2023-11-19 02:25:01 +01:00
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{
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"cells": [
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{
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"cell_type": "code",
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2023-12-04 11:06:06 +01:00
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"execution_count": 3,
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2023-11-21 17:33:42 +01:00
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"metadata": {},
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"outputs": [],
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"source": [
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"# librarys:\n",
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"\n",
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"import json\n",
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"import csv\n",
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"import os\n",
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"import pandas as pd\n"
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]
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},
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{
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"cell_type": "code",
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2023-12-04 11:06:06 +01:00
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"execution_count": 5,
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2023-11-21 17:33:42 +01:00
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"metadata": {},
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2023-11-19 02:25:01 +01:00
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"outputs": [],
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"source": [
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2023-11-28 15:50:50 +01:00
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"# Functions\n",
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"\n",
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"def openGameFile(name):\n",
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" path = os.path.join(\"..\",\"data\",\"la_liga_events\",name)\n",
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" f = open(path)\n",
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" data = json.load(f)\n",
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" return data\n",
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"\n",
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"# Czyszczenie danych\n",
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"# nadpisz \n",
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"# True - dane zostana dodane do pliku\n",
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"# False - plik zostanie nadpisanu\n",
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2023-11-21 17:33:42 +01:00
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"#\n",
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2023-11-28 15:50:50 +01:00
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"def uploadData(inputFile, outputFile, nadpisz):\n",
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" try:\n",
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" jsonFile = openGameFile(inputFile)\n",
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" clean_event = []\n",
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" for event in jsonFile:\n",
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" if(event[\"type\"][\"name\"]==\"Shot\"):\n",
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" clean_event = []\n",
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" #time\n",
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" clean_event.append(event[\"minute\"])\n",
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" #location\n",
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" clean_event.append(event[\"position\"][\"name\"])\n",
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" # shot type\n",
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" clean_event.append(event[\"shot\"][\"type\"][\"name\"])\n",
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" #outcome\n",
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" clean_event.append(event[\"shot\"][\"outcome\"][\"name\"])\n",
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" \n",
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" clean_event.append(event[\"shot\"][\"technique\"][\"name\"])\n",
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"\n",
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" m_players = []\n",
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" en_players = []\n",
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" keeper = []\n",
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" for player in event[\"shot\"][\"freeze_frame\"]:\n",
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" player_p = 0\n",
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" if player[\"teammate\"] :\n",
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" m_players.append(player[\"location\"])\n",
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" elif player[\"position\"] == 'Goalkeeper':\n",
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" keeper = player['location']\n",
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" else:\n",
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" en_players.append(player[\"location\"])\n",
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" for i in range(0,10):\n",
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" if(len(m_players)>i):\n",
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" clean_event.append(m_players[i])\n",
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" else:\n",
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" clean_event.append(\"none\")\n",
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2023-11-21 17:33:42 +01:00
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"\n",
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2023-11-28 15:50:50 +01:00
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" for i in range(0,9):\n",
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" if(len(en_players)> i):\n",
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" clean_event.append(en_players[i])\n",
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" else:\n",
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" clean_event.append(\"none\")\n",
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" \n",
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" clean_event.append(keeper)\n",
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2023-11-21 17:33:42 +01:00
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"\n",
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2023-11-28 15:50:50 +01:00
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" if(event[\"shot\"][\"outcome\"]==\"Goal\"):\n",
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" clean_event.append(1)\n",
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" else:\n",
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" clean_event.append(0)\n",
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" \n",
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" \n",
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" #Saving to a file\n",
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" with open(outputFile, 'a', newline='') as file:\n",
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" writer = csv.writer(file)\n",
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" writer.writerow(clean_event)\n",
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"\n",
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" except:\n",
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2023-12-04 11:06:06 +01:00
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" raise Exception(\"invalid data\")"
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2023-11-21 17:33:42 +01:00
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]
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},
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{
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"cell_type": "code",
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2023-12-04 11:06:06 +01:00
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"execution_count": 6,
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2023-11-21 17:33:42 +01:00
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"metadata": {},
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"outputs": [
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{
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2023-11-28 15:50:50 +01:00
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"name": "stdout",
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"output_type": "stream",
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"text": [
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2023-12-04 11:06:06 +01:00
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"1/100\n"
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2023-11-21 17:33:42 +01:00
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]
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}
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],
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"source": [
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2023-12-04 11:06:06 +01:00
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"for i in range(1,2):\n",
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2023-11-28 15:50:50 +01:00
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" print(str(i) + \"/100\")\n",
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" name = \" (\" + str(i) + (\").json\")\n",
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2023-12-04 11:06:06 +01:00
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" uploadData(name,\"test_dataSet.csv\",True)\n"
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2023-11-19 02:25:01 +01:00
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]
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}
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],
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"metadata": {
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2023-11-21 17:33:42 +01:00
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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2023-11-19 02:25:01 +01:00
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"language_info": {
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2023-11-21 17:33:42 +01:00
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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2023-12-06 19:45:52 +01:00
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"version": "3.10.0"
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2023-11-19 02:25:01 +01:00
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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