spark-instrumented-optimizer/python/pyspark/pandas/tests/test_series_conversion.py

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#
# 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
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 SeriesConversionTest(PandasOnSparkTestCase, SQLTestUtils):
@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.skip("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)
)
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))
# Can't specifying `encoding` without specifying `buf` as filename in pandas >= 1.0.0
# https://github.com/pandas-dev/pandas/blob/master/pandas/io/formats/format.py#L492-L495
if LooseVersion(pd.__version__) < LooseVersion("1.0.0"):
self.assert_eq(psser.to_latex(encoding="ascii"), pser.to_latex(encoding="ascii"))
self.assert_eq(psser.to_latex(decimal=","), pser.to_latex(decimal=","))
if __name__ == "__main__":
from pyspark.pandas.tests.test_series_conversion import * # noqa: F401
try:
import xmlrunner # type: ignore[import]
testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2)
except ImportError:
testRunner = None
unittest.main(testRunner=testRunner, verbosity=2)