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fantabeto/2_votes_dataset_creation.ipynb
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Giuseppe Musicco c4a50cecd2 Update Jan before matchday 20
2023-01-28 11:06:11 +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": 4,
"id": "0d4a330d",
"metadata": {},
"outputs": [],
"source": [
"df = pd.DataFrame(columns = ['matchday', 'player', 'team', 'oppteam', 'home', 'vote', 'goals', 'assists', 'cards_malus', 'fantavote'])\n",
"\n",
"LAST_MATCH = 19\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",
"\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": 5,
"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>5423</th>\n",
" <td>19</td>\n",
" <td>Ilic</td>\n",
" <td>Verona</td>\n",
" <td>Lecce</td>\n",
" <td>1</td>\n",
" <td>7.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0.0</td>\n",
" <td>8.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5424</th>\n",
" <td>19</td>\n",
" <td>Sulemana I.</td>\n",
" <td>Verona</td>\n",
" <td>Lecce</td>\n",
" <td>1</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>5425</th>\n",
" <td>19</td>\n",
" <td>Lasagna</td>\n",
" <td>Verona</td>\n",
" <td>Lecce</td>\n",
" <td>1</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>5426</th>\n",
" <td>19</td>\n",
" <td>Kallon</td>\n",
" <td>Verona</td>\n",
" <td>Lecce</td>\n",
" <td>1</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>5427</th>\n",
" <td>19</td>\n",
" <td>Djuric</td>\n",
" <td>Verona</td>\n",
" <td>Lecce</td>\n",
" <td>1</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>5428 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",
"5423 19 Ilic Verona Lecce 1 7.0 0 1 \n",
"5424 19 Sulemana I. Verona Lecce 1 6.0 0 0 \n",
"5425 19 Lasagna Verona Lecce 1 5.5 0 0 \n",
"5426 19 Kallon Verona Lecce 1 6.0 0 0 \n",
"5427 19 Djuric Verona Lecce 1 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",
"5423 0.0 8.0 \n",
"5424 0.0 6.0 \n",
"5425 0.0 5.5 \n",
"5426 0.0 6.0 \n",
"5427 0.0 6.0 \n",
"\n",
"[5428 rows x 10 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 6,
"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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