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jbrockmendel
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  1. Add linting,
  2. fix a bunch of lint warnings,
  3. add ignore/excludes so that it passes for now.

@mroeschke
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Just a heads up, #18611 is overhauling groupyby.py and passes my local flake8 check.

Also, I'd be much appreciated if you could replace from .pandas_vb_common import * with from .pandas_vb_common import setup # noqa. The setup function will set up the random seed for all the setup functions.

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codecov bot commented Dec 4, 2017

Codecov Report

Merging #18620 into master will decrease coverage by 0.01%.
The diff coverage is n/a.

Impacted file tree graph

@@            Coverage Diff             @@
##           master   #18620      +/-   ##
==========================================
- Coverage   91.46%   91.45%   -0.02%     
==========================================
  Files         157      157              
  Lines       51449    51449              
==========================================
- Hits        47060    47051       -9     
- Misses       4389     4398       +9
Flag Coverage Δ
#multiple 89.32% <ø> (ø) ⬆️
#single 40.6% <ø> (-0.11%) ⬇️
Impacted Files Coverage Δ
pandas/io/gbq.py 25% <0%> (-58.34%) ⬇️
pandas/core/frame.py 97.81% <0%> (-0.1%) ⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 6e56195...a302e7f. Read the comment docs.

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codecov bot commented Dec 4, 2017

Codecov Report

Merging #18620 into master will decrease coverage by 0.01%.
The diff coverage is n/a.

Impacted file tree graph

@@            Coverage Diff             @@
##           master   #18620      +/-   ##
==========================================
- Coverage   91.46%   91.45%   -0.02%     
==========================================
  Files         157      157              
  Lines       51449    51449              
==========================================
- Hits        47060    47051       -9     
- Misses       4389     4398       +9
Flag Coverage Δ
#multiple 89.32% <ø> (ø) ⬆️
#single 40.6% <ø> (-0.11%) ⬇️
Impacted Files Coverage Δ
pandas/io/gbq.py 25% <0%> (-58.34%) ⬇️
pandas/core/frame.py 97.81% <0%> (-0.1%) ⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 6e56195...a302e7f. Read the comment docs.

@jreback
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jreback commented Dec 4, 2017

yeah prefer these be linted / cleaned in smaller batches.

@jreback jreback closed this Dec 4, 2017
@jbrockmendel
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Also, I'd be much appreciated if you could replace from .pandas_vb_common import * with from .pandas_vb_common import setup # noqa. The setup function will set up the random seed for all the setup functions.

@mroeschke I'll make a note of it for next time around.

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3 participants