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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
import numpy as np
import pandas as pd
import pyspark.pandas as ps
from pyspark.testing.pandasutils import PandasOnSparkTestCase, TestUtils
class IndexesDiffMixin:
def test_difference(self):
# Index
pidx1 = pd.Index([1, 2, 3, 4], name="koalas")
pidx2 = pd.Index([3, 4, 5, 6], name="koalas")
psidx1 = ps.from_pandas(pidx1)
psidx2 = ps.from_pandas(pidx2)
# Series
pser = pd.Series([3, 4, 5, 6], name="koalas")
psser = ps.from_pandas(pser)
self.assert_eq(
psidx1.difference(psidx2).sort_values(), pidx1.difference(pidx2).sort_values()
)
self.assert_eq(psidx1.difference(psser).sort_values(), pidx1.difference(pser).sort_values())
self.assert_eq(
psidx1.difference([3, 4, 5, 6]).sort_values(),
pidx1.difference([3, 4, 5, 6]).sort_values(),
)
self.assert_eq(
psidx1.difference((3, 4, 5, 6)).sort_values(),
pidx1.difference((3, 4, 5, 6)).sort_values(),
)
self.assert_eq(
psidx1.difference({3, 4, 5, 6}).sort_values(),
pidx1.difference({3, 4, 5, 6}).sort_values(),
)
self.assert_eq(
psidx1.difference({3: 1, 4: 2, 5: 3, 6: 4}).sort_values(),
pidx1.difference({3: 1, 4: 2, 5: 3, 6: 4}).sort_values(),
)
# Exceptions for Index
with self.assertRaisesRegex(TypeError, "Input must be Index or array-like"):
psidx1.difference("1234")
with self.assertRaisesRegex(TypeError, "Input must be Index or array-like"):
psidx1.difference(1234)
with self.assertRaisesRegex(TypeError, "Input must be Index or array-like"):
psidx1.difference(12.34)
with self.assertRaisesRegex(TypeError, "Input must be Index or array-like"):
psidx1.difference(None)
with self.assertRaisesRegex(TypeError, "Input must be Index or array-like"):
psidx1.difference(np.nan)
with self.assertRaisesRegex(
ValueError, "The 'sort' keyword only takes the values of None or True; 1 was passed."
):
psidx1.difference(psidx2, sort=1)
# MultiIndex
pmidx1 = pd.MultiIndex.from_tuples(
[("a", "x", 1), ("b", "y", 2), ("c", "z", 3)], names=["hello", "koalas", "world"]
)
pmidx2 = pd.MultiIndex.from_tuples(
[("a", "x", 1), ("b", "z", 2), ("k", "z", 3)], names=["hello", "koalas", "world"]
)
psmidx1 = ps.from_pandas(pmidx1)
psmidx2 = ps.from_pandas(pmidx2)
self.assert_eq(
psmidx1.difference(psmidx2).sort_values(), pmidx1.difference(pmidx2).sort_values()
)
self.assert_eq(
psmidx1.difference(psidx1).sort_values(), pmidx1.difference(pidx1).sort_values()
)
self.assert_eq(
psidx1.difference(psmidx1).sort_values(), pidx1.difference(pmidx1).sort_values()
)
self.assert_eq(psidx1.difference(psser).sort_values(), pidx1.difference(pser).sort_values())
self.assert_eq(
psmidx1.difference({("a", "x", 1)}).sort_values(),
pmidx1.difference({("a", "x", 1)}).sort_values(),
)
self.assert_eq(
psmidx1.difference({("a", "x", 1): [1, 2, 3]}).sort_values(),
pmidx1.difference({("a", "x", 1): [1, 2, 3]}).sort_values(),
)
# Exceptions for MultiIndex
with self.assertRaisesRegex(TypeError, "other must be a MultiIndex or a list of tuples"):
psmidx1.difference(["b", "z", "2"])
class IndexesDiffTests(
IndexesDiffMixin,
PandasOnSparkTestCase,
TestUtils,
):
pass
if __name__ == "__main__":
from pyspark.pandas.tests.indexes.test_diff 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)