| # |
| # 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 unittest |
| |
| import pandas as pd |
| |
| from pyspark import pandas as ps |
| from pyspark.testing.pandasutils import PandasOnSparkTestCase |
| from pyspark.testing.sqlutils import SQLTestUtils |
| |
| |
| class FrameTakeAdvMixin: |
| def test_take_adv(self): |
| pdf = pd.DataFrame( |
| {"A": range(0, 50000), "B": range(100000, 0, -2), "C": range(100000, 50000, -1)} |
| ) |
| psdf = ps.from_pandas(pdf) |
| |
| # MultiIndex columns |
| columns = pd.MultiIndex.from_tuples([("A", "Z"), ("B", "X"), ("C", "C")]) |
| psdf.columns = columns |
| pdf.columns = columns |
| |
| # MultiIndex columns with axis=0 (default) |
| self.assert_eq(psdf.take([1, 2]).sort_index(), pdf.take([1, 2]).sort_index()) |
| self.assert_eq(psdf.take([-1, -2]).sort_index(), pdf.take([-1, -2]).sort_index()) |
| self.assert_eq( |
| psdf.take(range(100, 110)).sort_index(), pdf.take(range(100, 110)).sort_index() |
| ) |
| self.assert_eq( |
| psdf.take(range(-110, -100)).sort_index(), pdf.take(range(-110, -100)).sort_index() |
| ) |
| self.assert_eq( |
| psdf.take([10, 100, 1000, 10000]).sort_index(), |
| pdf.take([10, 100, 1000, 10000]).sort_index(), |
| ) |
| self.assert_eq( |
| psdf.take([-10, -100, -1000, -10000]).sort_index(), |
| pdf.take([-10, -100, -1000, -10000]).sort_index(), |
| ) |
| |
| # axis=1 |
| self.assert_eq( |
| psdf.take([1, 2], axis=1).sort_index(), pdf.take([1, 2], axis=1).sort_index() |
| ) |
| self.assert_eq( |
| psdf.take([-1, -2], axis=1).sort_index(), pdf.take([-1, -2], axis=1).sort_index() |
| ) |
| self.assert_eq( |
| psdf.take(range(1, 3), axis=1).sort_index(), |
| pdf.take(range(1, 3), axis=1).sort_index(), |
| ) |
| self.assert_eq( |
| psdf.take(range(-1, -3), axis=1).sort_index(), |
| pdf.take(range(-1, -3), axis=1).sort_index(), |
| ) |
| self.assert_eq( |
| psdf.take([2, 1], axis=1).sort_index(), |
| pdf.take([2, 1], axis=1).sort_index(), |
| ) |
| self.assert_eq( |
| psdf.take([-1, -2], axis=1).sort_index(), |
| pdf.take([-1, -2], axis=1).sort_index(), |
| ) |
| |
| # Checking the type of indices. |
| self.assertRaises(TypeError, lambda: psdf.take(1)) |
| self.assertRaises(TypeError, lambda: psdf.take("1")) |
| self.assertRaises(TypeError, lambda: psdf.take({1, 2})) |
| self.assertRaises(TypeError, lambda: psdf.take({1: None, 2: None})) |
| |
| |
| class FrameTakeAdvTests( |
| FrameTakeAdvMixin, |
| PandasOnSparkTestCase, |
| SQLTestUtils, |
| ): |
| pass |
| |
| |
| if __name__ == "__main__": |
| from pyspark.pandas.tests.frame.test_take_adv import * # noqa: F401 |
| |
| try: |
| import xmlrunner |
| |
| testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2) |
| except ImportError: |
| testRunner = None |
| unittest.main(testRunner=testRunner, verbosity=2) |