.. only:: html .. note:: :class: sphx-glr-download-link-note Click :ref:`here ` 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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ The following is a simulation of the `EPR dataset `_, originally obtained as a JCAMP-DX file, and subsequently converted to the CSD model file-format. The data structure of this dataset follows, .. code-block:: default import csdmpy as cp filename = "https://osu.box.com/shared/static/0dh8mwnjr600lh1ufpsmt5780yp7wi99.csdf" EPR_data = cp.load(filename) print(EPR_data.data_structure) .. rst-class:: sphx-glr-script-out 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" } ], "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" ] ] } ] } } and the corresponding plot .. code-block:: default cp.plot(EPR_data) .. image:: /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 1.082 seconds) .. _sphx_glr_download_auto_examples_1D_1_examples_plot_2_EPR.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_2_EPR.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_2_EPR.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_