.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/web_services/image_tiles.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. 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_web_services_image_tiles.py: Web tile imagery ---------------- This example demonstrates how imagery from a tile providing web service can be accessed. .. GENERATED FROM PYTHON SOURCE LINES 9-31 .. image-sg:: /gallery/web_services/images/sphx_glr_image_tiles_001.png :alt: image tiles :srcset: /gallery/web_services/images/sphx_glr_image_tiles_001.png :class: sphx-glr-single-img .. code-block:: default import matplotlib.pyplot as plt import cartopy.crs as ccrs from cartopy.io.img_tiles import Stamen def main(): tiler = Stamen('terrain-background') mercator = tiler.crs fig = plt.figure() ax = fig.add_subplot(1, 1, 1, projection=mercator) ax.set_extent([-90, -73, 22, 34], crs=ccrs.PlateCarree()) ax.add_image(tiler, 6) ax.coastlines('10m') plt.show() if __name__ == '__main__': main() .. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 0.671 seconds) .. _sphx_glr_download_gallery_web_services_image_tiles.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: image_tiles.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: image_tiles.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_