Update app.py

app.py

@@ -1,3 +1,45 @@
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+NBA_Gamelogs
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+NBA_Gamelogs
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+app.py
+Multichem's picture
+Multichem
+Update app.py
+0edd0c1
+17 minutes ago
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+23.1 kB
 import streamlit as st
 st.set_page_config(layout="wide")
 
@@ -46,7 +88,7 @@ def init_baselines():
     raw_display = raw_display[1:]
     raw_display = raw_display.reset_index(drop=True)
     gamelog_table = raw_display[raw_display['PLAYER_NAME'] != ""]
-    gamelog_table = gamelog_table[['PLAYER_NAME', 'TEAM_NAME', 'OPP_NAME', 'SEASON_ID', 'GAME_DATE', 'MATCHUP', 'MIN', 'touches', 'PTS', 'FGM', 'FGA', 'FG_PCT', 'FG3M', 'FG3A',
+    gamelog_table = gamelog_table[['PLAYER_NAME', 'POS', 'TEAM_NAME', 'OPP_NAME', 'SEASON_ID', 'GAME_DATE', 'MATCHUP', 'MIN', 'touches', 'PTS', 'FGM', 'FGA', 'FG_PCT', 'FG3M', 'FG3A',
                                    'FG3_PCT', 'FTM', 'FTA', 'FT_PCT', 'reboundChancesOffensive', 'OREB', 'reboundChancesDefensive', 'DREB', 'reboundChancesTotal', 'REB',
                                    'passes', 'secondaryAssists', 'freeThrowAssists', 'assists', 'STL', 'BLK', 'TOV', 'PF', 'DD', 'TD', 'Fantasy', 'FD_Fantasy']]
     gamelog_table['assists'].replace("", 0, inplace=True)
@@ -66,11 +108,11 @@ def init_baselines():
     gamelog_table['assists_per_pass'] = gamelog_table['assists'] / gamelog_table['passes']
     gamelog_table['Fantasy_per_touch'] = gamelog_table['Fantasy'] / gamelog_table['touches']
     gamelog_table['FD_Fantasy_per_touch'] = gamelog_table['FD_Fantasy'] / gamelog_table['touches']
-    data_cols = gamelog_table.columns.drop(['PLAYER_NAME', 'TEAM_NAME', 'OPP_NAME', 'SEASON_ID', 'GAME_DATE', 'MATCHUP'])
+    data_cols = gamelog_table.columns.drop(['PLAYER_NAME', 'POS', 'TEAM_NAME', 'OPP_NAME', 'SEASON_ID', 'GAME_DATE', 'MATCHUP'])
     gamelog_table[data_cols] = gamelog_table[data_cols].apply(pd.to_numeric, errors='coerce')
     gamelog_table['GAME_DATE'] = pd.to_datetime(gamelog_table['GAME_DATE']).dt.date
     
-    gamelog_table = gamelog_table.set_axis(['Player', 'Team', 'Opp', 'Season', 'Date', 'Matchup', 'Min', 'Touches', 'Pts', 'FGM', 'FGA', 'FG%', 'FG3M', 'FG3A',
+    gamelog_table = gamelog_table.set_axis(['Player', 'Pos', 'Team', 'Opp', 'Season', 'Date', 'Matchup', 'Min', 'Touches', 'Pts', 'FGM', 'FGA', 'FG%', 'FG3M', 'FG3A',
                                             'FG3%', 'FTM', 'FTA', 'FT%', 'OREB Chance', 'OREB', 'DREB Chance', 'DREB', 'REB Chance', 'REB',
                                             'Passes', 'Alt Assists', 'FT Assists', 'Assists', 'Stl', 'Blk', 'Tov', 'PF', 'DD', 'TD', 'Fantasy', 'FD_Fantasy',
                                             'Rebound%', 'Assists/Pass', 'Fantasy/Touch', 'FD Fantasy/Touch'], axis=1)
@@ -79,7 +121,7 @@ def init_baselines():
 
 @st.cache_data(show_spinner=False)
 def seasonlong_build(data_sample):
-    season_long_table = data_sample[['Player', 'Team']]
+    season_long_table = data_sample[['Player', 'Pos', 'Team']]
     season_long_table['Min'] = data_sample.groupby(['Player', 'Season'], sort=False)['Min'].transform('mean').astype(float)
     season_long_table['Touches'] = data_sample.groupby(['Player', 'Season'], sort=False)['Touches'].transform('mean').astype(float)
     season_long_table['Pts'] = data_sample.groupby(['Player', 'Season'], sort=False)['Pts'].transform('mean').astype(float)
@@ -125,7 +167,7 @@ def seasonlong_build(data_sample):
 
     season_long_table = season_long_table.sort_values(by='Fantasy', ascending=False)
     
-    season_long_table = season_long_table.set_axis(['Player', 'Team', 'Min', 'Touches', 'Pts', 'FGM', 'FGA', 'FG%', 'FG3M', 'FG3A',
+    season_long_table = season_long_table.set_axis(['Player', 'Pos', 'Team', 'Min', 'Touches', 'Pts', 'FGM', 'FGA', 'FG%', 'FG3M', 'FG3A',
                                                     'FG3%', 'FTM', 'FTA', 'FT%', 'OREB Chance', 'OREB', 'DREB Chance', 'DREB', 'REB Chance', 'REB',
                                                     'Passes', 'Alt Assists', 'FT Assists', 'Assists', 'Stl', 'Blk', 'Tov', 'PF', 'DD', 'TD', 'Fantasy', 'FD_Fantasy',
                                                     'Rebound%', 'Assists/Pass', 'Fantasy/Touch', 'FD Fantasy/Touch'], axis=1)
@@ -329,4 +371,4 @@ with tab2:
                 corr_display = run_fantasy_corr(gamelog_table)
             elif corr_var == 'Minutes':
                 corr_display = run_min_corr(gamelog_table)
-            display.dataframe(corr_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+            display.dataframe(corr_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)