Check that the values provided are within the valid range (x_limits=, y_limits=). Each zone is 8-by-6 degrees in extent and uses a transverse Mercator projection that is designed to limit distortion. ValueError: Failed to determine the required bounds in projection coordinates. We want to project this data from a geographic into a projected coordinate system using a projection that is more. See the following minimal example: import cartopyĪx = fig.add_subplot(111, projection=ccrs.UTM(zone="11S")) 1947 for designating rectangular coordinates on. This also occurs when I literally copy and insert the current axis extent (using axis.get_extent()). The Universal Transverse Mercator (UTM) projection and grid system was adopted by the U.S. Each zone is 8-by-6 degrees in extent and uses a transverse Mercator projection that is designed to limit distortion. Normally I can do this with t_extent((left, right, bottom, top)), but when I try to do this with UTM coordinates, I get an error message claiming that my coordinates are outside the permitted range. However, If I choose Use projection in source file when opening the shapefile, I find the area of the data. The UTM projection system for showing the spherical earth on a plane map uses a rectangular grid (see below) consisting of 60 side-by-side north-south zones. The Universal Transverse Mercator (UTM) system divides the world into a regular, nonoverlapping grid of quadrangles called zones. I want to plot a set of UTM coordinates using Matplotlib ( v3.1.3) and Cartopy ( v0.17.0), and then manually set the extent of the axis. The UTM system is not a single map projection.
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