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BUG: pivot_table with multi-index columns only fails #31013

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Merged
merged 11 commits into from
Jan 15, 2020
+18 −8
Merged

BUG: pivot_table with multi-index columns only fails #31013

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7e461a1
remove \n from docstring
charlesdong1991 Dec 3, 2018
1314059
fix conflicts
charlesdong1991 Jan 19, 2019
8bcb313
Merge remote-tracking branch 'upstream/master'
charlesdong1991 Jul 30, 2019
24c3ede
Merge remote-tracking branch 'upstream/master'
charlesdong1991 Jan 14, 2020
dea38f2
fix issue 17038
charlesdong1991 Jan 14, 2020
cd9e7ac
revert change
charlesdong1991 Jan 14, 2020
e5e912b
revert change
charlesdong1991 Jan 14, 2020
8f4156d
Merge remote-tracking branch 'upstream/master' into fix_issue_17038
charlesdong1991 Jan 14, 2020
65128a8
fix issue 17038
charlesdong1991 Jan 14, 2020
145d85a
remove wrong test
charlesdong1991 Jan 14, 2020
b7eaeed
add whatsnew note
charlesdong1991 Jan 14, 2020
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2 changes: 1 addition & 1 deletion doc/source/whatsnew/v1.1.0.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -140,7 +140,7 @@ Reshaping
^^^^^^^^^

-
-
- Bug in :meth:`DataFrame.pivot_table` when only MultiIndexed columns is set (:issue:`17038`)

Sparse
^^^^^^
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4 changes: 3 additions & 1 deletion pandas/core/reshape/pivot.py
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Expand Up @@ -117,7 +117,9 @@ def pivot_table(
agged[v] = maybe_downcast_to_dtype(agged[v], data[v].dtype)

table = agged
if table.index.nlevels > 1:

# GH17038, this check should only happen if index is defined (not None)
if table.index.nlevels > 1 and index:
# Related GH #17123
# If index_names are integers, determine whether the integers refer
# to the level position or name.
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20 changes: 14 additions & 6 deletions pandas/tests/reshape/test_pivot.py
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Expand Up @@ -896,12 +896,6 @@ def _check_output(
totals = table.loc[("All", ""), value_col]
assert totals == self.data[value_col].mean()

# no rows
rtable = self.data.pivot_table(
columns=["AA", "BB"], margins=True, aggfunc=np.mean
)
assert isinstance(rtable, Series)

Comment on lines -899 to -904
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this gives a wrong shape, should not return Series but a DataFrame with AA and BB for columns, I created an issue to address it!

table = self.data.pivot_table(index=["AA", "BB"], margins=True, aggfunc="mean")
for item in ["DD", "EE", "FF"]:
totals = table.loc[("All", ""), item]
Expand Down Expand Up @@ -951,6 +945,20 @@ def test_margins_dtype_len(self):

tm.assert_frame_equal(expected, result)

@pytest.mark.parametrize("cols", [(1, 2), ("a", "b"), (1, "b"), ("a", 1)])
def test_pivot_table_multiindex_only(self, cols):
# GH 17038
df2 = DataFrame({cols[0]: [1, 2, 3], cols[1]: [1, 2, 3], "v": [4, 5, 6]})

result = df2.pivot_table(values="v", columns=cols)
expected = DataFrame(
[[4, 5, 6]],
columns=MultiIndex.from_tuples([(1, 1), (2, 2), (3, 3)], names=cols),
index=Index(["v"]),
)

tm.assert_frame_equal(result, expected)

def test_pivot_integer_columns(self):
# caused by upstream bug in unstack

Expand Down