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Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
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@@ -132,11 +132,12 @@ with tab1:
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DK_seed_parse = DK_seed_parse[DK_seed_parse['Team_count'].isin(stack_var2)]
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data_export_display = DK_seed_parse.head(1000)
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st.session_state.data_export_display = data_export_display.copy()
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st.session_state.
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st.session_state.
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columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
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st.session_state.data_export_freq['Freq'] = st.session_state.data_export_freq['Freq'].astype(int)
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st.session_state.data_export_freq['Exposure'] = st.session_state.data_export_freq['Freq']/(len(
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if 'data_export' in st.session_state:
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st.download_button(
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@@ -146,23 +147,24 @@ with tab1:
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mime='text/csv',
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)
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with st.container():
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if 'data_export_display' in st.
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st.dataframe(st.session_state.data_export_display.style.format(precision=2), height=500, use_container_width=True)
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with st.container():
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if 'data_export_freq' in st.
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st.dataframe(st.session_state.data_export_freq.style.format(percentages_format, precision=2), height=500, use_container_width=True)
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elif site_var1 == 'Fanduel':
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FD_seed =
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FD_seed_parse = FD_seed[FD_seed['Team'].isin(team_var2)]
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FD_seed_parse = FD_seed_parse[FD_seed_parse['Team_count'].isin(stack_var2)]
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data_export_display =
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st.session_state.data_export_display = data_export_display.copy()
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st.session_state.
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st.session_state.
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columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
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st.session_state.data_export_freq['Freq'] = st.session_state.data_export_freq['Freq'].astype(int)
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st.session_state.data_export_freq['Exposure'] = st.session_state.data_export_freq['Freq']/(len(
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if 'data_export' in st.session_state:
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st.download_button(
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@@ -172,10 +174,10 @@ with tab1:
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mime='text/csv',
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)
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with st.container():
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if 'data_export_display' in st.
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st.dataframe(st.session_state.data_export_display.style.format(precision=2), height=500, use_container_width=True)
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with st.container():
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if 'data_export_freq' in st.
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st.dataframe(st.session_state.data_export_freq.style.format(percentages_format, precision=2), height=500, use_container_width=True)
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with tab2:
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DK_seed_parse = DK_seed_parse[DK_seed_parse['Team_count'].isin(stack_var2)]
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data_export_display = DK_seed_parse.head(1000)
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st.session_state.data_export_display = data_export_display.copy()
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st.session_state.data_export_expo = DK_seed.copy()
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st.session_state.data_export = DK_seed.to_parquet()
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st.session_state.data_export_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.data_export_expo.iloc[:,0:9].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.data_export_freq['Freq'] = st.session_state.data_export_freq['Freq'].astype(int)
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st.session_state.data_export_freq['Exposure'] = st.session_state.data_export_freq['Freq']/(len(st.session_state.data_export_expo['Team']))
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if 'data_export' in st.session_state:
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st.download_button(
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mime='text/csv',
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)
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with st.container():
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if 'data_export_display' in st.session.state:
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st.dataframe(st.session_state.data_export_display.style.format(precision=2), height=500, use_container_width=True)
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with st.container():
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if 'data_export_freq' in st.session.state:
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st.dataframe(st.session_state.data_export_freq.style.format(percentages_format, precision=2), height=500, use_container_width=True)
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elif site_var1 == 'Fanduel':
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FD_seed = init_FD_seed_frame()
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FD_seed_parse = FD_seed[FD_seed['Team'].isin(team_var2)]
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FD_seed_parse = FD_seed_parse[FD_seed_parse['Team_count'].isin(stack_var2)]
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data_export_display = FD_seed_parse.head(1000)
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st.session_state.data_export_display = data_export_display.copy()
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st.session_state.data_export_expo = FD_seed.copy()
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st.session_state.data_export = FD_seed.to_parquet()
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st.session_state.data_export_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.data_export_expo.iloc[:,0:8].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.data_export_freq['Freq'] = st.session_state.data_export_freq['Freq'].astype(int)
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st.session_state.data_export_freq['Exposure'] = st.session_state.data_export_freq['Freq']/(len(st.session_state.data_export_expo['Team']))
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if 'data_export' in st.session_state:
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st.download_button(
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mime='text/csv',
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)
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with st.container():
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if 'data_export_display' in st.session.state:
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st.dataframe(st.session_state.data_export_display.style.format(precision=2), height=500, use_container_width=True)
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with st.container():
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if 'data_export_freq' in st.session.state:
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st.dataframe(st.session_state.data_export_freq.style.format(percentages_format, precision=2), height=500, use_container_width=True)
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with tab2:
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