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

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

.. _sphx_glr_examples_plot_quiver.py:


Vector field quiver plot
=========================

Demonstration of vector field quiver plot.


.. image:: /examples/images/sphx_glr_plot_quiver_001.png
    :class: sphx-glr-single-img





.. code-block:: default


    import numpy as np
    import matplotlib.pyplot as plt
    import pyimof

    # --- Load the MiniCooper sequence

    I0, I1 = pyimof.data.minicooper()

    # --- Estimate the optical flow

    u, v = pyimof.solvers.ilk(I0, I1)

    norm = np.sqrt(u*u + v*v)

    # --- Display it with different options

    fig = plt.figure(figsize=((9, 7)))
    ax0, ax1, ax2, ax3 = fig.subplots(2, 2, True, True).ravel()
    fig.tight_layout()

    ax0.imshow(I0, cmap='gray')
    ax0.set_axis_off()
    ax0.set_title("Reference image")

    pyimof.display.quiver(u, v, ax=ax1)
    ax1.set_title("Raw arrows")

    pyimof.display.quiver(u, v, c=norm, bg=I0, ax=ax2,
                          cmap='jet', bg_cmap='gray')
    ax2.set_title("Arrows colored according to their norm over Image")

    pyimof.display.quiver(u, v, bg=norm, ax=ax3, color='r')
    ax3.set_title("Red arrows over magnitude")

    plt.show()


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

   **Total running time of the script:** ( 0 minutes  1.070 seconds)


.. _sphx_glr_download_examples_plot_quiver.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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