Adam,

Your example is not complete.  I don't understand the value variable that you 
are iterating over, or how it affects the different plots you are making.

I would guess that the problem is that you have a list of tuples of handles for 
value_plot, instead of a list of handles.  Note that each of the plot_date 
commands returns a length=1 tuple of lines.  So you should pick out the first 
item of each tuple, and you probably only need the 1st item of the value_plot 
list, since you only give 3 labels.

-Sterling

PS Sorry if somebody already responded; I get my list mail in digests.

> 
> 
> From: Adam Mercer <ramer...@gmail.com>
> Date: October 27, 2011 6:12:50 AM PDT
> To: matplotlib-users@lists.sourceforge.net
> Subject: [Matplotlib-users] Legend and proxy artists
> 
> 
> Hi
> 
> I have recently updated to Matplotlib-1.1.0 and now one of my scripts
> displays the following warning:
> 
> UserWarning: Legend does not support [[<matplotlib.lines.Line2D object
> at 0x1026296d0>]]
> Use proxy artist instead.
> 
> http://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist
> 
> The link it refers to doesn't seem to be much help, and I can't see
> what I need to do in order to correctly display the legend. Below is
> the appropriate plotting section of my script, could anyone offer
> suggestions as to how to correctly display the legend?
> 
> # plot size, scale by golden ratio
> fig = pyplot.figure()
> fig.set_size_inches(10, 10 / ((1 + math.sqrt(5)) / 2))
> date_axes = fig.add_subplot(111)
> 
> # setup secondary axes
> value_axes = date_axes.twinx()
> 
> # set plot labels
> date_axes.set_xlabel("Date")
> date_axes.set_ylabel("Time")
> value_axes.set_ylabel("Value")
> 
> # produce plot
> morning_plot = date_axes.plot_date(morning[:,0], morning[:,1], 'bo-', ms=4)
> evening_plot = date_axes.plot_date(evening[:,0], evening[:,1], 'go-', ms=4)
> value_plot = []
> for v in value:
>  value_plot.append(value_axes.plot_date(w[:,0], w[:,1], 'ro-', ms=4))
> 
> # legend
> date_axes.legend(([morning_plot], [evening_plot], [value_plot]),
>    ("Morning", "Evening", "Value"),
>    numpoints=1, loc=0, borderpad=1, shadow=True, fancybox=True)
> 
> # save plot
> fig.savefig(plot_file)
> 
> Cheers
> 
> Adam
> 


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