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Commit
cc34b57
1 Parent(s): fa9cbf0

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +9 -6
app.py CHANGED
@@ -62,8 +62,9 @@ def init_baselines():
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  raw_display = raw_display[['Player', 'Position', 'Team', 'Opp', 'Minutes', '3P', 'Points', 'Rebounds', 'Assists', 'Steals', 'Blocks', 'Turnovers', 'Fantasy']]
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  player_stats = raw_display[raw_display['Minutes'] > 0]
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- player_stats['Player'].replace(['Jaren Jackson', 'Nic Claxton', 'Jabari Smith', 'Lu Dort', 'Moe Wagner', 'Kyle Kuzma', 'Trey Murphy'],
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- ['Jaren Jackson Jr.', 'Nicolas Claxton', 'Jabari Smith Jr.', 'Luguentz Dort', 'Moritz Wagner', 'Kyle Kuzma Jr.', 'Trey Murphy III'], inplace=True)
 
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  worksheet = sh.worksheet('Timestamp')
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  timestamp = worksheet.acell('A1').value
@@ -78,10 +79,12 @@ def init_baselines():
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  raw_display.replace('', np.nan, inplace=True)
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  pick_frame = raw_display.dropna(subset='Player')
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- prop_frame['Player'].replace(['Jaren Jackson', 'Nic Claxton', 'Jabari Smith', 'Lu Dort', 'Moe Wagner', 'Kyle Kuzma', 'Trey Murphy'],
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- ['Jaren Jackson Jr.', 'Nicolas Claxton', 'Jabari Smith Jr.', 'Luguentz Dort', 'Moritz Wagner', 'Kyle Kuzma Jr.', 'Trey Murphy III'], inplace=True)
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- pick_frame['Player'].replace(['Jaren Jackson', 'Nic Claxton', 'Jabari Smith', 'Lu Dort', 'Moe Wagner', 'Kyle Kuzma', 'Trey Murphy'],
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- ['Jaren Jackson Jr.', 'Nicolas Claxton', 'Jabari Smith Jr.', 'Luguentz Dort', 'Moritz Wagner', 'Kyle Kuzma Jr.', 'Trey Murphy III'], inplace=True)
 
 
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  return game_model, player_stats, prop_frame, pick_frame, timestamp
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  def convert_df_to_csv(df):
 
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  raw_display = raw_display[['Player', 'Position', 'Team', 'Opp', 'Minutes', '3P', 'Points', 'Rebounds', 'Assists', 'Steals', 'Blocks', 'Turnovers', 'Fantasy']]
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  player_stats = raw_display[raw_display['Minutes'] > 0]
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+ player_stats['Player'].replace(['Jaren Jackson', 'Nic Claxton', 'Jabari Smith', 'Lu Dort', 'Moe Wagner', 'Kyle Kuzma', 'Trey Murphy', 'Cameron Thomas'],
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+ ['Jaren Jackson Jr.', 'Nicolas Claxton', 'Jabari Smith Jr.', 'Luguentz Dort', 'Moritz Wagner', 'Kyle Kuzma Jr.',
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+ 'Trey Murphy III', 'Cam Thomas'], inplace=True)
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  worksheet = sh.worksheet('Timestamp')
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  timestamp = worksheet.acell('A1').value
 
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  raw_display.replace('', np.nan, inplace=True)
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  pick_frame = raw_display.dropna(subset='Player')
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+ prop_frame['Player'].replace(['Jaren Jackson', 'Nic Claxton', 'Jabari Smith', 'Lu Dort', 'Moe Wagner', 'Kyle Kuzma', 'Trey Murphy', 'Cameron Thomas'],
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+ ['Jaren Jackson Jr.', 'Nicolas Claxton', 'Jabari Smith Jr.', 'Luguentz Dort', 'Moritz Wagner', 'Kyle Kuzma Jr.',
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+ 'Trey Murphy III', 'Cam Thomas'], inplace=True)
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+ pick_frame['Player'].replace(['Jaren Jackson', 'Nic Claxton', 'Jabari Smith', 'Lu Dort', 'Moe Wagner', 'Kyle Kuzma', 'Trey Murphy', 'Cameron Thomas'],
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+ ['Jaren Jackson Jr.', 'Nicolas Claxton', 'Jabari Smith Jr.', 'Luguentz Dort', 'Moritz Wagner', 'Kyle Kuzma Jr.',
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+ 'Trey Murphy III', 'Cam Thomas'], inplace=True)
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  return game_model, player_stats, prop_frame, pick_frame, timestamp
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  def convert_df_to_csv(df):