| # |
| # 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 numpy as np |
| import pandas as pd |
| |
| from pyspark import pandas as ps |
| from pyspark.testing.pandasutils import PandasOnSparkTestCase |
| |
| |
| class GetDummiesObjectMixin: |
| def test_get_dummies_object(self): |
| pdf = pd.DataFrame( |
| { |
| "a": [1, 2, 3, 4, 4, 3, 2, 1], |
| # 'a': pd.Categorical([1, 2, 3, 4, 4, 3, 2, 1]), |
| "b": list("abcdabcd"), |
| # 'c': pd.Categorical(list('abcdabcd')), |
| "c": list("abcdabcd"), |
| } |
| ) |
| psdf = ps.from_pandas(pdf) |
| |
| # Explicitly exclude object columns |
| self.assert_eq( |
| ps.get_dummies(psdf, columns=["a", "c"]), |
| pd.get_dummies(pdf, columns=["a", "c"], dtype=np.int8), |
| ) |
| |
| self.assert_eq(ps.get_dummies(psdf), pd.get_dummies(pdf, dtype=np.int8)) |
| self.assert_eq(ps.get_dummies(psdf.b), pd.get_dummies(pdf.b, dtype=np.int8)) |
| self.assert_eq( |
| ps.get_dummies(psdf, columns=["b"]), pd.get_dummies(pdf, columns=["b"], dtype=np.int8) |
| ) |
| |
| self.assertRaises(KeyError, lambda: ps.get_dummies(psdf, columns=("a", "c"))) |
| self.assertRaises(TypeError, lambda: ps.get_dummies(psdf, columns="b")) |
| |
| # non-string names |
| pdf = pd.DataFrame( |
| {10: [1, 2, 3, 4, 4, 3, 2, 1], 20: list("abcdabcd"), 30: list("abcdabcd")} |
| ) |
| psdf = ps.from_pandas(pdf) |
| |
| self.assert_eq( |
| ps.get_dummies(psdf, columns=[10, 30]), |
| pd.get_dummies(pdf, columns=[10, 30], dtype=np.int8), |
| ) |
| |
| self.assertRaises(TypeError, lambda: ps.get_dummies(psdf, columns=10)) |
| |
| |
| class GetDummiesObjectTests( |
| GetDummiesObjectMixin, |
| PandasOnSparkTestCase, |
| ): |
| pass |
| |
| |
| if __name__ == "__main__": |
| import unittest |
| from pyspark.pandas.tests.reshape.test_get_dummies_object 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) |