def _comp_method_OBJECT_ARRAY(op, x, y):
if isinstance(y, list):
y = construct_1d_object_array_from_listlike(y)
if isinstance(y, (np.ndarray, ABCSeries, ABCIndex)):
if not is_object_dtype(y.dtype):
y = y.astype(np.object_)
if isinstance(y, (ABCSeries, ABCIndex)):
y = y.values
result = libops.vec_compare(x, y, op)
else:
result = libops.scalar_compare(x, y, op)
return result
def comp_method_OBJECT_ARRAY(op, x, y):
if isinstance(y, list):
y = construct_1d_object_array_from_listlike(y)
# TODO: Should the checks below be ABCIndexClass?
if isinstance(y, (np.ndarray, ABCSeries, ABCIndex)):
# TODO: should this be ABCIndexClass??
if not is_object_dtype(y.dtype):
y = y.astype(np.object_)
if isinstance(y, (ABCSeries, ABCIndex)):
y = y.values
result = libops.vec_compare(x.ravel(), y, op)
else:
result = libops.scalar_compare(x.ravel(), y, op)
return result.reshape(x.shape)
def comp_method_OBJECT_ARRAY(op, x, y):
if isinstance(y, list):
y = construct_1d_object_array_from_listlike(y)
if isinstance(y, (np.ndarray, ABCSeries, ABCIndex)):
# Note: these checks can be for ABCIndex and not ABCIndexClass
# because that is the only object-dtype class.
if not is_object_dtype(y.dtype):
y = y.astype(np.object_)
if isinstance(y, (ABCSeries, ABCIndex)):
y = y.values
result = libops.vec_compare(x.ravel(), y, op)
else:
result = libops.scalar_compare(x.ravel(), y, op)
return result.reshape(x.shape)
def comp_method_OBJECT_ARRAY(op, x, y):
if isinstance(y, list):
y = construct_1d_object_array_from_listlike(y)
if isinstance(y, (np.ndarray, ABCSeries, ABCIndex)):
if not is_object_dtype(y.dtype):
y = y.astype(np.object_)
if isinstance(y, (ABCSeries, ABCIndex)):
y = y._values
if x.shape != y.shape:
raise ValueError("Shapes must match", x.shape, y.shape)
result = libops.vec_compare(x.ravel(), y.ravel(), op)
else:
result = libops.scalar_compare(x.ravel(), y, op)
return result.reshape(x.shape)
