mirror of
https://github.com/apache/superset.git
synced 2024-09-19 12:09:42 -04:00
54 lines
2.1 KiB
Python
54 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 dateutil.parser import parse
|
|
|
|
from superset.exceptions import InvalidPostProcessingError
|
|
from superset.utils.pandas_postprocessing import sort
|
|
from tests.unit_tests.fixtures.dataframes import categories_df, timeseries_df
|
|
from tests.unit_tests.pandas_postprocessing.utils import series_to_list
|
|
|
|
|
|
def test_sort():
|
|
df = sort(df=categories_df, by=["category", "asc_idx"], ascending=[True, False])
|
|
assert series_to_list(df["asc_idx"])[1] == 96
|
|
|
|
df = sort(df=categories_df.set_index("name"), is_sort_index=True)
|
|
assert df.index[0] == "person0"
|
|
|
|
df = sort(df=categories_df.set_index("name"), is_sort_index=True, ascending=False)
|
|
assert df.index[0] == "person99"
|
|
|
|
df = sort(df=categories_df.set_index("name"), by="asc_idx")
|
|
assert df["asc_idx"][0] == 0
|
|
|
|
df = sort(df=categories_df.set_index("name"), by="asc_idx", ascending=False)
|
|
assert df["asc_idx"][0] == 100
|
|
|
|
df = sort(df=timeseries_df, is_sort_index=True)
|
|
assert df.index[0] == parse("2019-01-01")
|
|
|
|
df = sort(df=timeseries_df, is_sort_index=True, ascending=False)
|
|
assert df.index[0] == parse("2019-01-07")
|
|
|
|
df = sort(df=timeseries_df)
|
|
assert df.equals(timeseries_df)
|
|
|
|
with pytest.raises(InvalidPostProcessingError):
|
|
sort(df=df, by="abc", ascending=False)
|
|
sort(df=df, by=["abc", "def"])
|