I was able to solve my two problems by doing label="" and numpoints=1. Thank you very much for your help.
I found my solution here: http://stackoverflow.com/questions/19385639/duplicate-items-in-legend-in-matplotlib There is also another cleaner solution here: http://stackoverflow.com/questions/13588920/stop-matplotlib-repeating-labels-in-legend import matplotlib matplotlib.use('Agg') from mpl_toolkits.basemap import Basemap import matplotlib.pyplot as plt map = Basemap() map.plot(label="") plt.legend(numpoints=1) On Mon, Oct 20, 2014 at 8:11 AM, Benjamin Root <ben.r...@ou.edu> wrote: > Legends entries are blindly constructed. Each plotting call that has a > legend keyword argument will produce a legend entry if you are automatically > building the legend. You can pass a label value of "__nolabel__" to prevent > an entry if you know you are about to do something that would duplicate the > entries. Another approach is to manually collect unique artists and manually > build the legend (I think there is an example of that in the gallary). > > As for configuring the legend, there are a bunch of parameters that can be > set for sizing the font. I think the sizing of the marker is determined by > their size in the plot, though. > > Cheers! > Ben Root > > > On Mon, Oct 20, 2014 at 10:46 AM, Hearne, Mike <mhea...@usgs.gov> wrote: >> >> For your first question: Use the legend "numpoints" keyword. I think >> if you set it to 1, it should solve that problem. >> >> For your second question, I'm not sure, but I'll bet if you poke >> around in the Legend object returned by the function, you'll find >> something. >> >> On Mon, Oct 20, 2014 at 8:04 AM, Tommy Carstensen >> <tommy.carsten...@gmail.com> wrote: >> > How does one avoid duplicate legends? >> > >> > www.tommycarstensen.com/python2_matplotlib_basemap_merc_bluemarble_hresolution.jpg >> > >> > Can I make the legend size smaller than the marker size? >> > >> > >> > ------------------------------------------------------------------------------ >> > Comprehensive Server Monitoring with Site24x7. >> > Monitor 10 servers for $9/Month. >> > Get alerted through email, SMS, voice calls or mobile push >> > notifications. >> > Take corrective actions from your mobile device. >> > http://p.sf.net/sfu/Zoho >> > _______________________________________________ >> > Matplotlib-users mailing list >> > Matplotlib-users@lists.sourceforge.net >> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> >> ------------------------------------------------------------------------------ >> Comprehensive Server Monitoring with Site24x7. >> Monitor 10 servers for $9/Month. >> Get alerted through email, SMS, voice calls or mobile push notifications. >> Take corrective actions from your mobile device. >> http://p.sf.net/sfu/Zoho >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > ------------------------------------------------------------------------------ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users