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

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#    http://www.apache.org/licenses/LICENSE-2.0
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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__":
    import unittest
    from pyspark.pandas.tests.window.test_rolling_count 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)