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Update app.py
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app.py
CHANGED
@@ -381,15 +381,15 @@ with tab6:
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for prop in all_sim_vars:
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if game_select_var == 'Aggregate':
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-
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elif game_select_var == 'Pick6':
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-
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-
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for books in ['FANDUEL', 'DRAFTKINGS', 'BET365', 'CONSENSUS']:
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prop_df = prop_df.loc[prop_df['prop_type'] == prop]
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prop_df = prop_df[~((prop_df['over_prop'] < 10) & (prop_df['prop_type'] == 'NFL_GAME_PLAYER_RUSHING_YARDS'))]
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prop_df = prop_df.loc[prop_df['book'] == books]
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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@@ -481,16 +481,16 @@ with tab6:
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if game_select_var == 'Aggregate':
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-
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elif game_select_var == 'Pick6':
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-
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-
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for books in ['FANDUEL', 'DRAFTKINGS', 'BET365', 'CONSENSUS']:
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if prop_type_var == "pass_yards":
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prop_df = prop_df.loc[prop_df['prop_type'] == 'NFL_GAME_PLAYER_PASSING_YARDS']
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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prop_df = prop_df.loc[prop_df['book'] == books]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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st.table(prop_df)
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@@ -501,7 +501,6 @@ with tab6:
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prop_df = prop_df.loc[prop_df['prop_type'] == 'NFL_GAME_PLAYER_RUSHING_YARDS']
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prop_df = prop_df[~((prop_df['over_prop'] < 10) & (prop_df['prop_type'] == 'NFL_GAME_PLAYER_RUSHING_YARDS'))]
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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-
prop_df = prop_df.loc[prop_df['book'] == books]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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st.table(prop_df)
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@@ -511,7 +510,6 @@ with tab6:
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elif prop_type_var == "rec_yards":
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prop_df = prop_df.loc[prop_df['prop_type'] == 'NFL_GAME_PLAYER_RECEIVING_YARDS']
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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prop_df = prop_df.loc[prop_df['book'] == books]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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st.table(prop_df)
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@@ -521,7 +519,6 @@ with tab6:
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elif prop_type_var == "receptions":
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prop_df = prop_df.loc[prop_df['prop_type'] == 'NFL_GAME_PLAYER_RECEIVING_RECEPTIONS']
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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prop_df = prop_df.loc[prop_df['book'] == books]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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st.table(prop_df)
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@@ -531,7 +528,6 @@ with tab6:
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elif prop_type_var == "rush_attempts":
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prop_df = prop_df.loc[prop_df['prop_type'] == 'NFL_GAME_PLAYER_RUSHING_ATTEMPTS']
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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-
prop_df = prop_df.loc[prop_df['book'] == books]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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st.table(prop_df)
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@@ -541,7 +537,6 @@ with tab6:
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elif prop_type_var == "pass_attempts":
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prop_df = prop_df.loc[prop_df['prop_type'] == 'NFL_GAME_PLAYER_PASSING_ATTEMPTS']
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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prop_df = prop_df.loc[prop_df['book'] == books]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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st.table(prop_df)
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@@ -551,7 +546,6 @@ with tab6:
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elif prop_type_var == "pass_completions":
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prop_df = prop_df.loc[prop_df['prop_type'] == 'NFL_GAME_PLAYER_PASSING_COMPLETIONS']
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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-
prop_df = prop_df.loc[prop_df['book'] == books]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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st.table(prop_df)
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for prop in all_sim_vars:
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if game_select_var == 'Aggregate':
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prop_df_raw = prop_frame[['Player', 'book', 'over_prop', 'over_line', 'under_line', 'prop_type']]
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elif game_select_var == 'Pick6':
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prop_df_raw = pick_frame[['Full_name', 'book', 'over_prop', 'over_line', 'under_line', 'prop_type']]
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prop_df_raw.rename(columns={"Full_name": "Player"}, inplace = True)
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for books in ['FANDUEL', 'DRAFTKINGS', 'BET365', 'CONSENSUS']:
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prop_df = prop_df_raw.loc[prop_df_raw['book'] == books]
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prop_df = prop_df.loc[prop_df['prop_type'] == prop]
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prop_df = prop_df[~((prop_df['over_prop'] < 10) & (prop_df['prop_type'] == 'NFL_GAME_PLAYER_RUSHING_YARDS'))]
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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if game_select_var == 'Aggregate':
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prop_df_raw = prop_frame[['Player', 'book', 'over_prop', 'over_line', 'under_line', 'prop_type']]
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elif game_select_var == 'Pick6':
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prop_df_raw = pick_frame[['Full_name', 'book', 'over_prop', 'over_line', 'under_line', 'prop_type']]
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prop_df_raw.rename(columns={"Full_name": "Player"}, inplace = True)
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for books in ['FANDUEL', 'DRAFTKINGS', 'BET365', 'CONSENSUS']:
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prop_df = prop_df_raw.loc[prop_df_raw['book'] == books]
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if prop_type_var == "pass_yards":
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prop_df = prop_df.loc[prop_df['prop_type'] == 'NFL_GAME_PLAYER_PASSING_YARDS']
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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st.table(prop_df)
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prop_df = prop_df.loc[prop_df['prop_type'] == 'NFL_GAME_PLAYER_RUSHING_YARDS']
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prop_df = prop_df[~((prop_df['over_prop'] < 10) & (prop_df['prop_type'] == 'NFL_GAME_PLAYER_RUSHING_YARDS'))]
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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st.table(prop_df)
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elif prop_type_var == "rec_yards":
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prop_df = prop_df.loc[prop_df['prop_type'] == 'NFL_GAME_PLAYER_RECEIVING_YARDS']
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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st.table(prop_df)
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elif prop_type_var == "receptions":
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prop_df = prop_df.loc[prop_df['prop_type'] == 'NFL_GAME_PLAYER_RECEIVING_RECEPTIONS']
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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st.table(prop_df)
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elif prop_type_var == "rush_attempts":
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prop_df = prop_df.loc[prop_df['prop_type'] == 'NFL_GAME_PLAYER_RUSHING_ATTEMPTS']
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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st.table(prop_df)
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elif prop_type_var == "pass_attempts":
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prop_df = prop_df.loc[prop_df['prop_type'] == 'NFL_GAME_PLAYER_PASSING_ATTEMPTS']
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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st.table(prop_df)
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elif prop_type_var == "pass_completions":
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prop_df = prop_df.loc[prop_df['prop_type'] == 'NFL_GAME_PLAYER_PASSING_COMPLETIONS']
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prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
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prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
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prop_df = prop_df.loc[prop_df['Prop'] != 0]
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st.table(prop_df)
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