'id': 30, 'name': 'Pass'}, [113.0, 66.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [92.0, 73.0]),\n", " ({'id': 30, 'name': 'Pass'}, [87.0, 73.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [70.0, 68.0]),\n", " ({'id': 30, 'name': 'Pass'}, [76.0, 63.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [62.0, 40.0]),\n", " ({'id': 30, 'name': 'Pass'}, [62.0, 37.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [69.0, 20.0]),\n", " ({'id': 30, 'name': 'Pass'}, [70.0, 21.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [91.0, 7.0]),\n", " ({'id': 30, 'name': 'Pass'}, [86.0, 2.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [75.0, 9.0]),\n", " ({'id': 30, 'name': 'Pass'}, [70.0, 11.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [54.0, 28.0]),\n", " ({'id': 30, 'name': 'Pass'}, [54.0, 31.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [56.0, 56.0]),\n", " ({'id': 30, 'name': 'Pass'}, [55.0, 62.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [84.0, 77.0]),\n", " ({'id': 30, 'name': 'Pass'}, [83.0, 77.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [75.0, 71.0]),\n", " ({'id': 30, 'name': 'Pass'}, [75.0, 70.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [58.0, 73.0]),\n", " ({'id': 30, 'name': 'Pass'}, [59.0, 74.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [74.0, 78.0]),\n", " ({'id': 30, 'name': 'Pass'}, [71.0, 76.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [80.0, 78.0]),\n", " ({'id': 30, 'name': 'Pass'}, [80.0, 77.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [89.0, 74.0]),\n", " ({'id': 38, 'name': 'Miscontrol'}, [91.0, 73.0]),\n", " ({'id': 2, 'name': 'Ball Recovery'}, [34.0, 7.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [88.0, 73.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [88.0, 70.0]),\n", " ({'id': 30, 'name': 'Pass'}, [32.0, 3.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [85.0, 4.0]),\n", " ({'id': 5, 'name': 'Camera On'}, nan),\n", " ({'id': 30, 'name': 'Pass'}, [29.0, 77.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [30.0, 41.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [87.0, 43.0]),\n", " ({'id': 30, 'name': 'Pass'}, [31.0, 42.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [44.0, 41.0]),\n", " ({'id': 30, 'name': 'Pass'}, [45.0, 38.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [37.0, 22.0]),\n", " ({'id': 30, 'name': 'Pass'}, [47.0, 20.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [89.0, 23.0]),\n", " ({'id': 38, 'name': 'Miscontrol'}, [90.0, 24.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [97.0, 22.0]),\n", " ({'id': 30, 'name': 'Pass'}, [24.0, 58.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [8.0, 43.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [110.0, 26.0]),\n", " ({'id': 30, 'name': 'Pass'}, [8.0, 43.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [22.0, 63.0]),\n", " ({'id': 30, 'name': 'Pass'}, [22.0, 63.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [12.0, 66.0]),\n", " ({'id': 30, 'name': 'Pass'}, [28.0, 68.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [30.0, 65.0]),\n", " ({'id': 30, 'name': 'Pass'}, [30.0, 65.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [25.0, 69.0]),\n", " ({'id': 30, 'name': 'Pass'}, [25.0, 69.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [32.0, 66.0]),\n", " ({'id': 30, 'name': 'Pass'}, [42.0, 77.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [83.0, 60.0]),\n", " ({'id': 30, 'name': 'Pass'}, [40.0, 22.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [43.0, 19.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [73.0, 66.0]),\n", " ({'id': 30, 'name': 'Pass'}, [42.0, 19.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [52.0, 5.0]),\n", " ({'id': 30, 'name': 'Pass'}, [49.0, 4.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [41.0, 11.0]),\n", " ({'id': 30, 'name': 'Pass'}, [50.0, 3.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [45.0, 2.0]),\n", " ({'id': 30, 'name': 'Pass'}, [42.0, 1.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [30.0, 24.0]),\n", " ({'id': 36, 'name': 'Tactical Shift'}, nan),\n", " ({'id': 30, 'name': 'Pass'}, [27.0, 27.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [30.0, 56.0]),\n", " ({'id': 30, 'name': 'Pass'}, [31.0, 57.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [13.0, 50.0]),\n", " ({'id': 30, 'name': 'Pass'}, [15.0, 49.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [22.0, 19.0]),\n", " ({'id': 30, 'name': 'Pass'}, [39.0, 18.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [42.0, 28.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [81.0, 52.0]),\n", " ({'id': 30, 'name': 'Pass'}, [39.0, 31.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [14.0, 44.0]),\n", " ({'id': 30, 'name': 'Pass'}, [15.0, 44.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [23.0, 64.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [93.0, 15.0]),\n", " ({'id': 30, 'name': 'Pass'}, [21.0, 66.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [35.0, 79.0]),\n", " ({'id': 30, 'name': 'Pass'}, [35.0, 77.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [34.0, 64.0]),\n", " ({'id': 30, 'name': 'Pass'}, [33.0, 66.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [76.0, 7.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [47.0, 75.0]),\n", " ({'id': 14, 'name': 'Dribble'}, [47.0, 70.0]),\n", " ({'id': 4, 'name': 'Duel'}, [74.0, 11.0]),\n", " ({'id': 30, 'name': 'Pass'}, [55.0, 80.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [37.0, 76.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [85.0, 18.0]),\n", " ({'id': 30, 'name': 'Pass'}, [39.0, 75.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [36.0, 55.0]),\n", " ({'id': 30, 'name': 'Pass'}, [39.0, 49.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [66.0, 8.0]),\n", " ({'id': 14, 'name': 'Dribble'}, [69.0, 9.0]),\n", " ({'id': 4, 'name': 'Duel'}, [52.0, 72.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [70.0, 11.0]),\n", " ({'id': 39, 'name': 'Dribbled Past'}, [68.0, 2.0]),\n", " ({'id': 14, 'name': 'Dribble'}, [53.0, 79.0]),\n", " ({'id': 30, 'name': 'Pass'}, [50.0, 74.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [50.0, 58.0]),\n", " ({'id': 30, 'name': 'Pass'}, [54.0, 63.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [37.0, 74.0]),\n", " ({'id': 30, 'name': 'Pass'}, [37.0, 74.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [33.0, 57.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [85.0, 32.0]),\n", " ({'id': 30, 'name': 'Pass'}, [31.0, 51.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [30.0, 23.0]),\n", " ({'id': 30, 'name': 'Pass'}, [30.0, 21.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [38.0, 10.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [78.0, 74.0]),\n", " ({'id': 38, 'name': 'Miscontrol'}, [46.0, 3.0]),\n", " ({'id': 10, 'name': 'Interception'}, [58.0, 74.0]),\n", " ({'id': 30, 'name': 'Pass'}, [31.0, 7.0]),\n", " ({'id': 10, 'name': 'Interception'}, [59.0, 74.0]),\n", " ({'id': 30, 'name': 'Pass'}, [90.0, 1.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [78.0, 8.0]),\n", " ({'id': 30, 'name': 'Pass'}, [82.0, 12.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [43.0, 73.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [74.0, 5.0]),\n", " ({'id': 30, 'name': 'Pass'}, [74.0, 6.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [74.0, 17.0]),\n", " ({'id': 30, 'name': 'Pass'}, [74.0, 17.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [78.0, 5.0]),\n", " ({'id': 30, 'name': 'Pass'}, [82.0, 6.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [86.0, 15.0]),\n", " ({'id': 17, 'name': 'Pressure'}, [30.0, 69.0]),\n", " ({'id': 30, 'name': 'Pass'}, [86.0, 15.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [86.0, 30.0]),\n", " ({'id': 30, 'name': 'Pass'}, [86.0, 30.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [99.0, 41.0]),\n", " ({'id': 10, 'name': 'Interception'}, [25.0, 44.0]),\n", " ({'id': 30, 'name': 'Pass'}, [26.0, 46.0]),\n", " ({'id': 42, 'name': 'Ball Receipt*'}, [35.0, 54.0]),\n", " ...]" ] }, "execution_count": 105, "metadata": {}, "output_type": "execute_result" } ], "source": [ "conc" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 92, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 {'id': 35, 'name': 'Starting XI'}\n", "1 {'id': 35, 'name': 'Starting XI'}\n", "2 {'id': 18, 'name': 'Half Start'}\n", "3 {'id': 18, 'name': 'Half Start'}\n", "4 {'id': 30, 'name': 'Pass'}\n", "5 {'id': 42, 'name': 'Ball Receipt*'}\n", "6 {'id': 17, 'name': 'Pressure'}\n", "7 {'id': 30, 'name': 'Pass'}\n", "8 {'id': 42, 'name': 'Ball Receipt*'}\n", "9 {'id': 17, 'name': 'Pressure'}\n", "10 {'id': 38, 'name': 'Miscontrol'}\n", "11 {'id': 17, 'name': 'Pressure'}\n", "12 {'id': 30, 'name': 'Pass'}\n", "13 {'id': 30, 'name': 'Pass'}\n", "14 {'id': 42, 'name': 'Ball Receipt*'}\n", "15 {'id': 17, 'name': 'Pressure'}\n", "16 {'id': 30, 'name': 'Pass'}\n", "17 {'id': 42, 'name': 'Ball Receipt*'}\n", "18 {'id': 6, 'name': 'Block'}\n", "19 {'id': 17, 'name': 'Pressure'}\n", "20 {'id': 30, 'name': 'Pass'}\n", "21 {'id': 42, 'name': 'Ball Receipt*'}\n", "22 {'id': 30, 'name': 'Pass'}\n", "23 {'id': 17, 'name': 'Pressure'}\n", "24 {'id': 42, 'name': 'Ball Receipt*'}\n", "25 {'id': 38, 'name': 'Miscontrol'}\n", "26 {'id': 2, 'name': 'Ball Recovery'}\n", "27 {'id': 30, 'name': 'Pass'}\n", "28 {'id': 42, 'name': 'Ball Receipt*'}\n", "29 {'id': 39, 'name': 'Dribbled Past'}\n", " ... \n", "2930 {'id': 42, 'name': 'Ball Receipt*'}\n", "2931 {'id': 9, 'name': 'Clearance'}\n", "2932 {'id': 17, 'name': 'Pressure'}\n", "2933 {'id': 30, 'name': 'Pass'}\n", "2934 {'id': 42, 'name': 'Ball Receipt*'}\n", "2935 {'id': 30, 'name': 'Pass'}\n", "2936 {'id': 42, 'name': 'Ball Receipt*'}\n", "2937 {'id': 30, 'name': 'Pass'}\n", "2938 {'id': 42, 'name': 'Ball Receipt*'}\n", "2939 {'id': 17, 'name': 'Pressure'}\n", "2940 {'id': 30, 'name': 'Pass'}\n", "2941 {'id': 42, 'name': 'Ball Receipt*'}\n", "2942 {'id': 9, 'name': 'Clearance'}\n", "2943 {'id': 30, 'name': 'Pass'}\n", "2944 {'id': 2, 'name': 'Ball Recovery'}\n", "2945 {'id': 30, 'name': 'Pass'}\n", "2946 {'id': 17, 'name': 'Pressure'}\n", "2947 {'id': 42, 'name': 'Ball Receipt*'}\n", "2948 {'id': 9, 'name': 'Clearance'}\n", "2949 {'id': 30, 'name': 'Pass'}\n", "2950 {'id': 42, 'name': 'Ball Receipt*'}\n", "2951 {'id': 17, 'name': 'Pressure'}\n", "2952 {'id': 30, 'name': 'Pass'}\n", "2953 {'id': 6, 'name': 'Block'}\n", "2954 {'id': 30, 'name': 'Pass'}\n", "2955 {'id': 30, 'name': 'Pass'}\n", "2956 {'id': 30, 'name': 'Pass'}\n", "2957 {'id': 9, 'name': 'Clearance'}\n", "2958 {'id': 34, 'name': 'Half End'}\n", "2959 {'id': 34, 'name': 'Half End'}\n", "Name: type, Length: 2960, dtype: object" ] }, "execution_count": 92, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.type" ] }, { "cell_type": "code", "execution_count": 98, "metadata": {}, "outputs": [], "source": [ "df.type.to_csv(r\"C:\\Users\\Koushik\\Downloads\\hope.csv\")" ] }, { "cell_type": "code", "execution_count": 104, "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "unsupported type: ", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtype\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_dict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'series'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\series.py\u001b[0m in \u001b[0;36mto_dict\u001b[1;34m(self, into)\u001b[0m\n\u001b[0;32m 1340\u001b[0m \"\"\"\n\u001b[0;32m 1341\u001b[0m \u001b[1;31m# GH16122\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1342\u001b[1;33m \u001b[0minto_c\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstandardize_mapping\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minto\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1343\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0minto_c\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcompat\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miteritems\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1344\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\common.py\u001b[0m in \u001b[0;36mstandardize_mapping\u001b[1;34m(into)\u001b[0m\n\u001b[0;32m 470\u001b[0m \u001b[0minto\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minto\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 471\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0missubclass\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minto\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcollections\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mMapping\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 472\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'unsupported type: {into}'\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minto\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0minto\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 473\u001b[0m \u001b[1;32melif\u001b[0m \u001b[0minto\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mcollections\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdefaultdict\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 474\u001b[0m raise TypeError(\n", "\u001b[1;31mTypeError\u001b[0m: unsupported type: " ] } ], "source": [ "df.type.to_dict('series')\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 91, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "' '" ] }, "execution_count": 91, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 82, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'id': 35, 'name': 'Starting XI'}" ] }, "execution_count": 82, "metadata": {}, "output_type": "execute_result" } ], "source": [ "a" ] }, { "cell_type": "code", "execution_count": 85, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "\"{'id': 35, 'name': 'Starting XI'}\"" ] }, "execution_count": 85, "metadata": {}, "output_type": "execute_result" } ], "source": [ "str(a)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.describe" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ "conc" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[{'id': 35, 'name': 'Starting XI'},\n", " {'id': 18, 'name': 'Half Start'},\n", " {'id': 18, 'name': 'Half Start'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 38, 'name': 'Miscontrol'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 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'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 3, 'name': 'Dispossessed'},\n", " {'id': 4, 'name': 'Duel'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 3, 'name': 'Dispossessed'},\n", " {'id': 4, 'name': 'Duel'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 38, 'name': 'Miscontrol'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 38, 'name': 'Miscontrol'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 38, 'name': 'Miscontrol'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 6, 'name': 'Block'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 39, 'name': 'Dribbled Past'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 14, 'name': 'Dribble'},\n", " {'id': 16, 'name': 'Shot'},\n", " {'id': 6, 'name': 'Block'},\n", " {'id': 23, 'name': 'Goal Keeper'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 9, 'name': 'Clearance'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 16, 'name': 'Shot'},\n", " {'id': 6, 'name': 'Block'},\n", " {'id': 23, 'name': 'Goal Keeper'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 16, 'name': 'Shot'},\n", " {'id': 6, 'name': 'Block'},\n", " {'id': 23, 'name': 'Goal Keeper'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 16, 'name': 'Shot'},\n", " {'id': 23, 'name': 'Goal Keeper'},\n", " {'id': 5, 'name': 'Camera On'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 38, 'name': 'Miscontrol'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 9, 'name': 'Clearance'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 39, 'name': 'Dribbled Past'},\n", " {'id': 14, 'name': 'Dribble'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 10, 'name': 'Interception'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 9, 'name': 'Clearance'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 3, 'name': 'Dispossessed'},\n", " {'id': 4, 'name': 'Duel'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 10, 'name': 'Interception'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 6, 'name': 'Block'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 6, 'name': 'Block'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 4, 'name': 'Duel'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 9, 'name': 'Clearance'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball 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'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 3, 'name': 'Dispossessed'},\n", " {'id': 4, 'name': 'Duel'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 6, 'name': 'Block'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 38, 'name': 'Miscontrol'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 38, 'name': 'Miscontrol'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 5, 'name': 'Camera On'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 10, 'name': 'Interception'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 39, 'name': 'Dribbled Past'},\n", " {'id': 14, 'name': 'Dribble'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 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'name': 'Ball Recovery'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 5, 'name': 'Camera On'},\n", " {'id': 38, 'name': 'Miscontrol'},\n", " {'id': 23, 'name': 'Goal Keeper'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 14, 'name': 'Dribble'},\n", " {'id': 4, 'name': 'Duel'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 22, 'name': 'Foul Committed'},\n", " {'id': 21, 'name': 'Foul Won'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 2, 'name': 'Ball Recovery'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball 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'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 38, 'name': 'Miscontrol'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 36, 'name': 'Tactical Shift'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 14, 'name': 'Dribble'},\n", " {'id': 4, 'name': 'Duel'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 14, 'name': 'Dribble'},\n", " {'id': 4, 'name': 'Duel'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 39, 'name': 'Dribbled Past'},\n", " {'id': 14, 'name': 'Dribble'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 38, 'name': 'Miscontrol'},\n", " {'id': 10, 'name': 'Interception'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 10, 'name': 'Interception'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 17, 'name': 'Pressure'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 10, 'name': 'Interception'},\n", " {'id': 30, 'name': 'Pass'},\n", " {'id': 42, 'name': 'Ball Receipt*'},\n", " {'id': 10, 'name': 'Interception'},\n", " ...]" ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "import json \n", "from pandas.io.json import json_normalize " ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "with open(r'C:\\Users\\Koushik\\Downloads\\open-data-master\\open-data-master\\data\\events\\7298.json') as data_file: \n", " data = json.load(data_file) " ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "string indices must be integers", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdf_event\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mjson_normalize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'type'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;34m'id'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'name'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrecord_prefix\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'type_'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0merrors\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'ignore'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\io\\json\\normalize.py\u001b[0m in \u001b[0;36mjson_normalize\u001b[1;34m(data, record_path, meta, meta_prefix, record_prefix, errors, sep)\u001b[0m\n\u001b[0;32m 260\u001b[0m \u001b[0mrecords\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrecs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 261\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 262\u001b[1;33m \u001b[0m_recursive_extract\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrecord_path\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 263\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 264\u001b[0m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mDataFrame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrecords\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\io\\json\\normalize.py\u001b[0m in \u001b[0;36m_recursive_extract\u001b[1;34m(data, path, seen_meta, level)\u001b[0m\n\u001b[0;32m 236\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 237\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mobj\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 238\u001b[1;33m \u001b[0mrecs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_pull_field\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpath\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 239\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 240\u001b[0m \u001b[1;31m# For repeating the metadata later\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\io\\json\\normalize.py\u001b[0m in \u001b[0;36m_pull_field\u001b[1;34m(js, spec)\u001b[0m\n\u001b[0;32m 183\u001b[0m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mfield\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 184\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 185\u001b[1;33m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mspec\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 186\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 187\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mTypeError\u001b[0m: string indices must be integers" ] } ], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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c0bd843f-77eb-4812-83ec-13181beaa21b NaN\n", "5915 name c0bd843f-77eb-4812-83ec-13181beaa21b NaN\n", "5916 id 7620698b-6f87-4a03-aaaa-58eb3133a7c3 NaN\n", "5917 name 7620698b-6f87-4a03-aaaa-58eb3133a7c3 NaN\n", "5918 id fb15f211-1c83-455b-b535-918330bf6852 NaN\n", "5919 name fb15f211-1c83-455b-b535-918330bf6852 NaN\n", "\n", "[5920 rows x 3 columns]" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_event\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 8, "metadata": { "scrolled": true }, "outputs": [ { "ename": "KeyError", "evalue": "'Minute'", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 3077\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3078\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3079\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32mpandas\\_libs\\index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", "\u001b[1;32mpandas\\_libs\\index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", "\u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", "\u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", "\u001b[1;31mKeyError\u001b[0m: 'Minute'", "\nDuring handling of the above exception, another exception occurred:\n", "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdf\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Minute'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 2686\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2687\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2688\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_column\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2689\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2690\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_getitem_column\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m_getitem_column\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 2693\u001b[0m \u001b[1;31m# get column\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2694\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mis_unique\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2695\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_item_cache\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2696\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2697\u001b[0m \u001b[1;31m# duplicate columns & possible reduce dimensionality\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m_get_item_cache\u001b[1;34m(self, item)\u001b[0m\n\u001b[0;32m 2487\u001b[0m \u001b[0mres\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcache\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2488\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mres\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2489\u001b[1;33m \u001b[0mvalues\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2490\u001b[0m \u001b[0mres\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_box_item_values\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2491\u001b[0m \u001b[0mcache\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mitem\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mres\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\internals.py\u001b[0m in \u001b[0;36mget\u001b[1;34m(self, item, fastpath)\u001b[0m\n\u001b[0;32m 4113\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4114\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0misna\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 4115\u001b[1;33m \u001b[0mloc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4116\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4117\u001b[0m \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0misna\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 3078\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3079\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3080\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maybe_cast_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3081\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3082\u001b[0m \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtolerance\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtolerance\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32mpandas\\_libs\\index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", "\u001b[1;32mpandas\\_libs\\index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", "\u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", "\u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", "\u001b[1;31mKeyError\u001b[0m: 'Minute'" ] } ], "source": [ "df['Minute']\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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1NaNNaNNaNNaNNaNNaN0.00NaNNaNNaN...{'id': 746, 'name': 'Manchester City WFC'}NaN0NaNNaN{'formation': 352, 'lineup': [{'player': {'id'...{'id': 971, 'name': 'Chelsea LFC'}2018-11-29 00:00:00.000{'id': 35, 'name': 'Starting XI'}NaN
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5 rows × 33 columns

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" ], "text/plain": [ " bad_behaviour ball_receipt ball_recovery block dribble duel duration \\\n", "0 NaN NaN NaN NaN NaN NaN 0.00 \n", "1 NaN NaN NaN NaN NaN NaN 0.00 \n", "2 NaN NaN NaN NaN NaN NaN 8.16 \n", "3 NaN NaN NaN NaN NaN NaN 7.96 \n", "4 NaN NaN NaN NaN NaN NaN 0.00 \n", "\n", " foul_committed foul_won goalkeeper ... \\\n", "0 NaN NaN NaN ... \n", "1 NaN NaN NaN ... \n", "2 NaN NaN NaN ... \n", "3 NaN NaN NaN ... \n", "4 NaN NaN NaN ... \n", "\n", " possession_team \\\n", "0 {'id': 746, 'name': 'Manchester City WFC'} \n", "1 {'id': 746, 'name': 'Manchester City WFC'} \n", "2 {'id': 746, 'name': 'Manchester City WFC'} \n", "3 {'id': 746, 'name': 'Manchester City WFC'} \n", "4 {'id': 971, 'name': 'Chelsea LFC'} \n", "\n", " related_events second shot substitution \\\n", "0 NaN 0 NaN NaN \n", "1 NaN 0 NaN NaN \n", "2 [c771a4d4-51cb-41de-83aa-7103cd199c92] 0 NaN NaN \n", "3 [48b94b06-ebbd-47e9-958c-44bf63622f5e] 0 NaN NaN \n", "4 [237cac8c-5cb0-4015-9d08-c7df9699a136] 0 NaN NaN \n", "\n", " tactics \\\n", "0 {'formation': 433, 'lineup': [{'player': {'id'... \n", "1 {'formation': 352, 'lineup': [{'player': {'id'... \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "\n", " team timestamp \\\n", "0 {'id': 746, 'name': 'Manchester City WFC'} 2018-11-29 00:00:00.000 \n", "1 {'id': 971, 'name': 'Chelsea LFC'} 2018-11-29 00:00:00.000 \n", "2 {'id': 971, 'name': 'Chelsea LFC'} 2018-11-29 00:00:00.000 \n", "3 {'id': 746, 'name': 'Manchester City WFC'} 2018-11-29 00:00:00.000 \n", "4 {'id': 971, 'name': 'Chelsea LFC'} 2018-11-29 00:00:00.100 \n", "\n", " type under_pressure \n", "0 {'id': 35, 'name': 'Starting XI'} NaN \n", "1 {'id': 35, 'name': 'Starting XI'} NaN \n", "2 {'id': 18, 'name': 'Half Start'} NaN \n", "3 {'id': 18, 'name': 'Half Start'} NaN \n", "4 {'id': 30, 'name': 'Pass'} NaN \n", "\n", "[5 rows x 33 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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": "3.6.8" } }, "nbformat": 4, "nbformat_minor": 2 }