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Most of the usages are unnecessary bc we go through the DTA/TDA constructors. After this there is only one left, and that will be removed by #48670

@mroeschke mroeschke added the Refactor Internal refactoring of code label Oct 10, 2022
# Timestamps like
# TODO 2022-10-08 we only have one test that gets here and
# values are already in nanoseconds in that case.
self.grouping_vector = Series(self.grouping_vector).to_numpy()
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So Series(...).to_numpy() will coerce to nanos and then output to numpy? Is this a lot slower than sanitize_to_nanoseconds?

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So Series(...).to_numpy() will coerce to nanos and then output to numpy?

Yes.

Is this a lot slower than sanitize_to_nanoseconds?

A bit. Adds about 65 microseconds.

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Okay. I guess that's a fair tradeoff for being able to clean up sanitize_to_nanoseconds in #48670

@mroeschke mroeschke added the Datetime Datetime data dtype label Oct 10, 2022
@mroeschke mroeschke added this to the 1.6 milestone Oct 10, 2022
@mroeschke mroeschke merged commit 582377f into pandas-dev:main Oct 10, 2022
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Thanks @jbrockmendel

@mroeschke mroeschke modified the milestones: 1.6, 2.0 Oct 13, 2022
noatamir pushed a commit to noatamir/pandas that referenced this pull request Nov 9, 2022
* REF: avoid sanitize_to_nanoseconds

* fix test
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