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Update app.py
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app.py
CHANGED
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@@ -474,6 +474,7 @@ with tab2:
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columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
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st.session_state.team_freq['Freq'] = st.session_state.team_freq['Freq'].astype(int)
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st.session_state.team_freq['Exposure'] = st.session_state.team_freq['Freq']/(1000)
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if sim_site_var1 == 'Draftkings':
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st.session_state.stack_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,13:14].values, return_counts=True)),
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@@ -483,6 +484,7 @@ with tab2:
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columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
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st.session_state.stack_freq['Freq'] = st.session_state.stack_freq['Freq'].astype(int)
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st.session_state.stack_freq['Exposure'] = st.session_state.stack_freq['Freq']/(1000)
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with st.container():
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st.dataframe(st.session_state.Sim_Winner_Frame)
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@@ -505,7 +507,7 @@ with tab2:
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st.download_button(
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label="Export Exposures",
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data=st.session_state.sp_freq.to_csv().encode('utf-8'),
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file_name='
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mime='text/csv',
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key='sp'
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)
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@@ -515,7 +517,7 @@ with tab2:
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st.download_button(
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label="Export Exposures",
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data=st.session_state.team_freq.to_csv().encode('utf-8'),
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file_name='
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mime='text/csv',
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key='team'
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)
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@@ -525,7 +527,7 @@ with tab2:
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st.download_button(
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label="Export Exposures",
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data=st.session_state.stack_freq.to_csv().encode('utf-8'),
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file_name='
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mime='text/csv',
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key='stack'
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)
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columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
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st.session_state.team_freq['Freq'] = st.session_state.team_freq['Freq'].astype(int)
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st.session_state.team_freq['Exposure'] = st.session_state.team_freq['Freq']/(1000)
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st.session_state.team_freq = st.session_state.team_freq.drop('Freq')
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if sim_site_var1 == 'Draftkings':
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st.session_state.stack_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,13:14].values, return_counts=True)),
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columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
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st.session_state.stack_freq['Freq'] = st.session_state.stack_freq['Freq'].astype(int)
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st.session_state.stack_freq['Exposure'] = st.session_state.stack_freq['Freq']/(1000)
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st.session_state.stack_freq = st.session_state.stack_freq.drop('Freq')
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with st.container():
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st.dataframe(st.session_state.Sim_Winner_Frame)
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st.download_button(
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label="Export Exposures",
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data=st.session_state.sp_freq.to_csv().encode('utf-8'),
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file_name='sp_freq.csv',
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mime='text/csv',
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key='sp'
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)
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st.download_button(
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label="Export Exposures",
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data=st.session_state.team_freq.to_csv().encode('utf-8'),
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file_name='team_freq.csv',
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mime='text/csv',
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key='team'
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)
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st.download_button(
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label="Export Exposures",
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data=st.session_state.stack_freq.to_csv().encode('utf-8'),
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file_name='stack_freq.csv',
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mime='text/csv',
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key='stack'
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)
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