Spaces:
Running
Running
James McCool
commited on
Commit
·
9dcce38
1
Parent(s):
9bc6a1f
Update column renaming in load_overall_stats function in app.py: change 'DK_ID' and 'FD_ID' to 'player_ID' for improved clarity and consistency in data handling for WNBA league exports.
Browse files
app.py
CHANGED
@@ -78,7 +78,7 @@ def load_overall_stats(league: str):
|
|
78 |
'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
|
79 |
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
|
80 |
elif league == 'WNBA':
|
81 |
-
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "DK_Proj": "Median", "DK_ID": "
|
82 |
raw_display = raw_display.loc[raw_display['Median'] > 0]
|
83 |
raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
|
84 |
dk_raw = raw_display.sort_values(by='Median', ascending=False)
|
@@ -95,7 +95,7 @@ def load_overall_stats(league: str):
|
|
95 |
'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
|
96 |
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
|
97 |
elif league == 'WNBA':
|
98 |
-
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "FD_Proj": "Median", "FD_ID": "
|
99 |
raw_display = raw_display.loc[raw_display['Median'] > 0]
|
100 |
raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
|
101 |
fd_raw = raw_display.sort_values(by='Median', ascending=False)
|
@@ -112,7 +112,7 @@ def load_overall_stats(league: str):
|
|
112 |
'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
|
113 |
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
|
114 |
elif league == 'WNBA':
|
115 |
-
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "DK_Proj": "Median", "DK_ID": "
|
116 |
raw_display = raw_display.loc[raw_display['Median'] > 0]
|
117 |
raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
|
118 |
dk_raw_sec = raw_display.sort_values(by='Median', ascending=False)
|
@@ -129,7 +129,7 @@ def load_overall_stats(league: str):
|
|
129 |
'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
|
130 |
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
|
131 |
elif league == 'WNBA':
|
132 |
-
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "FD_Proj": "Median", "FD_ID": "
|
133 |
raw_display = raw_display.loc[raw_display['Median'] > 0]
|
134 |
raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
|
135 |
fd_raw_sec = raw_display.sort_values(by='Median', ascending=False)
|
|
|
78 |
'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
|
79 |
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
|
80 |
elif league == 'WNBA':
|
81 |
+
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "DK_Proj": "Median", "DK_ID": "player_ID", "DK_Pos": "Position", "DK_Salary": "Salary", "DK_Own": "Own"})
|
82 |
raw_display = raw_display.loc[raw_display['Median'] > 0]
|
83 |
raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
|
84 |
dk_raw = raw_display.sort_values(by='Median', ascending=False)
|
|
|
95 |
'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
|
96 |
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
|
97 |
elif league == 'WNBA':
|
98 |
+
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "FD_Proj": "Median", "FD_ID": "player_ID", "FD_Pos": "Position", "FD_Salary": "Salary", "FD_Own": "Own"})
|
99 |
raw_display = raw_display.loc[raw_display['Median'] > 0]
|
100 |
raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
|
101 |
fd_raw = raw_display.sort_values(by='Median', ascending=False)
|
|
|
112 |
'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
|
113 |
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
|
114 |
elif league == 'WNBA':
|
115 |
+
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "DK_Proj": "Median", "DK_ID": "player_ID", "DK_Pos": "Position", "DK_Salary": "Salary", "DK_Own": "Own"})
|
116 |
raw_display = raw_display.loc[raw_display['Median'] > 0]
|
117 |
raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
|
118 |
dk_raw_sec = raw_display.sort_values(by='Median', ascending=False)
|
|
|
129 |
'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
|
130 |
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
|
131 |
elif league == 'WNBA':
|
132 |
+
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "FD_Proj": "Median", "FD_ID": "player_ID", "FD_Pos": "Position", "FD_Salary": "Salary", "FD_Own": "Own"})
|
133 |
raw_display = raw_display.loc[raw_display['Median'] > 0]
|
134 |
raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
|
135 |
fd_raw_sec = raw_display.sort_values(by='Median', ascending=False)
|