Cartopy - multiple arrows using annotate -

using this solution base, possible create multiple arrows emanating same source different targets? e.g. delhi -> beijing (116.4, 39.9), delhi -> cairo (30.0, 31.2), delhi -> tokyo (35.6, 139.6)?

when repeat code below, first arrow.

#dehli - beijing       ax.annotate('beijing', xy=(116.4, 39.9), xycoords=transform,             size=40,             )      ax.annotate('delhi', xy=(113, 40.5), xytext=(77.23, 28.61),             size=40,             arrowprops=dict(facecolor='red', ec = 'none',                             arrowstyle="fancy",                             connectionstyle="arc3,rad=-0.2",                            ),             xycoords=transform,                )  #dehli - cairo       ax.annotate('cairo', xy=(-6.26, 53.34), xycoords=transform,             size=40,             )      ax.annotate('delhi', xy=(113, 40.5), xytext=(77.23, 28.61),             size=40,             arrowprops=dict(facecolor='red', ec = 'none',                             arrowstyle="fancy",                             connectionstyle="arc3,rad=-0.2",                            ),             xycoords=transform,                ) 

alternatively, there way put .annotate expression i'm using @ present draw connecting lines. i've tried no avail:

#coordinates lon_dehl, lat_dehl = 116.4, 39.9 lon_beij, lat_beij = 77.59, 12.97 lon_toky, lat_toky = 35.6, 139.6 lon_cair, lat_cair = 30.0, 31.2  plt.plot([lon_dehl, lon_beij], [lat_dehl, lat_beij],      linewidth=2,          linestyle='solid',          solid_capstyle='round',          color='#cb2c31',         marker='o',           markersize=6,          markeredgewidth=none,           markeredgecolor='#cb2c31',      transform=ccrs.platecarree(),         ) 

this isn't perfect (in fact, i'd welcome improvements), achieved multiple arrows annotate.

the theory is: use same source arrows, alter target lat-lons (or more correctly, lon-lat). seems obvious now.

also, don't use annotate city names. annotate seems put name @ start of arrow rather endpoint.

as say, i'd welcome suggestions improvements (incl. labelling).

import matplotlib.pyplot plt import cartopy.crs ccrs import cartopy.feature cfeature pyproj import proj, transform  def main():     ax = plt.axes(projection=ccrs.platecarree())     ax.set_extent([-150, 60, -25, 60])      ax.add_feature(cfeature.land)     ax.add_feature(cfeature.ocean)     ax.add_feature(cfeature.coastline)     ax.add_feature(cfeature.borders)       #labels - city locations & names     ax.plot(77.20, 28.61, 'bo', markersize=7, transform=ccrs.geodetic())     ax.text(65, 33, 'dehli', transform=ccrs.geodetic())      ax.plot(139.69, 35.68, 'bo', markersize=7, transform=ccrs.geodetic())     ax.text(139.69, 35.68, 'tokyo', transform=ccrs.geodetic())      ax.plot(0.12, 51.50, 'bo', markersize=7, transform=ccrs.geodetic())     ax.text(0.12, 51.50, 'london', transform=ccrs.geodetic())      ax.plot(-71.05, 42.36, 'bo', markersize=7, transform=ccrs.geodetic())     ax.text(-71.05, 42.36, 'new york', transform=ccrs.geodetic())      ax.plot(151.81, -33.86, 'bo', markersize=7, transform=ccrs.geodetic())     ax.text(151.81, -33.86, 'sydney', transform=ccrs.geodetic())      ax.plot(-43.2, -22.9, 'bo', markersize=7, transform=ccrs.geodetic())     ax.text(-43.2, -22.9, 'rio', transform=ccrs.geodetic())       #arrows lines       transform = ccrs.platecarree()._as_mpl_transform(ax)       #dehli tokyo     ax.annotate('', xy=(139.69, 35.68), xytext=(77.20, 28.61),             xycoords='data',             size=20,             arrowprops=dict(facecolor='red', ec = 'none',                             arrowstyle="fancy",                             connectionstyle="arc3,rad=-0.3"))      #dehli london     ax.annotate('', xy=(0.12, 51.50), xytext=(77.20, 28.61),              size=10,             xycoords='data',             arrowprops=dict(facecolor='red', ec = 'none',                             arrowstyle="fancy",                             connectionstyle="arc3,rad=-0.3"))      #dehli new york     ax.annotate('', xy=(-71.05, 42.36), xytext=(77.20, 28.61),             xycoords='data',             size=30,             arrowprops=dict(facecolor='red', ec = 'none',                             arrowstyle="fancy",                             connectionstyle="arc3,rad=-0.3"))      #dehli sydney     ax.annotate('', xy=(151.81, -33.86), xytext=(77.20, 28.61),             xycoords='data',             size=10,             arrowprops=dict(facecolor='red', ec = 'none',                             arrowstyle="fancy",                             connectionstyle="arc3,rad=-0.3"))      #dehli rio     ax.annotate('', xy=(-43.2, -22.9), xytext=(77.20, 28.61),             xycoords='data',             size=20,             arrowprops=dict(facecolor='red', ec = 'none',                             arrowstyle="fancy",                             connectionstyle="arc3,rad=-0.3")                )       #plt.tight_layout()     plt.show()   if __name__ == '__main__':     main()