| # |
| # 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 GroupbySplitApplyTestingFuncMixin: |
| def _test_split_apply_func(self, funcs): |
| # TODO(SPARK-45228): Enabling string type columns for `test_split_apply_combine_on_series` |
| # when Pandas regression is fixed |
| # There is a regression in Pandas 2.1.0, |
| # so we should manually cast to float until the regression is fixed. |
| # See https://github.com/pandas-dev/pandas/issues/55194. |
| pdf = pd.DataFrame( |
| { |
| "a": [1, 2, 6, 4, 4, 6, 4, 3, 7], |
| "b": [4, 2, 7, 3, 3, 1, 1, 1, 2], |
| "c": [4, 2, 7, 3, None, 1, 1, 1, 2], |
| # "d": list("abcdefght"), |
| }, |
| index=[0, 1, 3, 5, 6, 8, 9, 9, 9], |
| ) |
| psdf = ps.from_pandas(pdf) |
| |
| funcs = [ |
| ( |
| check_exact, |
| almost, |
| f, |
| ) |
| for (check_exact, almost), fs in funcs |
| for f in fs |
| ] |
| |
| for as_index in [True, False]: |
| if as_index: |
| |
| def sort(df): |
| return df.sort_index() |
| |
| else: |
| |
| def sort(df): |
| return df.sort_values(list(df.columns)).reset_index(drop=True) |
| |
| for check_exact, almost, func in funcs: |
| for kkey, pkey in [("b", "b"), (psdf.b, pdf.b)]: |
| with self.subTest(as_index=as_index, func=func, key=pkey): |
| if as_index is True or func != "std": |
| self.assert_eq( |
| sort(getattr(psdf.groupby(kkey, as_index=as_index).a, func)()), |
| sort(getattr(pdf.groupby(pkey, as_index=as_index).a, func)()), |
| check_exact=check_exact, |
| almost=almost, |
| ) |
| self.assert_eq( |
| sort(getattr(psdf.groupby(kkey, as_index=as_index), func)()), |
| sort(getattr(pdf.groupby(pkey, as_index=as_index), func)()), |
| check_exact=check_exact, |
| almost=almost, |
| ) |
| else: |
| # seems like a pandas' bug for as_index=False and func == "std"? |
| self.assert_eq( |
| sort(getattr(psdf.groupby(kkey, as_index=as_index).a, func)()), |
| sort(pdf.groupby(pkey, as_index=True).a.std().reset_index()), |
| check_exact=check_exact, |
| almost=almost, |
| ) |
| self.assert_eq( |
| sort(getattr(psdf.groupby(kkey, as_index=as_index), func)()), |
| sort(pdf.groupby(pkey, as_index=True).std().reset_index()), |
| check_exact=check_exact, |
| almost=almost, |
| ) |
| |
| for kkey, pkey in [(psdf.b + 1, pdf.b + 1), (psdf.copy().b, pdf.copy().b)]: |
| with self.subTest(as_index=as_index, func=func, key=pkey): |
| self.assert_eq( |
| sort(getattr(psdf.groupby(kkey, as_index=as_index).a, func)()), |
| sort(getattr(pdf.groupby(pkey, as_index=as_index).a, func)()), |
| check_exact=check_exact, |
| almost=almost, |
| ) |
| self.assert_eq( |
| sort(getattr(psdf.groupby(kkey, as_index=as_index), func)()), |
| sort(getattr(pdf.groupby(pkey, as_index=as_index), func)()), |
| check_exact=check_exact, |
| almost=almost, |
| ) |
| |
| for check_exact, almost, func in funcs: |
| for i in [0, 4, 7]: |
| with self.subTest(as_index=as_index, func=func, i=i): |
| self.assert_eq( |
| sort(getattr(psdf.groupby(psdf.b > i, as_index=as_index).a, func)()), |
| sort(getattr(pdf.groupby(pdf.b > i, as_index=as_index).a, func)()), |
| check_exact=check_exact, |
| almost=almost, |
| ) |
| self.assert_eq( |
| sort(getattr(psdf.groupby(psdf.b > i, as_index=as_index), func)()), |
| sort(getattr(pdf.groupby(pdf.b > i, as_index=as_index), func)()), |
| check_exact=check_exact, |
| almost=almost, |
| ) |
| |
| for check_exact, almost, func in funcs: |
| for kkey, pkey in [ |
| (psdf.b, pdf.b), |
| (psdf.b + 1, pdf.b + 1), |
| (psdf.copy().b, pdf.copy().b), |
| (psdf.b.rename(), pdf.b.rename()), |
| ]: |
| with self.subTest(func=func, key=pkey): |
| self.assert_eq( |
| getattr(psdf.a.groupby(kkey), func)().sort_index(), |
| getattr(pdf.a.groupby(pkey), func)().sort_index(), |
| check_exact=check_exact, |
| almost=almost, |
| ) |
| self.assert_eq( |
| getattr((psdf.a + 1).groupby(kkey), func)().sort_index(), |
| getattr((pdf.a + 1).groupby(pkey), func)().sort_index(), |
| check_exact=check_exact, |
| almost=almost, |
| ) |
| self.assert_eq( |
| getattr((psdf.b + 1).groupby(kkey), func)().sort_index(), |
| getattr((pdf.b + 1).groupby(pkey), func)().sort_index(), |
| check_exact=check_exact, |
| almost=almost, |
| ) |
| self.assert_eq( |
| getattr(psdf.a.rename().groupby(kkey), func)().sort_index(), |
| getattr(pdf.a.rename().groupby(pkey), func)().sort_index(), |
| check_exact=check_exact, |
| almost=almost, |
| ) |
| |
| |
| class GroupbySplitApplyMixin(GroupbySplitApplyTestingFuncMixin): |
| def test_split_apply_combine_on_series(self): |
| funcs = [ |
| ((True, False), ["sum"]), |
| ((True, True), ["mean"]), |
| ] |
| self._test_split_apply_func(funcs) |
| |
| |
| class GroupbySplitApplyTests( |
| GroupbySplitApplyMixin, |
| PandasOnSparkTestCase, |
| SQLTestUtils, |
| ): |
| pass |
| |
| |
| if __name__ == "__main__": |
| from pyspark.pandas.tests.groupby.test_split_apply 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) |