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Update app.py
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app.py
CHANGED
@@ -31,8 +31,8 @@ game_format = {'Win Percentage': '{:.2%}','First Inning Lead Percentage': '{:.2%
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team_roo_format = {'Top Score%': '{:.2%}','0 Runs': '{:.2%}', '1 Run': '{:.2%}', '2 Runs': '{:.2%}', '3 Runs': '{:.2%}', '4 Runs': '{:.2%}',
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'5 Runs': '{:.2%}','6 Runs': '{:.2%}', '7 Runs': '{:.2%}', '8 Runs': '{:.2%}', '9 Runs': '{:.2%}', '10 Runs': '{:.2%}'}
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wrong_acro = ['WSH', 'AZ']
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right_acro = ['WAS', 'ARI']
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dk_player_projections = 'https://docs.google.com/spreadsheets/d/1MdzPFqIT0MFid2IhegWf39VNR8IXUyo_Fb5dolOSt3o/edit#gid=340831852'
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fd_player_projections = 'https://docs.google.com/spreadsheets/d/1MdzPFqIT0MFid2IhegWf39VNR8IXUyo_Fb5dolOSt3o/edit#gid=340831852'
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@@ -78,6 +78,7 @@ def load_dk_player_projections(URL):
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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raw_display = load_display.dropna(subset=['Median'])
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return raw_display
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@@ -88,6 +89,7 @@ def load_fd_player_projections(URL):
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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raw_display = load_display.dropna(subset=['Median'])
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return raw_display
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team_roo_format = {'Top Score%': '{:.2%}','0 Runs': '{:.2%}', '1 Run': '{:.2%}', '2 Runs': '{:.2%}', '3 Runs': '{:.2%}', '4 Runs': '{:.2%}',
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'5 Runs': '{:.2%}','6 Runs': '{:.2%}', '7 Runs': '{:.2%}', '8 Runs': '{:.2%}', '9 Runs': '{:.2%}', '10 Runs': '{:.2%}'}
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wrong_acro = ['WSH', 'AZ', 'CHW']
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right_acro = ['WAS', 'ARI', 'CWS']
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dk_player_projections = 'https://docs.google.com/spreadsheets/d/1MdzPFqIT0MFid2IhegWf39VNR8IXUyo_Fb5dolOSt3o/edit#gid=340831852'
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fd_player_projections = 'https://docs.google.com/spreadsheets/d/1MdzPFqIT0MFid2IhegWf39VNR8IXUyo_Fb5dolOSt3o/edit#gid=340831852'
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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raw_display = load_display.dropna(subset=['Median'])
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raw_display = raw_display.dropna()
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return raw_display
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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raw_display = load_display.dropna(subset=['Median'])
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raw_display = raw_display.dropna()
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return raw_display
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