def array_equivalent(*args, **kwargs):
warnings.warn(
"'pandas.core.common.array_equivalent' is deprecated and "
"is no longer public API",
DeprecationWarning,
stacklevel=2)
from pandas.types import missing
return missing.array_equivalent(*args, **kwargs)
def equals(self, other):
"""
Determines if two Index objects contain the same elements.
"""
if self.is_(other):
return True
return array_equivalent(_values_from_object(self),
_values_from_object(other))
def equals(self, other):
"""
Determines if two Index objects contain the same elements.
"""
if self.is_(other):
return True
return array_equivalent(_values_from_object(self),
_values_from_object(other))
def equals(self, other):
"""
Determines if two CategorialIndex objects contain the same elements.
"""
if self.is_(other):
return True
try:
other = self._is_dtype_compat(other)
return array_equivalent(self._data, other)
except (TypeError, ValueError):
pass
return False
def test_array_equivalent_compat():
# see gh-13388
m = np.array([(1, 2), (3, 4)], dtype=[('a', int), ('b', float)])
n = np.array([(1, 2), (3, 4)], dtype=[('a', int), ('b', float)])
assert (array_equivalent(m, n, strict_nan=True))
assert (array_equivalent(m, n, strict_nan=False))
m = np.array([(1, 2), (3, 4)], dtype=[('a', int), ('b', float)])
n = np.array([(1, 2), (4, 3)], dtype=[('a', int), ('b', float)])
assert (not array_equivalent(m, n, strict_nan=True))
assert (not array_equivalent(m, n, strict_nan=False))
m = np.array([(1, 2), (3, 4)], dtype=[('a', int), ('b', float)])
n = np.array([(1, 2), (3, 4)], dtype=[('b', int), ('a', float)])
assert (not array_equivalent(m, n, strict_nan=True))
assert (not array_equivalent(m, n, strict_nan=False))
def test_array_equivalent_compat():
# see gh-13388
m = np.array([(1, 2), (3, 4)], dtype=[('a', int), ('b', float)])
n = np.array([(1, 2), (3, 4)], dtype=[('a', int), ('b', float)])
assert (array_equivalent(m, n, strict_nan=True))
assert (array_equivalent(m, n, strict_nan=False))
m = np.array([(1, 2), (3, 4)], dtype=[('a', int), ('b', float)])
n = np.array([(1, 2), (4, 3)], dtype=[('a', int), ('b', float)])
assert (not array_equivalent(m, n, strict_nan=True))
assert (not array_equivalent(m, n, strict_nan=False))
m = np.array([(1, 2), (3, 4)], dtype=[('a', int), ('b', float)])
n = np.array([(1, 2), (3, 4)], dtype=[('b', int), ('a', float)])
assert (not array_equivalent(m, n, strict_nan=True))
assert (not array_equivalent(m, n, strict_nan=False))
def array_equivalent(*args, **kwargs):
warnings.warn("'pandas.core.common.array_equivalent' is deprecated and "
"is no longer public API", DeprecationWarning, stacklevel=2)
from pandas.types import missing
return missing.array_equivalent(*args, **kwargs)
def test_array_equivalent_str():
for dtype in ['O', 'S', 'U']:
assert array_equivalent(np.array(['A', 'B'], dtype=dtype),
np.array(['A', 'B'], dtype=dtype))
assert not array_equivalent(np.array(['A', 'B'], dtype=dtype),
np.array(['A', 'X'], dtype=dtype))
def test_array_equivalent():
assert array_equivalent(np.array([np.nan, np.nan]),
np.array([np.nan, np.nan]))
assert array_equivalent(np.array([np.nan, 1, np.nan]),
np.array([np.nan, 1, np.nan]))
assert array_equivalent(np.array([np.nan, None], dtype='object'),
np.array([np.nan, None], dtype='object'))
assert array_equivalent(np.array([np.nan, 1 + 1j], dtype='complex'),
np.array([np.nan, 1 + 1j], dtype='complex'))
assert not array_equivalent(
np.array([np.nan, 1 + 1j], dtype='complex'), np.array(
[np.nan, 1 + 2j], dtype='complex'))
assert not array_equivalent(
np.array([np.nan, 1, np.nan]), np.array([np.nan, 2, np.nan]))
assert not array_equivalent(
np.array(['a', 'b', 'c', 'd']), np.array(['e', 'e']))
assert array_equivalent(Float64Index([0, np.nan]),
Float64Index([0, np.nan]))
assert not array_equivalent(
Float64Index([0, np.nan]), Float64Index([1, np.nan]))
assert array_equivalent(DatetimeIndex([0, np.nan]),
DatetimeIndex([0, np.nan]))
assert not array_equivalent(
DatetimeIndex([0, np.nan]), DatetimeIndex([1, np.nan]))
assert array_equivalent(TimedeltaIndex([0, np.nan]),
TimedeltaIndex([0, np.nan]))
assert not array_equivalent(
TimedeltaIndex([0, np.nan]), TimedeltaIndex([1, np.nan]))
assert array_equivalent(DatetimeIndex([0, np.nan], tz='US/Eastern'),
DatetimeIndex([0, np.nan], tz='US/Eastern'))
assert not array_equivalent(
DatetimeIndex([0, np.nan], tz='US/Eastern'), DatetimeIndex(
[1, np.nan], tz='US/Eastern'))
assert not array_equivalent(
DatetimeIndex([0, np.nan]), DatetimeIndex(
[0, np.nan], tz='US/Eastern'))
assert not array_equivalent(
DatetimeIndex([0, np.nan], tz='CET'), DatetimeIndex(
[0, np.nan], tz='US/Eastern'))
assert not array_equivalent(
DatetimeIndex([0, np.nan]), TimedeltaIndex([0, np.nan]))
def test_array_equivalent_str():
for dtype in ['O', 'S', 'U']:
assert array_equivalent(np.array(['A', 'B'], dtype=dtype),
np.array(['A', 'B'], dtype=dtype))
assert not array_equivalent(np.array(['A', 'B'], dtype=dtype),
np.array(['A', 'X'], dtype=dtype))
def test_array_equivalent():
assert array_equivalent(np.array([np.nan, np.nan]),
np.array([np.nan, np.nan]))
assert array_equivalent(np.array([np.nan, 1, np.nan]),
np.array([np.nan, 1, np.nan]))
assert array_equivalent(np.array([np.nan, None], dtype='object'),
np.array([np.nan, None], dtype='object'))
assert array_equivalent(np.array([np.nan, 1 + 1j], dtype='complex'),
np.array([np.nan, 1 + 1j], dtype='complex'))
assert not array_equivalent(
np.array([np.nan, 1 + 1j], dtype='complex'), np.array(
[np.nan, 1 + 2j], dtype='complex'))
assert not array_equivalent(
np.array([np.nan, 1, np.nan]), np.array([np.nan, 2, np.nan]))
assert not array_equivalent(
np.array(['a', 'b', 'c', 'd']), np.array(['e', 'e']))
assert array_equivalent(Float64Index([0, np.nan]),
Float64Index([0, np.nan]))
assert not array_equivalent(
Float64Index([0, np.nan]), Float64Index([1, np.nan]))
assert array_equivalent(DatetimeIndex([0, np.nan]),
DatetimeIndex([0, np.nan]))
assert not array_equivalent(
DatetimeIndex([0, np.nan]), DatetimeIndex([1, np.nan]))
assert array_equivalent(TimedeltaIndex([0, np.nan]),
TimedeltaIndex([0, np.nan]))
assert not array_equivalent(
TimedeltaIndex([0, np.nan]), TimedeltaIndex([1, np.nan]))
assert array_equivalent(DatetimeIndex([0, np.nan], tz='US/Eastern'),
DatetimeIndex([0, np.nan], tz='US/Eastern'))
assert not array_equivalent(
DatetimeIndex([0, np.nan], tz='US/Eastern'), DatetimeIndex(
[1, np.nan], tz='US/Eastern'))
assert not array_equivalent(
DatetimeIndex([0, np.nan]), DatetimeIndex(
[0, np.nan], tz='US/Eastern'))
assert not array_equivalent(
DatetimeIndex([0, np.nan], tz='CET'), DatetimeIndex(
[0, np.nan], tz='US/Eastern'))
assert not array_equivalent(
DatetimeIndex([0, np.nan]), TimedeltaIndex([0, np.nan]))