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Slightly faster for PeriodArray, no change for Period.

In [3]: pi = pd.period_range("2016-01-01", periods=100, freq="D")

In [4]: %timeit pi.asfreq("W")
43.5 µs ± 696 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)  # <-- master
36.3 µs ± 1.06 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)  # <-- PR

In [5]: per = pi[0]

In [6]: %timeit per.asfreq("W")
10.5 µs ± 88.7 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)  #  <-- master
10.5 µs ± 160 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)  # <-- PR

@jreback jreback added the Period Period data type label Jan 19, 2021
@jreback jreback added this to the 1.3 milestone Jan 19, 2021
@jreback jreback merged commit d40d0c5 into pandas-dev:master Jan 20, 2021
@jbrockmendel jbrockmendel deleted the ref-period_asfreq-share branch January 20, 2021 19:24
nofarm3 pushed a commit to nofarm3/pandas that referenced this pull request Jan 21, 2021
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