find_closest_date

pyhelpers.ops.find_closest_date(date, lookup_dates, as_datetime=False, fmt='%Y-%m-%d %H:%M:%S.%f')

Finds the closest date to a given date from a list of dates.

Parameters:

• date (str | datetime.datetime) – Date to find the closest match for.

• lookup_dates (Iterable) – Iterable of dates to search within.

• as_datetime (bool) – Whether to return the closest date as a datetime.datetime object; defaults to False which returns a string representation.

• fmt (str) – Format string for datetime parsing and formatting; defaults to '%Y-%m-%d %H:%M:%S.%f'.

Returns:

Closest date to the given date.

Return type:

str | datetime.datetime

Examples:

>>>

>>> from pyhelpers.ops import find_closest_date
>>> import pandas
>>> lookup_dates = pandas.date_range('2019-01-02', '2019-12-31')
>>> lookup_dates
DatetimeIndex(['2019-01-02', '2019-01-03', '2019-01-04', '2019-01-05',
               '2019-01-06', '2019-01-07', '2019-01-08', '2019-01-09',
               '2019-01-10', '2019-01-11',
               ...
               '2019-12-22', '2019-12-23', '2019-12-24', '2019-12-25',
               '2019-12-26', '2019-12-27', '2019-12-28', '2019-12-29',
               '2019-12-30', '2019-12-31'],
              dtype='datetime64[ns]', length=364, freq='D')
>>> date = '2019-01-01'
>>> closest_example_date = find_closest_date(date, lookup_dates)
>>> closest_example_date
'2019-01-02 00:00:00.000000'
>>> date = pandas.to_datetime('2019-01-01')
>>> closest_date = find_closest_date(date, lookup_dates, as_datetime=True)
>>> closest_date
Timestamp('2019-01-02 00:00:00', freq='D')