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

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

.. _sphx_glr_auto_examples_create_signal_from_tabular_data_file.py:


Creates a signal1D from a text file
===================================

This example creates a signal from tabular data imported from a txt file using
:func:`numpy.loadtxt`. The signal axis and the EELS intensity values are
given by the first and second columns, respectively.

The tabular data are taken from https://eelsdb.eu/spectra/la2nio4-structure-of-k2nif4/

.. GENERATED FROM PYTHON SOURCE LINES 11-15

.. code-block:: Python


    import numpy as np
    import hyperspy.api as hs








.. GENERATED FROM PYTHON SOURCE LINES 16-17

Read tabular data from a text file:

.. GENERATED FROM PYTHON SOURCE LINES 17-19

.. code-block:: Python

    x, y = np.loadtxt("La2NiO4_eels.txt", unpack=True)








.. GENERATED FROM PYTHON SOURCE LINES 20-21

Define the axes of the signal and then create the signal:

.. GENERATED FROM PYTHON SOURCE LINES 21-29

.. code-block:: Python


    axes = [
        # use values from first column to define non-uniform signal axis
        dict(axis=x, name="Energy", units="eV"),
        ]

    s = hs.signals.Signal1D(y, axes=axes)








.. GENERATED FROM PYTHON SOURCE LINES 30-33

Convert the non-uniform axis to a uniform axis, because non-uniform axes do not
support all functionalities of HyperSpy.
In this case, the error introduced during conversion to uniform `scale` is negligeable.

.. GENERATED FROM PYTHON SOURCE LINES 33-36

.. code-block:: Python


    s.axes_manager.signal_axes[0].convert_to_uniform_axis()








.. GENERATED FROM PYTHON SOURCE LINES 37-38

Set title of the dataset and label for the data axis:

.. GENERATED FROM PYTHON SOURCE LINES 38-41

.. code-block:: Python

    s.metadata.set_item("General.title", "La2NiO4 EELS")
    s.metadata.set_item("Signal.quantity", "Intensity (counts)")








.. GENERATED FROM PYTHON SOURCE LINES 42-43

Plot the dataset:

.. GENERATED FROM PYTHON SOURCE LINES 43-45

.. code-block:: Python


    s.plot()



.. image-sg:: /auto_examples/create_signal/images/sphx_glr_from_tabular_data_file_001.png
   :alt: La2NiO4 EELS Signal
   :srcset: /auto_examples/create_signal/images/sphx_glr_from_tabular_data_file_001.png
   :class: sphx-glr-single-img






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

   **Total running time of the script:** (0 minutes 0.444 seconds)


.. _sphx_glr_download_auto_examples_create_signal_from_tabular_data_file.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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