.. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_arrows.py: Arrows ------ Plotting arrows. .. image:: /gallery/images/sphx_glr_arrows_001.png :class: sphx-glr-single-img .. code-block:: python import matplotlib.pyplot as plt import numpy as np import cartopy.crs as ccrs import cartopy.feature as cfeature 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. """ 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() ax = fig.add_subplot(1, 1, 1, projection=ccrs.Orthographic(-10, 45)) ax.add_feature(cfeature.OCEAN, zorder=0) ax.add_feature(cfeature.LAND, zorder=0, edgecolor='black') ax.set_global() ax.gridlines() x, y, u, v, vector_crs = sample_data() ax.quiver(x, y, u, v, transform=vector_crs) plt.show() if __name__ == '__main__': main() **Total running time of the script:** ( 0 minutes 0.011 seconds) .. _sphx_glr_download_gallery_arrows.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download :download:`Download Python source code: arrows.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: arrows.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_