Re: [Matplotlib-users] Using bbox_to_anchor to get the legend off of my graph

[Jae-Joon L. <lee...@gm...>]

The guide is based on mpl 0.99.
You may upgrade your mpl,
or take a look at the thread below. it is a workaround that will work
with older version.

-JJ


On Fri, Aug 7, 2009 at 8:29 PM, Eliezer, David<del...@kn...> wrote:
> Hi,
>         I am graphing several time series together on the same graph,
> and so it is important to have a legend.  I am also stacking two graphs
> on top of one another, because some of the data is of a different type.
>
> I wrote the graphing code as follows (pardon the newbie code, this is my
> first matplotlib day…)
>
> fig = plt.figure()
> axU = fig.add_subplot(211)
> axU.set_ylabel('price,$', color='r')
> axU.grid(True)
> axL = fig.add_subplot(212)
> axL.set_ylabel('size, shs', color='b')
> axL.grid(True)
> stepPlotsU = []
> stepPlotsL = []
> for i in range( len( plotvalues ) ) :
>     if axisSide[i] == 'U' :
>         stepPlotsU.append(axU.step( T,plotvalues[i], where='post' ))
>     else :
>         stepPlotsL.append(axL.step( T,plotvalues[i], where='post' ))
>
> lU = axU.legend(tuple(stepPlotsU),tuple(legendArrayU),loc='upper right')
> lL = axL.legend( tuple(stepPlotsL),tuple(legendArrayL),loc='upper right')
> axU.axis([float(TMin),float(TMax),1.1 * minValueU -0.1 *
> maxValueU,1.1*maxValueU - 0.1*minValueU])
> axL.axis([float(TMin),float(TMax),0.8*minValueL,1.2*maxValueL])
> axU.set_xlabel("Time, secs")
> fig.savefig('test.png')
>
> My code works, and produces an almost perfect graph, BUT…
> My problem is that the legend is quite large, and covers up a lot of the
> graph.
> The solution seems to be in the user guide, here
>
> <http://matplotlib.sourceforge.net/users/plotting/legend.html#plotting-guide-legend>
>
> where it shows how to call legend with the kwarg bbox_to_anchor=(1.05,1),
> and in the
> example, the box is nicely moved.
>
> In my case, though, I am calling
>
> axU.legend(tuple(stepPlotsU),tuple(legendArrayU),loc='upper right',
> bbox_to_anchor=(1.05,1))
>
> but it says this is an “unexpected keyword)”, I assume it is saying that
> axis.legend() doesn’t use this
> keyword, even if legend does.
>
>     lL = axL.legend( tuple(stepPlotsL),tuple(legendArrayL),loc='upper
> right',bbox_to_anchor=(1.05,1))
>   File
> "/etg/source/Linux/pkg/Python-2.6.2/lib/python2.6/site-packages/matplotlib/axes.py",
> line 3823, in legend
>     self.legend_ = mlegend.Legend(self, handles, labels, **kwargs)
> TypeError: __init__() got an unexpected keyword argument 'bbox_to_anchor'
>
> Does anyone out there know what I can do to get the legend off my graph?
> And is there a way
> to shrink the legend font size down?  It is way too large, and I can’t find
> anything in the docs about this,
> that axis.legend() will accept…
>
>                                                 Dave
>
> PS:  I am using Python 2.6.2, matplotlib 0.98.5.3, numpy 1.3.0, scipy 0.7.1
>
>
>
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