| # |
| # 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 datetime |
| |
| import numpy as np |
| import pandas as pd |
| |
| from pyspark import pandas as ps |
| from pyspark.testing.pandasutils import PandasOnSparkTestCase, TestUtils |
| |
| |
| class ResampleErrorMixin: |
| def test_resample_error(self): |
| psdf = ps.range(10) |
| |
| with self.assertRaisesRegex( |
| NotImplementedError, "resample currently works only for DatetimeIndex" |
| ): |
| psdf.resample("3Y").sum() |
| |
| with self.assertRaisesRegex( |
| NotImplementedError, "resample currently works only for DatetimeIndex" |
| ): |
| psdf.id.resample("3Y").sum() |
| |
| dates = [ |
| datetime.datetime(2012, 1, 2), |
| datetime.datetime(2012, 5, 3), |
| datetime.datetime(2022, 5, 3), |
| pd.NaT, |
| ] |
| pdf = pd.DataFrame(np.ones(len(dates)), index=pd.DatetimeIndex(dates), columns=["A"]) |
| psdf = ps.from_pandas(pdf) |
| |
| with self.assertRaisesRegex(ValueError, "rule code W-SUN is not supported"): |
| psdf.A.resample("3W").sum() |
| |
| with self.assertRaisesRegex(ValueError, "rule offset must be positive"): |
| psdf.A.resample("0D").sum() |
| |
| with self.assertRaisesRegex(ValueError, "rule code YE-DEC is not supported"): |
| psdf.A.resample("0Y").sum() |
| |
| with self.assertRaisesRegex(ValueError, "invalid closed: 'middle'"): |
| psdf.A.resample("3D", closed="middle").sum() |
| |
| with self.assertRaisesRegex(ValueError, "rule code YE-DEC is not supported"): |
| psdf.A.resample("3Y", closed="middle").sum() |
| |
| with self.assertRaisesRegex(ValueError, "invalid label: 'both'"): |
| psdf.A.resample("3D", label="both").sum() |
| |
| with self.assertRaisesRegex(ValueError, "rule code YE-DEC is not supported"): |
| psdf.A.resample("3Y", label="both").sum() |
| |
| with self.assertRaisesRegex( |
| NotImplementedError, "`on` currently works only for TimestampType" |
| ): |
| psdf.A.resample("2D", on=psdf.A).sum() |
| |
| with self.assertRaisesRegex( |
| NotImplementedError, "`on` currently works only for TimestampType" |
| ): |
| psdf[["A"]].resample("2D", on=psdf.A).sum() |
| |
| psdf["B"] = ["a", "b", "c", "d"] |
| with self.assertRaisesRegex(ValueError, "No available aggregation columns!"): |
| psdf.B.resample("2D").sum() |
| |
| with self.assertRaisesRegex(ValueError, "No available aggregation columns!"): |
| psdf[[]].resample("2D").sum() |
| |
| |
| class ResampleErrorTests(ResampleErrorMixin, PandasOnSparkTestCase, TestUtils): |
| pass |
| |
| |
| if __name__ == "__main__": |
| from pyspark.pandas.tests.resample.test_error 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) |