# 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. import pytest from superset.exceptions import InvalidPostProcessingError from superset.utils.pandas_postprocessing.select import select from tests.unit_tests.fixtures.dataframes import timeseries_df def test_select(): # reorder columns post_df = select(df=timeseries_df, columns=["y", "label"]) assert post_df.columns.tolist() == ["y", "label"] # one column post_df = select(df=timeseries_df, columns=["label"]) assert post_df.columns.tolist() == ["label"] # rename and select one column post_df = select(df=timeseries_df, columns=["y"], rename={"y": "y1"}) assert post_df.columns.tolist() == ["y1"] # rename one and leave one unchanged post_df = select(df=timeseries_df, rename={"y": "y1"}) assert post_df.columns.tolist() == ["label", "y1"] # drop one column post_df = select(df=timeseries_df, exclude=["label"]) assert post_df.columns.tolist() == ["y"] # rename and drop one column post_df = select(df=timeseries_df, rename={"y": "y1"}, exclude=["label"]) assert post_df.columns.tolist() == ["y1"] # invalid columns with pytest.raises(InvalidPostProcessingError): select(df=timeseries_df, columns=["abc"], rename={"abc": "qwerty"}) # select renamed column by new name with pytest.raises(InvalidPostProcessingError): select(df=timeseries_df, columns=["label_new"], rename={"label": "label_new"})