def _maybe_cache(arg, format, cache, convert_listlike):
"""
Create a cache of unique dates from an array of dates
Parameters
----------
arg : integer, float, string, datetime, list, tuple, 1-d array, Series
format : string
Strftime format to parse time
cache : boolean
True attempts to create a cache of converted values
convert_listlike : function
Conversion function to apply on dates
Returns
-------
cache_array : Series
Cache of converted, unique dates. Can be empty
"""
from pandas import Series
cache_array = Series()
if cache:
# Perform a quicker unique check
from pandas import Index
unique_dates = Index(arg).unique()
if len(unique_dates) < len(arg):
cache_dates = convert_listlike(unique_dates.to_numpy(), True,
format)
cache_array = Series(cache_dates, index=unique_dates)
return cache_array
def _maybe_cache(arg, format, cache, convert_listlike):
"""
Create a cache of unique dates from an array of dates
Parameters
----------
arg : integer, float, string, datetime, list, tuple, 1-d array, Series
format : string
Strftime format to parse time
cache : boolean
True attempts to create a cache of converted values
convert_listlike : function
Conversion function to apply on dates
Returns
-------
cache_array : Series
Cache of converted, unique dates. Can be empty
"""
from pandas import Series
cache_array = Series()
if cache:
# Perform a quicker unique check
from pandas import Index
unique_dates = Index(arg).unique()
if len(unique_dates) < len(arg):
cache_dates = convert_listlike(unique_dates.to_numpy(),
True, format)
cache_array = Series(cache_dates, index=unique_dates)
return cache_array