On Wed, Jul 13, 2011 at 6:49 PM, Benjamin Root wrote:
> On Wednesday, July 13, 2011, Justin McCann wrote:
>> $ ipython -pylab
>> #
>> from matplotlib.collections import LineCollection
>> f = figure()
>> plot()
>> ax = gca()
>> vec = numpy.random.random((10,3))
>> segs = []
>> for i in range(
On Wednesday, July 13, 2011, Justin McCann wrote:
> 2011/7/13 SULSEUNG-JIN :
>> Thanks, Justin
>>
>> I think I made a confusing example code. Here comes new one:
>
> Maybe you just need to force a call to draw() and set your x/y limits.
> This works for me on matplotlib 1.0.1
>
> $ ipython -pylab
If I set like
vec = 100*numpy.random.random((10,3))
it does not shpw lines even with changing the set_xlimit and set_ylimit. I
guess there is something related with scaling.
Jin
---
> Date: Wed, 13 Jul 2011 16:44:01 -0400
> Subject: Re: [Matplotlib-users] Question on LineCollection
", it does not work. Do you have any idea?
Jin.
---
> Date: Wed, 13 Jul 2011 16:44:01 -0400
> Subject: Re: [Matplotlib-users] Question on LineCollection
> From: jne...@gmail.com
> To: sulsj0...@hotmail.com
> CC: matplotlib-users@lists.sourceforge.net
>
> 2011/7/13 S
2011/7/13 SULSEUNG-JIN :
> Thanks, Justin
>
> I think I made a confusing example code. Here comes new one:
Maybe you just need to force a call to draw() and set your x/y limits.
This works for me on matplotlib 1.0.1
$ ipython -pylab
#
from matplotlib.collections import LineCollection
f = fig
, 13 Jul 2011 15:32:33 -0400
> Subject: Re: [Matplotlib-users] Question on LineCollection
> From: jne...@gmail.com
> To: sulsj0...@hotmail.com
> CC: matplotlib-users@lists.sourceforge.net
>
> 2011/7/13 SULSEUNG-JIN :
> > Hi,
> >
> > I'm plotting thousands of
2011/7/13 SULSEUNG-JIN :
> Hi,
>
> I'm plotting thousands of short lines on a plot. Because "plot" and "Line2D"
> are quite slow for this case, I'm trying to use lineCollection. Here comes
> the part of my testing code:
>
> ...
> segs = []
>
> # Manual set for testing
> x2 = np.zero
Hi,
I'm plotting thousands of short lines on a plot. Because "plot" and "Line2D"
are quite slow for this case, I'm trying to use lineCollection. Here comes the
part of my testing code:
...
segs = []
# Manual set for testing
x2 = np.zeros(2,dtype=int)
ys2 = [np.zeros(2,dt