helikite.classes.data_processing_level2
=======================================

.. py:module:: helikite.classes.data_processing_level2


Classes
-------

.. autoapisummary::

   helikite.classes.data_processing_level2.DataProcessorLevel2


Module Contents
---------------

.. py:class:: DataProcessorLevel2(output_schema: helikite.classes.output_schemas.OutputSchema, df: pandas.DataFrame, metadata: pydantic.BaseModel, flight_computer_version: str | None = 'v2')

   Bases: :py:obj:`helikite.classes.base.BaseProcessor`


   Level 2 processor for averaging data to 10-second intervals.


   .. py:property:: level
      :type: helikite.classes.output_schemas.Level


      Processing level identifier.


   .. py:attribute:: _df


   .. py:attribute:: _metadata


   .. py:method:: _data_state_info() -> list[str]


   .. py:property:: df
      :type: pandas.DataFrame


      Return the current state of dataframe.


   .. py:method:: average(rule='10s')

      Average the data to the specified time intervals (by default, 10-second intervals),
      with special handling of "WindDir".



   .. py:method:: plot_flight_profiles(flight_basename: str, save_path: str | pathlib.Path, variables: list[helikite.classes.output_schemas.FlightProfileVariable] | None = None)

      Generate and save flight profile plots.



   .. py:method:: plot_size_distr(flight_basename: str, save_path: str | pathlib.Path, time_start: datetime.datetime | None = None, time_end: datetime.datetime | None = None)

      Generate and save particle size distribution plots combined in a single plot.



   .. py:method:: read_data(level2_filepath: str | pathlib.Path) -> pandas.DataFrame
      :staticmethod:


      Load Level 2 dataframe from CSV.



   .. py:method:: export_data(filepath: str | pathlib.Path | None = None)

      Export dataframe in its final state.