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PERF: Improve performance with copy=True and different dtype #52054

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Merged
merged 2 commits into from
Mar 20, 2023
Merged

PERF: Improve performance with copy=True and different dtype #52054

merged 2 commits into from
Mar 20, 2023

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@phofl phofl commented Mar 17, 2023

  • closes #xxxx (Replace xxxx with the GitHub issue number)
  • Tests added and passed if fixing a bug or adding a new feature
  • All code checks passed.
  • Added type annotations to new arguments/methods/functions.
  • Added an entry in the latest doc/source/whatsnew/vX.X.X.rst file if fixing a bug or adding a new feature.

This cuts runtime roughly in half when dtype is different than the dtype from values

# main %timeit DataFrame(arr, dtype="int32", copy=True) 6.01 ms ± 37.9 µs per loop (mean ± std. dev. of 7 runs, 100 loops each) # pr %timeit DataFrame(arr, dtype="int32", copy=True) 3.54 ms ± 25.4 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
@phofl phofl added this to the 2.0 milestone Mar 18, 2023
@phofl phofl added Performance Memory or execution speed performance DataFrame DataFrame data structure labels Mar 18, 2023
@mroeschke mroeschke merged commit 7b93b06 into pandas-dev:main Mar 20, 2023
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mroeschke commented Mar 20, 2023

Thanks @phofl
@meeseeksmachine meeseeksmachine mentioned this pull request Mar 20, 2023
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meeseeksmachine pushed a commit to meeseeksmachine/pandas that referenced this pull request Mar 20, 2023
@phofl @meeseeksmachine
Backport PR pandas-dev#52054: PERF: Improve performance with copy=Tru…
a51c5a3 
…e and different dtype
mroeschke pushed a commit that referenced this pull request Mar 20, 2023
@meeseeksmachine @phofl
Backport PR #52054 on branch 2.0.x (PERF: Improve performance with co…
eccf9bd 
…py=True and different dtype) (#52088) Backport PR #52054: PERF: Improve performance with copy=True and different dtype Co-authored-by: Patrick Hoefler <61934744+phofl@users.noreply.github.com>
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DataFrame DataFrame data structure Performance Memory or execution speed performance

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