On Tue, Feb 8, 2011 at 7:50 AM, sanders <sand...@knmi.nl> wrote:
> I realize that I have not been clear enough.
>
> I have already created a legend instance in my_own_plot_function, for
> example, a legend with one column by default:
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
> my_own_plot_function(ax, data) # gives, for example, one column legend
> by default
>
> So ax is an axes instance containing the legend.
>
> Incidentally, after inspecting the automatically created plots, I want a
> particular figure to have a two column legend. I would like to do this
> without adding an extra kwarg for the number of columns to
> my_own_plot_function. It should be possible to do something like this:
>
>
> legend = ax.get_legend()
> *legend.set_ncol(2)* # something like this
>
> Once again, thanks for any help!
>
> Bram
>
>
>
> On 02/08/2011 12:35 PM, Thomas Lecocq wrote:
>
> Bram,
>
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
> plot1 = plot.plot(X,Y,label='1')
> plot2 = plot.plot(X,Y,label='2')
> ...
> plotN = plot.plot(X,Y,label='N')
>
> legend = plt.legend(ncol=2)
>
> should work...
>
> so, for your "own_plot_function", you have to return the legend and set it
> accordingly...
>
> Thomas
>
>
>
> **********************
> Thomas Lecocq
> Geologist
> Ph.D.Student (Seismology)
> Royal Observatory of Belgium
> **********************
>
>
>
> ------------------------------
> Date: Tue, 8 Feb 2011 11:25:58 +0100
> From: sand...@knmi.nl
> To: matplotlib-users@lists.sourceforge.net
> Subject: [Matplotlib-users] set ncol for legend
>
> Hi,
>
> I want to update the number of columns in my legend. How should I do that?
>
> I'm looking for something like:
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
> my_own_plot_function(ax, data) # gives, for example, one column legend
> by default
> legend = ax.get_legend()
> *legend.set_ncol(2)* # something like this
>
>
> However, *ncol* is not in the legend.properties() list for properties to
> be set through legend.set.
>
>
> Thanks for any help,
> Bram
>
>
>
Bram,
As a point of style (and something I got myself caught in when I first
started using matplotlib), it is not a good idea to create a single plotting
function that does everything. In some of my original programs using
matplotlib, I would create large functions that would plot not only a radar
image, the county map, rivers and roads, but would also produce the colorbar
and label the axes and put out a title for the plot. While this seemed like
a good idea at the time because I was able to produce the one kind of image
I wanted, this then became a problem when I needed plots that did not have a
colorbar, or a title, or something else.
So, while it is often nice to have a convenience function that can produce a
particular style plot for you in a single call, it is still a good idea to
break up that call into smaller methods that handle parts of the plot. So,
when you need a plot that has a 2-column legend as opposed to one, you can
still do the regular plot, but then call plt.legend(ncols=2), or anything
else for that matter.
I hope this helps!
Ben Root
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