Added season numbers

app.py

@@ -47,7 +47,7 @@ def init_baselines():
     raw_display = raw_display.reset_index(drop=True)
     trend_table = raw_display[raw_display['PLAYER_NAME'] != ""]
     trend_table.replace('', np.nan, inplace=True)
-    trend_table = trend_table[['PLAYER_NAME', 'Team', 'Position', 'FD_Position', 'L10 MIN', 'L10 Fantasy', 'L10 FPPM', 'L10 Ceiling', 'L10 FD_Fantasy',
+    trend_table = trend_table[['PLAYER_NAME', 'Team', 'Position', 'FD_Position', 'Season MIN', 'Season Fantasy', 'Season FPPM', 'Season Ceiling', 'Season FD_Fantasy', 'Season FD_Ceiling', 'L10 MIN', 'L10 Fantasy', 'L10 FPPM', 'L10 Ceiling', 'L10 FD_Fantasy',
                                'L10 FD_Ceiling', 'L5 MIN', 'L5 Fantasy', 'L5 FPPM', 'L5 Ceiling', 'L5 FD_Fantasy', 'L5 FD_Ceiling', 'L3 MIN', 'L3 Fantasy',
                                'L3 FPPM', 'L3 Ceiling', 'L3 FD_Fantasy', 'L3 FD_Ceiling', 'Trend Min', 'Trend Median', 'Trend FPPM', 'DK_Proj', 'Adj Median', 'Adj Ceiling',
                                'Trend FD_Median', 'FD_Proj', 'Adj FD_Median', 'Adj FD_Ceiling', 'DK_Salary', 'DK_Avg_Val', 'DK_Ceiling_Value',
@@ -58,17 +58,17 @@ def init_baselines():
     data_cols = trend_table.columns.drop(['PLAYER_NAME', 'Team', 'Position', 'FD_Position'])
     trend_table[data_cols] = trend_table[data_cols].apply(pd.to_numeric, errors='coerce')
     
-    dk_minutes_table = trend_table[['PLAYER_NAME', 'Team', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min']]
+    dk_minutes_table = trend_table[['PLAYER_NAME', 'Team', 'Season MIN', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min']]
     
-    fd_minutes_table = trend_table[['PLAYER_NAME', 'Team', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min']]
+    fd_minutes_table = trend_table[['PLAYER_NAME', 'Team', 'Season MIN', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min']]
     
-    dk_medians_table = trend_table[['PLAYER_NAME', 'Team', 'L10 Fantasy', 'L5 Fantasy', 'L3 Fantasy', 'Trend Median']]
+    dk_medians_table = trend_table[['PLAYER_NAME', 'Team', 'Season Fantasy', 'L10 Fantasy', 'L5 Fantasy', 'L3 Fantasy', 'Trend Median']]
     
-    fd_medians_table = trend_table[['PLAYER_NAME', 'Team', 'L10 FD_Fantasy', 'L5 FD_Fantasy', 'L3 FD_Fantasy', 'Trend FD_Median']]
+    fd_medians_table = trend_table[['PLAYER_NAME', 'Team', 'Season FD_Fantasy', 'L10 FD_Fantasy', 'L5 FD_Fantasy', 'L3 FD_Fantasy', 'Trend FD_Median']]
 
-    dk_fppm_table = trend_table[['PLAYER_NAME', 'Team', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM']]
+    dk_fppm_table = trend_table[['PLAYER_NAME', 'Team', 'Season FPPM', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM']]
     
-    fd_fppm_table = trend_table[['PLAYER_NAME', 'Team', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM']]
+    fd_fppm_table = trend_table[['PLAYER_NAME', 'Team', 'Season FPPM', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM']]
     
     dk_proj_medians_table = trend_table[['PLAYER_NAME', 'Team', 'Position', 'DK_Salary', 'DK_Proj', 'Adj Median', 'DK_Avg_Val', 'Adj Ceiling', 'DK_Ceiling_Value']]
     
@@ -89,32 +89,30 @@ with col1:
     split_var1 = st.radio("What table would you like to view?", ('Minutes Trends', 'Fantasy Trends', 'FPPM Trends', 'Slate specific', 'Overall'), key='split_var1')
     site_var1 = st.radio("What site would you like to view?", ('Draftkings', 'Fanduel'), key='site_var1')
     if site_var1 == 'Draftkings':
-        trend_table = trend_table[['PLAYER_NAME', 'Team', 'Position', 'L10 MIN', 'L10 Fantasy', 'L10 FPPM', 'L10 Ceiling',
-                                   'L5 MIN', 'L5 Fantasy', 'L5 FPPM', 'L5 Ceiling', 'L3 MIN', 'L3 Fantasy',
-                                   'L3 FPPM', 'L3 Ceiling', 'Trend Min', 'Trend Median', 'Trend FPPM', 'DK_Proj', 'Adj Median', 'Adj Ceiling',
+        trend_table = trend_table[['PLAYER_NAME', 'Team', 'Position', 'Season MIN', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min', 'Season Fantasy', 'L10 Fantasy', 'L5 Fantasy', 'L3 Fantasy',
+                                   'Trend Median', 'Season FPPM', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM', 'DK_Proj', 'Adj Median', 'Adj Ceiling',
                                    'DK_Salary', 'DK_Avg_Val', 'DK_Ceiling_Value']]
         minutes_table = dk_minutes_table
         medians_table = dk_medians_table
         fppm_table = dk_fppm_table
         proj_medians_table = dk_proj_medians_table
     elif site_var1 == 'Fanduel':
-        trend_table = trend_table[['PLAYER_NAME', 'Team', 'FD_Position', 'L10 MIN', 'L10 FD_Fantasy', 'L10 FPPM', 'L10 FD_Ceiling',
-                                   'L5 MIN', 'L5 FD_Fantasy', 'L5 FPPM', 'L5 FD_Ceiling', 'L3 MIN', 'L3 FD_Fantasy', 'L3 FPPM', 'L3 FD_Ceiling',
-                                   'Trend Min', 'Trend FD_Median', 'Trend FPPM', 'FD_Proj', 'Adj FD_Median', 'Adj FD_Ceiling',
+        trend_table = trend_table[['PLAYER_NAME', 'Team', 'FD_Position', 'Season MIN', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min', 'Season FD_Fantasy', 'L10 FD_Fantasy', 'L5 FD_Fantasy', 'L3 FD_Fantasy',
+                                   'Trend FD_Median', 'Season FPPM', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM', 'FD_Proj', 'Adj FD_Median', 'Adj FD_Ceiling',
                                    'FD_Salary', 'FD_Avg_Val', 'FD_Ceiling_Value']]
         minutes_table = fd_minutes_table
         medians_table = fd_medians_table
         fppm_table = fd_fppm_table
         proj_medians_table = fd_proj_medians_table
-    trend_table = trend_table.set_axis(['PLAYER_NAME', 'Team', 'Position', 'L10 MIN', 'L10 Fantasy', 'L10 FPPM', 'L10 Ceiling',
-                                        'L5 MIN', 'L5 Fantasy', 'L5 FPPM', 'L5 Ceiling', 'L3 MIN', 'L3 Fantasy',
-                                        'L3 FPPM', 'L3 Ceiling', 'Trend Min', 'Trend Median', 'Trend FPPM', 'FD_Proj', 'Adj FD_Median', 'Adj FD_Ceiling',
+    trend_table = trend_table.set_axis(['PLAYER_NAME', 'Team', 'Position', 'Season MIN', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min', 'Season Fantasy', 'L10 Fantasy', 'L5 Fantasy', 'L3 Fantasy',
+                                        'Trend Median', 'Season FPPM', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM', 'DK_Proj', 'Adj Median', 'Adj Ceiling',
+                                        'DK_Salary', 'DK_Avg_Val', 'DK_Ceiling_Value', 'FD_Proj', 'Adj FD_Median', 'Adj FD_Ceiling',
                                         'FD_Salary', 'FD_Avg_Val', 'FD_Ceiling_Value'], axis=1)
-    minutes_table = minutes_table.set_axis(['PLAYER_NAME', 'Team', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min'], axis=1)
-    medians_table = medians_table.set_axis(['PLAYER_NAME', 'Team', 'L10 Fantasy','L5 Fantasy', 'L3 Fantasy', 'Trend Median'], axis=1)
-    fppm_table = fppm_table.set_axis(['PLAYER_NAME', 'Team', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM'], axis=1)
-    proj_medians_table = proj_medians_table.set_axis(['PLAYER_NAME', 'Team', 'Position', 'Salary', 'Proj',
-                                                      'Adj Median', 'Avg_Val', 'Adj Ceiling', 'Ceiling_Value'], axis=1)
+    minutes_table = minutes_table.set_axis(['PLAYER_NAME', 'Team', 'Season MIN', 'L10 MIN', 'L5 MIN', 'L3 MIN', 'Trend Min'], axis=1)
+    medians_table = medians_table.set_axis(['PLAYER_NAME', 'Team', 'Season Fantasy', 'L10 Fantasy', 'L5 Fantasy', 'L3 Fantasy', 'Trend Median'], axis=1)
+    fppm_table = fppm_table.set_axis(['PLAYER_NAME', 'Team', 'Season FPPM', 'L10 FPPM', 'L5 FPPM', 'L3 FPPM', 'Trend FPPM'], axis=1)
+    proj_medians_table = proj_medians_table.set_axis(['PLAYER_NAME', 'Team', 'Position', 'DK_Salary', 'DK_Proj', 'Adj Median', 'DK_Avg_Val', 'Adj Ceiling', 'DK_Ceiling_Value',
+                                                      'FD_Salary', 'FD_Proj', 'Adj FD_Median', 'FD_Avg_Val', 'Adj FD_Ceiling', 'FD_Ceiling_Value'], axis=1)
     if split_var1 == 'Overall':
         view_var1 = trend_table.Team.values.tolist()
         split_var2 = st.radio("Would you like to view all teams or specific ones?", ('All', 'Specific Teams'), key='split_var2')