.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_tutorials_1D_datasets_plot_0_1D.py>`     to download the full example code
    .. rst-class:: sphx-glr-example-title

    .. _sphx_glr_auto_tutorials_1D_datasets_plot_0_1D.py:


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

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.


.. code-block:: default

    import matplotlib.pyplot as plt
    import numpy as np

    import csdmpy as cp








Let's generate a 1D NumPy array of as our dataset.


.. code-block:: default

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








Create a DependentVariable object from the numpy object


.. code-block:: default

    dv = cp.as_dependent_variable(test_data, unit="%")








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


.. code-block:: default

    dim = cp.LinearDimension(count=500, increment="1 m")








Creating the CSDM object.


.. code-block:: default

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








Plot of the dataset.


.. code-block:: default

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




.. image:: /auto_tutorials/1D_datasets/images/sphx_glr_plot_0_1D_001.png
    :alt: plot 0 1D
    :class: sphx-glr-single-img





To serialize the file, use the save method.


.. code-block:: default

    csdm_object.save("1D_1_dataset.csdf")








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

   **Total running time of the script:** ( 0 minutes  0.126 seconds)


.. _sphx_glr_download_auto_tutorials_1D_datasets_plot_0_1D.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_0_1D.py <plot_0_1D.py>`



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

     :download:`Download Jupyter notebook: plot_0_1D.ipynb <plot_0_1D.ipynb>`


.. only:: html

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

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