pyspark.pandas.DatetimeIndex.isocalendar#

DatetimeIndex.isocalendar()[source]#

Calculate year, week, and day according to the ISO 8601 standard.

Added in version 4.0.0.

Returns:

DataFrame: With columns year, week and day.

Note

Returns have int64 type instead of UInt32 as is in pandas due to UInt32 is not supported by spark

Examples

>>> psidxs = ps.from_pandas(
...     pd.DatetimeIndex(["2019-12-29", "2019-12-30", "2019-12-31", "2020-01-01"])
... )
>>> psidxs.isocalendar()
            year  week  day
2019-12-29  2019    52    7
2019-12-30  2020     1    1
2019-12-31  2020     1    2
2020-01-01  2020     1    3

>>> psidxs.isocalendar().week
2019-12-29    52
2019-12-30     1
2019-12-31     1
2020-01-01     1
Name: week, dtype: int64