CLN: assorted

[jbrockmendel]

• 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]

Thanks @jbrockmendel

[rhshadrach]

This patch may have induced a potential regression. Please check the links below. If any ASVs are parameterized, the combinations of parameters that a regression has been detected appear as subbullets. This is a partially automated message.

• https://asv-runner.github.io/asv-collection/pandas/#groupby.GroupByMethods.time_dtype_as_field
  • dtype='datetime'; method='bfill'; application='direct'; ncols=1
  • dtype='datetime'; method='bfill'; application='direct'; ncols=5
  • dtype='datetime'; method='bfill'; application='transformation'; ncols=1
  • dtype='datetime'; method='bfill'; application='transformation'; ncols=5
  • dtype='datetime'; method='diff'; application='direct'; ncols=1
  • dtype='datetime'; method='diff'; application='direct'; ncols=5
  • dtype='datetime'; method='diff'; application='transformation'; ncols=1
  • dtype='datetime'; method='diff'; application='transformation'; ncols=5
  • dtype='datetime'; method='ffill'; application='direct'; ncols=1
  • dtype='datetime'; method='ffill'; application='direct'; ncols=5
  • dtype='datetime'; method='ffill'; application='transformation'; ncols=1
  • dtype='datetime'; method='ffill'; application='transformation'; ncols=5
  • dtype='datetime'; method='first'; application='transformation'; ncols=1
  • dtype='datetime'; method='first'; application='transformation'; ncols=5
  • dtype='datetime'; method='last'; application='transformation'; ncols=1
  • dtype='datetime'; method='last'; application='transformation'; ncols=5
  • dtype='datetime'; method='max'; application='transformation'; ncols=1
  • dtype='datetime'; method='max'; application='transformation'; ncols=5
  • dtype='datetime'; method='min'; application='transformation'; ncols=1
  • dtype='datetime'; method='min'; application='transformation'; ncols=5
  • dtype='datetime'; method='quantile'; application='transformation'; ncols=1
  • dtype='datetime'; method='quantile'; application='transformation'; ncols=5
  • dtype='datetime'; method='shift'; application='direct'; ncols=1
  • dtype='datetime'; method='shift'; application='direct'; ncols=5
  • dtype='datetime'; method='shift'; application='transformation'; ncols=1
  • dtype='datetime'; method='shift'; application='transformation'; ncols=5
• https://asv-runner.github.io/asv-collection/pandas/#inference.ToDatetimeCache.time_dup_seconds_and_unit
  • cache=T
• https://asv-runner.github.io/asv-collection/pandas/#inference.ToDatetimeCache.time_dup_string_dates
  • cache=T
• https://asv-runner.github.io/asv-collection/pandas/#inference.ToDatetimeCache.time_dup_string_dates_and_format
  • cache=T
• https://asv-runner.github.io/asv-collection/pandas/#inference.ToDatetimeCache.time_dup_string_tzoffset_dates
  • cache=T
• https://asv-runner.github.io/asv-collection/pandas/#io.csv.ParseDateComparison.time_read_csv_dayfirst
  • cache_dates=T
• https://asv-runner.github.io/asv-collection/pandas/#io.csv.ParseDateComparison.time_to_datetime_dayfirst
  • cache_dates=T
• https://asv-runner.github.io/asv-collection/pandas/#io.csv.ParseDateComparison.time_to_datetime_format_DD_MM_YYYY
  • cache_dates=T
• https://asv-runner.github.io/asv-collection/pandas/#io.csv.ReadCSVParseSpecialDate.time_read_special_date
  • value='hm'; engine='c'
  • value='mdY'; engine='c'
• https://asv-runner.github.io/asv-collection/pandas/#multiindex_object.SetOperations.time_operation
  • index_structure='monotonic'; dtype='datetime'; method='symmetric_difference'; sort=False
  • index_structure='non_monotonic'; dtype='datetime'; method='symmetric_difference'; sort=False
  • index_structure='non_monotonic'; dtype='datetime'; method='symmetric_difference'; sort=None
• https://asv-runner.github.io/asv-collection/pandas/#reshape.ReshapeExtensionDtype.time_unstack_fast
  • dtype='
• https://asv-runner.github.io/asv-collection/pandas/#reshape.ReshapeExtensionDtype.time_unstack_slow
  • dtype='
• https://asv-runner.github.io/asv-collection/pandas/#reshape.SimpleReshape.time_stack
• https://asv-runner.github.io/asv-collection/pandas/#reshape.SimpleReshape.time_unstack
• https://asv-runner.github.io/asv-collection/pandas/#reshape.SparseIndex.time_unstack