Dalyn_NHL_Betting_Models

Runtime error

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Multichem commited on Jan 18, 2024

Commit

1cde72c

verified ·

1 Parent(s): 7dd5e48

Update app.py

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Files changed (1) hide show

app.py +4 -0

app.py CHANGED Viewed

@@ -239,6 +239,7 @@ with tab3:
                                 st.table(prop_df)
                                 prop_df['Over'] = np.where(prop_df['over_line'] < 0, (-(prop_df['over_line'])/((-(prop_df['over_line']))+101)), 101/(prop_df['over_line']+101))
                                 prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
                                 df = pd.merge(prop_display, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
                             elif prop_type_var == "points":
                                 prop_df = prop_trends[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
@@ -249,6 +250,7 @@ with tab3:
                                 st.table(prop_df)
                                 prop_df['Over'] = np.where(prop_df['over_line'] < 0, (-(prop_df['over_line'])/((-(prop_df['over_line']))+101)), 101/(prop_df['over_line']+101))
                                 prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
                                 df = pd.merge(prop_display, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
                             elif prop_type_var == "assists":
                                 prop_df = prop_trends[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
@@ -259,6 +261,7 @@ with tab3:
                                 st.table(prop_df)
                                 prop_df['Over'] = np.where(prop_df['over_line'] < 0, (-(prop_df['over_line'])/((-(prop_df['over_line']))+101)), 101/(prop_df['over_line']+101))
                                 prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
                                 df = pd.merge(prop_display, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
                             elif prop_type_var == "blocked_shots":
                                 prop_df = prop_trends[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
@@ -269,6 +272,7 @@ with tab3:
                                 st.table(prop_df)
                                 prop_df['Over'] = np.where(prop_df['over_line'] < 0, (-(prop_df['over_line'])/((-(prop_df['over_line']))+101)), 101/(prop_df['over_line']+101))
                                 prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
                                 df = pd.merge(prop_display, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
                             prop_dict = dict(zip(df.Player, df.Prop))

                                 st.table(prop_df)
                                 prop_df['Over'] = np.where(prop_df['over_line'] < 0, (-(prop_df['over_line'])/((-(prop_df['over_line']))+101)), 101/(prop_df['over_line']+101))
                                 prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
+                                prop = prop_df['prop_type']
                                 df = pd.merge(prop_display, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
                             elif prop_type_var == "points":
                                 prop_df = prop_trends[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
                                 st.table(prop_df)
                                 prop_df['Over'] = np.where(prop_df['over_line'] < 0, (-(prop_df['over_line'])/((-(prop_df['over_line']))+101)), 101/(prop_df['over_line']+101))
                                 prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
+                                prop = prop_df['prop_type']
                                 df = pd.merge(prop_display, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
                             elif prop_type_var == "assists":
                                 prop_df = prop_trends[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
                                 st.table(prop_df)
                                 prop_df['Over'] = np.where(prop_df['over_line'] < 0, (-(prop_df['over_line'])/((-(prop_df['over_line']))+101)), 101/(prop_df['over_line']+101))
                                 prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
+                                prop = prop_df['prop_type']
                                 df = pd.merge(prop_display, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
                             elif prop_type_var == "blocked_shots":
                                 prop_df = prop_trends[['Player', 'over_prop', 'over_line', 'under_line', 'prop_type']]
                                 st.table(prop_df)
                                 prop_df['Over'] = np.where(prop_df['over_line'] < 0, (-(prop_df['over_line'])/((-(prop_df['over_line']))+101)), 101/(prop_df['over_line']+101))
                                 prop_df['Under'] = np.where(prop_df['under_line'] < 0, (-(prop_df['under_line'])/((-(prop_df['under_line']))+101)), 101/(prop_df['under_line']+101))
+                                prop = prop_df['prop_type']
                                 df = pd.merge(prop_display, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
                             prop_dict = dict(zip(df.Player, df.Prop))