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https://github.com/saymrwulf/prophet.git
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95fa4460a9
* Allow both both hoidays and append holidays Match holidays in predict and fit Add test for append_holiday features; minor fixes Add column name validation for append_holidays names; allow only one country Fix bug about holiday year different from input year and also other bugs Change function description Add append holiday feature for R * Add test for R/Pyrhon; fix bugs
62 lines
2.3 KiB
Python
62 lines
2.3 KiB
Python
# Copyright (c) 2017-present, Facebook, Inc.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree. An additional grant
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# of patent rights can be found in the PATENTS file in the same directory.
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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import pandas as pd
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import numpy as np
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import warnings
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import holidays as hdays_part1
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import fbprophet.hdays as hdays_part2
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import inspect
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def generate_holidays_file():
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"""Generate csv file of all possible holiday names, ds,
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and countries, year combination
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"""
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years = np.arange(1995, 2045, 1)
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all_holidays = []
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# class names in holiday packages which are not countries
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class_to_exclude = set(['rd', 'datetime', 'date', 'HolidayBase', 'Calendar',
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'LunarDate', 'timedelta', 'date'])
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class_list2 = inspect.getmembers(hdays_part2, inspect.isclass)
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country_set2 = set(list(zip(*class_list2))[0])
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country_set2 -= class_to_exclude
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for country in country_set2:
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with warnings.catch_warnings():
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warnings.simplefilter("ignore")
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temp = getattr(hdays_part2, country)(years=years)
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temp_df = pd.DataFrame(list(temp.items()),
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columns=['ds', 'holiday'])
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temp_df['country'] = country
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all_holidays.append(temp_df)
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class_list1 = inspect.getmembers(hdays_part1, inspect.isclass)
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country_set1 = set(list(zip(*class_list1))[0])
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country_set1 -= class_to_exclude
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# Avoid overwrting holidays get from hdays_part2
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country_set1 -= country_set2
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for country in country_set1:
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temp = getattr(hdays_part1, country)(years=years)
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temp_df = pd.DataFrame(list(temp.items()),
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columns=['ds', 'holiday'])
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temp_df['country'] = country
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all_holidays.append(temp_df)
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generated_holidays = pd.concat(all_holidays, axis=0, ignore_index=True)
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generated_holidays['year'] = generated_holidays.ds.apply(lambda x: x.year)
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generated_holidays.to_csv("../R/data-raw/generated_holidays.csv")
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if __name__ == "__main__":
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# execute only if run as a script
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generate_holidays_file()
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