Update app.py

app.py

@@ -185,12 +185,14 @@ with tab2:
                 ownframe['Own%'] = np.where((ownframe['Position'] != 'QB') & (ownframe['Own'] - ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean() >= 0), ownframe['Own'] * (5 * (ownframe['Own'] - ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean())/100) + ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean(), ownframe['Own%'])
                 ownframe['Own%'] = np.where(ownframe['Own%'] > 85, 85, ownframe['Own%'])
                 ownframe['Own'] = ownframe['Own%'] * (600 / ownframe['Own%'].sum())
+                cpt_div = 6
             elif site_var1 == 'Fanduel':
                 ownframe = raw_baselines.copy()
                 ownframe['Own%'] = np.where((ownframe['Position'] == 'QB') & (ownframe['Own'] - ownframe.loc[ownframe['Position'] == 'QB', 'Own'].mean() >= 0), ownframe['Own'] * (5 * (ownframe['Own'] - ownframe.loc[ownframe['Position'] == 'QB', 'Own'].mean())/50) + ownframe.loc[ownframe['Position'] == 'QB', 'Own'].mean(), ownframe['Own'])
                 ownframe['Own%'] = np.where((ownframe['Position'] != 'QB') & (ownframe['Own'] - ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean() >= 0), ownframe['Own'] * (5 * (ownframe['Own'] - ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean())/150) + ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean(), ownframe['Own%'])
                 ownframe['Own%'] = np.where(ownframe['Own%'] > 75, 75, ownframe['Own%'])
                 ownframe['Own'] = ownframe['Own%'] * (500 / ownframe['Own%'].sum())
+                cpt_div = 5
         elif contest_var1 == 'Large Field GPP':
             if site_var1 == 'Draftkings':
                 ownframe = raw_baselines.copy()
@@ -198,12 +200,14 @@ with tab2:
                 ownframe['Own%'] = np.where((ownframe['Position'] != 'QB') & (ownframe['Own'] - ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean() >= 0), ownframe['Own'] * (2.5 * (ownframe['Own'] - ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean())/100) + ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean(), ownframe['Own%'])
                 ownframe['Own%'] = np.where(ownframe['Own%'] > 75, 75, ownframe['Own%'])
                 ownframe['Own'] = ownframe['Own%'] * (600 / ownframe['Own%'].sum())
+                cpt_div = 6
             elif site_var1 == 'Fanduel':
                 ownframe = raw_baselines.copy()
                 ownframe['Own%'] = np.where((ownframe['Position'] == 'QB') & (ownframe['Own'] - ownframe.loc[ownframe['Position'] == 'QB', 'Own'].mean() >= 0), ownframe['Own'] * (2.5 * (ownframe['Own'] - ownframe.loc[ownframe['Position'] == 'QB', 'Own'].mean())/50) + ownframe.loc[ownframe['Position'] == 'QB', 'Own'].mean(), ownframe['Own'])
                 ownframe['Own%'] = np.where((ownframe['Position'] != 'QB') & (ownframe['Own'] - ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean() >= 0), ownframe['Own'] * (2.5 * (ownframe['Own'] - ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean())/150) + ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean(), ownframe['Own%'])
                 ownframe['Own%'] = np.where(ownframe['Own%'] > 75, 75, ownframe['Own%'])
                 ownframe['Own'] = ownframe['Own%'] * (500 / ownframe['Own%'].sum())
+                cpt_div = 5
         elif contest_var1 == 'Cash':
             if site_var1 == 'Draftkings':
                 ownframe = raw_baselines.copy()
@@ -211,18 +215,20 @@ with tab2:
                 ownframe['Own%'] = np.where((ownframe['Position'] != 'QB') & (ownframe['Own'] - ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean() >= 0), ownframe['Own'] * (6 * (ownframe['Own'] - ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean())/100) + ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean(), ownframe['Own%'])
                 ownframe['Own%'] = np.where(ownframe['Own%'] > 90, 90, ownframe['Own%'])
                 ownframe['Own'] = ownframe['Own%'] * (600 / ownframe['Own%'].sum())
+                cpt_div = 6
             elif site_var1 == 'Fanduel':
                 ownframe = raw_baselines.copy()
                 ownframe['Own%'] = np.where((ownframe['Position'] == 'QB') & (ownframe['Own'] - ownframe.loc[ownframe['Position'] == 'QB', 'Own'].mean() >= 0), ownframe['Own'] * (6 * (ownframe['Own'] - ownframe.loc[ownframe['Position'] == 'QB', 'Own'].mean())/50) + ownframe.loc[ownframe['Position'] == 'QB', 'Own'].mean(), ownframe['Own'])
                 ownframe['Own%'] = np.where((ownframe['Position'] != 'QB') & (ownframe['Own'] - ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean() >= 0), ownframe['Own'] * (6 * (ownframe['Own'] - ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean())/150) + ownframe.loc[ownframe['Position'] != 'QB', 'Own'].mean(), ownframe['Own%'])
                 ownframe['Own%'] = np.where(ownframe['Own%'] > 75, 75, ownframe['Own%'])
+                cpt_div = 5
                 ownframe['Own'] = ownframe['Own%'] * (500 / ownframe['Own%'].sum())
         export_baselines = ownframe[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own']]
         export_baselines['CPT_Proj'] = export_baselines['Median'] * 1.5
         export_baselines['CPT_Salary'] = export_baselines['Salary'] * 1.5
         export_baselines['ID'] = export_baselines['Player'].map(dkid_dict)
         display_baselines = ownframe[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own']]
-        display_baselines['CPT Own'] = display_baselines['Own'] / 4
+        display_baselines['CPT Own'] = display_baselines['Own'] / cpt_div
         display_baselines = display_baselines.sort_values(by='Median', ascending=False)
         display_baselines['cpt_lock'] = np.where(display_baselines['Player'].isin(lock_var1), 1, 0)
         display_baselines['lock'] = np.where(display_baselines['Player'].isin(lock_var2), 1, 0)
@@ -265,7 +271,7 @@ with tab2:
             cpt_proj['Team'] = display_baselines['Team']
             cpt_proj['Opp'] = display_baselines['Opp']
             cpt_proj['Median'] = display_baselines['Median'] * 1.5
-            cpt_proj['Own'] = display_baselines['CPT Own'] *.75
+            cpt_proj['Own'] = display_baselines['CPT Own'] * .75
             cpt_proj['lock'] = display_baselines['cpt_lock']
             cpt_proj['roster'] = 'CPT'