.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/1D_1_examples/plot_2_EPR.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_1D_1_examples_plot_2_EPR.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_1D_1_examples_plot_2_EPR.py:


Electron Paramagnetic Resonance (EPR) dataset
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. GENERATED FROM PYTHON SOURCE LINES 6-10

The following is a simulation of the
`EPR dataset <http://wwwchem.uwimona.edu.jm/spectra/index.html>`_,
originally obtained as a JCAMP-DX file, and subsequently converted to the
CSD model file-format. The data structure of this dataset follows,

.. GENERATED FROM PYTHON SOURCE LINES 10-19

.. code-block:: Python

    import matplotlib.pyplot as plt

    import csdmpy as cp

    domain = "https://www.ssnmr.org/sites/default/files/CSDM"
    filename = f"{domain}/EPR/AmanitaMuscaria_base64.csdf"
    EPR_data = cp.load(filename)
    print(EPR_data.data_structure)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    {
      "csdm": {
        "version": "1.0",
        "read_only": true,
        "timestamp": "2015-02-26T16:41:00Z",
        "description": "A Electron Paramagnetic Resonance simulated dataset.",
        "dimensions": [
          {
            "type": "linear",
            "count": 298,
            "increment": "4.0 G",
            "coordinates_offset": "2750.0 G",
            "quantity_name": "magnetic flux density",
            "reciprocal": {
              "quantity_name": "electrical mobility"
            }
          }
        ],
        "dependent_variables": [
          {
            "type": "internal",
            "name": "Amanita.muscaria",
            "numeric_type": "float32",
            "quantity_type": "scalar",
            "component_labels": [
              "Intensity Derivative"
            ],
            "components": [
              [
                "0.067, 0.136, ..., -0.035, -0.137"
              ]
            ]
          }
        ]
      }
    }




.. GENERATED FROM PYTHON SOURCE LINES 20-21

and the corresponding plot.

.. GENERATED FROM PYTHON SOURCE LINES 21-26

.. code-block:: Python

    plt.figure(figsize=(5, 3.5))
    ax = plt.subplot(projection="csdm")
    ax.plot(EPR_data)
    plt.tight_layout()
    plt.show()



.. image-sg:: /auto_examples/1D_1_examples/images/sphx_glr_plot_2_EPR_001.png
   :alt: plot 2 EPR
   :srcset: /auto_examples/1D_1_examples/images/sphx_glr_plot_2_EPR_001.png
   :class: sphx-glr-single-img






.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.272 seconds)


.. _sphx_glr_download_auto_examples_1D_1_examples_plot_2_EPR.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_2_EPR.ipynb <plot_2_EPR.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_2_EPR.py <plot_2_EPR.py>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_