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| # 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 import diff | |
| from tests.unit_tests.fixtures.dataframes import timeseries_df, timeseries_df2 | |
| from tests.unit_tests.pandas_postprocessing.utils import series_to_list | |
| def test_diff(): | |
| # overwrite column | |
| post_df = diff(df=timeseries_df, columns={"y": "y"}) | |
| assert post_df.columns.tolist() == ["label", "y"] | |
| assert series_to_list(post_df["y"]) == [None, 1.0, 1.0, 1.0] | |
| # add column | |
| post_df = diff(df=timeseries_df, columns={"y": "y1"}) | |
| assert post_df.columns.tolist() == ["label", "y", "y1"] | |
| assert series_to_list(post_df["y"]) == [1.0, 2.0, 3.0, 4.0] | |
| assert series_to_list(post_df["y1"]) == [None, 1.0, 1.0, 1.0] | |
| # look ahead | |
| post_df = diff(df=timeseries_df, columns={"y": "y1"}, periods=-1) | |
| assert series_to_list(post_df["y1"]) == [-1.0, -1.0, -1.0, None] | |
| # invalid column reference | |
| with pytest.raises(InvalidPostProcessingError): | |
| diff( | |
| df=timeseries_df, | |
| columns={"abc": "abc"}, | |
| ) | |
| # diff by columns | |
| post_df = diff(df=timeseries_df2, columns={"y": "y", "z": "z"}, axis=1) | |
| assert post_df.columns.tolist() == ["label", "y", "z"] | |
| assert series_to_list(post_df["z"]) == [0.0, 2.0, 8.0, 6.0] | |