.. _sphx_glr_auto_examples_plot_gaf.py:


=====================
Gramian Angular Field
=====================

This example shows how you can transform a time series into a Gramian Angular
Field using :class:`pyts.image.GASF` for Gramian Angular Summation Field and
:class:`pyts.image.GADF` for Gramian Angular Difference Field.




.. image:: /auto_examples/images/sphx_glr_plot_gaf_001.png
    :align: center





.. code-block:: python


    import numpy as np
    import matplotlib.pyplot as plt
    from pyts.image import GASF, GADF

    # Parameters
    n_samples, n_features = 100, 144

    # Toy dataset
    rng = np.random.RandomState(41)
    X = rng.randn(n_samples, n_features)

    # GAF transformations
    image_size = 24
    gasf = GASF(image_size)
    X_gasf = gasf.fit_transform(X)
    gadf = GADF(image_size)
    X_gadf = gadf.fit_transform(X)

    # Show the results for the first time series
    plt.figure(figsize=(16, 8))
    plt.subplot(121)
    plt.imshow(X_gasf[0], cmap='rainbow', origin='lower')
    plt.title("GASF", fontsize=16)
    plt.subplot(122)
    plt.imshow(X_gadf[0], cmap='rainbow', origin='lower')
    plt.title("GADF", fontsize=16)
    plt.show()

**Total running time of the script:** ( 0 minutes  0.120 seconds)



.. only :: html

 .. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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