PERF: enable caching on expensive offsets (original) (raw)
xref #16463
We have a set of seemingly unused but also seemingly functional caching logic for generating ranges of offsets. Example
In [63]: BM = pd.offsets.BusinessMonthEnd()
In [64]: %timeit pd.date_range('1990-01-01', '2020-01-01', freq=BM) 18.1 ms ± 366 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
In [65]: BM._cacheable Out[65]: False
In [66]: BM._cacheable = True
In [67]: %timeit pd.date_range('1990-01-01', '2020-01-01', freq=BM) 686 µs ± 17.2 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)
In [68]: a = pd.date_range('1990-01-01', '2020-01-01', freq='BM')
In [69]: b = pd.date_range('1990-01-01', '2020-01-01', freq=BM)
In [70]: (a == b).all() Out[70]: True
Possibly should enable or expose an API for this? Especially for slower offsets.