# # 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 from distutils.version import LooseVersion import pandas as pd from pyspark import pandas as ps from pyspark.testing.pandasutils import PandasOnSparkTestCase from pyspark.testing.sqlutils import SQLTestUtils 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( LooseVersion(pd.__version__) >= LooseVersion("2.0.0"), "TODO(SPARK-43458): Enable SeriesConversionTests.test_to_latex for pandas 2.0.0.", ) 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(col_space=2), pser.to_latex(col_space=2)) 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.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)