blob: 63e974bd69fccee8c18ed6ab9a18d22d04da0df4 [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 numpy as np
import pandas as pd
from pyspark import pandas as ps
from pyspark.testing.pandasutils import PandasOnSparkTestCase
class DdofTestsMixin:
def test_ddof(self):
pdf = pd.DataFrame(
{
"a": [1, 1, 1, 1, 2, 2, 2, 3, 3, 3] * 3,
"b": [2, 3, 1, 4, 6, 9, 8, 10, 7, 5] * 3,
"c": [3, 5, 2, 5, 1, 2, 6, 4, 3, 6] * 3,
},
index=np.random.rand(10 * 3),
)
psdf = ps.from_pandas(pdf)
for ddof in [-1, 0, 1, 2, 3]:
# std
self.assert_eq(
pdf.groupby("a").std(ddof=ddof).sort_index(),
psdf.groupby("a").std(ddof=ddof).sort_index(),
check_exact=False,
)
self.assert_eq(
pdf.groupby("a")["b"].std(ddof=ddof).sort_index(),
psdf.groupby("a")["b"].std(ddof=ddof).sort_index(),
check_exact=False,
)
# var
self.assert_eq(
pdf.groupby("a").var(ddof=ddof).sort_index(),
psdf.groupby("a").var(ddof=ddof).sort_index(),
check_exact=False,
)
self.assert_eq(
pdf.groupby("a")["b"].var(ddof=ddof).sort_index(),
psdf.groupby("a")["b"].var(ddof=ddof).sort_index(),
check_exact=False,
)
# sem
self.assert_eq(
pdf.groupby("a").sem(ddof=ddof).sort_index(),
psdf.groupby("a").sem(ddof=ddof).sort_index(),
check_exact=False,
)
self.assert_eq(
pdf.groupby("a")["b"].sem(ddof=ddof).sort_index(),
psdf.groupby("a")["b"].sem(ddof=ddof).sort_index(),
check_exact=False,
)
class DdofTests(
DdofTestsMixin,
PandasOnSparkTestCase,
):
pass
if __name__ == "__main__":
from pyspark.pandas.tests.groupby.test_stat_ddof 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)