blob: bc6942b732262e789ec51691bd5babfb6b449ba0 [file] [log] [blame]
#
# 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 pandas as pd
from pyspark import pandas as ps
from pyspark.pandas.config import set_option, reset_option
from pyspark.testing.pandasutils import PandasOnSparkTestCase
from pyspark.testing.sqlutils import SQLTestUtils
from pyspark.pandas.tests.diff_frames_ops.test_concat_inner import ConcatTestingFuncMixin
class ConcatOuterMixin(ConcatTestingFuncMixin):
@classmethod
def setUpClass(cls):
super().setUpClass()
set_option("compute.ops_on_diff_frames", True)
@classmethod
def tearDownClass(cls):
reset_option("compute.ops_on_diff_frames")
super().tearDownClass()
def test_concat_column_axis_outer(self):
join = "outer"
objs = self._test_frames()
for i, (psdfs, pdfs) in enumerate(objs):
for ignore_index in [True, False]:
with self.subTest(ignore_index=ignore_index, join=join, pdfs=pdfs, pair=i):
actual = ps.concat(psdfs, axis=1, ignore_index=ignore_index, join=join)
expected = pd.concat(pdfs, axis=1, ignore_index=ignore_index, join=join)
self.assert_eq(
repr(actual.sort_values(list(actual.columns)).reset_index(drop=True)),
repr(expected.sort_values(list(expected.columns)).reset_index(drop=True)),
)
actual = ps.concat(
psdfs, axis=1, ignore_index=ignore_index, join=join, sort=True
)
expected = pd.concat(
pdfs, axis=1, ignore_index=ignore_index, join=join, sort=True
)
self.assert_eq(
repr(actual.reset_index(drop=True)),
repr(expected.reset_index(drop=True)),
)
class ConcatOuterTests(
ConcatOuterMixin,
PandasOnSparkTestCase,
SQLTestUtils,
):
pass
if __name__ == "__main__":
import unittest
from pyspark.pandas.tests.diff_frames_ops.test_concat_outer 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)