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@toobaz toobaz commented Oct 16, 2017

Notice this is a simple fix which doesn't make @kordek 's more general comment about the opportunity for refactoring less valid.

@toobaz toobaz force-pushed the unstack_multi branch 3 times, most recently from 65171d9 to 2d56672 Compare October 16, 2017 09:06
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codecov bot commented Oct 16, 2017

Codecov Report

Merging #17887 into master will decrease coverage by 0.01%.
The diff coverage is 100%.

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@@            Coverage Diff             @@
##           master   #17887      +/-   ##
==========================================
- Coverage   91.23%   91.21%   -0.02%     
==========================================
  Files         163      163              
  Lines       50102    50102              
==========================================
- Hits        45712    45703       -9     
- Misses       4390     4399       +9
Flag Coverage Δ
#multiple 89.03% <100%> (ø) ⬆️
#single 40.31% <25%> (-0.06%) ⬇️
Impacted Files Coverage Δ
pandas/core/reshape/reshape.py 99.27% <100%> (ø) ⬆️
pandas/io/gbq.py 25% <0%> (-58.34%) ⬇️
pandas/core/frame.py 97.75% <0%> (-0.1%) ⬇️

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codecov bot commented Oct 16, 2017

Codecov Report

Merging #17887 into master will increase coverage by <.01%.
The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master   #17887      +/-   ##
==========================================
+ Coverage   91.23%   91.24%   +<.01%     
==========================================
  Files         163      163              
  Lines       50105    50105              
==========================================
+ Hits        45714    45718       +4     
+ Misses       4391     4387       -4
Flag Coverage Δ
#multiple 89.05% <100%> (+0.02%) ⬆️
#single 40.31% <25%> (-0.06%) ⬇️
Impacted Files Coverage Δ
pandas/core/reshape/reshape.py 99.27% <100%> (ø) ⬆️
pandas/io/gbq.py 25% <0%> (-58.34%) ⬇️
pandas/core/frame.py 97.75% <0%> (-0.1%) ⬇️
pandas/core/indexes/datetimes.py 95.5% <0%> (+0.09%) ⬆️
pandas/plotting/_converter.py 65.2% <0%> (+1.81%) ⬆️

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expected = unstacked[key]
result = pd.Series([0, 0, 2], index=unstacked.index, name=key)
assert_series_equal(result, expected)
stacked = unstacked.stack(['x', 'y'])
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put blank lines between cases

assert_series_equal(result, expected)
stacked = unstacked.stack(['x', 'y'])
stacked.index = stacked.index.reorder_levels(f.index.names)
# Workaround for GH #17886:
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add a comment here on why (in addition to the issue number)

@@ -154,6 +154,29 @@ def test_unstack_fill(self):
index=['x', 'y', 'z'], dtype=np.float)
assert_frame_equal(result, expected)

# GH #13971: fill_value when unstacking multiple levels:
f = DataFrame({'x': ['a', 'a', 'b'],
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we usually call this df.

@jreback jreback added Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Reshaping Concat, Merge/Join, Stack/Unstack, Explode labels Oct 16, 2017
@jreback jreback added this to the 0.21.0 milestone Oct 16, 2017
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jreback commented Oct 16, 2017

lgtm minor comments.

@jreback jreback merged commit 5bf7f9a into pandas-dev:master Oct 16, 2017
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jreback commented Oct 16, 2017

thanks @toobaz

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Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Reshaping Concat, Merge/Join, Stack/Unstack, Explode
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BUG: unstack(fill_value) does nothing when unstacking multiple columns
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