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 <ramercer@...287...>

Date: October 27, 2011 6:12:50 AM PDT

To: matplotlib-users@lists.sourceforge.net

Subject: [Matplotlib-users] Legend and proxy artistsHi

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