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  • closes #xxxx
  • tests added / passed
  • Ensure all linting tests pass, see here for how to run them
  • whatsnew entry

This is yak-shaving the trails back to a bug in Series.where with nullable dtypes.

from pandas._libs.lib import *

arr = np.empty(10**6, dtype=bool).astype(object)

%timeit is_bool_array(arr)
8.87 ms ± 28.4 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)  # <- master
5.33 ms ± 11.8 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)  # <- PR

@jreback jreback added the Performance Memory or execution speed performance label Nov 17, 2021
@jreback jreback added this to the 1.4 milestone Nov 17, 2021
@jreback jreback merged commit 6240b1f into pandas-dev:master Nov 17, 2021
@jbrockmendel jbrockmendel deleted the perf-is_bool_array-noravel branch November 17, 2021 15:14
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