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Update app.py
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app.py
CHANGED
@@ -52,7 +52,8 @@ def init_baselines():
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raw_display = pd.DataFrame(list(cursor))
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hitter_gamelog_table = raw_display[['NameASCII', 'Team', 'Date', 'G', 'AB', 'PA', 'H', '1B', '2B', '3B', 'HR', 'R', 'RBI', 'BB', 'IBB', 'SO', 'HBP', 'SF', 'SH',
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'GDP', 'SB', 'CS', 'AVG', 'SLG', 'wRC+', 'LD%', 'GB%', 'FB%', 'Hard%', 'Barrels', 'Barrel%']]
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hitter_gamelog_table['Date'] = pd.to_datetime(hitter_gamelog_table['Date']
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data_cols = hitter_gamelog_table.columns.drop(['NameASCII', 'Team', 'Date'])
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hitter_gamelog_table[data_cols] = hitter_gamelog_table[data_cols].apply(pd.to_numeric, errors='coerce')
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@@ -70,7 +71,8 @@ def init_baselines():
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'vSL (sc)', 'vCU (sc)', 'vKC (sc)', 'vEP (sc)', 'vCH (sc)', 'vSC (sc)', 'vKN (sc)']]
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pitcher_gamelog_table.replace("", np.nan, inplace=True)
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pitcher_gamelog_table['Date'] = pd.to_datetime(pitcher_gamelog_table['Date']
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data_cols = pitcher_gamelog_table.columns.drop(['NameASCII', 'Team', 'Date'])
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pitcher_gamelog_table[data_cols] = pitcher_gamelog_table[data_cols].apply(pd.to_numeric, errors='coerce')
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raw_display = pd.DataFrame(list(cursor))
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hitter_gamelog_table = raw_display[['NameASCII', 'Team', 'Date', 'G', 'AB', 'PA', 'H', '1B', '2B', '3B', 'HR', 'R', 'RBI', 'BB', 'IBB', 'SO', 'HBP', 'SF', 'SH',
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'GDP', 'SB', 'CS', 'AVG', 'SLG', 'wRC+', 'LD%', 'GB%', 'FB%', 'Hard%', 'Barrels', 'Barrel%']]
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hitter_gamelog_table['Date'] = pd.to_datetime(hitter_gamelog_table['Date'])
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hitter_gamelog_table['Date'] = hitter_gamelog_table['Date'].dt.date
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data_cols = hitter_gamelog_table.columns.drop(['NameASCII', 'Team', 'Date'])
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hitter_gamelog_table[data_cols] = hitter_gamelog_table[data_cols].apply(pd.to_numeric, errors='coerce')
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'vSL (sc)', 'vCU (sc)', 'vKC (sc)', 'vEP (sc)', 'vCH (sc)', 'vSC (sc)', 'vKN (sc)']]
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pitcher_gamelog_table.replace("", np.nan, inplace=True)
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pitcher_gamelog_table['Date'] = pd.to_datetime(pitcher_gamelog_table['Date'])
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pitcher_gamelog_table['Date'] = pitcher_gamelog_table['Date'].dt.date
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data_cols = pitcher_gamelog_table.columns.drop(['NameASCII', 'Team', 'Date'])
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pitcher_gamelog_table[data_cols] = pitcher_gamelog_table[data_cols].apply(pd.to_numeric, errors='coerce')
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