| # |
| # 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 inspect |
| |
| from pyspark import pandas as ps |
| from pyspark.pandas.exceptions import PandasNotImplementedError |
| from pyspark.pandas.missing.window import ( |
| MissingPandasLikeExpanding, |
| MissingPandasLikeRolling, |
| MissingPandasLikeExpandingGroupby, |
| MissingPandasLikeRollingGroupby, |
| ) |
| from pyspark.testing.pandasutils import PandasOnSparkTestCase, TestUtils |
| |
| |
| class ExpandingRollingTest(PandasOnSparkTestCase, TestUtils): |
| def test_missing(self): |
| psdf = ps.DataFrame({"a": [1, 2, 3, 4, 5, 6, 7, 8, 9]}) |
| |
| # Expanding functions |
| missing_functions = inspect.getmembers(MissingPandasLikeExpanding, inspect.isfunction) |
| unsupported_functions = [ |
| name for (name, type_) in missing_functions if type_.__name__ == "unsupported_function" |
| ] |
| for name in unsupported_functions: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "method.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.expanding(1), name)() # Frame |
| |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "method.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.a.expanding(1), name)() # Series |
| |
| deprecated_functions = [ |
| name for (name, type_) in missing_functions if type_.__name__ == "deprecated_function" |
| ] |
| for name in deprecated_functions: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "method.*Expanding.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.expanding(1), name)() # Frame |
| |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "method.*Expanding.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.a.expanding(1), name)() # Series |
| |
| # Rolling functions |
| missing_functions = inspect.getmembers(MissingPandasLikeRolling, inspect.isfunction) |
| unsupported_functions = [ |
| name for (name, type_) in missing_functions if type_.__name__ == "unsupported_function" |
| ] |
| for name in unsupported_functions: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "method.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.rolling(1), name)() # Frame |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "method.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.a.rolling(1), name)() # Series |
| |
| deprecated_functions = [ |
| name for (name, type_) in missing_functions if type_.__name__ == "deprecated_function" |
| ] |
| for name in deprecated_functions: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "method.*Rolling.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.rolling(1), name)() # Frame |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "method.*Rolling.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.a.rolling(1), name)() # Series |
| |
| # Expanding properties |
| missing_properties = inspect.getmembers( |
| MissingPandasLikeExpanding, lambda o: isinstance(o, property) |
| ) |
| unsupported_properties = [ |
| name |
| for (name, type_) in missing_properties |
| if type_.fget.__name__ == "unsupported_property" |
| ] |
| for name in unsupported_properties: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "property.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.expanding(1), name) # Frame |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "property.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.a.expanding(1), name) # Series |
| |
| deprecated_properties = [ |
| name |
| for (name, type_) in missing_properties |
| if type_.fget.__name__ == "deprecated_property" |
| ] |
| for name in deprecated_properties: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "property.*Expanding.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.expanding(1), name) # Frame |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "property.*Expanding.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.a.expanding(1), name) # Series |
| |
| # Rolling properties |
| missing_properties = inspect.getmembers( |
| MissingPandasLikeRolling, lambda o: isinstance(o, property) |
| ) |
| unsupported_properties = [ |
| name |
| for (name, type_) in missing_properties |
| if type_.fget.__name__ == "unsupported_property" |
| ] |
| for name in unsupported_properties: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "property.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.rolling(1), name)() # Frame |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "property.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.a.rolling(1), name)() # Series |
| deprecated_properties = [ |
| name |
| for (name, type_) in missing_properties |
| if type_.fget.__name__ == "deprecated_property" |
| ] |
| for name in deprecated_properties: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "property.*Rolling.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.rolling(1), name)() # Frame |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "property.*Rolling.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.a.rolling(1), name)() # Series |
| |
| def test_missing_groupby(self): |
| psdf = ps.DataFrame({"a": [1, 2, 3, 4, 5, 6, 7, 8, 9]}) |
| |
| # Expanding functions |
| missing_functions = inspect.getmembers( |
| MissingPandasLikeExpandingGroupby, inspect.isfunction |
| ) |
| unsupported_functions = [ |
| name for (name, type_) in missing_functions if type_.__name__ == "unsupported_function" |
| ] |
| for name in unsupported_functions: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "method.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.groupby("a").expanding(1), name)() # Frame |
| |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "method.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.a.groupby(psdf.a).expanding(1), name)() # Series |
| |
| deprecated_functions = [ |
| name for (name, type_) in missing_functions if type_.__name__ == "deprecated_function" |
| ] |
| for name in deprecated_functions: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "method.*Expanding.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.groupby("a").expanding(1), name)() # Frame |
| |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "method.*Expanding.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.a.groupby(psdf.a).expanding(1), name)() # Series |
| |
| # Rolling functions |
| missing_functions = inspect.getmembers(MissingPandasLikeRollingGroupby, inspect.isfunction) |
| unsupported_functions = [ |
| name for (name, type_) in missing_functions if type_.__name__ == "unsupported_function" |
| ] |
| for name in unsupported_functions: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "method.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.groupby("a").rolling(1), name)() # Frame |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "method.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.a.groupby(psdf.a).rolling(1), name)() # Series |
| |
| deprecated_functions = [ |
| name for (name, type_) in missing_functions if type_.__name__ == "deprecated_function" |
| ] |
| for name in deprecated_functions: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "method.*Rolling.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.rolling(1), name)() # Frame |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "method.*Rolling.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.a.rolling(1), name)() # Series |
| |
| # Expanding properties |
| missing_properties = inspect.getmembers( |
| MissingPandasLikeExpandingGroupby, lambda o: isinstance(o, property) |
| ) |
| unsupported_properties = [ |
| name |
| for (name, type_) in missing_properties |
| if type_.fget.__name__ == "unsupported_property" |
| ] |
| for name in unsupported_properties: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "property.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.groupby("a").expanding(1), name)() # Frame |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "property.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.a.groupby(psdf.a).expanding(1), name)() # Series |
| |
| deprecated_properties = [ |
| name |
| for (name, type_) in missing_properties |
| if type_.fget.__name__ == "deprecated_property" |
| ] |
| for name in deprecated_properties: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "property.*Expanding.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.expanding(1), name) # Frame |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "property.*Expanding.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.a.expanding(1), name) # Series |
| |
| # Rolling properties |
| missing_properties = inspect.getmembers( |
| MissingPandasLikeRollingGroupby, lambda o: isinstance(o, property) |
| ) |
| unsupported_properties = [ |
| name |
| for (name, type_) in missing_properties |
| if type_.fget.__name__ == "unsupported_property" |
| ] |
| for name in unsupported_properties: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "property.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.groupby("a").rolling(1), name)() # Frame |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, |
| "property.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), |
| ): |
| getattr(psdf.a.groupby(psdf.a).rolling(1), name)() # Series |
| deprecated_properties = [ |
| name |
| for (name, type_) in missing_properties |
| if type_.fget.__name__ == "deprecated_property" |
| ] |
| for name in deprecated_properties: |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "property.*Rolling.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.rolling(1), name)() # Frame |
| with self.assertRaisesRegex( |
| PandasNotImplementedError, "property.*Rolling.*{}.*is deprecated".format(name) |
| ): |
| getattr(psdf.a.rolling(1), name)() # Series |
| |
| |
| if __name__ == "__main__": |
| import unittest |
| from pyspark.pandas.tests.test_window import * # noqa: F401 |
| |
| try: |
| import xmlrunner # type: ignore[import] |
| |
| testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2) |
| except ImportError: |
| testRunner = None |
| unittest.main(testRunner=testRunner, verbosity=2) |