.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_tutorials/1D_datasets/plot_1_1D.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_tutorials_1D_datasets_plot_1_1D.py>`
        to download the full example code

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

.. _sphx_glr_auto_tutorials_1D_datasets_plot_1_1D.py:


1D{1,1} datasets
----------------

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In the following example, we illustrate how one can covert a Numpy array into
a CSDM object. Start by importing the Numpy and csdmpy libraries.

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.. code-block:: Python

    import matplotlib.pyplot as plt
    import numpy as np

    import csdmpy as cp








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Let's generate two 1D NumPy arrays as the dependent variables of as our dataset.

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.. code-block:: Python

    test_data1 = np.zeros(500)
    test_data1[250] = 1

    test_data2 = np.zeros(500)
    test_data2[150] = 1








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Create the two DependentVariable objects from the numpy objects.

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.. code-block:: Python

    dv1 = cp.as_dependent_variable(test_data1, unit="%")
    dv2 = cp.as_dependent_variable(test_data2, unit="J")








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Create the corresponding dimension object. Here, we create a LinearDimension object.

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.. code-block:: Python

    dim = cp.LinearDimension(count=500, increment="43 cm", coordinates_offset="-0.1 km")








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Creating the CSDM object.

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.. code-block:: Python

    csdm_object = cp.CSDM(dependent_variables=[dv1, dv2], dimensions=[dim])








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Plot of the dataset.

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.. code-block:: Python

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




.. image-sg:: /auto_tutorials/1D_datasets/images/sphx_glr_plot_1_1D_001.png
   :alt: plot 1 1D
   :srcset: /auto_tutorials/1D_datasets/images/sphx_glr_plot_1_1D_001.png
   :class: sphx-glr-single-img





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To serialize the file, use the save method.

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.. code-block:: Python

    csdm_object.save("1D_11_dataset.csdf")








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

   **Total running time of the script:** (0 minutes 0.208 seconds)


.. _sphx_glr_download_auto_tutorials_1D_datasets_plot_1_1D.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: plot_1_1D.ipynb <plot_1_1D.ipynb>`

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

      :download:`Download Python source code: plot_1_1D.py <plot_1_1D.py>`


.. only:: html

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

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