Added Series.dt.is_quarter_start and Series.dt.is_quarter_end

python/cudf/cudf/core/series.py

@@ -6050,7 +6050,7 @@ def is_month_end(self):
         -------
         >>> import pandas as pd, cudf
         >>> s = cudf.Series(
-        ...     pd.date_range(start='2000-08-026', end='2000-09-03', freq='1D'))
+        ...     pd.date_range(start='2000-08-26', end='2000-09-03', freq='1D'))
         >>> s
         0   2000-08-26
         1   2000-08-27
@@ -6082,6 +6082,100 @@ def is_month_end(self):
         )
         return (self.day == last_day.dt.day).fillna(False)
 
+    @property
+    def is_quarter_start(self):
+        """
+        Boolean indicator if the date is the first day of a quarter.
+
+        Returns
+        -------
+        Series
+        Booleans indicating if dates are the begining of a quarter
+
+        Example
+        -------
+        >>> import pandas as pd, cudf
+        >>> s = cudf.Series(
+        ...     pd.date_range(start='2000-09-26', end='2000-10-03', freq='1D'))
+        >>> s
+        0   2000-09-26
+        1   2000-09-27
+        2   2000-09-28
+        3   2000-09-29
+        4   2000-09-30
+        5   2000-10-01
+        6   2000-10-02
+        7   2000-10-03
+        dtype: datetime64[ns]
+        >>> s.dt.is_quarter_start
+        0    False
+        1    False
+        2    False
+        3    False
+        4    False
+        5     True
+        6    False
+        7    False
+        dtype: bool
+        """
+        day = self.series._column.get_dt_field("day")
+        first_month = self.series._column.get_dt_field("month").isin(
+            [1, 4, 7, 10]
+        )
+
+        result = ((day == cudf.Scalar(1)) & first_month).fillna(False)
+        return Series._from_data(
+            {None: result}, index=self.series._index, name=self.series.name,
+        )
+
+    @property
+    def is_quarter_end(self):
+        """
+        Boolean indicator if the date is the last day of a quarter.
+
+        Returns
+        -------
+        Series
+        Booleans indicating if dates are the end of a quarter
+
+        Example
+        -------
+        >>> import pandas as pd, cudf
+        >>> s = cudf.Series(
+        ...     pd.date_range(start='2000-09-26', end='2000-10-03', freq='1D'))
+        >>> s
+        0   2000-09-26
+        1   2000-09-27
+        2   2000-09-28
+        3   2000-09-29
+        4   2000-09-30
+        5   2000-10-01
+        6   2000-10-02
+        7   2000-10-03
+        dtype: datetime64[ns]
+        >>> s.dt.is_quarter_end
+        0    False
+        1    False
+        2    False
+        3    False
+        4     True
+        5    False
+        6    False
+        7    False
+        dtype: bool
+        """
+        day = self.series._column.get_dt_field("day")
+        last_day = libcudf.datetime.last_day_of_month(self.series._column)
+        last_day = last_day.get_dt_field("day")
+        last_month = self.series._column.get_dt_field("month").isin(
+            [3, 6, 9, 12]
+        )
+
+        result = ((day == last_day) & last_month).fillna(False)
+        return Series._from_data(
+            {None: result}, index=self.series._index, name=self.series.name,
+        )
+
     @property
     def is_year_start(self):
         """

python/cudf/cudf/tests/test_datetime.py

@@ -1475,3 +1475,69 @@ def test_is_year_end(data, dtype):
     got = gs.dt.is_year_end
 
     assert_eq(expect, got)
+
+
+@pytest.mark.parametrize(
+    "data",
+    [
+        [
+            "2020-05-01",
+            "2020-05-31",
+            "2020-02-29",
+            None,
+            "1999-12-01",
+            "2000-12-21",
+            None,
+            "1900-02-28",
+            "1800-03-14",
+            "2100-03-10",
+            "1970-04-1",
+            "1970-01-01",
+            "1969-12-11",
+            "2020-12-31",
+        ]
+    ],
+)
+@pytest.mark.parametrize("dtype", ["datetime64[ns]"])
+def test_is_quarter_start(data, dtype):
+    # Series
+    ps = pd.Series(data, dtype=dtype)
+    gs = cudf.from_pandas(ps)
+
+    expect = ps.dt.is_quarter_start
+    got = gs.dt.is_quarter_start
+
+    assert_eq(expect, got)
+
+
+@pytest.mark.parametrize(
+    "data",
+    [
+        [
+            "2020-05-01",
+            "2020-05-31",
+            "2020-02-29",
+            None,
+            "1999-12-01",
+            "2000-12-21",
+            None,
+            "1900-02-28",
+            "1800-03-14",
+            "2100-03-10",
+            "1970-04-1",
+            "1970-01-01",
+            "1969-12-11",
+            "2020-12-31",
+        ]
+    ],
+)
+@pytest.mark.parametrize("dtype", ["datetime64[ns]"])
+def test_is_quarter_end(data, dtype):
+    # Series
+    ps = pd.Series(data, dtype=dtype)
+    gs = cudf.from_pandas(ps)
+
+    expect = ps.dt.is_quarter_end
+    got = gs.dt.is_quarter_end
+
+    assert_eq(expect, got)