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0f4b37a
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1 Parent(s): 41cfcc3

Update app.py

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Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -40,7 +40,7 @@ gcservice_account = init_conn()
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  master_hold = 'https://docs.google.com/spreadsheets/d/1D526UlXmrz-8qxVcUKrA-u7f6FftUiBufxDnzQv980k/edit#gid=791804525'
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- @st.cache_resource(ttl = 500)
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  def init_baselines():
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  sh = gcservice_account.open_by_url(master_hold)
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  worksheet = sh.worksheet('Pitcher_Proj')
@@ -135,7 +135,7 @@ with tab3:
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  flex_file = df.copy()
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  flex_file.rename(columns={"Name": "Player"}, inplace = True)
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  flex_file['Floor'] = (flex_file['Median'] * .15)
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- flex_file['Ceiling'] = np.where((flex_file['Median'] * flex_file['Ceiling_var']) * 1.25 > stat_cap, stat_cap, (flex_file['Median'] * flex_file['Ceiling_var']) * 1.25)
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  flex_file['STD'] = (flex_file['Median']/3)
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  flex_file = flex_file[['Player', 'Floor', 'Median', 'Ceiling', 'STD']]
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@@ -225,7 +225,7 @@ with tab4:
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  flex_file = df.copy()
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  flex_file.rename(columns={"Name": "Player"}, inplace = True)
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  flex_file['Floor'] = (flex_file['Median'] * .15)
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- flex_file['Ceiling'] = np.where((flex_file['Median'] * flex_file['Ceiling_var']) * 1.25 > stat_cap, stat_cap, (flex_file['Median'] * flex_file['Ceiling_var']) * 1.25)
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  flex_file['STD'] = (flex_file['Median']/2)
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  flex_file = flex_file[['Player', 'Floor', 'Median', 'Ceiling', 'STD']]
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  master_hold = 'https://docs.google.com/spreadsheets/d/1D526UlXmrz-8qxVcUKrA-u7f6FftUiBufxDnzQv980k/edit#gid=791804525'
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+ @st.cache_resource(ttl = 600)
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  def init_baselines():
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  sh = gcservice_account.open_by_url(master_hold)
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  worksheet = sh.worksheet('Pitcher_Proj')
 
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  flex_file = df.copy()
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  flex_file.rename(columns={"Name": "Player"}, inplace = True)
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  flex_file['Floor'] = (flex_file['Median'] * .15)
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+ flex_file['Ceiling'] = np.where((flex_file['Median'] * flex_file['Ceiling_var']) * 1.85 > stat_cap, stat_cap, (flex_file['Median'] * flex_file['Ceiling_var']) * 1.25)
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  flex_file['STD'] = (flex_file['Median']/3)
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  flex_file = flex_file[['Player', 'Floor', 'Median', 'Ceiling', 'STD']]
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  flex_file = df.copy()
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  flex_file.rename(columns={"Name": "Player"}, inplace = True)
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  flex_file['Floor'] = (flex_file['Median'] * .15)
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+ flex_file['Ceiling'] = np.where((flex_file['Median'] * flex_file['Ceiling_var']) * 1.85 > stat_cap, stat_cap, (flex_file['Median'] * flex_file['Ceiling_var']) * 1.25)
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  flex_file['STD'] = (flex_file['Median']/2)
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  flex_file = flex_file[['Player', 'Floor', 'Median', 'Ceiling', 'STD']]
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