blob: 71899307683d58db6a71049397301f1d2e6b300d [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 unittest
import pandas as pd
from pyspark import pandas as ps
from pyspark.testing.pandasutils import PandasOnSparkTestCase
from pyspark.testing.sqlutils import SQLTestUtils
class FrameTakeAdvMixin:
def test_take_adv(self):
pdf = pd.DataFrame(
{"A": range(0, 50000), "B": range(100000, 0, -2), "C": range(100000, 50000, -1)}
)
psdf = ps.from_pandas(pdf)
# MultiIndex columns
columns = pd.MultiIndex.from_tuples([("A", "Z"), ("B", "X"), ("C", "C")])
psdf.columns = columns
pdf.columns = columns
# MultiIndex columns with axis=0 (default)
self.assert_eq(psdf.take([1, 2]).sort_index(), pdf.take([1, 2]).sort_index())
self.assert_eq(psdf.take([-1, -2]).sort_index(), pdf.take([-1, -2]).sort_index())
self.assert_eq(
psdf.take(range(100, 110)).sort_index(), pdf.take(range(100, 110)).sort_index()
)
self.assert_eq(
psdf.take(range(-110, -100)).sort_index(), pdf.take(range(-110, -100)).sort_index()
)
self.assert_eq(
psdf.take([10, 100, 1000, 10000]).sort_index(),
pdf.take([10, 100, 1000, 10000]).sort_index(),
)
self.assert_eq(
psdf.take([-10, -100, -1000, -10000]).sort_index(),
pdf.take([-10, -100, -1000, -10000]).sort_index(),
)
# axis=1
self.assert_eq(
psdf.take([1, 2], axis=1).sort_index(), pdf.take([1, 2], axis=1).sort_index()
)
self.assert_eq(
psdf.take([-1, -2], axis=1).sort_index(), pdf.take([-1, -2], axis=1).sort_index()
)
self.assert_eq(
psdf.take(range(1, 3), axis=1).sort_index(),
pdf.take(range(1, 3), axis=1).sort_index(),
)
self.assert_eq(
psdf.take(range(-1, -3), axis=1).sort_index(),
pdf.take(range(-1, -3), axis=1).sort_index(),
)
self.assert_eq(
psdf.take([2, 1], axis=1).sort_index(),
pdf.take([2, 1], axis=1).sort_index(),
)
self.assert_eq(
psdf.take([-1, -2], axis=1).sort_index(),
pdf.take([-1, -2], axis=1).sort_index(),
)
# Checking the type of indices.
self.assertRaises(TypeError, lambda: psdf.take(1))
self.assertRaises(TypeError, lambda: psdf.take("1"))
self.assertRaises(TypeError, lambda: psdf.take({1, 2}))
self.assertRaises(TypeError, lambda: psdf.take({1: None, 2: None}))
class FrameTakeAdvTests(
FrameTakeAdvMixin,
PandasOnSparkTestCase,
SQLTestUtils,
):
pass
if __name__ == "__main__":
from pyspark.pandas.tests.frame.test_take_adv 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)