Spaces:
Running
Running
James McCool
commited on
Commit
·
db0a705
1
Parent(s):
f135d43
Add robust numeric type conversion for prop calculations to prevent data errors
Browse filesModify prop calculation logic in multiple tabs to use pd.to_numeric() with 'coerce' parameter, ensuring safe numeric conversion and preventing potential runtime errors when processing player prop data
app.py
CHANGED
|
@@ -366,25 +366,25 @@ with tab5:
|
|
| 366 |
player_var = player_var.reset_index()
|
| 367 |
|
| 368 |
if prop_type_var == 'points':
|
| 369 |
-
df['Median'] = df['Points']
|
| 370 |
elif prop_type_var == 'threes':
|
| 371 |
-
df['Median'] = df['3P']
|
| 372 |
elif prop_type_var == 'rebounds':
|
| 373 |
-
df['Median'] = df['Rebounds']
|
| 374 |
elif prop_type_var == 'assists':
|
| 375 |
-
df['Median'] = df['Assists']
|
| 376 |
elif prop_type_var == 'blocks':
|
| 377 |
-
df['Median'] = df['Blocks']
|
| 378 |
elif prop_type_var == 'steals':
|
| 379 |
-
df['Median'] = df['Steals']
|
| 380 |
elif prop_type_var == 'PRA':
|
| 381 |
-
df['Median'] = df['Points'] + df['Rebounds'] + df['Assists']
|
| 382 |
elif prop_type_var == 'points+rebounds':
|
| 383 |
-
df['Median'] = df['Points'] + df['Rebounds']
|
| 384 |
elif prop_type_var == 'points+assists':
|
| 385 |
-
df['Median'] = df['Points'] + df['Assists']
|
| 386 |
elif prop_type_var == 'rebounds+assists':
|
| 387 |
-
df['Median'] = df['Assists'] + df['Rebounds']
|
| 388 |
|
| 389 |
flex_file = df
|
| 390 |
flex_file['Floor'] = (flex_file['Median'] * .25) + (flex_file['Minutes'] * .25)
|
|
@@ -544,21 +544,21 @@ with tab6:
|
|
| 544 |
df.replace("", 0, inplace=True)
|
| 545 |
|
| 546 |
if prop == "NBA_GAME_PLAYER_POINTS" or prop == "Points":
|
| 547 |
-
df['Median'] = df['Points']
|
| 548 |
elif prop == "NBA_GAME_PLAYER_REBOUNDS" or prop == "Rebounds":
|
| 549 |
-
df['Median'] = df['Rebounds']
|
| 550 |
elif prop == "NBA_GAME_PLAYER_ASSISTS" or prop == "Assists":
|
| 551 |
-
df['Median'] = df['Assists']
|
| 552 |
elif prop == "NBA_GAME_PLAYER_3_POINTERS_MADE" or prop == "3-Pointers Made":
|
| 553 |
-
df['Median'] = df['3P']
|
| 554 |
elif prop == "NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS" or prop == "Points + Assists + Rebounds":
|
| 555 |
-
df['Median'] = df['Points'] + df['Rebounds'] + df['Assists']
|
| 556 |
elif prop == "NBA_GAME_PLAYER_POINTS_REBOUNDS" or prop == "Points + Rebounds":
|
| 557 |
-
df['Median'] = df['Points'] + df['Rebounds']
|
| 558 |
elif prop == "NBA_GAME_PLAYER_POINTS_ASSISTS" or prop == "Points + Assists":
|
| 559 |
-
df['Median'] = df['Points'] + df['Assists']
|
| 560 |
elif prop == "NBA_GAME_PLAYER_REBOUNDS_ASSISTS" or prop == "Assists + Rebounds":
|
| 561 |
-
df['Median'] = df['Rebounds'] + df['Assists']
|
| 562 |
|
| 563 |
flex_file = df.copy()
|
| 564 |
flex_file['Floor'] = flex_file['Median'] * .25
|
|
@@ -698,21 +698,21 @@ with tab6:
|
|
| 698 |
df.replace("", 0, inplace=True)
|
| 699 |
|
| 700 |
if prop_type_var == "NBA_GAME_PLAYER_POINTS" or prop_type_var == "Points":
|
| 701 |
-
df['Median'] = df['Points']
|
| 702 |
elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS" or prop_type_var == "Rebounds":
|
| 703 |
-
df['Median'] = df['Rebounds']
|
| 704 |
elif prop_type_var == "NBA_GAME_PLAYER_ASSISTS" or prop_type_var == "Assists":
|
| 705 |
-
df['Median'] = df['Assists']
|
| 706 |
elif prop_type_var == "NBA_GAME_PLAYER_3_POINTERS_MADE" or prop_type_var == "3-Pointers Made":
|
| 707 |
-
df['Median'] = df['3P']
|
| 708 |
elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS" or prop_type_var == "Points + Assists + Rebounds":
|
| 709 |
-
df['Median'] = df['Points'] + df['Rebounds'] + df['Assists']
|
| 710 |
elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS" or prop_type_var == "Points + Rebounds":
|
| 711 |
-
df['Median'] = df['Points'] + df['Rebounds']
|
| 712 |
elif prop_type_var == "NBA_GAME_PLAYER_POINTS_ASSISTS" or prop_type_var == "Points + Assists":
|
| 713 |
-
df['Median'] = df['Points'] + df['Assists']
|
| 714 |
elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS_ASSISTS" or prop_type_var == "Assists + Rebounds":
|
| 715 |
-
df['Median'] = df['Rebounds'] + df['Assists']
|
| 716 |
|
| 717 |
flex_file = df.copy()
|
| 718 |
flex_file['Floor'] = flex_file['Median'] * .25
|
|
|
|
| 366 |
player_var = player_var.reset_index()
|
| 367 |
|
| 368 |
if prop_type_var == 'points':
|
| 369 |
+
df['Median'] = pd.to_numeric(df['Points'], errors='coerce')
|
| 370 |
elif prop_type_var == 'threes':
|
| 371 |
+
df['Median'] = pd.to_numeric(df['3P'], errors='coerce')
|
| 372 |
elif prop_type_var == 'rebounds':
|
| 373 |
+
df['Median'] = pd.to_numeric(df['Rebounds'], errors='coerce')
|
| 374 |
elif prop_type_var == 'assists':
|
| 375 |
+
df['Median'] = pd.to_numeric(df['Assists'], errors='coerce')
|
| 376 |
elif prop_type_var == 'blocks':
|
| 377 |
+
df['Median'] = pd.to_numeric(df['Blocks'], errors='coerce')
|
| 378 |
elif prop_type_var == 'steals':
|
| 379 |
+
df['Median'] = pd.to_numeric(df['Steals'], errors='coerce')
|
| 380 |
elif prop_type_var == 'PRA':
|
| 381 |
+
df['Median'] = pd.to_numeric(df['Points'], errors='coerce') + pd.to_numeric(df['Rebounds'], errors='coerce') + pd.to_numeric(df['Assists'], errors='coerce')
|
| 382 |
elif prop_type_var == 'points+rebounds':
|
| 383 |
+
df['Median'] = pd.to_numeric(df['Points'], errors='coerce') + pd.to_numeric(df['Rebounds'], errors='coerce')
|
| 384 |
elif prop_type_var == 'points+assists':
|
| 385 |
+
df['Median'] = pd.to_numeric(df['Points'], errors='coerce') + pd.to_numeric(df['Assists'], errors='coerce')
|
| 386 |
elif prop_type_var == 'rebounds+assists':
|
| 387 |
+
df['Median'] = pd.to_numeric(df['Assists'], errors='coerce') + pd.to_numeric(df['Rebounds'], errors='coerce')
|
| 388 |
|
| 389 |
flex_file = df
|
| 390 |
flex_file['Floor'] = (flex_file['Median'] * .25) + (flex_file['Minutes'] * .25)
|
|
|
|
| 544 |
df.replace("", 0, inplace=True)
|
| 545 |
|
| 546 |
if prop == "NBA_GAME_PLAYER_POINTS" or prop == "Points":
|
| 547 |
+
df['Median'] = pd.to_numeric(df['Points'], errors='coerce')
|
| 548 |
elif prop == "NBA_GAME_PLAYER_REBOUNDS" or prop == "Rebounds":
|
| 549 |
+
df['Median'] = pd.to_numeric(df['Rebounds'], errors='coerce')
|
| 550 |
elif prop == "NBA_GAME_PLAYER_ASSISTS" or prop == "Assists":
|
| 551 |
+
df['Median'] = pd.to_numeric(df['Assists'], errors='coerce')
|
| 552 |
elif prop == "NBA_GAME_PLAYER_3_POINTERS_MADE" or prop == "3-Pointers Made":
|
| 553 |
+
df['Median'] = pd.to_numeric(df['3P'], errors='coerce')
|
| 554 |
elif prop == "NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS" or prop == "Points + Assists + Rebounds":
|
| 555 |
+
df['Median'] = pd.to_numeric(df['Points'], errors='coerce') + pd.to_numeric(df['Rebounds'], errors='coerce') + pd.to_numeric(df['Assists'], errors='coerce')
|
| 556 |
elif prop == "NBA_GAME_PLAYER_POINTS_REBOUNDS" or prop == "Points + Rebounds":
|
| 557 |
+
df['Median'] = pd.to_numeric(df['Points'], errors='coerce') + pd.to_numeric(df['Rebounds'], errors='coerce')
|
| 558 |
elif prop == "NBA_GAME_PLAYER_POINTS_ASSISTS" or prop == "Points + Assists":
|
| 559 |
+
df['Median'] = pd.to_numeric(df['Points'], errors='coerce') + pd.to_numeric(df['Assists'], errors='coerce')
|
| 560 |
elif prop == "NBA_GAME_PLAYER_REBOUNDS_ASSISTS" or prop == "Assists + Rebounds":
|
| 561 |
+
df['Median'] = pd.to_numeric(df['Rebounds'], errors='coerce') + pd.to_numeric(df['Assists'], errors='coerce')
|
| 562 |
|
| 563 |
flex_file = df.copy()
|
| 564 |
flex_file['Floor'] = flex_file['Median'] * .25
|
|
|
|
| 698 |
df.replace("", 0, inplace=True)
|
| 699 |
|
| 700 |
if prop_type_var == "NBA_GAME_PLAYER_POINTS" or prop_type_var == "Points":
|
| 701 |
+
df['Median'] = pd.to_numeric(df['Points'], errors='coerce')
|
| 702 |
elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS" or prop_type_var == "Rebounds":
|
| 703 |
+
df['Median'] = pd.to_numeric(df['Rebounds'], errors='coerce')
|
| 704 |
elif prop_type_var == "NBA_GAME_PLAYER_ASSISTS" or prop_type_var == "Assists":
|
| 705 |
+
df['Median'] = pd.to_numeric(df['Assists'], errors='coerce')
|
| 706 |
elif prop_type_var == "NBA_GAME_PLAYER_3_POINTERS_MADE" or prop_type_var == "3-Pointers Made":
|
| 707 |
+
df['Median'] = pd.to_numeric(df['3P'], errors='coerce')
|
| 708 |
elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS" or prop_type_var == "Points + Assists + Rebounds":
|
| 709 |
+
df['Median'] = pd.to_numeric(df['Points'], errors='coerce') + pd.to_numeric(df['Rebounds'], errors='coerce') + pd.to_numeric(df['Assists'], errors='coerce')
|
| 710 |
elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS" or prop_type_var == "Points + Rebounds":
|
| 711 |
+
df['Median'] = pd.to_numeric(df['Points'], errors='coerce') + pd.to_numeric(df['Rebounds'], errors='coerce')
|
| 712 |
elif prop_type_var == "NBA_GAME_PLAYER_POINTS_ASSISTS" or prop_type_var == "Points + Assists":
|
| 713 |
+
df['Median'] = pd.to_numeric(df['Points'], errors='coerce') + pd.to_numeric(df['Assists'], errors='coerce')
|
| 714 |
elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS_ASSISTS" or prop_type_var == "Assists + Rebounds":
|
| 715 |
+
df['Median'] = pd.to_numeric(df['Rebounds'], errors='coerce') + pd.to_numeric(df['Assists'], errors='coerce')
|
| 716 |
|
| 717 |
flex_file = df.copy()
|
| 718 |
flex_file['Floor'] = flex_file['Median'] * .25
|