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)