TST: Fixturize series/test_validate.py

[Anjali2019]

This is in reference to issue #22550

[pep8speaks]

Hello @Anjali2019! Thanks for submitting the PR.

• There are no PEP8 issues in the file pandas/tests/series/test_analytics.py !

• There are no PEP8 issues in the file pandas/tests/series/test_validate.py !

[h-vetinari]

Same comment as in #22771:
You have an open PR for test_analytics.py already, so you should remove that (git revert <hash>) from this PR.

More generally, make sure that you're on master (git checkout master) before you open a new branch.

On the plus side, all the CI failures are unrelated to your PR. Once you push a new commit, things should (hopefully) run through fine.

[Anjali2019]

Same comment as in #22771:
You have an open PR for test_analytics.py already, so you should remove that (git revert <hash>) from this PR.

More generally, make sure that you're on master (git checkout master) before you open a new branch.
Yes will make sure of that and will revert unrelated commits (y)

[codecov]

Codecov Report

Merging #22756 into master will increase coverage by 0.02%.
The diff coverage is n/a.

@@            Coverage Diff             @@
##           master   #22756      +/-   ##
==========================================
+ Coverage   92.16%   92.18%   +0.02%     
==========================================
  Files         169      169              
  Lines       50769    50810      +41     
==========================================
+ Hits        46791    46839      +48     
+ Misses       3978     3971       -7

Flag	Coverage Δ
#multiple	90.6% <ø> (+0.02%)	⬆️
#single	42.37% <ø> (+0.05%)	⬆️

Impacted Files	Coverage Δ
pandas/core/dtypes/base.py	100% <0%> (ø)	⬆️
pandas/core/generic.py	96.67% <0%> (ø)	⬆️
pandas/util/testing.py	86.03% <0%> (ø)	⬆️
pandas/core/frame.py	97.2% <0%> (ø)	⬆️
pandas/core/indexes/multi.py	95.45% <0%> (ø)	⬆️
pandas/io/formats/excel.py	97.4% <0%> (ø)	⬆️
pandas/core/arrays/categorical.py	95.75% <0%> (+0.01%)	⬆️
pandas/core/base.py	97.61% <0%> (+0.01%)	⬆️
pandas/core/arrays/datetimelike.py	95.53% <0%> (+0.02%)	⬆️
pandas/core/dtypes/dtypes.py	96.11% <0%> (+0.03%)	⬆️
... and 5 more

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[gfyoung]

LGTM!

cc @jreback

[jreback]

thanks @Anjali2019