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53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
# Licensed to Elasticsearch B.V. under one or more contributor
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# license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright
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# ownership. Elasticsearch B.V. licenses this file to you under
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# the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License.
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# 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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# File called _pytest for PyCharm compatability
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class TestDataFrameDrop:
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def test_drop(self, df):
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df.drop(["Carrier", "DestCityName"], axis=1)
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df.drop(columns=["Carrier", "DestCityName"])
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df.drop(["1", "2"])
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df.drop(["1", "2"], axis=0)
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df.drop(index=["1", "2"])
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def test_drop_all_columns(self, df):
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all_columns = list(df.columns)
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rows = df.shape[0]
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for dropped in (
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df.drop(labels=all_columns, axis=1),
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df.drop(columns=all_columns),
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df.drop(all_columns, axis=1),
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):
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assert dropped.shape == (rows, 0)
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assert list(dropped.columns) == []
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def test_drop_all_index(self, df):
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all_index = list(df.pd.index)
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cols = df.shape[1]
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for dropped in (
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df.drop(all_index),
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df.drop(all_index, axis=0),
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df.drop(index=all_index),
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):
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assert dropped.shape == (0, cols)
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assert list(dropped.to_pandas().index) == []
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