Path: blob/main/py-polars/docs/source/reference/series/temporal.rst
6939 views
======== Temporal ======== The following methods are available under the `Series.dt` attribute. .. currentmodule:: polars .. autosummary:: :toctree: api/ :template: autosummary/accessor_method.rst Series.dt.add_business_days Series.dt.base_utc_offset Series.dt.cast_time_unit Series.dt.century Series.dt.combine Series.dt.convert_time_zone Series.dt.date Series.dt.datetime Series.dt.day Series.dt.dst_offset Series.dt.epoch Series.dt.hour Series.dt.is_business_day Series.dt.is_leap_year Series.dt.iso_year Series.dt.max Series.dt.mean Series.dt.median Series.dt.microsecond Series.dt.millennium Series.dt.millisecond Series.dt.min Series.dt.minute Series.dt.month Series.dt.month_end Series.dt.month_start Series.dt.nanosecond Series.dt.offset_by Series.dt.ordinal_day Series.dt.quarter Series.dt.replace Series.dt.replace_time_zone Series.dt.round Series.dt.second Series.dt.strftime Series.dt.time Series.dt.timestamp Series.dt.to_string Series.dt.total_days Series.dt.total_hours Series.dt.total_microseconds Series.dt.total_milliseconds Series.dt.total_minutes Series.dt.total_nanoseconds Series.dt.total_seconds Series.dt.truncate Series.dt.week Series.dt.weekday Series.dt.with_time_unit Series.dt.year