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feat: add 'weekday' property to DatatimeMethod (#2304)

Fixes b/464971054 🦕

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Lines changed: 4 additions & 0 deletions

Original file line number	Diff line number	Diff line change
`@@ -54,6 +54,10 @@ def dayofweek(self) -> series.Series:`
`54`	`54`	`defday_of_week(self)->series.Series:`
`55`	`55`	`returnself.dayofweek`
`56`	`56`
	`57`	`+@property`
	`58`	`+defweekday(self)->series.Series:`
	`59`	`+returnself.dayofweek`
	`60`	`+`
`57`	`61`	`@property`
`58`	`62`	`defdayofyear(self)->series.Series:`
`59`	`63`	`returnself._data._apply_unary_op(ops.dayofyear_op)`

Lines changed: 15 additions & 0 deletions

Original file line number	Diff line number	Diff line change
`@@ -108,6 +108,21 @@ def test_dt_day_of_week(scalars_dfs, col_name):`
`108`	`108`	`assert_series_equal(pd_result,bf_result,check_dtype=False)`
`109`	`109`
`110`	`110`
	`111`	`+@pytest.mark.parametrize(`
	`112`	`+ ("col_name",),`
	`113`	`+DATE_COLUMNS,`
	`114`	`+)`
	`115`	`+deftest_dt_weekday(scalars_dfs,col_name):`
	`116`	`+pytest.importorskip("pandas",minversion="2.0.0")`
	`117`	`+scalars_df,scalars_pandas_df=scalars_dfs`
	`118`	`+bf_series:bigframes.series.Series=scalars_df[col_name]`
	`119`	`+`
	`120`	`+bf_result=bf_series.dt.weekday.to_pandas()`
	`121`	`+pd_result=scalars_pandas_df[col_name].dt.weekday`
	`122`	`+`
	`123`	`+assert_series_equal(pd_result,bf_result,check_dtype=False)`
	`124`	`+`
	`125`	`+`
`111`	`126`	`@pytest.mark.parametrize(`
`112`	`127`	`("col_name",),`
`113`	`128`	`DATE_COLUMNS,`

Lines changed: 31 additions & 0 deletions

Original file line number	Diff line number	Diff line change
`@@ -91,6 +91,37 @@ def day_of_week(self):`
`91`	`91`
`92`	`92`	`raiseNotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)`
`93`	`93`
	`94`	`+@property`
	`95`	`+defweekday(self):`
	`96`	`+"""The day of the week with Monday=0, Sunday=6.`
	`97`	`+`
	`98`	`+ Return the day of the week. It is assumed the week starts on`
	`99`	`+ Monday, which is denoted by 0 and ends on Sunday, which is denoted`
	`100`	`+ by 6.`
	`101`	`+`
	`102`	`+ Examples:`
	`103`	`+`
	`104`	`+ >>> s = bpd.Series(`
	`105`	`+ ... pd.date_range('2016-12-31', '2017-01-08', freq='D').to_series()`
	`106`	`+ ... )`
	`107`	`+ >>> s.dt.weekday`
	`108`	`+ 2016-12-31 00:00:00 5`
	`109`	`+ 2017-01-01 00:00:00 6`
	`110`	`+ 2017-01-02 00:00:00 0`
	`111`	`+ 2017-01-03 00:00:00 1`
	`112`	`+ 2017-01-04 00:00:00 2`
	`113`	`+ 2017-01-05 00:00:00 3`
	`114`	`+ 2017-01-06 00:00:00 4`
	`115`	`+ 2017-01-07 00:00:00 5`
	`116`	`+ 2017-01-08 00:00:00 6`
	`117`	`+ dtype: Int64`
	`118`	`+`
	`119`	`+ Returns:`
	`120`	`+ Series: Containing integers indicating the day number.`
	`121`	`+ """`
	`122`	`+`
	`123`	`+raiseNotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)`
	`124`	`+`
`94`	`125`	`@property`
`95`	`126`	`defday_name(self):`
`96`	`127`	`"""`

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