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Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
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@@ -225,9 +225,13 @@ with tab2:
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sim_slate_var1 = st.radio("Which data are you loading?", ('Main Slate', 'Other Main Slate'), key='sim_slate_var1')
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sim_site_var1 = st.radio("What site are you working with?", ('Draftkings', 'Fanduel'), key='sim_site_var1')
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if sim_site_var1 == 'Draftkings':
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raw_baselines = dk_raw
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column_names = dk_columns
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elif sim_site_var1 == 'Fanduel':
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raw_baselines = fd_raw
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column_names = fd_columns
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@@ -341,13 +345,24 @@ with tab2:
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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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-
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with st.container():
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tab1, tab2, tab3, tab4 = st.tabs(['Overall Exposures', 'SP Exposures', 'Team Exposures', 'Stack Size Exposures'])
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with tab1:
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if 'player_freq' in st.session_state:
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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.player_freq.to_csv().encode('utf-8'),
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@@ -357,31 +372,49 @@ with tab2:
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)
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with tab2:
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if 'sp_freq' in st.session_state:
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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.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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with tab3:
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if 'team_freq' in st.session_state:
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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='
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mime='text/csv',
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key='team'
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)
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with tab4:
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if 'stack_freq' in st.session_state:
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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='
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mime='text/csv',
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key='stack'
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)
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@@ -486,6 +519,7 @@ with tab2:
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tab1, tab2, tab3, tab4 = st.tabs(['Overall Exposures', 'SP Exposures', 'Team Exposures', 'Stack Size Exposures'])
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with tab1:
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if 'player_freq' in st.session_state:
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try:
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st.dataframe(st.session_state.player_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
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except:
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@@ -501,6 +535,7 @@ with tab2:
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)
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with tab2:
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if 'sp_freq' in st.session_state:
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try:
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st.dataframe(st.session_state.sp_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
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except:
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@@ -516,6 +551,7 @@ with tab2:
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)
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with tab3:
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if 'team_freq' in st.session_state:
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try:
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st.dataframe(st.session_state.team_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
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except:
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@@ -531,6 +567,7 @@ with tab2:
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)
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with tab4:
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if 'stack_freq' in st.session_state:
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try:
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st.dataframe(st.session_state.stack_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
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except:
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sim_slate_var1 = st.radio("Which data are you loading?", ('Main Slate', 'Other Main Slate'), key='sim_slate_var1')
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sim_site_var1 = st.radio("What site are you working with?", ('Draftkings', 'Fanduel'), key='sim_site_var1')
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if sim_site_var1 == 'Draftkings':
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for key in st.session_state.keys():
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del st.session_state[key]
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raw_baselines = dk_raw
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column_names = dk_columns
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elif sim_site_var1 == 'Fanduel':
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for key in st.session_state.keys():
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del st.session_state[key]
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raw_baselines = fd_raw
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column_names = fd_columns
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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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try:
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st.dataframe(st.session_state.Sim_Winner_Frame)
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except:
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st.write("resources low, waiting 5 seconds and trying again")
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time.sleep(5)
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st.dataframe(st.session_state.Sim_Winner_Frame)
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with st.container():
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tab1, tab2, tab3, tab4 = st.tabs(['Overall Exposures', 'SP Exposures', 'Team Exposures', 'Stack Size Exposures'])
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with tab1:
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if 'player_freq' in st.session_state:
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try:
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st.dataframe(st.session_state.player_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
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except:
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st.write("resources low, waiting 5 seconds and trying again")
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time.sleep(5)
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st.dataframe(st.session_state.player_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
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st.download_button(
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label="Export Exposures",
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data=st.session_state.player_freq.to_csv().encode('utf-8'),
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)
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with tab2:
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if 'sp_freq' in st.session_state:
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try:
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st.dataframe(st.session_state.sp_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
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except:
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st.write("resources low, waiting 5 seconds and trying again")
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time.sleep(5)
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st.dataframe(st.session_state.sp_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
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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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with tab3:
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if 'team_freq' in st.session_state:
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try:
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st.dataframe(st.session_state.team_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
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except:
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st.write("resources low, waiting 5 seconds and trying again")
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time.sleep(5)
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st.dataframe(st.session_state.team_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
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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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with tab4:
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if 'stack_freq' in st.session_state:
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try:
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st.dataframe(st.session_state.stack_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
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except:
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st.write("resources low, waiting 5 seconds and trying again")
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time.sleep(5)
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st.dataframe(st.session_state.stack_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
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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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tab1, tab2, tab3, tab4 = st.tabs(['Overall Exposures', 'SP Exposures', 'Team Exposures', 'Stack Size Exposures'])
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with tab1:
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if 'player_freq' in st.session_state:
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+
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try:
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st.dataframe(st.session_state.player_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
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except:
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)
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with tab2:
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if 'sp_freq' in st.session_state:
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+
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try:
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st.dataframe(st.session_state.sp_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
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except:
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)
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with tab3:
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if 'team_freq' in st.session_state:
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+
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try:
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st.dataframe(st.session_state.team_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
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except:
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)
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with tab4:
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if 'stack_freq' in st.session_state:
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+
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try:
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st.dataframe(st.session_state.stack_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
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except:
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