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Update app.py
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app.py
CHANGED
@@ -32,26 +32,26 @@ dataset_train = dataset['train']
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df_2023_mlb = dataset_train.to_pandas().set_index(list(dataset_train.features.keys())[0]).reset_index(drop=True)
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from api_scraper import MLB_Scrape
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mlb_stats = MLB_Scrape()
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schedule_spring = mlb_stats.get_schedule(year_input=2024,
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schedule_spring = schedule_spring.drop_duplicates(subset=['game_id'])
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schedule_spring = schedule_spring[(schedule_spring['date']==(datetime.today() - timedelta(hours=8)).date())]
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data = mlb_stats.get_data(schedule_spring.game_id[:].values)
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df_2023_new = mlb_stats.get_data_df(data_list = data)
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df_2023 = pd.concat([df_2023_mlb,df_2023_new])
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df_2023 = df_2023.drop_duplicates(subset=['play_id'],keep='last')
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df_2023_mlb = pd.concat([df_2023_mlb,df_2023_new])
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# ### Import Datasets
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df_2023_mlb = dataset_train.to_pandas().set_index(list(dataset_train.features.keys())[0]).reset_index(drop=True)
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# from api_scraper import MLB_Scrape
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# mlb_stats = MLB_Scrape()
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# schedule_spring = mlb_stats.get_schedule(year_input=2024,
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# sport_id=1,
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# start_date='2024-01-01',
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# end_date='2024-12-31',
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# final=False,
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# regular=True,
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# spring=False)
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# schedule_spring = schedule_spring.drop_duplicates(subset=['game_id'])
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# schedule_spring = schedule_spring[(schedule_spring['date']==(datetime.today() - timedelta(hours=8)).date())]
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# data = mlb_stats.get_data(schedule_spring.game_id[:].values)
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# df_2023_new = mlb_stats.get_data_df(data_list = data)
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# df_2023 = pd.concat([df_2023_mlb,df_2023_new])
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# df_2023 = df_2023.drop_duplicates(subset=['play_id'],keep='last')
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# df_2023_mlb = pd.concat([df_2023_mlb,df_2023_new])
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# ### Import Datasets
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