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fantabeto/2_votes_dataset_creation.ipynb
T
Giuseppe Musicco 8f7df5dd7f Minor update (matchday 21) 
- updated code for new FBRef stats;
- updated players list;
- players who changed team handled slightly better
2023-02-04 13:10:39 +01:00

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{
"cells": [
{
"cell_type": "markdown",
"id": "5c9991b1",
"metadata": {},
"source": [
"Generate player votes database, containing votes for Serie A matchday and player.\n",
"\n",
"Votes data is manually downloaded from https://www.fantacalcio.it/voti-fantacalcio-serie-a\n",
"\n",
"Serie A calendar is loaded from another file, to add information not containing in votes files: home/away, team opponent."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "b63beb69",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "a3c39376",
"metadata": {},
"outputs": [],
"source": [
"cal = np.array(pd.read_excel('fantacalcio/seriea_calendar.xlsx', header = None))\n",
"\n",
"cal_df = pd.DataFrame(columns = ['matchday', 'team1', 'team2'])\n",
"\n",
"matchday = 0\n",
"\n",
"for i in range(cal.shape[0]):\n",
" if(cal[i, 0][0].isnumeric()):\n",
" matchday = matchday + 1\n",
" continue\n",
" \n",
" teams = cal[i, 0].split('-')\n",
" \n",
" frame = pd.DataFrame([[matchday, teams[0], teams[1]]], columns = cal_df.columns)\n",
"\n",
" cal_df = pd.concat([cal_df, frame], ignore_index = True)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "92d3c6fb",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>matchday</th>\n",
" <th>team1</th>\n",
" <th>team2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>Fiorentina</td>\n",
" <td>Cremonese</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>Verona</td>\n",
" <td>Napoli</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1</td>\n",
" <td>Juventus</td>\n",
" <td>Sassuolo</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>Lazio</td>\n",
" <td>Bologna</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1</td>\n",
" <td>Lecce</td>\n",
" <td>Inter</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>375</th>\n",
" <td>38</td>\n",
" <td>Lecce</td>\n",
" <td>Bologna</td>\n",
" </tr>\n",
" <tr>\n",
" <th>376</th>\n",
" <td>38</td>\n",
" <td>Sassuolo</td>\n",
" <td>Fiorentina</td>\n",
" </tr>\n",
" <tr>\n",
" <th>377</th>\n",
" <td>38</td>\n",
" <td>Milan</td>\n",
" <td>Verona</td>\n",
" </tr>\n",
" <tr>\n",
" <th>378</th>\n",
" <td>38</td>\n",
" <td>Torino</td>\n",
" <td>Inter</td>\n",
" </tr>\n",
" <tr>\n",
" <th>379</th>\n",
" <td>38</td>\n",
" <td>Udinese</td>\n",
" <td>Juventus</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>380 rows × 3 columns</p>\n",
"</div>"
],
"text/plain": [
" matchday team1 team2\n",
"0 1 Fiorentina Cremonese\n",
"1 1 Verona Napoli\n",
"2 1 Juventus Sassuolo\n",
"3 1 Lazio Bologna\n",
"4 1 Lecce Inter\n",
".. ... ... ...\n",
"375 38 Lecce Bologna\n",
"376 38 Sassuolo Fiorentina\n",
"377 38 Milan Verona\n",
"378 38 Torino Inter\n",
"379 38 Udinese Juventus\n",
"\n",
"[380 rows x 3 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cal_df"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "0d4a330d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"loaded votes for matchday 1\n",
"loaded votes for matchday 2\n",
"loaded votes for matchday 3\n",
"loaded votes for matchday 4\n",
"loaded votes for matchday 5\n",
"loaded votes for matchday 6\n",
"loaded votes for matchday 7\n",
"loaded votes for matchday 8\n",
"loaded votes for matchday 9\n",
"loaded votes for matchday 10\n",
"loaded votes for matchday 11\n",
"loaded votes for matchday 12\n",
"loaded votes for matchday 13\n",
"loaded votes for matchday 14\n",
"loaded votes for matchday 15\n",
"loaded votes for matchday 16\n",
"loaded votes for matchday 17\n",
"loaded votes for matchday 18\n",
"loaded votes for matchday 19\n",
"loaded votes for matchday 20\n"
]
}
],
"source": [
"df = pd.DataFrame(columns = ['matchday', 'player', 'team', 'oppteam', 'home', 'vote', 'goals', 'assists', 'cards_malus', 'fantavote'])\n",
"\n",
"LAST_MATCH = 38\n",
"\n",
"for matchday in range(1, LAST_MATCH + 1):\n",
" \n",
" votes_file = 'fantacalcio/voti/Voti_Fantacalcio_Stagione_2022_23_Giornata_' + str(matchday) + '.xlsx'\n",
"\n",
" try:\n",
" rx = np.array(pd.read_excel(votes_file, header = None))\n",
" except:\n",
" break\n",
"\n",
" read = 0\n",
" for i in range(rx.shape[0]):\n",
" if(rx[i, 0] == \"Cod.\"):\n",
" read = 1\n",
" team = rx[i-1, 0];\n",
" continue\n",
"\n",
" if(read):\n",
" if(isinstance(rx[i, 0], int)):\n",
" if((isinstance(rx[i, 3], float) or isinstance(rx[i, 3], int)) and rx[i, 1] != \"ALL\") :\n",
" player = rx[i, 2];\n",
" vote = float(rx[i, 3])\n",
" goals = rx[i, 4] + rx[i, 8] - rx[i, 5]\n",
" assists = rx[i, 12]\n",
" cards_malus = rx[i, 10] * 0.5 + rx[i, 11]\n",
" \n",
" oppteam = ''\n",
" home = 0\n",
" for j in range(cal_df.shape[0]):\n",
" if(cal_df['matchday'][j] == matchday):\n",
" if(cal_df['team1'][j] == team):\n",
" oppteam = cal_df['team2'][j] \n",
" home = 1\n",
" elif(cal_df['team2'][j] == team):\n",
" oppteam = cal_df['team1'][j] \n",
" home = 0\n",
"\n",
" goals_gen = goals * 3;\n",
" if(goals < 0):\n",
" goals_gen = goals\n",
" \n",
" fantavote = vote + goals_gen + assists - cards_malus \n",
" \n",
" frame = pd.DataFrame([[matchday, player, team, oppteam, home, vote, goals, assists, cards_malus, fantavote]], columns = df.columns)\n",
"\n",
" df = pd.concat([df, frame], axis = 0, ignore_index = True)\n",
" else:\n",
" read = 0\n",
" continue\n",
" \n",
" print('loaded votes for matchday ' + str(matchday))\n",
"\n",
" df"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "6ade957d",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>matchday</th>\n",
" <th>player</th>\n",
" <th>team</th>\n",
" <th>oppteam</th>\n",
" <th>home</th>\n",
" <th>vote</th>\n",
" <th>goals</th>\n",
" <th>assists</th>\n",
" <th>cards_malus</th>\n",
" <th>fantavote</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>Musso</td>\n",
" <td>Atalanta</td>\n",
" <td>Sampdoria</td>\n",
" <td>0</td>\n",
" <td>6.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.5</td>\n",
" <td>5.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>Toloi</td>\n",
" <td>Atalanta</td>\n",
" <td>Sampdoria</td>\n",
" <td>0</td>\n",
" <td>7.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>10.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1</td>\n",
" <td>Djimsiti</td>\n",
" <td>Atalanta</td>\n",
" <td>Sampdoria</td>\n",
" <td>0</td>\n",
" <td>6.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>6.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>Hateboer</td>\n",
" <td>Atalanta</td>\n",
" <td>Sampdoria</td>\n",
" <td>0</td>\n",
" <td>6.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.5</td>\n",
" <td>5.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1</td>\n",
" <td>Okoli</td>\n",
" <td>Atalanta</td>\n",
" <td>Sampdoria</td>\n",
" <td>0</td>\n",
" <td>5.5</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.5</td>\n",
" <td>5.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5710</th>\n",
" <td>20</td>\n",
" <td>Sulemana I.</td>\n",
" <td>Verona</td>\n",
" <td>Udinese</td>\n",
" <td>0</td>\n",
" <td>5.5</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.5</td>\n",
" <td>5.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5711</th>\n",
" <td>20</td>\n",
" <td>Lasagna</td>\n",
" <td>Verona</td>\n",
" <td>Udinese</td>\n",
" <td>0</td>\n",
" <td>5.5</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>5.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5712</th>\n",
" <td>20</td>\n",
" <td>Braaf</td>\n",
" <td>Verona</td>\n",
" <td>Udinese</td>\n",
" <td>0</td>\n",
" <td>5.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>5.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5713</th>\n",
" <td>20</td>\n",
" <td>Djuric</td>\n",
" <td>Verona</td>\n",
" <td>Udinese</td>\n",
" <td>0</td>\n",
" <td>6.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>6.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5714</th>\n",
" <td>20</td>\n",
" <td>Ngonge</td>\n",
" <td>Verona</td>\n",
" <td>Udinese</td>\n",
" <td>0</td>\n",
" <td>6.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>6.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5715 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" matchday player team oppteam home vote goals assists \\\n",
"0 1 Musso Atalanta Sampdoria 0 6.0 0 0 \n",
"1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
"2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
"3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
"4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"5710 20 Sulemana I. Verona Udinese 0 5.5 0 0 \n",
"5711 20 Lasagna Verona Udinese 0 5.5 0 0 \n",
"5712 20 Braaf Verona Udinese 0 5.0 0 0 \n",
"5713 20 Djuric Verona Udinese 0 6.0 0 0 \n",
"5714 20 Ngonge Verona Udinese 0 6.0 0 0 \n",
"\n",
" cards_malus fantavote \n",
"0 0.5 5.5 \n",
"1 0.0 10.0 \n",
"2 0.0 6.0 \n",
"3 0.5 5.5 \n",
"4 0.5 5.0 \n",
"... ... ... \n",
"5710 0.5 5.0 \n",
"5711 0.0 5.5 \n",
"5712 0.0 5.0 \n",
"5713 0.0 6.0 \n",
"5714 0.0 6.0 \n",
"\n",
"[5715 rows x 10 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "230213fe",
"metadata": {},
"outputs": [],
"source": [
"df.to_excel('mid_outputs/players_votes.xlsx')"
]
},
{
"cell_type": "markdown",
"id": "ef91ece3",
"metadata": {},
"source": [
"Elaborate data for past seasons.\n",
"\n",
"Do not repeat if data is already present."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "da35bdf9",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>matchday</th>\n",
" <th>team1</th>\n",
" <th>team2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>Verona</td>\n",
" <td>Sassuolo</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>Inter</td>\n",
" <td>Genoa</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1</td>\n",
" <td>Empoli</td>\n",
" <td>Lazio</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>Torino</td>\n",
" <td>Atalanta</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1</td>\n",
" <td>Bologna</td>\n",
" <td>Salernitana</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>375</th>\n",
" <td>38</td>\n",
" <td>Spezia</td>\n",
" <td>Napoli</td>\n",
" </tr>\n",
" <tr>\n",
" <th>376</th>\n",
" <td>38</td>\n",
" <td>Sassuolo</td>\n",
" <td>Milan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>377</th>\n",
" <td>38</td>\n",
" <td>Inter</td>\n",
" <td>Sampdoria</td>\n",
" </tr>\n",
" <tr>\n",
" <th>378</th>\n",
" <td>38</td>\n",
" <td>Salernitana</td>\n",
" <td>Udinese</td>\n",
" </tr>\n",
" <tr>\n",
" <th>379</th>\n",
" <td>38</td>\n",
" <td>Venezia</td>\n",
" <td>Cagliari</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>380 rows × 3 columns</p>\n",
"</div>"
],
"text/plain": [
" matchday team1 team2\n",
"0 1 Verona Sassuolo\n",
"1 1 Inter Genoa\n",
"2 1 Empoli Lazio\n",
"3 1 Torino Atalanta\n",
"4 1 Bologna Salernitana\n",
".. ... ... ...\n",
"375 38 Spezia Napoli\n",
"376 38 Sassuolo Milan\n",
"377 38 Inter Sampdoria\n",
"378 38 Salernitana Udinese\n",
"379 38 Venezia Cagliari\n",
"\n",
"[380 rows x 3 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cal_df = pd.read_excel('fantacalcio/season2122/seriea_calendar.xlsx')\n",
"\n",
"to_drop = list()\n",
"\n",
"for i in range(cal_df.shape[0]):\n",
" if(not isinstance(cal_df['matchday'][i], int)):\n",
" to_drop.append(i)\n",
" \n",
"cal_df = cal_df.drop(to_drop)\n",
"\n",
"cal_df = cal_df.reset_index(drop = True)\n",
"\n",
"cal_df"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "0313a0f4",
"metadata": {},
"outputs": [],
"source": [
"df = pd.DataFrame(columns = ['matchday', 'player', 'team', 'oppteam', 'home', 'vote', 'goals', 'assists', 'cards_malus', 'fantavote'])\n",
"\n",
"LAST_MATCH = 38\n",
"\n",
"for matchday in range(1, LAST_MATCH + 1):\n",
" \n",
" votes_file = 'fantacalcio/season2122/voti/Voti_Fantacalcio_Stagione_2021_22_Giornata_' + str(matchday) + '.xlsx'\n",
"\n",
"\n",
"\n",
"\n",
" rx = np.array(pd.read_excel(votes_file, header = None))\n",
"\n",
" read = 0\n",
" for i in range(rx.shape[0]):\n",
" if(rx[i, 0] == \"Cod.\"):\n",
" read = 1\n",
" team = rx[i-1, 0];\n",
" continue\n",
"\n",
" if(read):\n",
" if(isinstance(rx[i, 0], int)):\n",
" if((isinstance(rx[i, 3], float) or isinstance(rx[i, 3], int)) and rx[i, 1] != \"ALL\") :\n",
" player = rx[i, 2];\n",
" vote = float(rx[i, 3])\n",
" goals = rx[i, 4] + rx[i, 8] - rx[i, 5]\n",
" assists = rx[i, 12]\n",
" cards_malus = rx[i, 10] * 0.5 + rx[i, 11]\n",
" \n",
" oppteam = ''\n",
" home = 0\n",
" for j in range(cal_df.shape[0]):\n",
" if(cal_df['matchday'][j] == matchday):\n",
" if(cal_df['team1'][j] == team):\n",
" oppteam = cal_df['team2'][j] \n",
" home = 1\n",
" elif(cal_df['team2'][j] == team):\n",
" oppteam = cal_df['team1'][j] \n",
" home = 0\n",
"\n",
" goals_gen = goals * 3;\n",
" if(goals < 0):\n",
" goals_gen = goals\n",
" \n",
" fantavote = vote + goals_gen + assists - cards_malus \n",
" \n",
" frame = pd.DataFrame([[matchday, player, team, oppteam, home, vote, goals, assists, cards_malus, fantavote]], columns = df.columns)\n",
"\n",
" df = pd.concat([df, frame], axis = 0, ignore_index = True)\n",
" else:\n",
" read = 0\n",
" continue\n",
"\n",
" df"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "82b1cfc8",
"metadata": {},
"outputs": [],
"source": [
"df.to_excel('mid_outputs/season2122/players_votes.xlsx')"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "d1fca3ba",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>matchday</th>\n",
" <th>team1</th>\n",
" <th>team2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>Fiorentina</td>\n",
" <td>Torino</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>Verona</td>\n",
" <td>Roma</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1</td>\n",
" <td>Parma</td>\n",
" <td>Napoli</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>Genoa</td>\n",
" <td>Crotone</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1</td>\n",
" <td>Sassuolo</td>\n",
" <td>Cagliari</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>375</th>\n",
" <td>38</td>\n",
" <td>Sassuolo</td>\n",
" <td>Lazio</td>\n",
" </tr>\n",
" <tr>\n",
" <th>376</th>\n",
" <td>38</td>\n",
" <td>Atalanta</td>\n",
" <td>Milan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>377</th>\n",
" <td>38</td>\n",
" <td>Torino</td>\n",
" <td>Benevento</td>\n",
" </tr>\n",
" <tr>\n",
" <th>378</th>\n",
" <td>38</td>\n",
" <td>Bologna</td>\n",
" <td>Juventus</td>\n",
" </tr>\n",
" <tr>\n",
" <th>379</th>\n",
" <td>38</td>\n",
" <td>Napoli</td>\n",
" <td>Verona</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>380 rows × 3 columns</p>\n",
"</div>"
],
"text/plain": [
" matchday team1 team2\n",
"0 1 Fiorentina Torino\n",
"1 1 Verona Roma\n",
"2 1 Parma Napoli\n",
"3 1 Genoa Crotone\n",
"4 1 Sassuolo Cagliari\n",
".. ... ... ...\n",
"375 38 Sassuolo Lazio\n",
"376 38 Atalanta Milan\n",
"377 38 Torino Benevento\n",
"378 38 Bologna Juventus\n",
"379 38 Napoli Verona\n",
"\n",
"[380 rows x 3 columns]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cal_df = pd.read_excel('fantacalcio/season2021/seriea_calendar.xlsx')\n",
"\n",
"to_drop = list()\n",
"\n",
"for i in range(cal_df.shape[0]):\n",
" if(not isinstance(cal_df['matchday'][i], int)):\n",
" to_drop.append(i)\n",
" \n",
"cal_df = cal_df.drop(to_drop)\n",
"\n",
"cal_df = cal_df.reset_index(drop = True)\n",
"\n",
"cal_df"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "6d5d4101",
"metadata": {},
"outputs": [],
"source": [
"df = pd.DataFrame(columns = ['matchday', 'player', 'team', 'oppteam', 'home', 'vote', 'goals', 'assists', 'cards_malus', 'fantavote'])\n",
"\n",
"LAST_MATCH = 38\n",
"\n",
"for matchday in range(1, LAST_MATCH + 1):\n",
" \n",
" votes_file = 'fantacalcio/season2021/voti/Voti_Fantacalcio_Stagione_2020_21_Giornata_' + str(matchday) + '.xlsx'\n",
"\n",
"\n",
"\n",
"\n",
" rx = np.array(pd.read_excel(votes_file, header = None))\n",
"\n",
" read = 0\n",
" for i in range(rx.shape[0]):\n",
" if(rx[i, 0] == \"Cod.\"):\n",
" read = 1\n",
" team = rx[i-1, 0];\n",
" continue\n",
"\n",
" if(read):\n",
" if(isinstance(rx[i, 0], int)):\n",
" if((isinstance(rx[i, 3], float) or isinstance(rx[i, 3], int)) and rx[i, 1] != \"ALL\") :\n",
" player = rx[i, 2];\n",
" vote = float(rx[i, 3])\n",
" goals = rx[i, 4] + rx[i, 8] - rx[i, 5]\n",
" assists = rx[i, 12]\n",
" cards_malus = rx[i, 10] * 0.5 + rx[i, 11]\n",
" \n",
" oppteam = ''\n",
" home = 0\n",
" for j in range(cal_df.shape[0]):\n",
" if(cal_df['matchday'][j] == matchday):\n",
" if(cal_df['team1'][j] == team):\n",
" oppteam = cal_df['team2'][j] \n",
" home = 1\n",
" elif(cal_df['team2'][j] == team):\n",
" oppteam = cal_df['team1'][j] \n",
" home = 0\n",
"\n",
" goals_gen = goals * 3;\n",
" if(goals < 0):\n",
" goals_gen = goals\n",
" \n",
" fantavote = vote + goals_gen + assists - cards_malus \n",
" \n",
" frame = pd.DataFrame([[matchday, player, team, oppteam, home, vote, goals, assists, cards_malus, fantavote]], columns = df.columns)\n",
"\n",
" df = pd.concat([df, frame], axis = 0, ignore_index = True)\n",
" else:\n",
" read = 0\n",
" continue\n",
"\n",
" df"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "0a4bbffd",
"metadata": {},
"outputs": [],
"source": [
"df.to_excel('mid_outputs/season2021/players_votes.xlsx')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "48a341c2",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.9.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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