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pep8speaks commented Dec 21, 2018

Hello @slnguyen! Thanks for updating the PR.

Comment last updated on December 21, 2018 at 18:31 Hours UTC
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codecov bot commented Dec 21, 2018

Codecov Report

Merging #24383 into master will decrease coverage by <.01%.
The diff coverage is 100%.

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@@ Coverage Diff @@ ## master #24383 +/- ## ========================================== - Coverage 92.29% 92.29% -0.01%  ========================================== Files 162 162 Lines 51845 51849 +4 ========================================== + Hits 47852 47855 +3  - Misses 3993 3994 +1
Flag Coverage Δ
#multiple 90.7% <100%> (ø) ⬆️
#single 42.98% <25%> (ø) ⬆️
Impacted Files Coverage Δ
pandas/core/indexing.py 93.89% <100%> (+0.02%) ⬆️
pandas/util/testing.py 87.57% <0%> (-0.1%) ⬇️

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codecov bot commented Dec 21, 2018

Codecov Report

Merging #24383 into master will increase coverage by <.01%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@ ## master #24383 +/- ## ========================================== + Coverage 92.29% 92.3% +<.01%  ========================================== Files 162 162 Lines 51845 51879 +34 ========================================== + Hits 47852 47888 +36  + Misses 3993 3991 -2
Flag Coverage Δ
#multiple 90.71% <100%> (ø) ⬆️
#single 42.98% <25%> (ø) ⬆️
Impacted Files Coverage Δ
pandas/core/indexing.py 93.89% <100%> (+0.02%) ⬆️
pandas/core/generic.py 96.62% <0%> (-0.04%) ⬇️
pandas/core/indexes/datetimelike.py 97.28% <0%> (-0.01%) ⬇️
pandas/core/base.py 97.66% <0%> (ø) ⬆️
pandas/core/reshape/reshape.py 99.56% <0%> (ø) ⬆️
pandas/core/series.py 93.71% <0%> (ø) ⬆️
pandas/core/arrays/datetimelike.py 96.51% <0%> (+0.06%) ⬆️
pandas/util/testing.py 87.84% <0%> (+0.18%) ⬆️
pandas/core/dtypes/concat.py 97.05% <0%> (+0.45%) ⬆️
pandas/compat/numpy/function.py 87.91% <0%> (+0.77%) ⬆️

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@gfyoung gfyoung added Bug Indexing Related to indexing on series/frames, not to indexes themselves Dtype Conversions Unexpected or buggy dtype conversions labels Dec 23, 2018
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gfyoung commented Dec 23, 2018

@slnguyen : Good start! Going to need to add a new test + whatsnew entry as well.

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the first thing you need is a test, before any code changes. the indexing code is quite complicated.

self.obj[item_labels[indexer[info_axis]]] = value
return

if isinstance(value, ABCDataFrame):
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this is very complicated and likely does not belong here. you would need to heavily comment this and explain line by line.

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jreback commented Jan 14, 2019

closing as stale if you want to continue working, please ping.

@jreback jreback closed this Jan 14, 2019
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Bug Dtype Conversions Unexpected or buggy dtype conversions Indexing Related to indexing on series/frames, not to indexes themselves

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