.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/03_Advanced/plot_05_autophasing.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_03_Advanced_plot_05_autophasing.py>`
        to download the full example code

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

.. _sphx_glr_auto_examples_03_Advanced_plot_05_autophasing.py:


.. _plot_05_autophasing:

===================================
Using the DNPLab autophase function
===================================

This example demonstrates how to use the DNPLab autophase function on a dnpdata object.

.. GENERATED FROM PYTHON SOURCE LINES 13-15

The following example shows how the autophase function can be conveniently used.
To get started, first, setup the python environment:

.. GENERATED FROM PYTHON SOURCE LINES 15-18

.. code-block:: Python


    import dnplab as dnp








.. GENERATED FROM PYTHON SOURCE LINES 19-21

Let's load some example data
the data consists of 4 fid that are phase cycled (0-90-180-270)

.. GENERATED FROM PYTHON SOURCE LINES 21-24

.. code-block:: Python


    data = dnp.load("../../data/prospa/water_phase_cycled/data.2d")








.. GENERATED FROM PYTHON SOURCE LINES 25-27

we are interested in the spectra
and only the arbitrary part from -900 to -100 ppm

.. GENERATED FROM PYTHON SOURCE LINES 27-30

.. code-block:: Python


    data = dnp.fourier_transform(data)["f2", (-900.0, -100.0)]








.. GENERATED FROM PYTHON SOURCE LINES 31-32

we look at the real part of the spectra

.. GENERATED FROM PYTHON SOURCE LINES 32-35

.. code-block:: Python


    data_real = data.real








.. GENERATED FROM PYTHON SOURCE LINES 36-37

lets plot the spectrum for all 4 cycles

.. GENERATED FROM PYTHON SOURCE LINES 37-40

.. code-block:: Python


    dnp.fancy_plot(data_real)




.. image-sg:: /auto_examples/03_Advanced/images/sphx_glr_plot_05_autophasing_001.png
   :alt: plot 05 autophasing
   :srcset: /auto_examples/03_Advanced/images/sphx_glr_plot_05_autophasing_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none


    [<matplotlib.lines.Line2D object at 0x7f838cf07130>, <matplotlib.lines.Line2D object at 0x7f838cf07880>, <matplotlib.lines.Line2D object at 0x7f838cf07550>, <matplotlib.lines.Line2D object at 0x7f838cf07a60>]



.. GENERATED FROM PYTHON SOURCE LINES 41-43

clearly the spectra are phase cycled, but we'd like to have them phased all the same
we can use dnp.autophase for that:

.. GENERATED FROM PYTHON SOURCE LINES 43-46

.. code-block:: Python


    data_phased = dnp.autophase(data)
    dnp.fancy_plot(data_phased)



.. image-sg:: /auto_examples/03_Advanced/images/sphx_glr_plot_05_autophasing_002.png
   :alt: plot 05 autophasing
   :srcset: /auto_examples/03_Advanced/images/sphx_glr_plot_05_autophasing_002.png
   :class: sphx-glr-single-img


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

 .. code-block:: none


    [<matplotlib.lines.Line2D object at 0x7f8387c86910>, <matplotlib.lines.Line2D object at 0x7f8387c86d30>, <matplotlib.lines.Line2D object at 0x7f8387c861f0>, <matplotlib.lines.Line2D object at 0x7f8387c86310>]




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

   **Total running time of the script:** (0 minutes 0.347 seconds)


.. _sphx_glr_download_auto_examples_03_Advanced_plot_05_autophasing.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: plot_05_autophasing.ipynb <plot_05_autophasing.ipynb>`

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

      :download:`Download Python source code: plot_05_autophasing.py <plot_05_autophasing.py>`


.. only:: html

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

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