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1 change: 1 addition & 0 deletions doc/source/whatsnew/v0.24.0.txt
Original file line number Diff line number Diff line change
Expand Up @@ -634,6 +634,7 @@ Numeric
a ``TypeError`` was wrongly raised. For all three methods such calculation are now done correctly. (:issue:`16679`).
- Bug in :class:`Series` comparison against datetime-like scalars and arrays (:issue:`22074`)
- Bug in :class:`DataFrame` multiplication between boolean dtype and integer returning ``object`` dtype instead of integer dtype (:issue:`22047`,:issue:`22163`)
- Bug in :meth:`DataFrame.apply` where, when supplied with a string argument and additional positional or keyword arguments (e.g. ``df.apply('sum', min_count=1)``), a ``TypeError`` was wrongly raised (:issue:`22376`)
-

Strings
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4 changes: 3 additions & 1 deletion pandas/core/apply.py
Original file line number Diff line number Diff line change
Expand Up @@ -71,7 +71,9 @@ def __init__(self, obj, func, broadcast, raw, reduce, result_type,
self.result_type = result_type

# curry if needed
if kwds or args and not isinstance(func, np.ufunc):
if ((kwds or args) and
not isinstance(func, (np.ufunc, compat.string_types))):

def f(x):
return func(x, *args, **kwds)
else:
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19 changes: 11 additions & 8 deletions pandas/tests/frame/test_apply.py
Original file line number Diff line number Diff line change
Expand Up @@ -120,14 +120,17 @@ def test_apply_standard_nonunique(self):
rs = df.T.apply(lambda s: s[0], axis=0)
assert_series_equal(rs, xp)

@pytest.mark.parametrize('arg', ['sum', 'mean', 'min', 'max', 'std'])
def test_with_string_args(self, arg):
result = self.frame.apply(arg)
expected = getattr(self.frame, arg)()
tm.assert_series_equal(result, expected)

result = self.frame.apply(arg, axis=1)
expected = getattr(self.frame, arg)(axis=1)
@pytest.mark.parametrize('func', ['sum', 'mean', 'min', 'max', 'std'])
@pytest.mark.parametrize('args,kwds', [
pytest.param([], {}, id='no_args_or_kwds'),
pytest.param([1], {}, id='axis_from_args'),
pytest.param([], {'axis': 1}, id='axis_from_kwds'),
pytest.param([], {'numeric_only': True}, id='optional_kwds'),
pytest.param([1, None], {'numeric_only': True}, id='args_and_kwds')
])
def test_apply_with_string_funcs(self, func, args, kwds):
result = self.frame.apply(func, *args, **kwds)
expected = getattr(self.frame, func)(*args, **kwds)
tm.assert_series_equal(result, expected)

def test_apply_broadcast_deprecated(self):
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