gt;
>>
>>
>> On Jul 9, 2011, at 8:45 AM, Chris Petrich wrote:
>>
>>> I agree, very instructional example.
>>> As for the width of the tick lines, line 78
>>> line.set_linewidth(1)
>>> should probably read
>>>
ewidth(1)
>> should probably read
>> line.set_markeredgewidth(1)
>> though.
>>
>> Chris
>>
>>> Date: Fri, 8 Jul 2011 16:18:52 -0600
>>> From: G?khan Sever
>>> Subject: Re: [matplotlib-devel] Contributed example
>>> To: N
rowprops=arrowprops)
x = women_cases[0]
axes_right.annotate('NEW CASES', xy=(.9*x, .5), xycoords='data',
horizontalalignment='left', fontsize= 10,
xytext=(+40, -3), textcoords='offset points',
arrow
I agree, very instructional example.
As for the width of the tick lines, line 78
line.set_linewidth(1)
should probably read
line.set_markeredgewidth(1)
though.
Chris
> Date: Fri, 8 Jul 2011 16:18:52 -0600
> From: G?khan Sever
> Subject: Re: [matplotlib-devel] Contributed exa
I think this illustration deserves its places amongst the mpl gallery
--probably somewhere towards the very beginning.
Thanks for the well documented code Nicolas.
On Fri, Jul 8, 2011 at 2:09 AM, Nicolas Rougier wrote:
>
>
> Hi,
>
>
> I've been playing with matplotlib to check if it can produce g
Hi,
I've been playing with matplotlib to check if it can produce graphics like:
http://www.thebuzzmedia.com/wp-content/uploads/2010/03/anandtech-nvidia-geforce-480-ati-benchmark2.png
Here is the result:
http://www.loria.fr/~rougier/tmp/benchmark.png
and the script (as attachment)
I do not
