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Merged
merged 2 commits into from
Apr 30, 2023
Merged

PERF: faster access to the dtype for masked numeric arrays #52998

merged 2 commits into from
Apr 30, 2023

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topper-123
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@topper-123 topper-123 commented Apr 29, 2023 •
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>>> import pandas as pd
>>> arr = pd.array(np.arange(100_000), dtype="Int32")
>>> %%timeit
... arr.dtype
... del arr._cache["dtype"]
2.09 µs ± 14.2 ns per loop  # main
234 ns ± 0.237 ns per loop  # this PR

Discovered working on some performance issues with #52836.

@jbrockmendel
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nice!

@phofl phofl added Performance Memory or execution speed performance NA - MaskedArrays Related to pd.NA and nullable extension arrays labels Apr 30, 2023
@phofl phofl added this to the 2.1 milestone Apr 30, 2023
@phofl phofl merged commit 37e9e06 into pandas-dev:main Apr 30, 2023
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phofl commented Apr 30, 2023

thx @topper-123

@topper-123 topper-123 deleted the perf_masked_dtypes branch April 30, 2023 12:28
@topper-123 topper-123 mentioned this pull request May 2, 2023
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topper-123 added a commit to topper-123/pandas that referenced this pull request May 7, 2023
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PERF: faster access to the dtype for masked numeric arrays (pandas-de…
54863eb 
…v#52998)
Rylie-W pushed a commit to Rylie-W/pandas that referenced this pull request May 19, 2023
@topper-123
PERF: faster access to the dtype for masked numeric arrays (pandas-de…
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…v#52998)
Daquisu pushed a commit to Daquisu/pandas that referenced this pull request Jul 8, 2023
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PERF: faster access to the dtype for masked numeric arrays (pandas-de…
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…v#52998)
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@phofl phofl phofl approved these changes

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