feat: provide day_of_year and day_of_week for dt accessor

bigframes/operations/datetimes.py

@@ -49,10 +49,18 @@ def day(self) -> series.Series:
     def dayofweek(self) -> series.Series:
         return self._apply_unary_op(ops.dayofweek_op)
 
+    @property
+    def day_of_week(self) -> series.Series:
+        return self.dayofweek
+
     @property
     def dayofyear(self) -> series.Series:
         return self._apply_unary_op(ops.dayofyear_op)
 
+    @property
+    def day_of_year(self) -> series.Series:
+        return self.dayofyear
+
     @property
     def date(self) -> series.Series:
         return self._apply_unary_op(ops.date_op)

tests/system/small/operations/test_datetimes.py

@@ -86,12 +86,28 @@ def test_dt_dayofweek(scalars_dfs, col_name):
     pytest.importorskip("pandas", minversion="2.0.0")
     scalars_df, scalars_pandas_df = scalars_dfs
     bf_series: bigframes.series.Series = scalars_df[col_name]
+
     bf_result = bf_series.dt.dayofweek.to_pandas()
     pd_result = scalars_pandas_df[col_name].dt.dayofweek
 
     assert_series_equal(pd_result, bf_result, check_dtype=False)
 
 
+@pytest.mark.parametrize(
+    ("col_name",),
+    DATE_COLUMNS,
+)
+def test_dt_day_of_week(scalars_dfs, col_name):
+    pytest.importorskip("pandas", minversion="2.0.0")
+    scalars_df, scalars_pandas_df = scalars_dfs
+    bf_series: bigframes.series.Series = scalars_df[col_name]
+
+    bf_result = bf_series.dt.day_of_week.to_pandas()
+    pd_result = scalars_pandas_df[col_name].dt.day_of_week
+
+    assert_series_equal(pd_result, bf_result, check_dtype=False)
+
+
 @pytest.mark.parametrize(
     ("col_name",),
     DATE_COLUMNS,
@@ -100,12 +116,28 @@ def test_dt_dayofyear(scalars_dfs, col_name):
     pytest.importorskip("pandas", minversion="2.0.0")
     scalars_df, scalars_pandas_df = scalars_dfs
     bf_series: bigframes.series.Series = scalars_df[col_name]
+
     bf_result = bf_series.dt.dayofyear.to_pandas()
     pd_result = scalars_pandas_df[col_name].dt.dayofyear
 
     assert_series_equal(pd_result, bf_result, check_dtype=False)
 
 
+@pytest.mark.parametrize(
+    ("col_name",),
+    DATE_COLUMNS,
+)
+def test_dt_day_of_year(scalars_dfs, col_name):
+    pytest.importorskip("pandas", minversion="2.0.0")
+    scalars_df, scalars_pandas_df = scalars_dfs
+    bf_series: bigframes.series.Series = scalars_df[col_name]
+
+    bf_result = bf_series.dt.day_of_year.to_pandas()
+    pd_result = scalars_pandas_df[col_name].dt.day_of_year
+
+    assert_series_equal(pd_result, bf_result, check_dtype=False)
+
+
 @pytest.mark.parametrize(
     ("col_name",),
     DATETIME_COL_NAMES,

third_party/bigframes_vendored/pandas/core/indexes/accessor.py

@@ -66,6 +66,40 @@ def dayofweek(self):
 
         raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)
 
+    @property
+    def day_of_week(self):
+        """The day of the week with Monday=0, Sunday=6.
+
+        Return the day of the week. It is assumed the week starts on
+        Monday, which is denoted by 0 and ends on Sunday, which is denoted
+        by 6.
+
+        **Examples:**
+
+            >>> import pandas as pd
+            >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
+            >>> s = bpd.Series(
+            ...     pd.date_range('2016-12-31', '2017-01-08', freq='D').to_series()
+            ... )
+            >>> s.dt.day_of_week
+            2016-12-31 00:00:00    5
+            2017-01-01 00:00:00    6
+            2017-01-02 00:00:00    0
+            2017-01-03 00:00:00    1
+            2017-01-04 00:00:00    2
+            2017-01-05 00:00:00    3
+            2017-01-06 00:00:00    4
+            2017-01-07 00:00:00    5
+            2017-01-08 00:00:00    6
+            dtype: Int64
+
+        Returns:
+            Series: Containing integers indicating the day number.
+        """
+
+        raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)
+
     @property
     def dayofyear(self):
         """The ordinal day of the year.
@@ -94,6 +128,34 @@ def dayofyear(self):
 
         raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)
 
+    @property
+    def day_of_year(self):
+        """The ordinal day of the year.
+
+        **Examples:**
+
+            >>> import pandas as pd
+            >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
+            >>> s = bpd.Series(
+            ...     pd.date_range('2016-12-28', '2017-01-03', freq='D').to_series()
+            ... )
+            >>> s.dt.day_of_year
+            2016-12-28 00:00:00    363
+            2016-12-29 00:00:00    364
+            2016-12-30 00:00:00    365
+            2016-12-31 00:00:00    366
+            2017-01-01 00:00:00      1
+            2017-01-02 00:00:00      2
+            2017-01-03 00:00:00      3
+            dtype: Int64
+
+        Returns:
+            Series: Containing integers indicating the day number.
+        """
+
+        raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)
+
     @property
     def date(self):
         """Returns a Series with the date part of Timestamps without time and