**dgpost**: datagram post-processing toolkit
============================================
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A set of datagram postprocessing tools, functions, visualisations and export scripts.

dgpost is a Python library for reproducible postprocessing of time-resolved data. 
It provides functions to load data from `datagrams` and :class:`pd.DataFrames`,
automatic datapoint interpolation using unix timestamps, a library of transformation
functions with implementations of common calculations in chemistry, catalysis,
electrochemistry, etc., and convenience functions to save and plot the calculated data.

dgpost relies on the `dgpost-recipe` schema, defined in the 
:mod:`dgbowl_schemas.dgpost_recipe` module of that package. 

In addition to the above, dgpost is fully unit- and uncertainty-aware, using the 
`pint <https://pint.readthedocs.io/en/stable/>`_ and 
`uncertainties <https://pythonhosted.org/uncertainties/>`_ packages.

.. toctree::
   :maxdepth: 3
   :caption: dgpost user manual
   :hidden:

   installation
   usage
   features
   version

.. toctree::
   :maxdepth: 2
   :caption: dgpost function library
   :hidden:

   apidoc/dgpost.transform.catalysis
   apidoc/dgpost.transform.chromatography
   apidoc/dgpost.transform.electrochemistry
   apidoc/dgpost.transform.impedance
   apidoc/dgpost.transform.rates
   apidoc/dgpost.transform.reflection
   apidoc/dgpost.transform.table

.. toctree::
   :maxdepth: 2
   :caption: dgpost utility library
   :hidden:

   apidoc/dgpost.utils.load
   apidoc/dgpost.utils.extract
   apidoc/dgpost.utils.transform
   apidoc/dgpost.utils.plot
   apidoc/dgpost.utils.save

.. toctree::
   :maxdepth: 1
   :caption: dgpost developer manual
   :hidden:

   contributing
   apidoc/dgpost