.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/lines_and_polygons/global_map.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_lines_and_polygons_global_map.py: Global Map ---------- An example of a simple map that compares Geodetic and Plate Carree lines between two locations. .. GENERATED FROM PYTHON SOURCE LINES 9-34 .. image-sg:: /gallery/lines_and_polygons/images/sphx_glr_global_map_001.png :alt: global map :srcset: /gallery/lines_and_polygons/images/sphx_glr_global_map_001.png :class: sphx-glr-single-img .. code-block:: Python import matplotlib.pyplot as plt import cartopy.crs as ccrs def main(): fig = plt.figure(figsize=(10, 5)) ax = fig.add_subplot(1, 1, 1, projection=ccrs.Robinson()) # make the map global rather than have it zoom in to # the extents of any plotted data ax.set_global() ax.stock_img() ax.coastlines() ax.plot(-0.08, 51.53, 'o', transform=ccrs.PlateCarree()) ax.plot([-0.08, 132], [51.53, 43.17], transform=ccrs.PlateCarree()) ax.plot([-0.08, 132], [51.53, 43.17], transform=ccrs.Geodetic()) plt.show() if __name__ == '__main__': main() .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 2.022 seconds) .. _sphx_glr_download_gallery_lines_and_polygons_global_map.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: global_map.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: global_map.py ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_