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176 lines
4.7 KiB
Python
176 lines
4.7 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 pandas as pd
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import pytest
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from superset.exceptions import InvalidPostProcessingError
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from superset.utils import pandas_postprocessing as pp
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from tests.unit_tests.fixtures.dataframes import categories_df
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def test_rename_should_not_side_effect():
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_categories_df = categories_df.copy()
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pp.rename(
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df=_categories_df,
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columns={
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"constant": "constant_newname",
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"category": "category_namename",
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},
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)
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assert _categories_df.equals(categories_df)
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def test_rename():
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new_categories_df = pp.rename(
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df=categories_df,
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columns={
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"constant": "constant_newname",
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"category": "category_newname",
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},
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)
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assert list(new_categories_df.columns.values) == [
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"constant_newname",
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"category_newname",
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"dept",
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"name",
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"asc_idx",
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"desc_idx",
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"idx_nulls",
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]
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assert not new_categories_df.equals(categories_df)
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def test_should_inplace_rename():
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_categories_df = categories_df.copy()
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_categories_df_inplaced = pp.rename(
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df=_categories_df,
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columns={
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"constant": "constant_newname",
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"category": "category_namename",
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},
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inplace=True,
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)
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assert _categories_df_inplaced.equals(_categories_df)
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def test_should_rename_on_level():
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iterables = [["m1", "m2"], ["a", "b"], ["x", "y"]]
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columns = pd.MultiIndex.from_product(iterables, names=[None, "level1", "level2"])
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df = pd.DataFrame(index=[0, 1, 2], columns=columns, data=1)
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"""
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m1 m2
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level1 a b a b
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level2 x y x y x y x y
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0 1 1 1 1 1 1 1 1
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1 1 1 1 1 1 1 1 1
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2 1 1 1 1 1 1 1 1
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"""
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post_df = pp.rename(
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df=df,
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columns={"m1": "new_m1"},
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level=0,
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)
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assert post_df.columns.get_level_values(level=0).equals(
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pd.Index(
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[
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"new_m1",
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"new_m1",
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"new_m1",
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"new_m1",
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"m2",
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"m2",
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"m2",
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"m2",
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]
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)
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)
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def test_should_raise_exception_no_column():
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with pytest.raises(InvalidPostProcessingError):
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pp.rename(
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df=categories_df,
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columns={
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"foobar": "foobar2",
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},
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)
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def test_should_raise_exception_duplication():
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with pytest.raises(InvalidPostProcessingError):
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pp.rename(
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df=categories_df,
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columns={
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"constant": "category",
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},
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)
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def test_should_raise_exception_duplication_on_multiindx():
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iterables = [["m1", "m2"], ["a", "b"], ["x", "y"]]
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columns = pd.MultiIndex.from_product(iterables, names=[None, "level1", "level2"])
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df = pd.DataFrame(index=[0, 1, 2], columns=columns, data=1)
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"""
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m1 m2
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level1 a b a b
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level2 x y x y x y x y
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0 1 1 1 1 1 1 1 1
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1 1 1 1 1 1 1 1 1
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2 1 1 1 1 1 1 1 1
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"""
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with pytest.raises(InvalidPostProcessingError):
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pp.rename(
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df=df,
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columns={
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"m1": "m2",
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},
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level=0,
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)
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pp.rename(
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df=df,
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columns={
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"a": "b",
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},
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level=1,
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)
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def test_should_raise_exception_invalid_level():
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with pytest.raises(InvalidPostProcessingError):
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pp.rename(
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df=categories_df,
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columns={
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"constant": "new_constant",
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},
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level=100,
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)
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pp.rename(
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df=categories_df,
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columns={
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"constant": "new_constant",
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},
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level="xxxxx",
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)
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def test_should_return_df_empty_columns():
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assert pp.rename(
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df=categories_df,
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columns={},
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).equals(categories_df)
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