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BUG: Handle infinite values correctly in Series.argmax #13625

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BUG: Handle infinite values correctly in Series.argmax #13625

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30e548c
remove flags
Jul 11, 2016
82b26c3
add tests
Jul 11, 2016
be65aa7
add to what's new
Jul 11, 2016
c2c5ac6
move whatsnew + add test
Jul 12, 2016
790275e
fix formatting
Jul 12, 2016
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v0.18.0.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -1290,3 +1290,4 @@ Bug Fixes
- Bug when specifying a UTC ``DatetimeIndex`` by setting ``utc=True`` in ``.to_datetime`` (:issue:`11934`)
- Bug when increasing the buffer size of CSV reader in ``read_csv`` (:issue:`12494`)
- Bug when setting columns of a ``DataFrame`` with duplicate column names (:issue:`12344`)
- Bug when calling Series.argmax with infinite values (:issue: `13595`)
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move to 0.19.0

6 changes: 2 additions & 4 deletions pandas/core/nanops.py
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Expand Up @@ -454,8 +454,7 @@ def nanargmax(values, axis=None, skipna=True):
"""
Returns -1 in the NA case
"""
values, mask, dtype, _ = _get_values(values, skipna, fill_value_typ='-inf',
isfinite=True)
values, mask, dtype, _ = _get_values(values, skipna, fill_value_typ='-inf')
result = values.argmax(axis)
result = _maybe_arg_null_out(result, axis, mask, skipna)
return result
Expand All @@ -465,8 +464,7 @@ def nanargmin(values, axis=None, skipna=True):
"""
Returns -1 in the NA case
"""
values, mask, dtype, _ = _get_values(values, skipna, fill_value_typ='+inf',
isfinite=True)
values, mask, dtype, _ = _get_values(values, skipna, fill_value_typ='+inf')
result = values.argmin(axis)
result = _maybe_arg_null_out(result, axis, mask, skipna)
return result
Expand Down
9 changes: 7 additions & 2 deletions pandas/tests/test_nanops.py
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Expand Up @@ -41,6 +41,7 @@ def setUp(self):

self.arr_inf = self.arr_float * np.inf
self.arr_float_inf = np.vstack([self.arr_float, self.arr_inf])
self.arr_float_neg_inf = -1 * self.arr_float_inf
self.arr_float1_inf = np.vstack([self.arr_float1, self.arr_inf])
self.arr_inf_float1 = np.vstack([self.arr_inf, self.arr_float1])
self.arr_inf_inf = np.vstack([self.arr_inf, self.arr_inf])
Expand Down Expand Up @@ -234,7 +235,7 @@ def check_fun(self, testfunc, targfunc, testar, targar=None,

def check_funs(self, testfunc, targfunc, allow_complex=True,
allow_all_nan=True, allow_str=True, allow_date=True,
allow_tdelta=True, allow_obj=True, **kwargs):
allow_tdelta=True, allow_obj=True, allow_inf=True, **kwargs):
self.check_fun(testfunc, targfunc, 'arr_float', **kwargs)
self.check_fun(testfunc, targfunc, 'arr_float_nan', 'arr_float',
**kwargs)
Expand Down Expand Up @@ -287,6 +288,10 @@ def check_funs(self, testfunc, targfunc, allow_complex=True,
allow_complex=allow_complex)
self.check_fun(testfunc, targfunc, 'arr_obj', **kwargs)

if allow_inf:
self.check_fun(testfunc, targfunc, 'arr_float_inf', **kwargs)
self.check_fun(testfunc, targfunc, 'arr_float_neg_inf', **kwargs)

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also add a test that is the same as the original issue

def check_funs_ddof(self,
testfunc,
targfunc,
Expand All @@ -295,7 +300,7 @@ def check_funs_ddof(self,
allow_str=True,
allow_date=False,
allow_tdelta=False,
allow_obj=True, ):
allow_obj=True):
for ddof in range(3):
try:
self.check_funs(testfunc, targfunc, allow_complex,
Expand Down