a392633566
### What changes were proposed in this pull request? Now that we merged the Koalas main code into the PySpark code base (#32036), we should port the Koalas Series related unit tests to PySpark. ### Why are the changes needed? Currently, the pandas-on-Spark modules are not fully tested. We should enable the Series related unit tests first. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Enable Series-related unit tests. Closes #32117 from xinrong-databricks/port.test_series_related. Lead-authored-by: Xinrong Meng <xinrong.meng@databricks.com> Co-authored-by: xinrong-databricks <47337188+xinrong-databricks@users.noreply.github.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
76 lines
3.2 KiB
Python
76 lines
3.2 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import unittest
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from distutils.version import LooseVersion
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import pandas as pd
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from pyspark import pandas as ps
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from pyspark.pandas.testing.utils import ReusedSQLTestCase, SQLTestUtils
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class SeriesConversionTest(ReusedSQLTestCase, SQLTestUtils):
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@property
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def pser(self):
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return pd.Series([1, 2, 3, 4, 5, 6, 7], name="x")
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@property
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def kser(self):
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return ps.from_pandas(self.pser)
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@unittest.skip("Pyperclip could not find a copy/paste mechanism for Linux.")
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def test_to_clipboard(self):
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pser = self.pser
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kser = self.kser
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self.assert_eq(kser.to_clipboard(), pser.to_clipboard())
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self.assert_eq(kser.to_clipboard(excel=False), pser.to_clipboard(excel=False))
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self.assert_eq(
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kser.to_clipboard(sep=",", index=False), pser.to_clipboard(sep=",", index=False)
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)
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def test_to_latex(self):
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pser = self.pser
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kser = self.kser
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self.assert_eq(kser.to_latex(), pser.to_latex())
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self.assert_eq(kser.to_latex(col_space=2), pser.to_latex(col_space=2))
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self.assert_eq(kser.to_latex(header=True), pser.to_latex(header=True))
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self.assert_eq(kser.to_latex(index=False), pser.to_latex(index=False))
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self.assert_eq(kser.to_latex(na_rep="-"), pser.to_latex(na_rep="-"))
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self.assert_eq(kser.to_latex(float_format="%.1f"), pser.to_latex(float_format="%.1f"))
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self.assert_eq(kser.to_latex(sparsify=False), pser.to_latex(sparsify=False))
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self.assert_eq(kser.to_latex(index_names=False), pser.to_latex(index_names=False))
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self.assert_eq(kser.to_latex(bold_rows=True), pser.to_latex(bold_rows=True))
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# Can't specifying `encoding` without specifying `buf` as filename in pandas >= 1.0.0
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# https://github.com/pandas-dev/pandas/blob/master/pandas/io/formats/format.py#L492-L495
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if LooseVersion(pd.__version__) < LooseVersion("1.0.0"):
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self.assert_eq(kser.to_latex(encoding="ascii"), pser.to_latex(encoding="ascii"))
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self.assert_eq(kser.to_latex(decimal=","), pser.to_latex(decimal=","))
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if __name__ == "__main__":
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from pyspark.pandas.tests.test_series_conversion import * # noqa: F401
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try:
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import xmlrunner # type: ignore[import]
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testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2)
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except ImportError:
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testRunner = None
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unittest.main(testRunner=testRunner, verbosity=2)
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