Multichem commited on
Commit
7e61f4f
·
verified ·
1 Parent(s): e85ca48

Update app.py

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Files changed (1) hide show
  1. app.py +7 -7
app.py CHANGED
@@ -48,14 +48,14 @@ def init_baselines():
48
  except ValueError:
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  pass # Ignore columns that cannot be converted
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51
- qb_frame = qb_frame.sort_values(by='PointsAvg', ascending=False)
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53
  worksheet = sh.worksheet('RB')
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  all_values = worksheet.get_all_values()
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  cell_vals = [row[0:11] for row in all_values[2:500]]
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  frame_hold = pd.DataFrame(cell_vals, columns=['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'blank', 'drop', 'drop2', 'drop3', 'GPP Rank'])
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  frame_hold['OwnAvg'] = frame_hold['OwnAvg'].str.replace('%', '').astype(float)/100
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- rb_frame = frame_hold[['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $']]
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  string_cols = ['Team']
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  rb_frame = rb_frame.drop_duplicates(subset='Player')
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  rb_frame = rb_frame.set_index('Player')
@@ -67,14 +67,14 @@ def init_baselines():
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  except ValueError:
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  pass # Ignore columns that cannot be converted
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- rb_frame = rb_frame.sort_values(by='PointsAvg', ascending=False)
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  worksheet = sh.worksheet('WR')
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  all_values = worksheet.get_all_values()
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  cell_vals = [row[0:11] for row in all_values[2:500]]
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  frame_hold = pd.DataFrame(cell_vals, columns=['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'blank', 'drop', 'drop2', 'drop3', 'GPP Rank'])
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  frame_hold['OwnAvg'] = frame_hold['OwnAvg'].str.replace('%', '').astype(float)/100
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- wr_frame = frame_hold[['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $']]
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  string_cols = ['Team']
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  wr_frame = wr_frame.drop_duplicates(subset='Player')
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  wr_frame = wr_frame.set_index('Player')
@@ -86,14 +86,14 @@ def init_baselines():
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  except ValueError:
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  pass # Ignore columns that cannot be converted
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- wr_frame = wr_frame.sort_values(by='PointsAvg', ascending=False)
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  worksheet = sh.worksheet('Flex')
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  all_values = worksheet.get_all_values()
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  cell_vals = [row[0:11] for row in all_values[2:500]]
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  frame_hold = pd.DataFrame(cell_vals, columns=['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'blank', 'drop', 'drop2', 'drop3', 'GPP Rank'])
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  frame_hold['OwnAvg'] = frame_hold['OwnAvg'].str.replace('%', '').astype(float)/100
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- flex_frame = frame_hold[['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $']]
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  string_cols = ['Team']
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  flex_frame = flex_frame.drop_duplicates(subset='Player')
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  flex_frame = flex_frame.set_index('Player')
@@ -105,7 +105,7 @@ def init_baselines():
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  except ValueError:
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  pass # Ignore columns that cannot be converted
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- flex_frame = flex_frame.sort_values(by='PointsAvg', ascending=False)
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  return qb_frame, rb_frame, wr_frame, flex_frame
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48
  except ValueError:
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  pass # Ignore columns that cannot be converted
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+ qb_frame = qb_frame.sort_values(by='GPP Rank', ascending=False)
52
 
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  worksheet = sh.worksheet('RB')
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  all_values = worksheet.get_all_values()
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  cell_vals = [row[0:11] for row in all_values[2:500]]
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  frame_hold = pd.DataFrame(cell_vals, columns=['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'blank', 'drop', 'drop2', 'drop3', 'GPP Rank'])
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  frame_hold['OwnAvg'] = frame_hold['OwnAvg'].str.replace('%', '').astype(float)/100
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+ rb_frame = frame_hold[['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'GPP Rank']]
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  string_cols = ['Team']
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  rb_frame = rb_frame.drop_duplicates(subset='Player')
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  rb_frame = rb_frame.set_index('Player')
 
67
  except ValueError:
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  pass # Ignore columns that cannot be converted
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+ rb_frame = rb_frame.sort_values(by='GPP Rank', ascending=False)
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  worksheet = sh.worksheet('WR')
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  all_values = worksheet.get_all_values()
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  cell_vals = [row[0:11] for row in all_values[2:500]]
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  frame_hold = pd.DataFrame(cell_vals, columns=['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'blank', 'drop', 'drop2', 'drop3', 'GPP Rank'])
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  frame_hold['OwnAvg'] = frame_hold['OwnAvg'].str.replace('%', '').astype(float)/100
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+ wr_frame = frame_hold[['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'GPP Rank']]
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  string_cols = ['Team']
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  wr_frame = wr_frame.drop_duplicates(subset='Player')
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  wr_frame = wr_frame.set_index('Player')
 
86
  except ValueError:
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  pass # Ignore columns that cannot be converted
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+ wr_frame = wr_frame.sort_values(by='GPP Rank', ascending=False)
90
 
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  worksheet = sh.worksheet('Flex')
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  all_values = worksheet.get_all_values()
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  cell_vals = [row[0:11] for row in all_values[2:500]]
94
  frame_hold = pd.DataFrame(cell_vals, columns=['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'blank', 'drop', 'drop2', 'drop3', 'GPP Rank'])
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  frame_hold['OwnAvg'] = frame_hold['OwnAvg'].str.replace('%', '').astype(float)/100
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+ flex_frame = frame_hold[['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'GPP Rank']]
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  string_cols = ['Team']
98
  flex_frame = flex_frame.drop_duplicates(subset='Player')
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  flex_frame = flex_frame.set_index('Player')
 
105
  except ValueError:
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  pass # Ignore columns that cannot be converted
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108
+ flex_frame = flex_frame.sort_values(by='GPP Rank', ascending=False)
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  return qb_frame, rb_frame, wr_frame, flex_frame
111