Version 0.12 (April 14, 2015)


  • We are very pleased to announce that Elliott Sales de Andrade was added to the cartopy core development team. Elliott has added several new projections in this release, as well as setting up cartopy’s Python 3 testing on TravisCI and generally improving the cartopy codebase.

  • Installing cartopy became much easier for conda users. A scitools channel has been added which makes getting cartopy and all of its dependencies on Linux, OSX and Windows possible with:

    conda install -c scitools cartopy
  • Support for Python 3, specifically 3.3 and 3.4, has been added. Some features that depend on OWSLib will not be available as it does not support Python 3.

  • Two new projections, AzimuthalEquidistant and AlbersEqualArea have been added. See the PlateCarree for the full list of projections now available in cartopy.

  • The Web Map Service (WMS) interface has been extended to support on-the-fly reprojection of imagery if the service does not support the projection of the map being drawn. The following example demonstrates the process by adding WMS imagery to an Interrupted Goode Homolosine map - unsurprisingly this WMS service does not provide IGH imagery, so cartopy has had to reproject them from a projection the WMS does support:

  • Peter Killick added an interface for accessing MapBox tiles using the MapBox Developer API. A MapBox client can be created with, MapboxTiles and as with the other imagery from a simple URL based imagery service, it can be added to a GeoAxes with the add_image() method. The following example demonstrates the interface for another source of imagery:

  • Some improvements were made to the geometry transformation algorithm to improve the stability of geometry winding. Several cases of geometries being incorrectly inverted when transformed have now been resolved. (PR #545)

  • Mark Hedley added the central_rotated_longitude keyword to, which is particularly useful for limited area rotated pole models in areas such as New Zealand:

  • A new method has been added to the GeoAxes to allow control of the neatline of a map drawn with the Matplotlib interface. The method, set_boundary(), takes a matplotlib Path object, which means that arbitrary shaped edges can be achieved:

  • A new SRTM3 RasterSource has been implemented allowing interactive pan/zoom of 3 arc-second elevation data from the Shuttle Radar Topography Mission. The SRTM example has also been updated to use the new interface.

  • New additions to the gallery:



  • The SRTM module has been re-factored for simplicity and to take advantage of the new raster source interface. Some methods have therefore been deprecated and will be removed in future releases. The function has been replaced with the method. Similarly, and have been replaced with the and methods respectively.

  • The interface has been changed such that a sequence of must be returned, rather than a single image and its associated extent.

  • The secant_latitudes keyword in has been deprecated in favour of standard_parallels.