helikite.instruments.msems
==========================

.. py:module:: helikite.instruments.msems

.. autoapi-nested-parse::

   4) mSEMS ->
       mSEMS_103_220929_101343_INVERTED.txt (data to be plotted) (has pressure)
       mSEMS_103_220929_101343_READINGS.txt (high resolution raw data with
                                             houskeeping info, error messages)
                                             (has pressure)
       mSEMS_103_220929_101343_SCANS.txt (raw scan data with some houskeeping
                                          varaibles)

   The mSEMS measures particles size distribution for particles from 8 nanometers
   to roughly 300 nm. The number of bins can vary. Typically we use 60 log-spaced
   bins but it can change. The time resolution depends on the amount of bins and
   the scan time but it is typically between 1 and 2 minutes. I mormally do not
   merge this data with the rest because of the courser time resolution and the
   amount of variables.

   The file provides some information on temperature, pressure etc. It then gives
   the center diamater of each bin (i.e. Bin_Dia1, Bin_Dia2, ...) and then the
   numbe rof particles per bin (i.e. Bin_Conc1, Bin_Conc2, ...).

   -> because of the coarser time resolution, data is easier to be displayed as a
   timeseries (with the addition of total particle concentration and altitude).

   Houskeeping file: Look at READINGS (look at msems_err / cpc_err)



Attributes
----------

.. autoapisummary::

   helikite.instruments.msems.logger
   helikite.instruments.msems.msems_scan
   helikite.instruments.msems.msems_readings
   helikite.instruments.msems.msems_inverted


Classes
-------

.. autoapisummary::

   helikite.instruments.msems.MSEMSInverted
   helikite.instruments.msems.MSEMSReadings
   helikite.instruments.msems.MSEMSScan


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

.. py:data:: logger

.. py:class:: MSEMSInverted(*args, **kwargs)

   Bases: :py:obj:`helikite.instruments.base.Instrument`


   .. py:attribute:: name
      :value: 'msems_inverted'



   .. py:method:: data_corrections(df, **kwargs)

      Create new columns to plot bins



   .. py:method:: file_identifier(first_lines_of_csv) -> bool


   .. py:method:: set_time_as_index(df: pandas.DataFrame) -> pandas.DataFrame

      Set the DateTime as index of the dataframe and correct if needed

      Using values in the time_offset variable, correct DateTime index



   .. py:method:: read_data() -> pandas.DataFrame


.. py:class:: MSEMSReadings(*args, **kwargs)

   Bases: :py:obj:`helikite.instruments.base.Instrument`


   .. py:attribute:: name
      :value: 'msems_readings'



   .. py:method:: file_identifier(first_lines_of_csv) -> bool


   .. py:method:: set_time_as_index(df: pandas.DataFrame) -> pandas.DataFrame

      Set the DateTime as index of the dataframe and correct if needed

      Using values in the time_offset variable, correct DateTime index



   .. py:method:: data_corrections(df, *args, **kwargs)


   .. py:method:: read_data() -> pandas.DataFrame


.. py:class:: MSEMSScan(*args, **kwargs)

   Bases: :py:obj:`helikite.instruments.base.Instrument`


   .. py:attribute:: name
      :value: 'msems_scan'



   .. py:method:: file_identifier(first_lines_of_csv) -> bool


   .. py:method:: set_time_as_index(df: pandas.DataFrame) -> pandas.DataFrame

      Set the DateTime as index of the dataframe and correct if needed

      Using values in the time_offset variable, correct DateTime index



   .. py:method:: data_corrections(df, *args, **kwargs)


   .. py:method:: read_data() -> pandas.DataFrame


.. py:data:: msems_scan

.. py:data:: msems_readings

.. py:data:: msems_inverted