def test_duplicated_with_nas():
keys = np.array([0, 1, nan, 0, 2, nan], dtype=object)
result = lib.duplicated(keys)
expected = [False, False, False, True, False, True]
assert (np.array_equal(result, expected))
result = lib.duplicated(keys, take_last=True)
expected = [True, False, True, False, False, False]
assert (np.array_equal(result, expected))
keys = np.empty(8, dtype=object)
for i, t in enumerate(list(zip([0, 0, nan, nan] * 2,
[0, nan, 0, nan] * 2))):
keys[i] = t
result = lib.duplicated(keys)
falses = [False] * 4
trues = [True] * 4
expected = falses + trues
assert (np.array_equal(result, expected))
result = lib.duplicated(keys, take_last=True)
expected = trues + falses
assert (np.array_equal(result, expected))
def duplicated(self, keep="first"):
keys = com._values_from_object(com._ensure_object(self.values))
duplicated = lib.duplicated(keys, keep=keep)
try:
return self._constructor(duplicated, index=self.index).__finalize__(self)
except AttributeError:
return np.array(duplicated, dtype=bool)
def duplicated(self, take_last=False):
keys = com._ensure_object(self.values)
duplicated = lib.duplicated(keys, take_last=take_last)
try:
return self._constructor(duplicated, index=self.index).__finalize__(self)
except AttributeError:
return np.array(duplicated, dtype=bool)
def duplicated(self, keep='first'):
keys = com._values_from_object(com._ensure_object(self.values))
duplicated = lib.duplicated(keys, keep=keep)
try:
return self._constructor(duplicated,
index=self.index).__finalize__(self)
except AttributeError:
return np.array(duplicated, dtype=bool)
def duplicated(self, take_last=False):
keys = com._ensure_object(self.values)
duplicated = lib.duplicated(keys, take_last=take_last)
try:
return self._constructor(duplicated,
index=self.index).__finalize__(self)
except AttributeError:
return np.array(duplicated, dtype=bool)
def duplicated(self, take_last=False):
keys = com._ensure_object(self.values)
duplicated = lib.duplicated(keys, take_last=take_last)
try:
return self._constructor(duplicated,
index=self.index).__finalize__(self)
except AttributeError:
from pandas.core.index import Index
return Index(duplicated)
def test_duplicated_with_nas():
keys = np.array([0, 1, nan, 0, 2, nan], dtype=object)
result = lib.duplicated(keys)
expected = [False, False, False, True, False, True]
assert(np.array_equal(result, expected))
result = lib.duplicated(keys, take_last=True)
expected = [True, False, True, False, False, False]
assert(np.array_equal(result, expected))
keys = np.empty(8, dtype=object)
for i, t in enumerate(zip([0, 0, nan, nan] * 2, [0, nan, 0, nan] * 2)):
keys[i] = t
result = lib.duplicated(keys)
falses = [False] * 4
trues = [True] * 4
expected = falses + trues
assert(np.array_equal(result, expected))
result = lib.duplicated(keys, take_last=True)
expected = trues + falses
assert(np.array_equal(result, expected))