| # |
| # 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.testing.pandasutils import PandasOnSparkTestCase |
| from pyspark.pandas.tests.indexes.test_datetime import DatetimeIndexTestingFuncMixin |
| |
| |
| class DatetimeIndexPropertyTestsMixin(DatetimeIndexTestingFuncMixin): |
| def test_properties(self): |
| for psidx, pidx in self.idx_pairs: |
| self.assert_eq(psidx.year, pidx.year) |
| self.assert_eq(psidx.month, pidx.month) |
| self.assert_eq(psidx.day, pidx.day) |
| self.assert_eq(psidx.hour, pidx.hour) |
| self.assert_eq(psidx.minute, pidx.minute) |
| self.assert_eq(psidx.second, pidx.second) |
| self.assert_eq(psidx.microsecond, pidx.microsecond) |
| self.assert_eq(psidx.dayofweek, pidx.dayofweek) |
| self.assert_eq(psidx.weekday, pidx.weekday) |
| self.assert_eq(psidx.dayofyear, pidx.dayofyear) |
| self.assert_eq(psidx.quarter, pidx.quarter) |
| self.assert_eq(psidx.daysinmonth, pidx.daysinmonth) |
| self.assert_eq(psidx.days_in_month, pidx.days_in_month) |
| self.assert_eq(psidx.is_month_start, pd.Index(pidx.is_month_start)) |
| self.assert_eq(psidx.is_month_end, pd.Index(pidx.is_month_end)) |
| self.assert_eq(psidx.is_quarter_start, pd.Index(pidx.is_quarter_start)) |
| self.assert_eq(psidx.is_quarter_end, pd.Index(pidx.is_quarter_end)) |
| self.assert_eq(psidx.is_year_start, pd.Index(pidx.is_year_start)) |
| self.assert_eq(psidx.is_year_end, pd.Index(pidx.is_year_end)) |
| self.assert_eq(psidx.is_leap_year, pd.Index(pidx.is_leap_year)) |
| self.assert_eq(psidx.day_of_year, pidx.day_of_year) |
| self.assert_eq(psidx.day_of_week, pidx.day_of_week) |
| self.assert_eq(psidx.isocalendar().week, pidx.isocalendar().week.astype(np.int64)) |
| |
| |
| class DatetimeIndexPropertyTests( |
| DatetimeIndexPropertyTestsMixin, |
| PandasOnSparkTestCase, |
| ): |
| pass |
| |
| |
| if __name__ == "__main__": |
| import unittest |
| from pyspark.pandas.tests.indexes.test_datetime_property 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) |