Skip to content

PERF: DataFrame._reduce #43243

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Aug 30, 2021
Merged

PERF: DataFrame._reduce #43243

merged 1 commit into from
Aug 30, 2021

Conversation

jbrockmendel
Copy link
Member

from asv_bench.benchmarks.groupby import *

self = GroupByMethods()
self.setup("int", "skew", "direct", 2)

%timeit self.time_dtype_as_group("int", "skew", "direct", 2)
434 ms ± 17.9 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)  # <- master
367 ms ± 8.51 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)  # <- PR

@jbrockmendel jbrockmendel added the Performance Memory or execution speed performance label Aug 27, 2021
@jreback jreback added this to the 1.4 milestone Aug 30, 2021
@jreback jreback merged commit 7e05bcd into pandas-dev:master Aug 30, 2021
@jbrockmendel jbrockmendel deleted the perf-reduce branch August 30, 2021 15:16
feefladder pushed a commit to feefladder/pandas that referenced this pull request Sep 7, 2021
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Performance Memory or execution speed performance
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants