# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. from typing import Optional, Union from pandas import DataFrame from superset.utils.pandas_postprocessing.utils import validate_column_args # pylint: disable=invalid-name @validate_column_args("by") def sort( df: DataFrame, is_sort_index: bool = False, by: Optional[Union[list[str], str]] = None, ascending: Union[list[bool], bool] = True, ) -> DataFrame: """ Sort a DataFrame. :param df: DataFrame to sort. :param is_sort_index: Whether by index or value to sort :param by: Name or list of names to sort by. :param ascending: Sort ascending or descending. :return: Sorted DataFrame :raises InvalidPostProcessingError: If the request in incorrect """ if not is_sort_index and not by: return df if is_sort_index: return df.sort_index(ascending=ascending) return df.sort_values(by=by, ascending=ascending)