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from asv_bench.benchmarks.groupby import *
self = GroupByMethods()
self.setup('object', 'ffill', 'direct', 1)

%timeit self.time_dtype_as_group('object', 'ffill', 'direct', 1)
67.6 µs ± 708 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)  # <- PR
82 µs ± 2.24 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)  # <- master

@jreback jreback added Apply Apply, Aggregate, Transform, Map Performance Memory or execution speed performance labels Sep 16, 2021
@jreback jreback added this to the 1.4 milestone Sep 17, 2021
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greenish ex circleci

@jreback jreback merged commit 2d2e5be into pandas-dev:master Sep 17, 2021
@jbrockmendel jbrockmendel deleted the perf-make_block branch September 17, 2021 22:40
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