Multichem commited on
Commit
b54cc8c
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1 Parent(s): 9e41cbc

Update app.py

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Files changed (1) hide show
  1. app.py +6 -8
app.py CHANGED
@@ -342,13 +342,11 @@ with tab1:
342
  st.session_state.Sim_Winner_Display = Sim_Winner_Frame.copy()
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  freq_copy = st.session_state.Sim_Winner_Display
344
 
345
- st.table(freq_copy)
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-
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  if sim_site_var1 == 'Draftkings':
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- freq_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,0:7].values, return_counts=True)),
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  columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
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  elif sim_site_var1 == 'Fanduel':
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- freq_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,0:6].values, return_counts=True)),
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  columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
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  freq_working['Freq'] = freq_working['Freq'].astype(int)
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  freq_working['Position'] = freq_working['Player'].map(maps_dict['Pos_map'])
@@ -375,20 +373,20 @@ with tab1:
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  st.session_state.sp_freq = cpt_working.copy()
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  if sim_site_var1 == 'Draftkings':
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- team_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,9:10].values, return_counts=True)),
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  columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
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  elif sim_site_var1 == 'Fanduel':
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- team_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,8:9].values, return_counts=True)),
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  columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
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  team_working['Freq'] = team_working['Freq'].astype(int)
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  team_working['Exposure'] = team_working['Freq']/(1000)
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  st.session_state.team_freq = team_working.copy()
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  if sim_site_var1 == 'Draftkings':
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- stack_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,10:11].values, return_counts=True)),
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  columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
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  elif sim_site_var1 == 'Fanduel':
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- stack_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,9:10].values, return_counts=True)),
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  columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
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  stack_working['Freq'] = stack_working['Freq'].astype(int)
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  stack_working['Exposure'] = stack_working['Freq']/(1000)
 
342
  st.session_state.Sim_Winner_Display = Sim_Winner_Frame.copy()
343
  freq_copy = st.session_state.Sim_Winner_Display
344
 
 
 
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  if sim_site_var1 == 'Draftkings':
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+ freq_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,0:6].values, return_counts=True)),
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  columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
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  elif sim_site_var1 == 'Fanduel':
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+ freq_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,0:7].values, return_counts=True)),
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  columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
351
  freq_working['Freq'] = freq_working['Freq'].astype(int)
352
  freq_working['Position'] = freq_working['Player'].map(maps_dict['Pos_map'])
 
373
  st.session_state.sp_freq = cpt_working.copy()
374
 
375
  if sim_site_var1 == 'Draftkings':
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+ team_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,8:10].values, return_counts=True)),
377
  columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
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  elif sim_site_var1 == 'Fanduel':
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+ team_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,7:9].values, return_counts=True)),
380
  columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
381
  team_working['Freq'] = team_working['Freq'].astype(int)
382
  team_working['Exposure'] = team_working['Freq']/(1000)
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  st.session_state.team_freq = team_working.copy()
384
 
385
  if sim_site_var1 == 'Draftkings':
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+ stack_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,10:12].values, return_counts=True)),
387
  columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
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  elif sim_site_var1 == 'Fanduel':
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+ stack_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,9:11].values, return_counts=True)),
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  columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
391
  stack_working['Freq'] = stack_working['Freq'].astype(int)
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  stack_working['Exposure'] = stack_working['Freq']/(1000)