| # |
| # 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 sys |
| |
| import pandas as pd |
| |
| from pyspark import pandas as ps |
| from pyspark.testing.pandasutils import PandasOnSparkTestCase |
| from pyspark.testing.sqlutils import SQLTestUtils |
| from pyspark.testing.utils import have_jinja2, jinja2_requirement_message |
| |
| |
| class SeriesConversionTestsMixin: |
| @property |
| def pser(self): |
| return pd.Series([1, 2, 3, 4, 5, 6, 7], name="x") |
| |
| @property |
| def psser(self): |
| return ps.from_pandas(self.pser) |
| |
| @unittest.skipIf( |
| sys.platform == "linux" or sys.platform == "linux2", |
| "Pyperclip could not find a copy/paste mechanism for Linux.", |
| ) |
| def test_to_clipboard(self): |
| pser = self.pser |
| psser = self.psser |
| |
| self.assert_eq(psser.to_clipboard(), pser.to_clipboard()) |
| self.assert_eq(psser.to_clipboard(excel=False), pser.to_clipboard(excel=False)) |
| self.assert_eq( |
| psser.to_clipboard(sep=",", index=False), pser.to_clipboard(sep=",", index=False) |
| ) |
| |
| @unittest.skipIf(not have_jinja2, jinja2_requirement_message) |
| def test_to_latex(self): |
| pser = self.pser |
| psser = self.psser |
| |
| self.assert_eq(psser.to_latex(), pser.to_latex()) |
| self.assert_eq(psser.to_latex(header=True), pser.to_latex(header=True)) |
| self.assert_eq(psser.to_latex(index=False), pser.to_latex(index=False)) |
| self.assert_eq(psser.to_latex(na_rep="-"), pser.to_latex(na_rep="-")) |
| self.assert_eq(psser.to_latex(float_format="%.1f"), pser.to_latex(float_format="%.1f")) |
| self.assert_eq(psser.to_latex(sparsify=False), pser.to_latex(sparsify=False)) |
| self.assert_eq(psser.to_latex(index_names=False), pser.to_latex(index_names=False)) |
| self.assert_eq(psser.to_latex(bold_rows=True), pser.to_latex(bold_rows=True)) |
| self.assert_eq(psser.to_latex(decimal=","), pser.to_latex(decimal=",")) |
| |
| |
| class SeriesConversionTests( |
| SeriesConversionTestsMixin, |
| PandasOnSparkTestCase, |
| SQLTestUtils, |
| ): |
| pass |
| |
| |
| if __name__ == "__main__": |
| from pyspark.pandas.tests.io.test_series_conversion 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) |