Update app.py

app.py

@@ -42,10 +42,12 @@ wr_te_util = {'Routes%': '{:.2%}','Targets%': '{:.2%}', 'Air Yards%': '{:.2%}',
 
 wr_matchups_form = {'Opp Man%': '{:.2%}','Opp Zone%': '{:.2%}'}
 
+trending_form = {'Trend': '{:.2%}'}
+
 all_dk_player_projections = 'https://docs.google.com/spreadsheets/d/1I_1Ve3F4tftgfLQQoRKOJ351XfEG48s36OxXUKxmgS8/edit#gid=179416653'
 
-@st.cache_resource(ttl = 300)
-def rb_util_weekly():
+@st.cache_resource(ttl = 600)
+def pull_baselines():
     sh = gc.open_by_url(all_dk_player_projections)
     worksheet = sh.worksheet('RB_Util')
     raw_display = pd.DataFrame(worksheet.get_all_records())
@@ -54,12 +56,8 @@ def rb_util_weekly():
                                'tprr', 'player_SDD_snaps_per', 'inside_five_rush_per', 'player_LDD_snaps_per', 'two_min_per', 'exPPR', 'ppr_fantasy', 'UR_Rank']]
     raw_display = raw_display.set_axis(['Player', 'Position', 'Week', 'Team-Season', 'Player Snaps%', 'Rush Att%', 'Routes%', 'Targets%',
                                'TPRR', 'SDD Snaps%', 'i5 Rush%', 'LDD Snaps%', '2-min%', 'Expected PPR', 'PPR', 'Utilization Rank'], axis='columns')
-    raw_display = raw_display.sort_values(by='Utilization Rank', ascending=True)
-    return raw_display
-
-@st.cache_resource(ttl = 300)
-def wr_te_util_weekly():
-    sh = gc.open_by_url(all_dk_player_projections)
+    rb_search = raw_display.sort_values(by='Utilization Rank', ascending=True)
+    
     worksheet = sh.worksheet('WR_TE_Util')
     raw_display = pd.DataFrame(worksheet.get_all_records())
     raw_display = raw_display.replace('', np.nan)      
@@ -67,12 +65,8 @@ def wr_te_util_weekly():
                                'ayprr', 'endzone_targets_per', 'third_fourth_per', 'third_fourth_target_per', 'play_action_targets_per', 'exPPR', 'ppr_fantasy', 'UR_Rank']]
     raw_display = raw_display.set_axis(['Player', 'Position', 'Week', 'Team-Season', 'Routes%', 'Targets%', 'TPRR' , 'ADOT', 'Air Yards%',
                                'AYPRR', 'Endzone Targets%', 'Third/Fourth%', 'Third/Fourth Targets%', 'Play Action Targets%', 'Expected PPR', 'PPR', 'Utilization Rank'], axis='columns')
-    raw_display = raw_display.sort_values(by='Utilization Rank', ascending=True)
-    return raw_display
-
-@st.cache_resource(ttl = 300)
-def rb_util_season():
-    sh = gc.open_by_url(all_dk_player_projections)
+    wr_search = raw_display.sort_values(by='Utilization Rank', ascending=True)
+    
     worksheet = sh.worksheet('RB_Util_Season')
     raw_display = pd.DataFrame(worksheet.get_all_records())
     raw_display = raw_display.replace('', np.nan)      
@@ -80,12 +74,8 @@ def rb_util_season():
                                'tprr', 'player_SDD_snaps_per', 'inside_five_rush_per', 'player_LDD_snaps_per', 'two_min_per', 'exPPR', 'ppr_fantasy', 'UR_Rank']]
     raw_display = raw_display.set_axis(['Player', 'Position', 'Team-Season', 'Player Snaps%', 'Rush Att%', 'Routes%', 'Targets%',
                                'TPRR', 'SDD Snaps%', 'i5 Rush%', 'LDD Snaps%', '2-min%', 'Expected PPR', 'PPR', 'Utilization Rank'], axis='columns')
-    raw_display = raw_display.sort_values(by='Utilization Rank', ascending=True)
-    return raw_display
-
-@st.cache_resource(ttl = 300)
-def wr_te_util_season():
-    sh = gc.open_by_url(all_dk_player_projections)
+    rb_season = raw_display.sort_values(by='Utilization Rank', ascending=True)
+    
     worksheet = sh.worksheet('WR_TE_Util_Season')
     raw_display = pd.DataFrame(worksheet.get_all_records())
     raw_display = raw_display.replace('', np.nan)      
@@ -93,42 +83,35 @@ def wr_te_util_season():
                                'ayprr', 'endzone_targets_per', 'third_fourth_per', 'third_fourth_target_per', 'play_action_targets_per', 'exPPR', 'ppr_fantasy', 'UR_Rank']]
     raw_display = raw_display.set_axis(['Player', 'Position', 'Team-Season', 'Routes%', 'Targets%', 'TPRR' , 'ADOT', 'Air Yards%',
                                'AYPRR', 'Endzone Targets%', 'Third/Fourth%', 'Third/Fourth Targets%', 'Play Action Targets%', 'Expected PPR', 'PPR', 'Utilization Rank'], axis='columns')
-    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)
+    wr_season = raw_display.sort_values(by='Utilization Rank', ascending=True)
+    
     worksheet = sh.worksheet('Defensive Matchups')
     raw_display = pd.DataFrame(worksheet.get_all_records())
     raw_display = raw_display.replace('', np.nan)
     raw_display = raw_display.dropna(subset='Weighted Targets')
     raw_display = raw_display[raw_display['Weighted Targets'] != '#DIV/0!']
     raw_display = raw_display[raw_display['Weighted Targets'] != '#N/A']
-    raw_display = raw_display.sort_values(by='Weighted Targets', ascending=False)
+    wr_matchups = raw_display.sort_values(by='Weighted Targets', ascending=False)
     
-    return raw_display
-
-@st.cache_resource(ttl = 300)
-def macro_pull():
-    sh = gc.open_by_url(all_dk_player_projections)
     worksheet = sh.worksheet('FL_Macro')
     raw_display = pd.DataFrame(worksheet.get_all_records())
     raw_display = raw_display.replace('', np.nan)
     raw_display = raw_display.dropna(subset='team')
-    raw_display = raw_display.sort_values(by='Team Total', ascending=False)      
-
-    return raw_display
+    macro_data = raw_display.sort_values(by='Team Total', ascending=False)
+    
+    worksheet = sh.worksheet('Ownership Trend')
+    raw_display = pd.DataFrame(worksheet.get_all_records())
+    raw_display = raw_display.replace('', np.nan)
+    raw_display = raw_display.dropna(subset='Team')
+    trending_data = raw_display.sort_values(by='Trend', ascending=False)
+    
+    return rb_search, wr_search, rb_season, wr_season, wr_matchups, macro_data, trending_data
 
 @st.cache_data
 def convert_df_to_csv(df):
     return df.to_csv().encode('utf-8')
-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()
+
+rb_search, wr_search, rb_season, wr_season, wr_matchups, macro_data, trending_data = pull_baselines()
 pos_list = ['RB', 'WR', 'TE']
 
 tab1, tab2 = st.tabs(["Season Long Research", "Slate Specific"])
@@ -138,11 +121,7 @@ with tab1:
     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()
-              rb_season = rb_util_season()
-              wr_season = wr_te_util_season()
-              macro_data = macro_pull()
+              rb_search, wr_search, rb_season, wr_season, wr_matchups, macro_data, trending_data = pull_baselines()
         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')      
@@ -198,14 +177,17 @@ with tab2:
     with col1:
         if st.button("Load/Reset Data", key='reset2'):
               st.cache_data.clear()
-              wr_matchups = coverage_matchups()
-        stat_type_var2 = st.radio("What table are you loading?", ('WR/TE Coverage Matchups', 'Nothing idk lol'))
+              rb_search, wr_search, rb_season, wr_season, wr_matchups, macro_data, trending_data = pull_baselines()
+        stat_type_var2 = st.radio("What table are you loading?", ('WR/TE Coverage Matchups', 'Ownership Trends', 'Nothing idk lol'))
         if stat_type_var2 == 'WR/TE Coverage Matchups':
             routes_var2 = st.slider("Is there a certain price range of routes you want to include?", 0, 50, (10, 50), key='sal_var2')
         split_var2 = st.radio("Are you running the the whole league or certain teams?", ('All Teams', 'Specific Teams'))
         pos_split2 = st.radio("Are you viewing all positions or specific positions?", ('All Positions', 'Specific Positions'))      
         if pos_split2 == 'Specific Positions':
-            pos_var2 = st.multiselect('What Positions would you like to view?', options = ['RB', 'WR', 'TE'])
+            if stat_type_var2 == 'WR/TE Coverage Matchups':
+                pos_var2 = st.multiselect('What Positions would you like to view?', options = ['RB', 'WR', 'TE'])
+            elif stat_type_var2 == 'Ownership Trends':
+                pos_var2 = st.multiselect('What Positions would you like to view?', options = ['QB', 'RB', 'WR', 'TE', 'DST'])
         elif pos_split2 == 'All Positions':
             pos_var2 = pos_list 
         if split_var2 == 'Specific Teams':
@@ -218,13 +200,19 @@ with tab2:
             slate_table_instance = slate_table_instance[slate_table_instance['Position'].isin(pos_var2)]
             slate_table_instance = slate_table_instance[slate_table_instance['Avg Routes'] >= routes_var2[0]]
             slate_table_instance = slate_table_instance[slate_table_instance['Avg Routes'] <= routes_var2[1]]
-            slate_table_instance = slate_table_instance.set_index('name')  
+            slate_table_instance = slate_table_instance.set_index('name')
+        elif stat_type_var2 == 'Ownership Trends':
+            slate_table_instance = trending_data
+            slate_table_instance = slate_table_instance[slate_table_instance['Team'].isin(team_var2)]  
+            slate_table_instance = slate_table_instance[slate_table_instance['Position'].isin(pos_var2)]
         elif stat_type_var1 == 'Nothing idk lol':
             slate_table_instance = wr_matchups
     
     with col2:
         if stat_type_var2 == 'WR/TE Coverage Matchups':
             st.dataframe(slate_table_instance.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').format(wr_matchups_form, precision=2), use_container_width = True)
+        elif stat_type_var2 == 'Ownership Trends':
+            st.dataframe(slate_table_instance.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').format(trending_form, precision=2), use_container_width = True)
         elif stat_type_var2 == 'Nothing idk lol':
             st.write('lol same bro but yo the vibes immaculate')
         if stat_type_var2 == 'WR/TE Coverage Matchups':