Hi Peter,
just get the legend handlers and labels with
handles,labels = ax.get_legend_handles_labels()
then create an empty plot with axes `axe` and do
axe.legend(handles, labels, loc=loc)
If you want to hide the axis:
axe.xaxis.set_visible(False)
axe.yaxis.set_visible(False)
and/or
for v in axe.spines.values():
v.set_visible(False)
Enjoy,
Fra
2014-01-31 Peter Van Wieren <p...@sbcglobal.net>
>
> I would like to ask if there is a way to print only the legend box of a
> figure.
>
> The motiviation for wanting to do this is a work around to the problem of
> having the legend box obscuring data without resorting to "outside"
> placement of the legend. The idea here is that matplotlib would provide
> two images:
>
> 1. PNG file of figure without legend.
> 2. PNG file of legend only.
>
> The end user would import both images into another tool (e.g. microsoft
> power point) and arrange figure and legend interactively for the final
> product.
>
> Example follows:
>
> import numpy as np
> import matplotlib.pyplot as plt
>
> x = np.linspace(0, 1)
> fig, (ax) = plt.subplots(nrows=1)
> ax.plot( x , np.sin(2*np.pi*x) , label='Curve1')
> ax.plot( x , np.sin(2*np.pi*x+0.2) , label='Curve2')
> ax.set_title('Set default color cycle to rgby')
> plt.savefig('without_legend.png',dpi=75)
>
> if True: # Difficult to automatically make a location choice robust
> ax.legend(loc='upper left') # in this particular case, a poor choice for
> placement
> else:
> ax.legend(loc='upper right') # in this particular case, a good choice
> for placement
>
> plt.savefig('with_legend.png',dpi=75)
>
> # worst case solution could be post processing these files with imagemagick
> # begin with "composite without_legend.png with_legend.png -compose
> difference alpha_channel.png"
> # ... then filter with alpha_channel.png against with_legend.png
> # ... finally crop this to get "legend_only.png"
>
>
>
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