added a whole bunch of important objects

app.py

@@ -68,8 +68,6 @@ def init_load():
     load_display.rename(columns={"Name": "Player", "Fantasy": "Median", "Minutes Proj": "Minutes"}, inplace = True)
 
     timestamp = load_display['timestamp'].values[0]
-
-    load_display = load_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Minutes', 'Median', 'Own']]
     roo_raw = load_display.loc[load_display['Median'] > 0]
 
     worksheet = sh.worksheet('DK_SD_Build')
@@ -100,8 +98,6 @@ def init_load():
     load_display = load_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'Minutes']]
     fd_roo_raw_2 = load_display.loc[load_display['Median'] > 0]
 
-    
-
     return roo_raw, dk_roo_raw, dk_roo_raw_2, fd_roo_raw, fd_roo_raw_2, timestamp
 
 roo_raw, dk_roo_raw, dk_roo_raw_2, fd_roo_raw, fd_roo_raw_2, t_stamp = init_load()
@@ -110,56 +106,61 @@ roo_raw, dk_roo_raw, dk_roo_raw_2, fd_roo_raw, fd_roo_raw_2, t_stamp = init_load
 def convert_df_to_csv(df):
     return df.to_csv().encode('utf-8')
 
-col1, col2 = st.columns([1, 9])
-
-with col1:
-    st.info(t_stamp)
-    if st.button("Load/Reset Data", key='reset1'):
-        st.cache_data.clear()
-        dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp = init_load()
-        t_stamp = f"Last Update: " + str(timestamp) + f" CST"
-        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':
-        site_baselines = roo_raw[roo_raw['site'] == 'Draftkings']
-    elif site_var2 == 'Fanduel':
-        site_baselines = roo_raw[roo_raw['site'] == 'Fanduel']
-    slate_split = st.radio("Are you viewing the main slate or the secondary slate?", ('Showdown #1', 'Showdown #2'), key='slate_split')
-    if slate_split == 'Showdown #1':
-        raw_baselines = site_baselines[site_baselines['slate'] == 'Showdown #1']
-    elif slate_split == 'Showdown #2':
-        raw_baselines = site_baselines[site_baselines['slate'] == 'Showdown #2']
-    split_var2 = st.radio("Are you running the full slate or certain 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'], key='pos_var2')
-
-with col2:
-    display_container_1 = st.empty()
-    display_dl_container_1 = st.empty()
-    display_proj = raw_baselines[raw_baselines['Team'].isin(team_var2)]
-    display_proj = display_proj.drop(columns=['site', 'version', 'slate', 'timestamp'])
-    
-    st.session_state.display_proj = display_proj
+tab1, tab2 = st.tabs(['Range of Outcomes', 'Uploads and Info'])
+
+with tab1:
+    col1, col2 = st.columns([1, 9])
+
+    with col1:
+        st.info(t_stamp)
+        if st.button("Load/Reset Data", key='reset1'):
+            st.cache_data.clear()
+            dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp = init_load()
+            t_stamp = f"Last Update: " + str(timestamp) + f" CST"
+            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':
+            site_baselines = roo_raw[roo_raw['site'] == 'Draftkings']
+        elif site_var2 == 'Fanduel':
+            site_baselines = roo_raw[roo_raw['site'] == 'Fanduel']
+        slate_split = st.radio("Are you viewing the main slate or the secondary slate?", ('Showdown #1', 'Showdown #2'), key='slate_split')
+        if slate_split == 'Showdown #1':
+            raw_baselines = site_baselines[site_baselines['slate'] == 'Showdown #1']
+        elif slate_split == 'Showdown #2':
+            raw_baselines = site_baselines[site_baselines['slate'] == 'Showdown #2']
+        split_var2 = st.radio("Are you running the full slate or certain 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'], key='pos_var2')
+
+    with col2:
+        display_container_1 = st.empty()
+        display_dl_container_1 = st.empty()
+        display_proj = raw_baselines[raw_baselines['Team'].isin(team_var2)]
+        display_proj = display_proj.drop(columns=['site', 'version', 'slate', 'timestamp'])
         
-    with display_container_1:
-        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), height=1000, use_container_width = True)
-    
-    with display_dl_container_1:
-            display_dl_container = st.empty()
+        st.session_state.display_proj = display_proj
+            
+        with display_container_1:
+            display_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_SD_ROO_export.csv',
-                            mime='text/csv',
-                )
+                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), height=1000, use_container_width = True)
+        
+        with display_dl_container_1:
+                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_SD_ROO_export.csv',
+                                mime='text/csv',
+                    )
+with tab2:
+    st.write("Yeah man idk that's crazy")