Datetime (.dt) Accessor
=======================

.. currentmodule:: pandasCore

Access datetime methods on Series with datetime data via ``.dt``.

Example
-------

.. code-block:: python

   import pandasCore as pd

   s = pd.Series(pd.date_range('2023-01-01', periods=3))
   s.dt.year       # [2023, 2023, 2023]
   s.dt.month      # [1, 1, 1]
   s.dt.dayofweek  # [6, 0, 1]

Attributes
----------

.. list-table::
   :widths: 25 75
   :header-rows: 1

   * - Attribute
     - Description
   * - year
     - Year component
   * - month
     - Month component
   * - day
     - Day component
   * - hour
     - Hour component
   * - minute
     - Minute component
   * - second
     - Second component
   * - microsecond
     - Microsecond component
   * - nanosecond
     - Nanosecond component
   * - dayofweek
     - Day of week (Monday=0)
   * - dayofyear
     - Day of year
   * - quarter
     - Quarter (1-4)
   * - is_month_start
     - Is first day of month
   * - is_month_end
     - Is last day of month
   * - is_quarter_start
     - Is first day of quarter
   * - is_quarter_end
     - Is last day of quarter
   * - is_year_start
     - Is first day of year
   * - is_year_end
     - Is last day of year
   * - is_leap_year
     - Is leap year
   * - tz
     - Timezone
   * - freq
     - Frequency

Methods
-------

.. list-table::
   :widths: 25 75
   :header-rows: 1

   * - Method
     - Description
   * - normalize()
     - Set time to midnight
   * - strftime(format)
     - Format as string
   * - round(freq)
     - Round to frequency
   * - floor(freq)
     - Floor to frequency
   * - ceil(freq)
     - Ceiling to frequency
   * - tz_localize(tz)
     - Localize to timezone
   * - tz_convert(tz)
     - Convert to timezone
   * - to_period(freq)
     - Convert to Period
   * - to_pydatetime()
     - Convert to datetime