Update app.py

app.py

@@ -63,7 +63,7 @@ def convert_df_to_csv(df):
 
 dk_raw, fd_raw = load_overall_stats()
 
-tab1, tab2 = st.tabs(['Uploads and Info', 'Range of Outcomes'])
+tab1, tab2, tab3 = st.tabs(['Uploads and Info', 'Range of Outcomes', 'Custom Range of Outcomes'])
 
 with tab1:
     st.info("The Projections file can have any columns in any order, but must contain columns explicitly named: 'Player', 'Salary', 'Position', 'Team', 'Opp', 'Minutes', 'Median', 'Own'.")
@@ -91,6 +91,59 @@ with tab2:
               dk_raw, fd_raw = load_overall_stats()
               for key in st.session_state.keys():
                   del st.session_state[key]
+        site_var2 = st.radio("What table would you like to display?", ('Draftkings', 'Fanduel'), key='site_var2')
+        if site_var2 == 'Draftkings':
+            raw_baselines = dk_raw
+        elif site_var2 == 'Fanduel':
+            raw_baselines = fd_raw
+        split_var2 = st.radio("Are you running the full slate or crtain games?", ('Full Slate Run', 'Specific Games'), key='split_var2')
+        if split_var2 == 'Specific Games':
+            team_var2 = st.multiselect('Which teams would you like to include in the ROO?', options = raw_baselines['Team'].unique(), key='team_var2')
+        elif split_var2 == 'Full Slate Run':
+            team_var2 = raw_baselines.Team.values.tolist()
+        pos_var2 = st.selectbox('View specific position?', options = ['All', 'PG', 'SG', 'SF', 'PF', 'C'])
+
+    with col2:
+        display_container = st.empty()
+        display_dl_container = st.empty()
+        hold_container = st.empty()
+        if st.button('Create Range of Outcomes for Slate'):
+            with hold_container:
+                display_proj = raw_baselines[raw_baselines['Team'].isin(team_var2)]
+                
+                st.session_state.display_proj = display_proj
+                
+                hold_container = st.empty()
+            
+        with display_container:
+            display_container = st.empty()
+            if 'display_proj' in st.session_state:
+                if pos_var2 == 'All':
+                    st.session_state.display_proj = st.session_state.display_proj
+                elif pos_var2 != 'All':
+                    st.session_state.display_proj = st.session_state.display_proj[st.session_state.display_proj['Position'].str.contains(pos_var2)]
+                st.dataframe(st.session_state.display_proj.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+        
+        with display_dl_container:
+                display_dl_container = st.empty()
+                if 'display_proj' in st.session_state:
+                    st.download_button(
+                                label="Export Tables",
+                                data=convert_df_to_csv(st.session_state.display_proj),
+                                file_name='NBA_ROO_export.csv',
+                                mime='text/csv',
+                    )
+
+with tab3:
+
+    col1, col2 = st.columns([1, 9])
+
+    with col1:
+        if st.button("Load/Reset Data", key='reset2'):
+              st.cache_data.clear()
+              dk_raw, fd_raw = load_overall_stats()
+              for key in st.session_state.keys():
+                  del st.session_state[key]
         slate_var1 = st.radio("Which data are you loading?", ('Paydirt', 'User'), key='slate_var1')
         site_var1 = st.radio("What table would you like to display?", ('Draftkings', 'Fanduel'), key='site_var1')
         if site_var1 == 'Draftkings':