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
>
------------------------------------------------------------------------------
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
