On Fri, Nov 11, 2011 at 12:40 PM, magurling wrote:
> I updated matplotlib to 1.1.0; both methods work now.
Thanks for letting us know, and glad it works for you now - that
information is useful for those who search for similar error messages
in the future and find this thread.
> I would say "Tha
I updated matplotlib to 1.1.0; both methods work now. I would say "Thanks
Paul and Francesco" but I just read the mailing list etiquette.
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>> On Fri, Nov 11, 2011 at 8:53 AM, Paul Ivanov wrote:
>>> might you be on an old matplotlib.__version__?
On Fri, Nov 11, 2011 at 11:18 AM, magurling wrote:
> This is probably it. I installed by "apt-get install" but keep getting
> version 0.99.3 installed.
> I need to install a more recent vers
This is probably it. I installed by "apt-get install" but keep getting
version 0.99.3 installed.
I need to install a more recent version before I trouble anyone further.
Which version are you using Paul?
Paul Ivanov wrote:
>
> Oops, didn't reply to list last time:
>
> On Fri, Nov 11, 2011 at 8
Thanks Francesco, but I've also tried to use the "draw_frame(False)" method
with no luck.
montefra wrote:
>
> Hi,
>
> I usually do like this
>
> l = ax.legend( (rects1[0], rects2[0]), ('set1', 'set2'))
> l.draw_frame(False)
>
> Cheers,
>
> Francesco
>
> 2011/11/9 magurling :
>>
>> I want a
Oops, didn't reply to list last time:
On Fri, Nov 11, 2011 at 8:53 AM, Paul Ivanov wrote:
> On Tue, Nov 8, 2011 at 4:49 PM, magurling wrote:
>>
>> I want a legend without the black border. I've tried a few things that have
>> been suggested on this forum and elsewhere to no avail. According to w
Hi,
I usually do like this
l = ax.legend( (rects1[0], rects2[0]), ('set1', 'set2'))
l.draw_frame(False)
Cheers,
Francesco
2011/11/9 magurling :
>
> I want a legend without the black border. I've tried a few things that have
> been suggested on this forum and elsewhere to no avail. According to
I want a legend without the black border. I've tried a few things that have
been suggested on this forum and elsewhere to no avail. According to what
I've seen, it should be as simple as:
import matplotlib.pyplot as plt
import numpy as np
N = 5
Means1 = (20, 35, 30, 35, 27)
Means2 = (25, 32, 34,