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API: expose dtypes in pandas.api.types #16099

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merged 2 commits into from
Apr 24, 2017
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@jreback jreback commented Apr 23, 2017

@jreback jreback added API Design Dtype Conversions Unexpected or buggy dtype conversions labels Apr 23, 2017
@jreback jreback added this to the 0.20.0 milestone Apr 23, 2017
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jreback commented Apr 23, 2017

this is what was discussed in #16015, exposing the extension dtype constructs in pandas.api.types. This will facilitate others having permanent public location to access.

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jreback commented Apr 23, 2017

cc @wesm @jorisvandenbossche @TomAugspurger

I think this should fix the public exposure.

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codecov bot commented Apr 23, 2017

Codecov Report

Merging #16099 into master will increase coverage by <.01%.
The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master   #16099      +/-   ##
==========================================
+ Coverage   90.83%   90.84%   +<.01%     
==========================================
  Files         159      159              
  Lines       50783    50784       +1     
==========================================
+ Hits        46131    46136       +5     
+ Misses       4652     4648       -4
Flag Coverage Δ
#multiple 88.62% <100%> (ø) ⬆️
#single 40.35% <100%> (+0.01%) ⬆️
Impacted Files Coverage Δ
pandas/api/types/__init__.py 100% <100%> (ø) ⬆️
pandas/core/common.py 90.68% <0%> (-0.35%) ⬇️
pandas/_version.py 44.65% <0%> (+1.9%) ⬆️

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codecov bot commented Apr 23, 2017

Codecov Report

Merging #16099 into master will decrease coverage by <.01%.
The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master   #16099      +/-   ##
==========================================
- Coverage   90.86%   90.86%   -0.01%     
==========================================
  Files         159      159              
  Lines       50773    50771       -2     
==========================================
- Hits        46136    46133       -3     
- Misses       4637     4638       +1
Flag Coverage Δ
#multiple 88.64% <100%> (-0.01%) ⬇️
#single 40.34% <100%> (ø) ⬆️
Impacted Files Coverage Δ
pandas/api/types/__init__.py 100% <100%> (ø) ⬆️
pandas/core/common.py 90.68% <0%> (-0.35%) ⬇️
pandas/util/testing.py 79.13% <0%> (-0.06%) ⬇️

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 60a926b...41eec5c. Read the comment docs.

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3 participants