Update app.py

app.py

@@ -94,6 +94,16 @@ def wr_te_util_season():
     raw_display = raw_display.sort_values(by='Utilization Rank', ascending=True)
     return raw_display
 
+@st.cache_resource(ttl = 300)
+def coverage_matchups():
+    sh = gc.open_by_url(all_dk_player_projections)
+    worksheet = sh.worksheet('Defensive Matchups')
+    raw_display = pd.DataFrame(worksheet.get_all_records())
+    raw_display = raw_display.replace('', np.nan)
+    raw_display = raw_display.sort_values(by='Utilization Rank', ascending=True)
+    
+    return raw_display
+
 @st.cache_resource(ttl = 300)
 def macro_pull():
     sh = gc.open_by_url(all_dk_player_projections)
@@ -110,63 +120,66 @@ rb_search = rb_util_weekly()
 wr_search = wr_te_util_weekly()
 rb_season = rb_util_season()
 wr_season = wr_te_util_season()
+wr_matchups = coverage_matchups()
 macro_data = macro_pull()
 pos_list = ['RB', 'WR', 'TE']
 
-col1, col2 = st.columns([1, 8])
-
-with col1:
-    if st.button("Load/Reset Data", key='reset1'):
-          st.cache_data.clear()
-          rb_search = rb_util_season()
-          wr_search = wr_te_util_season()
-          macro_data = macro_pull()
-    stat_type_var1 = st.radio("What table are you loading?", ('Macro Table', 'RB Usage (Weekly)', 'WR/TE Usage (Weekly)', 'RB Usage (Season)', 'WR/TE Usage (Season)'), key='stat_type_var1')
-    split_var1 = st.radio("Are you running the the whole league or certain teams?", ('All Teams', 'Specific Teams'), key='split_var1')
-    pos_split1 = st.radio("Are you viewing all positions or specific positions?", ('All Positions', 'Specific Positions'), key='pos_split1')      
-    if pos_split1 == 'Specific Positions':
-        pos_var1 = st.multiselect('What Positions would you like to view?', options = ['RB', 'WR', 'TE'])
-    elif pos_split1 == 'All Positions':
-        pos_var1 = pos_list 
-    if split_var1 == 'Specific Teams':
-        team_var1 = st.multiselect('Which teams would you like to include in the Table?', options = rb_search['Team-Season'].unique(), key='team_var1')
-    elif split_var1 == 'All Teams':
-        team_var1 = rb_search['Team-Season'].unique().tolist()
-    if stat_type_var1 == 'Macro Table':
-        table_instance = macro_data
-        table_instance = table_instance.set_index('team')  
-    elif stat_type_var1 == 'RB Usage (Weekly)':
-        table_instance = rb_search
-        table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]  
-        table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
-    elif stat_type_var1 == 'WR/TE Usage (Weekly)':
-        table_instance = wr_search    
-        table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]  
-        table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
-    elif stat_type_var1 == 'RB Usage (Season)':
-        table_instance = rb_season
-        table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]  
-        table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
-    elif stat_type_var1 == 'WR/TE Usage (Season)':
-        table_instance = wr_season
-        table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]  
-        table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
-
-with col2:
-    if stat_type_var1 == 'Macro Table':
-        st.dataframe(table_instance.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').format(game_format, precision=2), use_container_width = True)
-    elif stat_type_var1 == 'RB Usage (Weekly)':
-        st.dataframe(table_instance.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').background_gradient(cmap='RdYlGn_r', subset = 'Utilization Rank').format(rb_util, precision=2), use_container_width = True)
-    elif stat_type_var1 == 'WR/TE Usage (Weekly)':
-        st.dataframe(table_instance.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').background_gradient(cmap='RdYlGn_r', subset = 'Utilization Rank').format(wr_te_util, precision=2), use_container_width = True)
-    elif stat_type_var1 == 'RB Usage (Season)':
-        st.dataframe(table_instance.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').background_gradient(cmap='RdYlGn_r', subset = 'Utilization Rank').format(rb_util, precision=2), use_container_width = True)
-    elif stat_type_var1 == 'WR/TE Usage (Season)':
-        st.dataframe(table_instance.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').background_gradient(cmap='RdYlGn_r', subset = 'Utilization Rank').format(wr_te_util, precision=2), use_container_width = True)
-
-    st.download_button(
-                    label="Export Tables",
-                    data=convert_df_to_csv(table_instance),
-                    file_name='NFL_Research_export.csv',
-                    mime='text/csv',
-    )
+tab1, tab2 = st.tabs("Season Long Research", "Slate Specific")
+with tab1:
+    col1, col2 = st.columns([1, 8])
+    
+    with col1:
+        if st.button("Load/Reset Data", key='reset1'):
+              st.cache_data.clear()
+              rb_search = rb_util_season()
+              wr_search = wr_te_util_season()
+              macro_data = macro_pull()
+        stat_type_var1 = st.radio("What table are you loading?", ('Macro Table', 'RB Usage (Weekly)', 'WR/TE Usage (Weekly)', 'RB Usage (Season)', 'WR/TE Usage (Season)'), key='stat_type_var1')
+        split_var1 = st.radio("Are you running the the whole league or certain teams?", ('All Teams', 'Specific Teams'), key='split_var1')
+        pos_split1 = st.radio("Are you viewing all positions or specific positions?", ('All Positions', 'Specific Positions'), key='pos_split1')      
+        if pos_split1 == 'Specific Positions':
+            pos_var1 = st.multiselect('What Positions would you like to view?', options = ['RB', 'WR', 'TE'])
+        elif pos_split1 == 'All Positions':
+            pos_var1 = pos_list 
+        if split_var1 == 'Specific Teams':
+            team_var1 = st.multiselect('Which teams would you like to include in the Table?', options = rb_search['Team-Season'].unique(), key='team_var1')
+        elif split_var1 == 'All Teams':
+            team_var1 = rb_search['Team-Season'].unique().tolist()
+        if stat_type_var1 == 'Macro Table':
+            table_instance = macro_data
+            table_instance = table_instance.set_index('team')  
+        elif stat_type_var1 == 'RB Usage (Weekly)':
+            table_instance = rb_search
+            table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]  
+            table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
+        elif stat_type_var1 == 'WR/TE Usage (Weekly)':
+            table_instance = wr_search    
+            table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]  
+            table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
+        elif stat_type_var1 == 'RB Usage (Season)':
+            table_instance = rb_season
+            table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]  
+            table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
+        elif stat_type_var1 == 'WR/TE Usage (Season)':
+            table_instance = wr_season
+            table_instance = table_instance[table_instance['Team-Season'].isin(team_var1)]  
+            table_instance = table_instance[table_instance['Position'].isin(pos_var1)]
+    
+    with col2:
+        if stat_type_var1 == 'Macro Table':
+            st.dataframe(table_instance.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').format(game_format, precision=2), use_container_width = True)
+        elif stat_type_var1 == 'RB Usage (Weekly)':
+            st.dataframe(table_instance.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').background_gradient(cmap='RdYlGn_r', subset = 'Utilization Rank').format(rb_util, precision=2), use_container_width = True)
+        elif stat_type_var1 == 'WR/TE Usage (Weekly)':
+            st.dataframe(table_instance.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').background_gradient(cmap='RdYlGn_r', subset = 'Utilization Rank').format(wr_te_util, precision=2), use_container_width = True)
+        elif stat_type_var1 == 'RB Usage (Season)':
+            st.dataframe(table_instance.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').background_gradient(cmap='RdYlGn_r', subset = 'Utilization Rank').format(rb_util, precision=2), use_container_width = True)
+        elif stat_type_var1 == 'WR/TE Usage (Season)':
+            st.dataframe(table_instance.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').background_gradient(cmap='RdYlGn_r', subset = 'Utilization Rank').format(wr_te_util, precision=2), use_container_width = True)
+    
+        st.download_button(
+                        label="Export Tables",
+                        data=convert_df_to_csv(table_instance),
+                        file_name='NFL_Research_export.csv',
+                        mime='text/csv',
+        )