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Update app.py
Browse files
app.py
CHANGED
@@ -48,14 +48,14 @@ def init_baselines():
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except ValueError:
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pass # Ignore columns that cannot be converted
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-
qb_frame = qb_frame.sort_values(by='
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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 $']]
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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')
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@@ -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='
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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')
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@@ -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='
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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')
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@@ -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='
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return qb_frame, rb_frame, wr_frame, flex_frame
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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)
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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')
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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='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')
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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='GPP Rank', 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 $', 'GPP Rank']]
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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')
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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='GPP Rank', ascending=False)
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return qb_frame, rb_frame, wr_frame, flex_frame
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