python/pyspark/pandas/tests/window/test_rolling_count.py - master - githubmirror/spark

python/pyspark/pandas/tests/window/test_rolling_count.py

65 строк2 KB

Tian Gao

[SPARK-54906][PYTHON][TESTS] Unify test entry for all pyspark tests

07 янв 2026, 04:21

07 янв 2026, 04:21c27ede3

#
# 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 numpy as np
import pandas as pd

import pyspark.pandas as ps
from pyspark.testing.pandasutils import PandasOnSparkTestCase


class RollingCountMixin:
    def test_rolling_count(self):
        pser = pd.Series([1, 2, 3, 7, 9, 8], index=np.random.rand(6), name="a")
        psser = ps.from_pandas(pser)
        self.assert_eq(psser.rolling(2).count(), pser.rolling(2, min_periods=1).count())
        self.assert_eq(psser.rolling(2).count().sum(), pser.rolling(2, min_periods=1).count().sum())

        # TODO(SPARK-43432): Fix `min_periods` for Rolling.count() to work same as pandas
        # Multiindex
        pser = pd.Series(
            [1, 2, 3],
            index=pd.MultiIndex.from_tuples([("a", "x"), ("a", "y"), ("b", "z")]),
            name="a",
        )
        psser = ps.from_pandas(pser)
        self.assert_eq(psser.rolling(2).count(), pser.rolling(2, min_periods=1).count())

        pdf = pd.DataFrame(
            {"a": [1.0, 2.0, 3.0, 2.0], "b": [4.0, 2.0, 3.0, 1.0]}, index=np.random.rand(4)
        )
        psdf = ps.from_pandas(pdf)
        self.assert_eq(psdf.rolling(2).count(), pdf.rolling(2, min_periods=1).count())
        self.assert_eq(psdf.rolling(2).count().sum(), pdf.rolling(2, min_periods=1).count().sum())

        # Multiindex column
        columns = pd.MultiIndex.from_tuples([("a", "x"), ("a", "y")])
        pdf.columns = columns
        psdf.columns = columns
        self.assert_eq(psdf.rolling(2).count(), pdf.rolling(2, min_periods=1).count())


class RollingCountTests(
    RollingCountMixin,
    PandasOnSparkTestCase,
):
    pass


if __name__ == "__main__":
    from pyspark.testing import main

    main()