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FIX: Raise errors when wrong string arguments are passed to resample #19307

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2 changes: 1 addition & 1 deletion doc/source/whatsnew/v0.23.0.txt
Original file line number Diff line number Diff line change
Expand Up @@ -485,7 +485,7 @@ Groupby/Resample/Rolling

- Bug when grouping by a single column and aggregating with a class like ``list`` or ``tuple`` (:issue:`18079`)
- Fixed regression in :func:`DataFrame.groupby` which would not emit an error when called with a tuple key not in the index (:issue:`18798`)
-
- Bug in :func:`DataFrame.resample` which silently ignored unsupported (or misstyped) options for `label`, `closed` and `convention` (:issue:`19303`)
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Use double backticks for label, closed and convention.

-

Sparse
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10 changes: 10 additions & 0 deletions pandas/core/resample.py
Original file line number Diff line number Diff line change
Expand Up @@ -1061,6 +1061,16 @@ class TimeGrouper(Grouper):
def __init__(self, freq='Min', closed=None, label=None, how='mean',
axis=0, fill_method=None, limit=None, loffset=None,
kind=None, convention=None, base=0, **kwargs):
# Check for correctness of the keyword arguments which would
# otherwise silently use the default if misspelled
if label not in {None, 'left', 'right'}:
raise AttributeError('Unsupported value %s for `label`' % label)
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These should probably be ValueErrors.

if closed not in {None, 'left', 'right'}:
raise AttributeError('Unsupported value %s for `closed`' % closed)
if convention not in {None, 'start', 'end', 'e', 's'}:
raise AttributeError('Unsupported value %s for `convention`'
% convention)

freq = to_offset(freq)

end_types = set(['M', 'A', 'Q', 'BM', 'BA', 'BQ', 'W'])
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14 changes: 14 additions & 0 deletions pandas/tests/test_resample.py
Original file line number Diff line number Diff line change
Expand Up @@ -963,6 +963,7 @@ def test_resample_basic(self):
rng = date_range('1/1/2000 00:00:00', '1/1/2000 00:13:00', freq='min',
name='index')
s = Series(np.random.randn(14), index=rng)

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can you add as a separate test.

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Yes. No problem.

result = s.resample('5min', closed='right', label='right').mean()

exp_idx = date_range('1/1/2000', periods=4, freq='5min', name='index')
Expand All @@ -985,6 +986,19 @@ def test_resample_basic(self):
expect = s.groupby(grouper).agg(lambda x: x[-1])
assert_series_equal(result, expect)

def test_resample_string_kwargs(self):
rng = date_range('1/1/2000 00:00:00', '1/1/2000 00:13:00', freq='min',
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add the issue number here as a comment

name='index')
s = Series(np.random.randn(14), index=rng)

# Check that wrong keyword argument strings raise an error
with pytest.raises(AttributeError) as e_info:
s.resample('5min', label='righttt').mean()
with pytest.raises(AttributeError) as e_info:
s.resample('5min', closed='righttt').mean()
with pytest.raises(AttributeError) as e_info:
s.resample('5min', convention='starttt').mean()

def test_resample_how(self):
rng = date_range('1/1/2000 00:00:00', '1/1/2000 00:13:00', freq='min',
name='index')
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