Update app.py

app.py

@@ -48,14 +48,14 @@ def init_baselines():
             except ValueError:
                 pass  # Ignore columns that cannot be converted
                 
-    qb_frame = qb_frame.sort_values(by='PointsAvg', ascending=False)
+    qb_frame = qb_frame.sort_values(by='GPP Rank', ascending=False)
     
     worksheet = sh.worksheet('RB')
     all_values = worksheet.get_all_values()
     cell_vals = [row[0:11] for row in all_values[2:500]]
     frame_hold = pd.DataFrame(cell_vals, columns=['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'blank', 'drop', 'drop2', 'drop3', 'GPP Rank'])
     frame_hold['OwnAvg'] = frame_hold['OwnAvg'].str.replace('%', '').astype(float)/100
-    rb_frame = frame_hold[['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $']]
+    rb_frame = frame_hold[['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'GPP Rank']]
     string_cols = ['Team']
     rb_frame = rb_frame.drop_duplicates(subset='Player')
     rb_frame = rb_frame.set_index('Player')
@@ -67,14 +67,14 @@ def init_baselines():
             except ValueError:
                 pass  # Ignore columns that cannot be converted
                 
-    rb_frame = rb_frame.sort_values(by='PointsAvg', ascending=False)
+    rb_frame = rb_frame.sort_values(by='GPP Rank', ascending=False)
     
     worksheet = sh.worksheet('WR')
     all_values = worksheet.get_all_values()
     cell_vals = [row[0:11] for row in all_values[2:500]]
     frame_hold = pd.DataFrame(cell_vals, columns=['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'blank', 'drop', 'drop2', 'drop3', 'GPP Rank'])
     frame_hold['OwnAvg'] = frame_hold['OwnAvg'].str.replace('%', '').astype(float)/100
-    wr_frame = frame_hold[['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $']]
+    wr_frame = frame_hold[['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'GPP Rank']]
     string_cols = ['Team']
     wr_frame = wr_frame.drop_duplicates(subset='Player')
     wr_frame = wr_frame.set_index('Player')
@@ -86,14 +86,14 @@ def init_baselines():
             except ValueError:
                 pass  # Ignore columns that cannot be converted
                 
-    wr_frame = wr_frame.sort_values(by='PointsAvg', ascending=False)
+    wr_frame = wr_frame.sort_values(by='GPP Rank', ascending=False)
     
     worksheet = sh.worksheet('Flex')
     all_values = worksheet.get_all_values()
     cell_vals = [row[0:11] for row in all_values[2:500]]
     frame_hold = pd.DataFrame(cell_vals, columns=['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'blank', 'drop', 'drop2', 'drop3', 'GPP Rank'])
     frame_hold['OwnAvg'] = frame_hold['OwnAvg'].str.replace('%', '').astype(float)/100
-    flex_frame = frame_hold[['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $']]
+    flex_frame = frame_hold[['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'GPP Rank']]
     string_cols = ['Team']
     flex_frame = flex_frame.drop_duplicates(subset='Player')
     flex_frame = flex_frame.set_index('Player')
@@ -105,7 +105,7 @@ def init_baselines():
             except ValueError:
                 pass  # Ignore columns that cannot be converted
                 
-    flex_frame = flex_frame.sort_values(by='PointsAvg', ascending=False)
+    flex_frame = flex_frame.sort_values(by='GPP Rank', ascending=False)
     
     return qb_frame, rb_frame, wr_frame, flex_frame