Created
November 14, 2019 20:28
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holidays.py
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| summer_sales = pd.DataFrame({ | |
| 'holiday': 'summer_sales', | |
| 'ds': pd.date_range(start='1/07/2018', end='15/08/2018'), | |
| 'lower_window': -5, | |
| 'upper_window': 0, | |
| }) | |
| black_friday = pd.DataFrame({ | |
| 'holiday': 'black_friday', | |
| 'ds': pd.date_range(start='23/11/2018', end='23/11/2018'), | |
| 'lower_window': 0, | |
| 'upper_window': 0, | |
| }) | |
| christmas = pd.DataFrame({ | |
| 'holiday': 'christmas', | |
| 'ds': pd.date_range(start='15/12/2018', end='24/12/2018'), | |
| 'lower_window': 0, | |
| 'upper_window': 0, | |
| }) | |
| holidays = pd.concat((summer_sales, black_friday, christmas)) | |
| m_holidays = Prophet(yearly_seasonality=True, weekly_seasonality=False, holidays=holidays) | |
| m_holidays.add_country_holidays(country_name='IT') | |
| m_holidays.fit(df_quantile) |
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