DOC: Fix flake8 issues in doc/source/whatsnew/v0.17.*.rst

[aqurilla]

• closes DOC: Fix flake8 issues in doc/source/whatsnew/v0.17.*.rst  #24235
• tests added / passed
• passes git diff upstream/master -u -- "*.py" | flake8 --diff
• whatsnew entry

[aqurilla]

Hi! @datapythonista
I have a few queries regarding some changes - currently the output of
flake8-rst doc/source/whatsnew/v0.17.* is:

doc/source/whatsnew/v0.17.0.rst:177:22: E225 missing whitespace around operator
doc/source/whatsnew/v0.17.0.rst:177:22: E999 SyntaxError: invalid syntax
doc/source/whatsnew/v0.17.0.rst:177:26: E225 missing whitespace around operator
doc/source/whatsnew/v0.17.0.rst:750:14: E711 comparison to None should be 'if cond is None:'
doc/source/whatsnew/v0.17.0.rst:757:6: E711 comparison to None should be 'if cond is None:'
doc/source/whatsnew/v0.17.0.rst:772:12: E711 comparison to None should be 'if cond is None:'
doc/source/whatsnew/v0.17.1.rst:87:11: F821 undefined name 'DataFrame'

The errors on line 177 are due to df.plot.<TAB> - which is a valid operation in pandas but is giving an error here.

The next 3 errors are due to a comparison of a series vs None: s == None,
but an error is thrown requesting an if loop be added, along with its indentation block.

What would be the best way to resolve these?

[datapythonista]

we fixed them before with a noqa comment. If you do a grep "<TAB>" doc/*, grep "== None"... you should find examples.

[datapythonista]

also, please merge master and fix the conflicts when you update the PR

[datapythonista]

@aqurilla do you have time to finish this PR?

[aqurilla]

Hi @datapythonista yes, I was travelling and should be able to finish this by tomorrow

[datapythonista]

@aqurilla do you have time to finish this?

[codecov]

Codecov Report

Merging #24340 into master will increase coverage by 60.39%.
The diff coverage is n/a.

@@             Coverage Diff             @@
##           master   #24340       +/-   ##
===========================================
+ Coverage   31.88%   92.28%   +60.39%     
===========================================
  Files         166      162        -4     
  Lines       52413    51835      -578     
===========================================
+ Hits        16714    47834    +31120     
+ Misses      35699     4001    -31698

Flag	Coverage Δ
#multiple	90.68% <ø> (+60.39%)	⬆️
#single	43% <ø> (+11.11%)	⬆️

Impacted Files	Coverage Δ
pandas/core/computation/check.py	90.9% <0%> (-1.4%)	⬇️
pandas/core/dtypes/generic.py	100% <0%> (ø)	⬆️
pandas/core/arrays/__init__.py	100% <0%> (ø)	⬆️
pandas/core/arrays/numpy_.py
pandas/core/arrays/array_.py
pandas/core/arrays/_ranges.py
pandas/core/internals/arrays.py
pandas/util/_test_decorators.py	90.54% <0%> (+4.05%)	⬆️
pandas/core/config_init.py	99.24% <0%> (+9.84%)	⬆️
pandas/compat/__init__.py	58.3% <0%> (+10.03%)	⬆️
... and 128 more

---

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Δ = absolute <relative> (impact), ø = not affected, ? = missing data
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[codecov]

Codecov Report

Merging #24340 into master will increase coverage by 60.43%.
The diff coverage is n/a.

@@             Coverage Diff             @@
##           master   #24340       +/-   ##
===========================================
+ Coverage   31.88%   92.32%   +60.43%     
===========================================
  Files         166      166               
  Lines       52413    52440       +27     
===========================================
+ Hits        16714    48416    +31702     
+ Misses      35699     4024    -31675

Flag	Coverage Δ
#multiple	90.75% <ø> (+60.45%)	⬆️
#single	43.01% <ø> (+11.12%)	⬆️

Impacted Files	Coverage Δ
pandas/util/_test_decorators.py	90.54% <0%> (+4.05%)	⬆️
pandas/compat/__init__.py	57.91% <0%> (+9.65%)	⬆️
pandas/core/config_init.py	99.24% <0%> (+9.84%)	⬆️
pandas/core/reshape/util.py	100% <0%> (+11.53%)	⬆️
pandas/core/api.py	100% <0%> (+13.33%)	⬆️
pandas/compat/numpy/__init__.py	92.85% <0%> (+14.28%)	⬆️
pandas/io/formats/console.py	74.24% <0%> (+16.66%)	⬆️
pandas/core/dtypes/inference.py	98.46% <0%> (+18.46%)	⬆️
pandas/plotting/_compat.py	87.5% <0%> (+18.75%)	⬆️
pandas/core/indexes/api.py	99% <0%> (+20.79%)	⬆️
... and 125 more

---

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[aqurilla]

Hi @datapythonista , please have a look,
sorry for the delay!

[jreback]

ping on green.

[aqurilla]

@jreback, please have a look

[jreback]

thanks @aqurilla