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

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

.. _sphx_glr_auto_examples_plot_scatterdata.py:


=========================================
Plot the 1D ScatterData
=========================================

This example shows how to plot the 1D ScatterData object. I use a CO2 data file from the Antarctic EDC ice core (https://doi.pangaea.de/10.1594/PANGAEA.472488) as an example.

The following features are used:

#. Load the data (which just download from Pangaea without any modification)

#. Plot the raw data

#. Plot the interpolated data (based on cubic spline interpolation)

#. Plot the rolling averaged data

.. GENERATED FROM PYTHON SOURCE LINES 18-41



.. image-sg:: /auto_examples/images/sphx_glr_plot_scatterdata_001.png
   :alt: plot scatterdata
   :srcset: /auto_examples/images/sphx_glr_plot_scatterdata_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    from cgeniepy.table import ScatterData
    import matplotlib.pyplot as plt

    # Load data
    url = "https://doi.pangaea.de/10.1594/PANGAEA.472488"
    edc_co2 = ScatterData(url)
    edc_co2.set_index(['Gas age'])

    fig = plt.figure(figsize=(5, 4))
    ax = fig.add_subplot(111)

    # Plot the raw data
    edc_co2.plot(var='CO2', ax=ax, 
            label='Raw Data', kind='scatter',
            edgecolor='black', facecolor='none', marker='o')

    # # Plot the interpolated data (based on cubic spline interpolation)
    interpolated_data = edc_co2.interpolate(var='CO2')
    interpolated_data.plot(var='CO2', ax=ax, label='Interpolated', kind='line')

    ax.legend()
    plt.show()


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

   **Total running time of the script:** (0 minutes 1.395 seconds)


.. _sphx_glr_download_auto_examples_plot_scatterdata.py:

.. only:: html

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

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

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

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

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

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_scatterdata.zip <plot_scatterdata.zip>`


.. only:: html

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

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