mirror of https://github.com/apache/superset.git
52 lines
2.1 KiB
Python
52 lines
2.1 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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import pytest
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from superset.exceptions import InvalidPostProcessingError
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from superset.utils.pandas_postprocessing import diff
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from tests.unit_tests.fixtures.dataframes import timeseries_df, timeseries_df2
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from tests.unit_tests.pandas_postprocessing.utils import series_to_list
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def test_diff():
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# overwrite column
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post_df = diff(df=timeseries_df, columns={"y": "y"})
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assert post_df.columns.tolist() == ["label", "y"]
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assert series_to_list(post_df["y"]) == [None, 1.0, 1.0, 1.0]
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# add column
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post_df = diff(df=timeseries_df, columns={"y": "y1"})
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assert post_df.columns.tolist() == ["label", "y", "y1"]
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assert series_to_list(post_df["y"]) == [1.0, 2.0, 3.0, 4.0]
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assert series_to_list(post_df["y1"]) == [None, 1.0, 1.0, 1.0]
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# look ahead
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post_df = diff(df=timeseries_df, columns={"y": "y1"}, periods=-1)
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assert series_to_list(post_df["y1"]) == [-1.0, -1.0, -1.0, None]
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# invalid column reference
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with pytest.raises(InvalidPostProcessingError):
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diff(
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df=timeseries_df,
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columns={"abc": "abc"},
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)
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# diff by columns
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post_df = diff(df=timeseries_df2, columns={"y": "y", "z": "z"}, axis=1)
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assert post_df.columns.tolist() == ["label", "y", "z"]
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assert series_to_list(post_df["z"]) == [0.0, 2.0, 8.0, 6.0]
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