def test_argminmax(self):
obj = Index(np.arange(5, dtype="int64"))
assert obj.argmin() == 0
assert obj.argmax() == 4
obj = Index([np.nan, 1, np.nan, 2])
assert obj.argmin() == 1
assert obj.argmax() == 3
assert obj.argmin(skipna=False) == -1
assert obj.argmax(skipna=False) == -1
obj = Index([np.nan])
assert obj.argmin() == -1
assert obj.argmax() == -1
assert obj.argmin(skipna=False) == -1
assert obj.argmax(skipna=False) == -1
obj = Index(
[pd.NaT,
datetime(2011, 11, 1),
datetime(2011, 11, 2), pd.NaT])
assert obj.argmin() == 1
assert obj.argmax() == 2
assert obj.argmin(skipna=False) == -1
assert obj.argmax(skipna=False) == -1
obj = Index([pd.NaT])
assert obj.argmin() == -1
assert obj.argmax() == -1
assert obj.argmin(skipna=False) == -1
assert obj.argmax(skipna=False) == -1
def test_nanops(self):
# GH 7261
for op in ['max', 'min']:
for klass in [Index, Series]:
obj = klass([np.nan, 2.0])
self.assertEqual(getattr(obj, op)(), 2.0)
obj = klass([np.nan])
self.assertTrue(pd.isnull(getattr(obj, op)()))
obj = klass([])
self.assertTrue(pd.isnull(getattr(obj, op)()))
obj = klass([pd.NaT, datetime(2011, 11, 1)])
# check DatetimeIndex monotonic path
self.assertEqual(getattr(obj, op)(), datetime(2011, 11, 1))
obj = klass([pd.NaT, datetime(2011, 11, 1), pd.NaT])
# check DatetimeIndex non-monotonic path
self.assertEqual(getattr(obj, op)(), datetime(2011, 11, 1))
# argmin/max
obj = Index(np.arange(5, dtype='int64'))
self.assertEqual(obj.argmin(), 0)
self.assertEqual(obj.argmax(), 4)
obj = Index([np.nan, 1, np.nan, 2])
self.assertEqual(obj.argmin(), 1)
self.assertEqual(obj.argmax(), 3)
obj = Index([np.nan])
self.assertEqual(obj.argmin(), -1)
self.assertEqual(obj.argmax(), -1)
obj = Index(
[pd.NaT,
datetime(2011, 11, 1),
datetime(2011, 11, 2), pd.NaT])
self.assertEqual(obj.argmin(), 1)
self.assertEqual(obj.argmax(), 2)
obj = Index([pd.NaT])
self.assertEqual(obj.argmin(), -1)
self.assertEqual(obj.argmax(), -1)
def test_nanops(self):
# GH 7261
for op in ['max', 'min']:
for klass in [Index, Series]:
obj = klass([np.nan, 2.0])
assert getattr(obj, op)() == 2.0
obj = klass([np.nan])
assert pd.isna(getattr(obj, op)())
obj = klass([])
assert pd.isna(getattr(obj, op)())
obj = klass([pd.NaT, datetime(2011, 11, 1)])
# check DatetimeIndex monotonic path
assert getattr(obj, op)() == datetime(2011, 11, 1)
obj = klass([pd.NaT, datetime(2011, 11, 1), pd.NaT])
# check DatetimeIndex non-monotonic path
assert getattr(obj, op)(), datetime(2011, 11, 1)
# argmin/max
obj = Index(np.arange(5, dtype='int64'))
assert obj.argmin() == 0
assert obj.argmax() == 4
obj = Index([np.nan, 1, np.nan, 2])
assert obj.argmin() == 1
assert obj.argmax() == 3
obj = Index([np.nan])
assert obj.argmin() == -1
assert obj.argmax() == -1
obj = Index(
[pd.NaT,
datetime(2011, 11, 1),
datetime(2011, 11, 2), pd.NaT])
assert obj.argmin() == 1
assert obj.argmax() == 2
obj = Index([pd.NaT])
assert obj.argmin() == -1
assert obj.argmax() == -1
def test_nanops(self):
# GH 7261
for op in ['max', 'min']:
for klass in [Index, Series]:
obj = klass([np.nan, 2.0])
self.assertEqual(getattr(obj, op)(), 2.0)
obj = klass([np.nan])
self.assertTrue(pd.isnull(getattr(obj, op)()))
obj = klass([])
self.assertTrue(pd.isnull(getattr(obj, op)()))
obj = klass([pd.NaT, datetime(2011, 11, 1)])
# check DatetimeIndex monotonic path
self.assertEqual(getattr(obj, op)(), datetime(2011, 11, 1))
obj = klass([pd.NaT, datetime(2011, 11, 1), pd.NaT])
# check DatetimeIndex non-monotonic path
self.assertEqual(getattr(obj, op)(), datetime(2011, 11, 1))
# argmin/max
obj = Index(np.arange(5, dtype='int64'))
self.assertEqual(obj.argmin(), 0)
self.assertEqual(obj.argmax(), 4)
obj = Index([np.nan, 1, np.nan, 2])
self.assertEqual(obj.argmin(), 1)
self.assertEqual(obj.argmax(), 3)
obj = Index([np.nan])
self.assertEqual(obj.argmin(), -1)
self.assertEqual(obj.argmax(), -1)
obj = Index([pd.NaT, datetime(2011, 11, 1), datetime(2011, 11, 2),
pd.NaT])
self.assertEqual(obj.argmin(), 1)
self.assertEqual(obj.argmax(), 2)
obj = Index([pd.NaT])
self.assertEqual(obj.argmin(), -1)
self.assertEqual(obj.argmax(), -1)
def test_nanops(self):
# GH 7261
for op in ['max', 'min']:
for klass in [Index, Series]:
obj = klass([np.nan, 2.0])
assert getattr(obj, op)() == 2.0
obj = klass([np.nan])
assert pd.isna(getattr(obj, op)())
obj = klass([])
assert pd.isna(getattr(obj, op)())
obj = klass([pd.NaT, datetime(2011, 11, 1)])
# check DatetimeIndex monotonic path
assert getattr(obj, op)() == datetime(2011, 11, 1)
obj = klass([pd.NaT, datetime(2011, 11, 1), pd.NaT])
# check DatetimeIndex non-monotonic path
assert getattr(obj, op)(), datetime(2011, 11, 1)
# argmin/max
obj = Index(np.arange(5, dtype='int64'))
assert obj.argmin() == 0
assert obj.argmax() == 4
obj = Index([np.nan, 1, np.nan, 2])
assert obj.argmin() == 1
assert obj.argmax() == 3
obj = Index([np.nan])
assert obj.argmin() == -1
assert obj.argmax() == -1
obj = Index([pd.NaT, datetime(2011, 11, 1), datetime(2011, 11, 2),
pd.NaT])
assert obj.argmin() == 1
assert obj.argmax() == 2
obj = Index([pd.NaT])
assert obj.argmin() == -1
assert obj.argmax() == -1
def test_nanops(self):
# GH#7261
for opname in ["max", "min"]:
for klass in [Index, Series]:
arg_op = "arg" + opname if klass is Index else "idx" + opname
obj = klass([np.nan, 2.0])
assert getattr(obj, opname)() == 2.0
obj = klass([np.nan])
assert pd.isna(getattr(obj, opname)())
assert pd.isna(getattr(obj, opname)(skipna=False))
obj = klass([], dtype=object)
assert pd.isna(getattr(obj, opname)())
assert pd.isna(getattr(obj, opname)(skipna=False))
obj = klass([pd.NaT, datetime(2011, 11, 1)])
# check DatetimeIndex monotonic path
assert getattr(obj, opname)() == datetime(2011, 11, 1)
assert getattr(obj, opname)(skipna=False) is pd.NaT
assert getattr(obj, arg_op)() == 1
result = getattr(obj, arg_op)(skipna=False)
if klass is Series:
assert np.isnan(result)
else:
assert result == -1
obj = klass([pd.NaT, datetime(2011, 11, 1), pd.NaT])
# check DatetimeIndex non-monotonic path
assert getattr(obj, opname)(), datetime(2011, 11, 1)
assert getattr(obj, opname)(skipna=False) is pd.NaT
assert getattr(obj, arg_op)() == 1
result = getattr(obj, arg_op)(skipna=False)
if klass is Series:
assert np.isnan(result)
else:
assert result == -1
for dtype in ["M8[ns]", "datetime64[ns, UTC]"]:
# cases with empty Series/DatetimeIndex
obj = klass([], dtype=dtype)
assert getattr(obj, opname)() is pd.NaT
assert getattr(obj, opname)(skipna=False) is pd.NaT
with pytest.raises(ValueError, match="empty sequence"):
getattr(obj, arg_op)()
with pytest.raises(ValueError, match="empty sequence"):
getattr(obj, arg_op)(skipna=False)
# argmin/max
obj = Index(np.arange(5, dtype="int64"))
assert obj.argmin() == 0
assert obj.argmax() == 4
obj = Index([np.nan, 1, np.nan, 2])
assert obj.argmin() == 1
assert obj.argmax() == 3
assert obj.argmin(skipna=False) == -1
assert obj.argmax(skipna=False) == -1
obj = Index([np.nan])
assert obj.argmin() == -1
assert obj.argmax() == -1
assert obj.argmin(skipna=False) == -1
assert obj.argmax(skipna=False) == -1
obj = Index([pd.NaT, datetime(2011, 11, 1), datetime(2011, 11, 2), pd.NaT])
assert obj.argmin() == 1
assert obj.argmax() == 2
assert obj.argmin(skipna=False) == -1
assert obj.argmax(skipna=False) == -1
obj = Index([pd.NaT])
assert obj.argmin() == -1
assert obj.argmax() == -1
assert obj.argmin(skipna=False) == -1
assert obj.argmax(skipna=False) == -1
def test_nanops(self):
# GH#7261
for opname in ['max', 'min']:
for klass in [Index, Series]:
arg_op = 'arg' + opname if klass is Index else 'idx' + opname
obj = klass([np.nan, 2.0])
assert getattr(obj, opname)() == 2.0
obj = klass([np.nan])
assert pd.isna(getattr(obj, opname)())
assert pd.isna(getattr(obj, opname)(skipna=False))
obj = klass([])
assert pd.isna(getattr(obj, opname)())
assert pd.isna(getattr(obj, opname)(skipna=False))
obj = klass([pd.NaT, datetime(2011, 11, 1)])
# check DatetimeIndex monotonic path
assert getattr(obj, opname)() == datetime(2011, 11, 1)
assert getattr(obj, opname)(skipna=False) is pd.NaT
assert getattr(obj, arg_op)() == 1
result = getattr(obj, arg_op)(skipna=False)
if klass is Series:
assert np.isnan(result)
else:
assert result == -1
obj = klass([pd.NaT, datetime(2011, 11, 1), pd.NaT])
# check DatetimeIndex non-monotonic path
assert getattr(obj, opname)(), datetime(2011, 11, 1)
assert getattr(obj, opname)(skipna=False) is pd.NaT
assert getattr(obj, arg_op)() == 1
result = getattr(obj, arg_op)(skipna=False)
if klass is Series:
assert np.isnan(result)
else:
assert result == -1
for dtype in ["M8[ns]", "datetime64[ns, UTC]"]:
# cases with empty Series/DatetimeIndex
obj = klass([], dtype=dtype)
assert getattr(obj, opname)() is pd.NaT
assert getattr(obj, opname)(skipna=False) is pd.NaT
with pytest.raises(ValueError, match="empty sequence"):
getattr(obj, arg_op)()
with pytest.raises(ValueError, match="empty sequence"):
getattr(obj, arg_op)(skipna=False)
# argmin/max
obj = Index(np.arange(5, dtype='int64'))
assert obj.argmin() == 0
assert obj.argmax() == 4
obj = Index([np.nan, 1, np.nan, 2])
assert obj.argmin() == 1
assert obj.argmax() == 3
assert obj.argmin(skipna=False) == -1
assert obj.argmax(skipna=False) == -1
obj = Index([np.nan])
assert obj.argmin() == -1
assert obj.argmax() == -1
assert obj.argmin(skipna=False) == -1
assert obj.argmax(skipna=False) == -1
obj = Index([pd.NaT, datetime(2011, 11, 1), datetime(2011, 11, 2),
pd.NaT])
assert obj.argmin() == 1
assert obj.argmax() == 2
assert obj.argmin(skipna=False) == -1
assert obj.argmax(skipna=False) == -1
obj = Index([pd.NaT])
assert obj.argmin() == -1
assert obj.argmax() == -1
assert obj.argmin(skipna=False) == -1
assert obj.argmax(skipna=False) == -1
