| # |
| # 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 numpy as np |
| import pandas as pd |
| |
| import pyspark.pandas as ps |
| from pyspark.testing.pandasutils import PandasOnSparkTestCase, TestUtils |
| |
| |
| class IndexesDiffMixin: |
| def test_difference(self): |
| # Index |
| pidx1 = pd.Index([1, 2, 3, 4], name="koalas") |
| pidx2 = pd.Index([3, 4, 5, 6], name="koalas") |
| psidx1 = ps.from_pandas(pidx1) |
| psidx2 = ps.from_pandas(pidx2) |
| # Series |
| pser = pd.Series([3, 4, 5, 6], name="koalas") |
| psser = ps.from_pandas(pser) |
| |
| self.assert_eq( |
| psidx1.difference(psidx2).sort_values(), pidx1.difference(pidx2).sort_values() |
| ) |
| self.assert_eq(psidx1.difference(psser).sort_values(), pidx1.difference(pser).sort_values()) |
| self.assert_eq( |
| psidx1.difference([3, 4, 5, 6]).sort_values(), |
| pidx1.difference([3, 4, 5, 6]).sort_values(), |
| ) |
| self.assert_eq( |
| psidx1.difference((3, 4, 5, 6)).sort_values(), |
| pidx1.difference((3, 4, 5, 6)).sort_values(), |
| ) |
| self.assert_eq( |
| psidx1.difference({3, 4, 5, 6}).sort_values(), |
| pidx1.difference({3, 4, 5, 6}).sort_values(), |
| ) |
| self.assert_eq( |
| psidx1.difference({3: 1, 4: 2, 5: 3, 6: 4}).sort_values(), |
| pidx1.difference({3: 1, 4: 2, 5: 3, 6: 4}).sort_values(), |
| ) |
| |
| # Exceptions for Index |
| with self.assertRaisesRegex(TypeError, "Input must be Index or array-like"): |
| psidx1.difference("1234") |
| with self.assertRaisesRegex(TypeError, "Input must be Index or array-like"): |
| psidx1.difference(1234) |
| with self.assertRaisesRegex(TypeError, "Input must be Index or array-like"): |
| psidx1.difference(12.34) |
| with self.assertRaisesRegex(TypeError, "Input must be Index or array-like"): |
| psidx1.difference(None) |
| with self.assertRaisesRegex(TypeError, "Input must be Index or array-like"): |
| psidx1.difference(np.nan) |
| with self.assertRaisesRegex( |
| ValueError, "The 'sort' keyword only takes the values of None or True; 1 was passed." |
| ): |
| psidx1.difference(psidx2, sort=1) |
| |
| # MultiIndex |
| pmidx1 = pd.MultiIndex.from_tuples( |
| [("a", "x", 1), ("b", "y", 2), ("c", "z", 3)], names=["hello", "koalas", "world"] |
| ) |
| pmidx2 = pd.MultiIndex.from_tuples( |
| [("a", "x", 1), ("b", "z", 2), ("k", "z", 3)], names=["hello", "koalas", "world"] |
| ) |
| psmidx1 = ps.from_pandas(pmidx1) |
| psmidx2 = ps.from_pandas(pmidx2) |
| |
| self.assert_eq( |
| psmidx1.difference(psmidx2).sort_values(), pmidx1.difference(pmidx2).sort_values() |
| ) |
| self.assert_eq( |
| psmidx1.difference(psidx1).sort_values(), pmidx1.difference(pidx1).sort_values() |
| ) |
| self.assert_eq( |
| psidx1.difference(psmidx1).sort_values(), pidx1.difference(pmidx1).sort_values() |
| ) |
| self.assert_eq(psidx1.difference(psser).sort_values(), pidx1.difference(pser).sort_values()) |
| self.assert_eq( |
| psmidx1.difference({("a", "x", 1)}).sort_values(), |
| pmidx1.difference({("a", "x", 1)}).sort_values(), |
| ) |
| self.assert_eq( |
| psmidx1.difference({("a", "x", 1): [1, 2, 3]}).sort_values(), |
| pmidx1.difference({("a", "x", 1): [1, 2, 3]}).sort_values(), |
| ) |
| |
| # Exceptions for MultiIndex |
| with self.assertRaisesRegex(TypeError, "other must be a MultiIndex or a list of tuples"): |
| psmidx1.difference(["b", "z", "2"]) |
| |
| |
| class IndexesDiffTests( |
| IndexesDiffMixin, |
| PandasOnSparkTestCase, |
| TestUtils, |
| ): |
| pass |
| |
| |
| if __name__ == "__main__": |
| from pyspark.pandas.tests.indexes.test_diff 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) |