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CLN GH22985 Fixed interpolation with object error message #23044

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Merged
merged 1 commit into from
Oct 10, 2018
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CLN GH22985 Fixed interpolation with object error message #23044

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4 changes: 3 additions & 1 deletion pandas/core/generic.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6387,7 +6387,9 @@ def interpolate(self, method='linear', axis=0, limit=None, inplace=False,

if _maybe_transposed_self._data.get_dtype_counts().get(
'object') == len(_maybe_transposed_self.T):
raise TypeError("Cannot interpolate with all NaNs.")
raise TypeError("Cannot interpolate with all object-dtype columns "
"in the DataFrame. Try setting at least one "
"column to a numeric dtype.")

# create/use the index
if method == 'linear':
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13 changes: 13 additions & 0 deletions pandas/tests/frame/test_missing.py
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Expand Up @@ -814,6 +814,19 @@ def test_interp_raise_on_only_mixed(self):
with pytest.raises(TypeError):
df.interpolate(axis=1)

def test_interp_raise_on_all_object_dtype(self):
# GH 22985
df = DataFrame({
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@jschendel jschendel Oct 8, 2018 •
edited
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Can you add the GitHub issue number as a comment? See two tests below for an example. It's useful if someone makes changes that cause this test to break, as it allows them to quickly find the discussion and context for the test.

'A': [1, 2, 3],
'B': [4, 5, 6]},
dtype='object')
with tm.assert_raises_regex(
TypeError,
"Cannot interpolate with all object-dtype columns "
"in the DataFrame. Try setting at least one "
"column to a numeric dtype."):
df.interpolate()

def test_interp_inplace(self):
df = DataFrame({'a': [1., 2., np.nan, 4.]})
expected = DataFrame({'a': [1., 2., 3., 4.]})
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