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

.. only:: html

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

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

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

.. _sphx_glr_gallery_vector_data_streamplot.py:


Streamplot
----------

Generating a vector-based streamplot.

.. GENERATED FROM PYTHON SOURCE LINES 8-50



.. image-sg:: /gallery/vector_data/images/sphx_glr_streamplot_001.png
   :alt: streamplot
   :srcset: /gallery/vector_data/images/sphx_glr_streamplot_001.png
   :class: sphx-glr-single-img





.. code-block:: Python

    import matplotlib.pyplot as plt

    import cartopy.crs as ccrs


    def sample_data(shape=(20, 30)):
        """
        Return ``(x, y, u, v, crs)`` of some vector data
        computed mathematically. The returned crs will be a rotated
        pole CRS, meaning that the vectors will be unevenly spaced in
        regular PlateCarree space.

        """
        import numpy as np

        crs = ccrs.RotatedPole(pole_longitude=177.5, pole_latitude=37.5)

        x = np.linspace(311.9, 391.1, shape[1])
        y = np.linspace(-23.6, 24.8, shape[0])

        x2d, y2d = np.meshgrid(x, y)
        u = 10 * (2 * np.cos(2 * np.deg2rad(x2d) + 3 * np.deg2rad(y2d + 30)) ** 2)
        v = 20 * np.cos(6 * np.deg2rad(x2d))

        return x, y, u, v, crs


    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()


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

   **Total running time of the script:** (0 minutes 1.383 seconds)


.. _sphx_glr_download_gallery_vector_data_streamplot.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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