Update app.py

app.py

@@ -37,6 +37,7 @@ csgo_losses = 'CSGO_Loss_Proj'
 overall_odds = 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013'
 RPL_odds = 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013'
 csgo_bo1 = 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013'
+two_map = 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013'
 csgo_bo3 = 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013'
 csgo_bo5 = 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013'
 player_baselines = 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013'
@@ -96,7 +97,7 @@ def load_roo_model(URL):
 @st.cache_data
 def load_overall_odds(URL):
     sh = gc.open_by_url(URL)
-    worksheet = sh.get_worksheet(12)
+    worksheet = sh.worksheet('Overall_Vegas')
     raw_display = pd.DataFrame(worksheet.get_all_records())
     raw_display['Odds'] = raw_display['Odds'].str.replace('%', '').astype(float)/100
 
@@ -105,7 +106,7 @@ def load_overall_odds(URL):
 @st.cache_data
 def load_rpl_odds(URL):
     sh = gc.open_by_url(URL)
-    worksheet = sh.get_worksheet(13)
+    worksheet = sh.worksheet('RPL_Vegas')
     raw_display = pd.DataFrame(worksheet.get_all_records())
     raw_display['Odds'] = raw_display['Odds'].str.replace('%', '').astype(float)/100
     raw_display['Vegas'] = raw_display['Vegas'].str.replace('%', '').astype(float)/100
@@ -116,7 +117,18 @@ def load_rpl_odds(URL):
 @st.cache_data
 def load_bo1_proj_model(URL):
     sh = gc.open_by_url(URL)
-    worksheet = sh.get_worksheet(3)
+    worksheet = sh.worksheet('Overall_BO1_Projections')
+    raw_display = pd.DataFrame(worksheet.get_all_records())
+    raw_display.rename(columns={"Name": "Player"}, inplace = True)
+    raw_display['Odds%'] = raw_display['Odds%'].str.replace('%', '').astype(float)/100
+    raw_display = raw_display.sort_values(by='Kills', ascending=False)
+
+    return raw_display
+
+@st.cache_data
+def load_bo2_proj_model(URL):
+    sh = gc.open_by_url(URL)
+    worksheet = sh.worksheet('2_map_projections')
     raw_display = pd.DataFrame(worksheet.get_all_records())
     raw_display.rename(columns={"Name": "Player"}, inplace = True)
     raw_display['Odds%'] = raw_display['Odds%'].str.replace('%', '').astype(float)/100
@@ -127,7 +139,7 @@ def load_bo1_proj_model(URL):
 @st.cache_data
 def load_bo3_proj_model(URL):
     sh = gc.open_by_url(URL)
-    worksheet = sh.get_worksheet(4)
+    worksheet = sh.worksheet('Overall_BO3_Projections')
     raw_display = pd.DataFrame(worksheet.get_all_records())
     raw_display.rename(columns={"Name": "Player"}, inplace = True)
     raw_display['Odds%'] = raw_display['Odds%'].str.replace('%', '').astype(float)/100
@@ -138,7 +150,7 @@ def load_bo3_proj_model(URL):
 @st.cache_data
 def load_bo5_proj_model(URL):
     sh = gc.open_by_url(URL)
-    worksheet = sh.get_worksheet(5)
+    worksheet = sh.worksheet('Overall_BO5_Projections')
     raw_display = pd.DataFrame(worksheet.get_all_records())
     raw_display.rename(columns={"Name": "Player"}, inplace = True)
     raw_display['Odds%'] = raw_display['Odds%'].str.replace('%', '').astype(float)/100
@@ -149,7 +161,7 @@ def load_bo5_proj_model(URL):
 @st.cache_data
 def load_slate_baselines(URL):
     sh = gc.open_by_url(URL)
-    worksheet = sh.get_worksheet(6)
+    worksheet = sh.worksheet('Player_Data')
     raw_display = pd.DataFrame(worksheet.get_all_records())
     raw_display.rename(columns={"Name": "Player"}, inplace = True)
     raw_display = raw_display.sort_values(by='Kills/Round', ascending=False)
@@ -158,7 +170,7 @@ def load_slate_baselines(URL):
 
 hold_display = load_roo_model(csgo_overall)
 
-tab1, tab2, tab3, tab4 = st.tabs(["CSGO Odds Tables", "CSGO Range of Outcomes", "CSGO Player Stat Projections", "CSGO Slate Baselines"])
+tab1, tab2, tab3, tab4, tab5 = st.tabs(["CSGO Odds Tables", "CSGO Range of Outcomes", "CSGO Player Stat Projections", "CSGO Slate Baselines", '2-map Projections'])
 
 def convert_df_to_csv(df):
     return df.to_csv().encode('utf-8')
@@ -251,4 +263,19 @@ with tab4:
         data=convert_df_to_csv(display),
         file_name='CSGO_Baselines_export.csv',
         mime='text/csv',
+    )
+
+with tab5:
+    if st.button("Reset Data", key='reset5'):
+              # Clear values from *all* all in-memory and on-disk data caches:
+              # i.e. clear values from both square and cube
+              st.cache_data.clear()
+    hold_display = load_slate_baselines(two_map)
+    display = hold_display.set_index('Player')
+    st.dataframe(display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+    st.download_button(
+        label="Export Baselines",
+        data=convert_df_to_csv(display),
+        file_name='CSGO_2_map_export.csv',
+        mime='text/csv',
     )