mirror of https://github.com/apache/superset.git
54 lines
2.1 KiB
Python
54 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 dateutil.parser import parse
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from superset.exceptions import InvalidPostProcessingError
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from superset.utils.pandas_postprocessing import sort
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from tests.unit_tests.fixtures.dataframes import categories_df, timeseries_df
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from tests.unit_tests.pandas_postprocessing.utils import series_to_list
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def test_sort():
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df = sort(df=categories_df, by=["category", "asc_idx"], ascending=[True, False])
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assert series_to_list(df["asc_idx"])[1] == 96
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df = sort(df=categories_df.set_index("name"), is_sort_index=True)
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assert df.index[0] == "person0"
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df = sort(df=categories_df.set_index("name"), is_sort_index=True, ascending=False)
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assert df.index[0] == "person99"
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df = sort(df=categories_df.set_index("name"), by="asc_idx")
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assert df["asc_idx"][0] == 0
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df = sort(df=categories_df.set_index("name"), by="asc_idx", ascending=False)
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assert df["asc_idx"][0] == 100
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df = sort(df=timeseries_df, is_sort_index=True)
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assert df.index[0] == parse("2019-01-01")
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df = sort(df=timeseries_df, is_sort_index=True, ascending=False)
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assert df.index[0] == parse("2019-01-07")
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df = sort(df=timeseries_df)
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assert df.equals(timeseries_df)
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with pytest.raises(InvalidPostProcessingError):
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sort(df=df, by="abc", ascending=False)
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sort(df=df, by=["abc", "def"])
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