.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "generated/gallery/visualisation/plotting_a_timeseries.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

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

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

.. _sphx_glr_generated_gallery_visualisation_plotting_a_timeseries.py:


===================================
Plotting a timeseries of a contour
===================================

A RippleImageSeries is simply a container class for a list of RippleImages.

This example demonstrates how to plot a RippleImageSeries using inbuilt plotting methods.

.. GENERATED FROM PYTHON SOURCE LINES 10-19

.. code-block:: Python


    from matplotlib import pyplot as plt

    from ripplemapper.analyse import (add_a_star_contours, add_boundary_contours,
                                      add_chan_vese_contours)
    from ripplemapper.classes import RippleImageSeries
    from ripplemapper.data.example import example_dir
    from ripplemapper.io import load_dir_to_obj








.. GENERATED FROM PYTHON SOURCE LINES 20-24

We can create a list of RippleImages from a list of image files.
In this example we use the load_dir_to_obj method to load all images in a directory into RippleImage objects.

Passing this list to the RippleImageSeries constructor will create a RippleImageSeries object.

.. GENERATED FROM PYTHON SOURCE LINES 25-32

.. code-block:: Python


    ripple_images = load_dir_to_obj(example_dir)
    series = RippleImageSeries(ripple_images)
    add_boundary_contours(series, sigma=2)
    add_a_star_contours(series)
    add_chan_vese_contours(series)








.. GENERATED FROM PYTHON SOURCE LINES 33-36

We can plot a timeseries of this object, showing how the same contour evolves over time.

We can refer to the contour via index:

.. GENERATED FROM PYTHON SOURCE LINES 37-41

.. code-block:: Python


    series.timeseries(1)
    plt.show()




.. image-sg:: /generated/gallery/visualisation/images/sphx_glr_plotting_a_timeseries_001.png
   :alt: plotting a timeseries
   :srcset: /generated/gallery/visualisation/images/sphx_glr_plotting_a_timeseries_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 42-43

or via the method name:

.. GENERATED FROM PYTHON SOURCE LINES 44-47

.. code-block:: Python


    series.timeseries('A* traversal')
    plt.show()



.. image-sg:: /generated/gallery/visualisation/images/sphx_glr_plotting_a_timeseries_002.png
   :alt: plotting a timeseries
   :srcset: /generated/gallery/visualisation/images/sphx_glr_plotting_a_timeseries_002.png
   :class: sphx-glr-single-img






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

   **Total running time of the script:** (0 minutes 5.322 seconds)


.. _sphx_glr_download_generated_gallery_visualisation_plotting_a_timeseries.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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