CLN: Flake8 E741

[alimcmaster1]

• passes git diff upstream/master -u -- "*.py" | flake8 --diff
• xref up E741 mentioned on this issue: STYLE: Additional flake8 checks #22122
• Follow up from this PR: CLN: Flake8 E741 #22913

flake8 --select E741 now runs clean

[pep8speaks]

Hello @alimcmaster1! Thanks for updating the PR.

• There are no PEP8 issues in the file pandas/tests/frame/test_constructors.py !

• There are no PEP8 issues in the file pandas/tests/frame/test_indexing.py !

• There are no PEP8 issues in the file pandas/tests/frame/test_operators.py !

• There are no PEP8 issues in the file pandas/tests/indexing/test_indexing.py !

• There are no PEP8 issues in the file pandas/tests/indexing/test_loc.py !

• There are no PEP8 issues in the file pandas/tests/io/test_packers.py !

• There are no PEP8 issues in the file pandas/tests/io/test_pytables.py !

• There are no PEP8 issues in the file pandas/tests/plotting/common.py !

• There are no PEP8 issues in the file pandas/tests/plotting/test_datetimelike.py !

• There are no PEP8 issues in the file pandas/tests/plotting/test_frame.py !

• 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_dtypes.py !

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

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

Comment last updated on October 13, 2018 at 16:10 Hours UTC

[datapythonista]

lgtm, thanks for all the work in this @alimcmaster1

[codecov]

Codecov Report

Merging #23131 into master will not change coverage.
The diff coverage is n/a.

@@           Coverage Diff           @@
##           master   #23131   +/-   ##
=======================================
  Coverage   92.13%   92.13%           
=======================================
  Files         170      170           
  Lines       51073    51073           
=======================================
  Hits        47056    47056           
  Misses       4017     4017

Flag	Coverage Δ
#multiple	90.56% <ø> (ø)	⬆️
#single	42.28% <ø> (ø)	⬆️

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[jreback]

thanks @alimcmaster1

[alimcmaster1]

Thanks both for looking, appreciate it! @datapythonista , @jreback