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PERF: numpy dtype checks #52582

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Merged
merged 3 commits into from
Apr 12, 2023
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jbrockmendel
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  • 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.

@mroeschke mroeschke added the Performance Memory or execution speed performance label Apr 10, 2023
@mroeschke mroeschke added this to the 2.1 milestone Apr 12, 2023
@mroeschke mroeschke merged commit 1307353 into pandas-dev:main Apr 12, 2023
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Thanks @jbrockmendel

@jbrockmendel jbrockmendel deleted the perf-is_dtype branch April 12, 2023 22:58
mroeschke pushed a commit to mroeschke/pandas that referenced this pull request Apr 13, 2023
mroeschke added a commit that referenced this pull request Apr 14, 2023
* BUG: dt.days for timedelta non-nano overflows int32

* Run precommit

* lint

* Address code check failures

* Add whatsnew

* PERF: numpy dtype checks (#52582)

* CLN: Use #pragma once instead of include guards (#52635)

Use #pragma once

* Refactored custom datetime functions (#52634)

refactored custom datetime functions

* BLD: Add DLL hashes to RECORD (#52556)

* CI: Remove ArrayManager job (#52637)

* DOC: Remove notes to old Python/package versions (#52640)

* STYLE sort whatsnew entries alphabeticaly, allow for trailing full stops (#52598)

* allow for trailing full stops in sort-whatsnew-entries hook

* sort alphabetically instead

---------

Co-authored-by: MarcoGorelli <>

* Fix redundant entries

* remove redundant entries

---------

Co-authored-by: jbrockmendel <[email protected]>
Co-authored-by: William Ayd <[email protected]>
Co-authored-by: Thomas Li <[email protected]>
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