Update app.py

app.py

@@ -93,12 +93,6 @@ def convert_df_to_csv(df):
 site_slates, player_stats, dk_roo_raw, fd_roo_raw, dk_stacks_raw, fd_stacks_raw, dkid_dict, fdid_dict  = init_baselines()
 t_stamp = f"Last Update: " + str(dk_roo_raw['timestamp'][0]) + f" CST"
 col1, col2 = st.columns([1, 5])
-dk_Max_Rank = dk_stacks_raw['Team'][0]
-fd_Max_Rank = dk_stacks_raw['Team'][0]
-dk_stacks_raw = dk_stacks_raw.sort_values(by='Median', ascending=False)
-fd_stacks_raw = fd_stacks_raw.sort_values(by='Median', ascending=False)
-dk_Max_Upside = dk_stacks_raw['Team'][0]
-fd_Max_Upside = dk_stacks_raw['Team'][0]
 opp_dict = dict(zip(dk_roo_raw.Team, dk_roo_raw.Opp))
 
 tab1, tab2 = st.tabs(['Optimizer', 'Uploads and Info'])
@@ -128,12 +122,6 @@ with tab1:
               site_slates, player_stats, dk_roo_raw, fd_roo_raw, dk_stacks_raw, fd_stacks_raw, dk_ids, fd_ids = init_baselines()
               t_stamp = f"Last Update: " + str(dk_roo_raw['timestamp'][0]) + f" CST"
               col1, col2 = st.columns([1, 5])
-              dk_Max_Rank = dk_stacks_raw['Team'][0]
-              fd_Max_Rank = dk_stacks_raw['Team'][0]
-              dk_stacks_raw = dk_stacks_raw.sort_values(by='Median', ascending=False)
-              fd_stacks_raw = fd_stacks_raw.sort_values(by='Median', ascending=False)
-              dk_Max_Upside = dk_stacks_raw['Team'][0]
-              fd_Max_Upside = dk_stacks_raw['Team'][0]
               opp_dict = dict(zip(dk_roo_raw.Team, dk_roo_raw.Opp))
               
         slate_var1 = st.radio("Which data are you loading?", ('Main Slate', 'Secondary Slate', 'All Games', 'User'), key='slate_var1')
@@ -141,23 +129,15 @@ with tab1:
         if site_var1 == 'Draftkings':
               if slate_var1 == 'User':
                   raw_baselines = proj_dataframe
-                  Max_Rank = dk_Max_Rank
-                  Max_Upside = dk_Max_Upside
               elif slate_var1 != 'User':
                   raw_baselines = dk_roo_raw[dk_roo_raw['slate'] == str(slate_var1)]
                   raw_baselines = raw_baselines[raw_baselines['version'] == 'overall']
-                  Max_Rank = dk_Max_Rank
-                  Max_Upside = dk_Max_Upside
         elif site_var1 == 'Fanduel':
               if slate_var1 == 'User':
                   raw_baselines = proj_dataframe
-                  Max_Rank = fd_Max_Rank
-                  Max_Upside = fd_Max_Upside
               elif slate_var1 != 'User':
                   raw_baselines = fd_roo_raw[fd_roo_raw['slate'] == str(slate_var1)]
                   raw_baselines = raw_baselines[raw_baselines['version'] == 'overall']
-                  Max_Rank = fd_Max_Rank
-                  Max_Upside = fd_Max_Upside
         contest_var1 = st.selectbox("What contest type are you optimizing for?", ('Cash', 'Small Field GPP', 'Large Field GPP', 'Round Robin'), key='contest_var1')
         trim_choice1 = st.selectbox("Allow overowned lineups?", options = ['Yes', 'No'])
         if trim_choice1 == 'Yes':
@@ -173,7 +153,6 @@ with tab1:
                 qbstack_var1 = st.selectbox('How many forced WR/TE stacked with QB?', options = [1, 2], key='qbstack_var1')
                 ministack_var1 = st.selectbox('How many forced bring backs?', options = [0, 1, 2], key='ministack_var1')
             elif opto_var1 == "Pivot Optimal":
-                stack_var1 = Max_Rank
                 opp_var1 = opp_dict[stack_var1]
                 qbstack_var1 = 2
                 ministack_var1 = 0
@@ -186,7 +165,6 @@ with tab1:
                 qbstack_var1 = st.selectbox('How many forced WR/TE stacked with QB?', options = [1, 2], key='qbstack_var1')
                 ministack_var1 = st.selectbox('How many forced bring backs?', options = [0, 1, 2], key='ministack_var1')
             elif opto_var1 == "Pivot Optimal":
-                stack_var1 = Max_Upside
                 opp_var1 = opp_dict[stack_var1]
                 qbstack_var1 = 2
                 ministack_var1 = 1