Spaces:
Running
Running
James McCool
commited on
Commit
·
830b46e
1
Parent(s):
2b53a5b
resetting indexing to try to fix the pick6 match issue
Browse files
app.py
CHANGED
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@@ -431,7 +431,7 @@ with tab5:
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prop_df['Over'] = 1 / prop_df['over_line']
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prop_df['Under'] = 1 / prop_df['under_line']
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df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
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-
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st.table(df)
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prop_dict = dict(zip(df.Player, df.Prop))
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@@ -463,7 +463,7 @@ with tab5:
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st.write(prop)
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flex_file = df
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flex_file['Floor'] = flex_file['Median'] * .25
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flex_file['Ceiling'] = flex_file['Median'] + (flex_file['Median'] * 1.75)
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flex_file['STD'] = flex_file['Median'] / 4
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@@ -572,6 +572,7 @@ with tab5:
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prop_df['Over'] = 1 / prop_df['over_line']
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prop_df['Under'] = 1 / prop_df['under_line']
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df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
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prop_dict = dict(zip(df.Player, df.Prop))
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book_dict = dict(zip(df.Player, df.book))
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@@ -600,7 +601,7 @@ with tab5:
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elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS_ASSISTS" or prop_type_var == "Assists + Rebounds":
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df['Median'] = df['Rebounds'] + df['Assists']
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-
flex_file = df
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flex_file['Floor'] = flex_file['Median'] * .25
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flex_file['Ceiling'] = flex_file['Median'] + (flex_file['Median'] * 1.75)
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flex_file['STD'] = flex_file['Median'] / 4
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prop_df['Over'] = 1 / prop_df['over_line']
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prop_df['Under'] = 1 / prop_df['under_line']
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df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
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+
df = df.reset_index(drop=True)
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st.table(df)
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prop_dict = dict(zip(df.Player, df.Prop))
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st.write(prop)
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flex_file = df.copy()
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flex_file['Floor'] = flex_file['Median'] * .25
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flex_file['Ceiling'] = flex_file['Median'] + (flex_file['Median'] * 1.75)
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flex_file['STD'] = flex_file['Median'] / 4
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prop_df['Over'] = 1 / prop_df['over_line']
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prop_df['Under'] = 1 / prop_df['under_line']
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df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
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df = df.reset_index(drop=True)
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prop_dict = dict(zip(df.Player, df.Prop))
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book_dict = dict(zip(df.Player, df.book))
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elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS_ASSISTS" or prop_type_var == "Assists + Rebounds":
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df['Median'] = df['Rebounds'] + df['Assists']
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flex_file = df.copy()
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flex_file['Floor'] = flex_file['Median'] * .25
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flex_file['Ceiling'] = flex_file['Median'] + (flex_file['Median'] * 1.75)
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flex_file['STD'] = flex_file['Median'] / 4
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