blob: 8251ba0e9bb2b7ccea2d1b7bd5a9583068b1be13 [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 GroupbySplitApplyTestingFuncMixin:
def _test_split_apply_func(self, funcs):
# TODO(SPARK-45228): Enabling string type columns for `test_split_apply_combine_on_series`
# when Pandas regression is fixed
# There is a regression in Pandas 2.1.0,
# so we should manually cast to float until the regression is fixed.
# See https://github.com/pandas-dev/pandas/issues/55194.
pdf = pd.DataFrame(
{
"a": [1, 2, 6, 4, 4, 6, 4, 3, 7],
"b": [4, 2, 7, 3, 3, 1, 1, 1, 2],
"c": [4, 2, 7, 3, None, 1, 1, 1, 2],
# "d": list("abcdefght"),
},
index=[0, 1, 3, 5, 6, 8, 9, 9, 9],
)
psdf = ps.from_pandas(pdf)
funcs = [
(
check_exact,
almost,
f,
)
for (check_exact, almost), fs in funcs
for f in fs
]
for as_index in [True, False]:
if as_index:
def sort(df):
return df.sort_index()
else:
def sort(df):
return df.sort_values(list(df.columns)).reset_index(drop=True)
for check_exact, almost, func in funcs:
for kkey, pkey in [("b", "b"), (psdf.b, pdf.b)]:
with self.subTest(as_index=as_index, func=func, key=pkey):
if as_index is True or func != "std":
self.assert_eq(
sort(getattr(psdf.groupby(kkey, as_index=as_index).a, func)()),
sort(getattr(pdf.groupby(pkey, as_index=as_index).a, func)()),
check_exact=check_exact,
almost=almost,
)
self.assert_eq(
sort(getattr(psdf.groupby(kkey, as_index=as_index), func)()),
sort(getattr(pdf.groupby(pkey, as_index=as_index), func)()),
check_exact=check_exact,
almost=almost,
)
else:
# seems like a pandas' bug for as_index=False and func == "std"?
self.assert_eq(
sort(getattr(psdf.groupby(kkey, as_index=as_index).a, func)()),
sort(pdf.groupby(pkey, as_index=True).a.std().reset_index()),
check_exact=check_exact,
almost=almost,
)
self.assert_eq(
sort(getattr(psdf.groupby(kkey, as_index=as_index), func)()),
sort(pdf.groupby(pkey, as_index=True).std().reset_index()),
check_exact=check_exact,
almost=almost,
)
for kkey, pkey in [(psdf.b + 1, pdf.b + 1), (psdf.copy().b, pdf.copy().b)]:
with self.subTest(as_index=as_index, func=func, key=pkey):
self.assert_eq(
sort(getattr(psdf.groupby(kkey, as_index=as_index).a, func)()),
sort(getattr(pdf.groupby(pkey, as_index=as_index).a, func)()),
check_exact=check_exact,
almost=almost,
)
self.assert_eq(
sort(getattr(psdf.groupby(kkey, as_index=as_index), func)()),
sort(getattr(pdf.groupby(pkey, as_index=as_index), func)()),
check_exact=check_exact,
almost=almost,
)
for check_exact, almost, func in funcs:
for i in [0, 4, 7]:
with self.subTest(as_index=as_index, func=func, i=i):
self.assert_eq(
sort(getattr(psdf.groupby(psdf.b > i, as_index=as_index).a, func)()),
sort(getattr(pdf.groupby(pdf.b > i, as_index=as_index).a, func)()),
check_exact=check_exact,
almost=almost,
)
self.assert_eq(
sort(getattr(psdf.groupby(psdf.b > i, as_index=as_index), func)()),
sort(getattr(pdf.groupby(pdf.b > i, as_index=as_index), func)()),
check_exact=check_exact,
almost=almost,
)
for check_exact, almost, func in funcs:
for kkey, pkey in [
(psdf.b, pdf.b),
(psdf.b + 1, pdf.b + 1),
(psdf.copy().b, pdf.copy().b),
(psdf.b.rename(), pdf.b.rename()),
]:
with self.subTest(func=func, key=pkey):
self.assert_eq(
getattr(psdf.a.groupby(kkey), func)().sort_index(),
getattr(pdf.a.groupby(pkey), func)().sort_index(),
check_exact=check_exact,
almost=almost,
)
self.assert_eq(
getattr((psdf.a + 1).groupby(kkey), func)().sort_index(),
getattr((pdf.a + 1).groupby(pkey), func)().sort_index(),
check_exact=check_exact,
almost=almost,
)
self.assert_eq(
getattr((psdf.b + 1).groupby(kkey), func)().sort_index(),
getattr((pdf.b + 1).groupby(pkey), func)().sort_index(),
check_exact=check_exact,
almost=almost,
)
self.assert_eq(
getattr(psdf.a.rename().groupby(kkey), func)().sort_index(),
getattr(pdf.a.rename().groupby(pkey), func)().sort_index(),
check_exact=check_exact,
almost=almost,
)
class GroupbySplitApplyMixin(GroupbySplitApplyTestingFuncMixin):
def test_split_apply_combine_on_series(self):
funcs = [
((True, False), ["sum"]),
((True, True), ["mean"]),
]
self._test_split_apply_func(funcs)
class GroupbySplitApplyTests(
GroupbySplitApplyMixin,
PandasOnSparkTestCase,
SQLTestUtils,
):
pass
if __name__ == "__main__":
from pyspark.pandas.tests.groupby.test_split_apply 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)