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[FotMob] Get correct team match stats using 'opponent_stats' parameter #541

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Apr 18, 2024
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[FotMob] Get correct team match stats using 'opponent_stats' parameter #541

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10 changes: 3 additions & 7 deletions soccerdata/fotmob.py
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Original file line number Diff line number Diff line change
Expand Up @@ -409,27 +409,23 @@ def read_team_match_stats( # noqa: C901

df_raw_stats = pd.DataFrame(selected_stats['stats'])
game_teams = [game.home_team, game.away_team]
if opponent_stats:
game_teams = [game.away_team, game.home_team]
for i, team in enumerate(game_teams):
df_team_stats = df_raw_stats.copy()
df_team_stats['stat'] = df_team_stats['stats'].apply(lambda x: x[i]) # noqa: B023
df_team_stats["league"] = lkey
df_team_stats["season"] = skey
df_team_stats["game"] = gkey
df_team_stats['team'] = team
if not opponent_stats:
df_team_stats = df_team_stats[df_team_stats.team.isin(teams_to_check)]
df_team_stats.set_index(['league', 'season', 'game', 'team'], inplace=True)
df_team_stats = df_team_stats[df_team_stats['type'] != 'title']
df_team_stats = df_team_stats.pivot(columns='title', values='stat').reset_index()
df_team_stats.columns.name = None
stats.append(df_team_stats)

df = pd.concat(stats, axis=0)
df = (
df[df.team.isin(teams_to_check)]
.set_index(['league', 'season', 'game', 'team'])
.sort_index()
)
df = df.set_index(['league', 'season', 'game', 'team']).sort_index()
# Split percentage values
pct_cols = [col for col in df.columns if df[col].astype(str).str.contains('%').any()]
for col in pct_cols:
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