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Backport PR #25202 on branch 0.24.x (BUG-25061 fix printing indices with NaNs) #25244

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meeseeksmachine
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Backport PR #25202: BUG-25061 fix printing indices with NaNs

@lumberbot-app lumberbot-app bot added this to the 0.24.2 milestone Feb 9, 2019
@jreback jreback added the Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate label Feb 9, 2019
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codecov bot commented Feb 9, 2019

Codecov Report

Merging #25244 into 0.24.x will decrease coverage by <.01%.
The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           0.24.x   #25244      +/-   ##
==========================================
- Coverage   92.38%   92.37%   -0.01%     
==========================================
  Files         166      166              
  Lines       52403    52406       +3     
==========================================
+ Hits        48410    48412       +2     
- Misses       3993     3994       +1
Flag Coverage Δ
#multiple 90.8% <100%> (ø) ⬆️
#single 42.88% <80%> (ø) ⬆️
Impacted Files Coverage Δ
pandas/io/formats/format.py 97.99% <100%> (ø) ⬆️
pandas/util/testing.py 88.04% <0%> (-0.1%) ⬇️

Continue to review full report at Codecov.

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Δ = absolute <relative> (impact), ø = not affected, ? = missing data
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codecov bot commented Feb 9, 2019

Codecov Report

Merging #25244 into 0.24.x will decrease coverage by <.01%.
The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           0.24.x   #25244      +/-   ##
==========================================
- Coverage   92.38%   92.37%   -0.01%     
==========================================
  Files         166      166              
  Lines       52403    52406       +3     
==========================================
+ Hits        48410    48412       +2     
- Misses       3993     3994       +1
Flag Coverage Δ
#multiple 90.8% <100%> (ø) ⬆️
#single 42.88% <80%> (ø) ⬆️
Impacted Files Coverage Δ
pandas/io/formats/format.py 97.99% <100%> (ø) ⬆️
pandas/util/testing.py 88.04% <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 7f44027...e0053b6. Read the comment docs.

@codecov
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codecov bot commented Feb 9, 2019

Codecov Report

Merging #25244 into 0.24.x will decrease coverage by <.01%.
The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           0.24.x   #25244      +/-   ##
==========================================
- Coverage   92.38%   92.37%   -0.01%     
==========================================
  Files         166      166              
  Lines       52403    52406       +3     
==========================================
+ Hits        48410    48412       +2     
- Misses       3993     3994       +1
Flag Coverage Δ
#multiple 90.8% <100%> (ø) ⬆️
#single 42.88% <80%> (ø) ⬆️
Impacted Files Coverage Δ
pandas/io/formats/format.py 97.99% <100%> (ø) ⬆️
pandas/util/testing.py 88.04% <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 7f44027...e0053b6. Read the comment docs.

@codecov
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codecov bot commented Feb 9, 2019

Codecov Report

Merging #25244 into 0.24.x will decrease coverage by <.01%.
The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           0.24.x   #25244      +/-   ##
==========================================
- Coverage   92.38%   92.37%   -0.01%     
==========================================
  Files         166      166              
  Lines       52403    52406       +3     
==========================================
+ Hits        48410    48412       +2     
- Misses       3993     3994       +1
Flag Coverage Δ
#multiple 90.8% <100%> (ø) ⬆️
#single 42.88% <80%> (ø) ⬆️
Impacted Files Coverage Δ
pandas/io/formats/format.py 97.99% <100%> (ø) ⬆️
pandas/util/testing.py 88.04% <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 7f44027...e0053b6. Read the comment docs.

@jreback jreback merged commit 5eb761e into pandas-dev:0.24.x Feb 9, 2019
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3 participants