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Also fixes an incorrect asv.

In [2]: ts = pd.Timestamp.now("US/Pacific") In [3]: %timeit ts.day_name() 9.13 µs ± 309 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each) # <-- PR 26.4 µs ± 1.23 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each) # <-- master 
@jreback jreback added the Timezones Timezone data dtype label Jun 30, 2020
@jreback jreback added this to the 1.1 milestone Jun 30, 2020
@jreback jreback added the Performance Memory or execution speed performance label Jun 30, 2020
@jreback jreback merged commit de82b5e into pandas-dev:master Jun 30, 2020
@jbrockmendel jbrockmendel deleted the perf-timestamp-local branch July 1, 2020 00:52
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Performance Memory or execution speed performance Timezones Timezone data dtype

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