.. _sphx_glr_gallery_streamplot.py:


Streamplot
----------

Generating a vector-based streamplot.





.. image:: /gallery/images/sphx_glr_streamplot_001.png
    :align: center





.. code-block:: python


    import matplotlib.pyplot as plt

    import cartopy.crs as ccrs
    from cartopy.examples.arrows import sample_data


    def main():
        fig = plt.figure(figsize=(10, 5))
        ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
        ax.set_extent([-90, 75, 10, 85], crs=ccrs.PlateCarree())
        ax.coastlines()

        x, y, u, v, vector_crs = sample_data(shape=(80, 100))
        magnitude = (u ** 2 + v ** 2) ** 0.5
        ax.streamplot(x, y, u, v, transform=vector_crs,
                      linewidth=2, density=2, color=magnitude)
        plt.show()


    if __name__ == '__main__':
        main()

**Total running time of the script:** ( 0 minutes  3.772 seconds)



.. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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

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

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