import cartopy.crs as ccrs
import matplotlib.pyplot as plt
import matplotlib.textpath
import matplotlib.patches
from matplotlib.font_manager import FontProperties
import numpy as np
def main():
plt.figure(figsize=[12, 6])
ax = plt.axes(projection=ccrs.Robinson())
ax.coastlines()
ax.gridlines()
# generate a matplotlib path representing the word "cartopy"
fp = FontProperties(family='Arial', weight='bold')
logo_path = matplotlib.textpath.TextPath((-175, -35), 'cartopy',
size=1, prop=fp)
# scale the letters up to sensible longitude and latitude sizes
logo_path._vertices *= np.array([95, 160])
# add a background image
im = ax.stock_img()
# clip the image according to the logo_path. mpl v1.2.0 does not support
# the transform API that cartopy makes use of, so we have to convert the
# projection into a transform manually
plate_carree_transform = ccrs.PlateCarree()._as_mpl_transform(ax)
im.set_clip_path(logo_path, transform=plate_carree_transform)
# add the path as a patch, drawing black outlines around the text
patch = matplotlib.patches.PathPatch(logo_path,
facecolor='none', edgecolor='black',
transform=ccrs.PlateCarree())
ax.add_patch(patch)
plt.show()
if __name__ == '__main__':
main()