rminstr_specs.Fluke_1620A
=========================

.. py:module:: rminstr_specs.Fluke_1620A


Classes
-------

.. autoapisummary::

   rminstr_specs.Fluke_1620A.DatasheetHumidity
   rminstr_specs.Fluke_1620A.DatasheetTemperature


Package Contents
----------------

.. py:class:: DatasheetHumidity(name: str, serial: str, calibrated: bool = None, days_since_cal: float = None, time_zero: float = None)

   Bases: :py:obj:`rminstr_specs.Specification`


   Data sheet temperature accuracy spec class for Fluke 1620A.

   Attributes
   ----------
   calibrated : bool
       If the instrument is calibrated or not.

   days_since_cal : flaot
       The names since the last calibration.

   units : str
       The units to use for humidity. Shouldnt change.



   Create a datasheet model of a Fluke 1620A temperature reading.


   :Parameters:

       **name** : str
           Name to give datasheet model. For ID purposes.

       **serial** : str
           Serial of instrument, used to look up calibration dates.

       **calibrated** : bool, optional
           If not provided, will attempt to be inferred from either
           days_since_cal or looking up the calibration logbook with the
           serial. The default is None.

       **days_since_cal** : float, optional
           Days since the last calibration, if provided used to determine if
           instrument is in spec. The default is None.

       **time_zero** : float, optional
           Time of readings taken (initial time).
           If neither days_since_cal or calibrated are provided, this must
           be provided to infer the calibration date. The default is None.



   :Returns:

       None.
           ..











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   .. py:attribute:: name


   .. py:attribute:: serial


   .. py:attribute:: calibrated
      :value: None



   .. py:attribute:: units
      :value: 'RH %'



   .. py:method:: all_manufacturer_errors(readings: numpy.ndarray, addition_method: str = 'spec')

      
      Calculate all manufacturer errors and add them together.

      Returns the uncertainty on the readings as 1 standard uncertianty,
      suitable for use in a standard uncertainty analysis.

      Add together all the manufacture errors using rules given by the
      datasheet.

      :Parameters:

          **readings** : _np.ndarray
              Readings to get errors for.

          **addition_method** : str, optional
              Does nothing, provided for compataibility.



      :Returns:

          np.ndarray
              Total manufacturer uncertainty.











      ..
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   .. py:method:: humidity_accuracy(humidity)

      
      Get uncertainty associated with humidity readings.


      :Parameters:

          **humidity**
              Humidity readings.



      :Returns:

          np.ndarray
              Humidity accuracy.











      ..
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.. py:class:: DatasheetTemperature(name: str, serial: str, units: str = 'C', calibrated: bool = None, days_since_cal: float = None, time_zero: float = None)

   Bases: :py:obj:`rminstr_specs.Specification`


   Data sheet temperature accuracy spec class for Fluke 1620A.

   Attributes
   ----------
   calibrated : bool
       If the instrument is calibrated or not.

   days_since_cal : flaot
       The names since the last calibration.

   units : str
       The units to use for temperature.



   Create a datasheet model of a Fluke 1620A temperature reading.


   :Parameters:

       **name** : str
           Name to give datasheet model. For ID purposes.

       **serial** : str
           Serial of instrument, used to look up calibration dates.

       **units** : str, optional
           'C' or 'F'. Units of temperature readings. The default is 'C'.

       **calibrated** : bool, optional
           If not provided, will attempt to be inferred from either
           days_since_cal or looking up the calibration logbook with the
           serial. The default is None.

       **days_since_cal** : float, optional
           Days since the last calibration, if provided used to determine if
           instrument is in spec. The default is None.

       **time_zero** : float, optional
           Time of readings taken (initial time).
           If neither days_since_cal or calibrated are provided, this must
           be provided to infer the calibration date. The default is None.



   :Returns:

       None.
           ..











   ..
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   .. py:attribute:: name


   .. py:attribute:: serial


   .. py:attribute:: calibrated
      :value: None



   .. py:attribute:: units
      :value: 'C'



   .. py:method:: all_manufacturer_errors(readings: numpy.ndarray, addition_method: str = 'spec')

      
      Calculate all manufacturer errors and add them together.

      Returns the uncertainty on the readings as 1 standard uncertianty,
      suitable for use in a standard uncertainty analysis.

      Add together all the manufacture errors using rules given by the
      datasheet.

      :Parameters:

          **readings** : _np.ndarray
              Readings to get errors for.

          **addition_method** : str, optional
              Does nothing, provided for compataibility.



      :Returns:

          **err** : np.ndarray
              Total manufacturer uncertainty.











      ..
          !! processed by numpydoc !!


   .. py:method:: temperature_accuracy(temperature)

      
      Get uncertainty associated with the temperature reading.


      :Parameters:

          **temperature**
              The readings.



      :Returns:

          np.ndarray
              Temperature accuracy.











      ..
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