superset/tests/unit_tests/pandas_postprocessing/test_select.py

56 lines
2.1 KiB
Python

# 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"})