On Friday, February 4, 2011, Massimo Di Stefano
wrote:
> Hello All,
>
>
> i'm plotting a 3d colored surface using a 4D array that comes from a .mat file
> using this code :
>
>
> import scipy.io as sio
> import pylab as p
> import mpl_toolkits.mplot3d.axes3d as p3
>
> def loadmatfile(matfile):
>
Hi,
I have some code that's been working for a long time, but it's behaving strange
with current (svn) matplotlib. It's too large to post here, so I will try to
come up with a minimal version reproducing the problem. Meanwhile, I wanted to
ask if anyone would have a clue of what could be going on.
Hello All,
i'm plotting a 3d colored surface using a 4D array that comes from a .mat file
using this code :
import scipy.io as sio
import pylab as p
import mpl_toolkits.mplot3d.axes3d as p3
def loadmatfile(matfile):
matdata = sio.loadmat(matfile)
return matdata
def plot3dcolor(matfile)
On 2/4/2011 3:29 PM, Eric Firing wrote:
On 02/04/2011 12:33 PM, Christoph Gohlke wrote:
On 2/4/2011 2:14 PM, Eric Firing wrote:
On 02/04/2011 11:33 AM, Eric Firing wrote:
On 02/04/2011 10:28 AM, Christoph Gohlke wrote:
On 2/4/2011 11:54 AM, Eric Firing wrote:
On 02/03/2011 05:35 PM, Ch
On 02/04/2011 12:33 PM, Christoph Gohlke wrote:
>
>
> On 2/4/2011 2:14 PM, Eric Firing wrote:
>> On 02/04/2011 11:33 AM, Eric Firing wrote:
>>> On 02/04/2011 10:28 AM, Christoph Gohlke wrote:
On 2/4/2011 11:54 AM, Eric Firing wrote:
> On 02/03/2011 05:35 PM, Christoph Gohlke wrot
On 2/4/2011 2:14 PM, Eric Firing wrote:
> On 02/04/2011 11:33 AM, Eric Firing wrote:
>> On 02/04/2011 10:28 AM, Christoph Gohlke wrote:
>>>
>>>
>>> On 2/4/2011 11:54 AM, Eric Firing wrote:
On 02/03/2011 05:35 PM, Christoph Gohlke wrote:
>
>
> On 2/3/2011 6:50 PM, Eric Firing wrot
On 02/04/2011 11:33 AM, Eric Firing wrote:
> On 02/04/2011 10:28 AM, Christoph Gohlke wrote:
>>
>>
>> On 2/4/2011 11:54 AM, Eric Firing wrote:
>>> On 02/03/2011 05:35 PM, Christoph Gohlke wrote:
On 2/3/2011 6:50 PM, Eric Firing wrote:
> On 02/03/2011 03:04 PM, Benjamin Root wrote
On 02/04/2011 10:28 AM, Christoph Gohlke wrote:
>
>
> On 2/4/2011 11:54 AM, Eric Firing wrote:
>> On 02/03/2011 05:35 PM, Christoph Gohlke wrote:
>>>
>>>
>>> On 2/3/2011 6:50 PM, Eric Firing wrote:
On 02/03/2011 03:04 PM, Benjamin Root wrote:
> Also, not to sound too annoying, but has
On 2/4/2011 11:54 AM, Eric Firing wrote:
> On 02/03/2011 05:35 PM, Christoph Gohlke wrote:
>>
>>
>> On 2/3/2011 6:50 PM, Eric Firing wrote:
>>> On 02/03/2011 03:04 PM, Benjamin Root wrote:
>>>
Also, not to sound too annoying, but has anyone considered the idea of
using compressed arrays
On 02/03/2011 05:35 PM, Christoph Gohlke wrote:
>
>
> On 2/3/2011 6:50 PM, Eric Firing wrote:
>> On 02/03/2011 03:04 PM, Benjamin Root wrote:
>>
>>> Also, not to sound too annoying, but has anyone considered the idea of
>>> using compressed arrays for holding those rgba values?
>>
>> I don't see ho
Dear all again,
I've tried to play with it again, but I couldn't find a solution for
the problem.
For clarity I report an example of what each of the subplots looks like:
> import numpy as np
> import matplotlib.pyplot as plt
> mean = np.array([-0.9206394, -0.90127456, -0.91983625, -0.97765539,
Thu, 03 Feb 2011 16:37:31 -0800, Christoph Gohlke wrote:
[clip]
> My understanding is that if there is a circular reference then the
> refcount will not be zero anyway. In this case _AxesImageBase instances
> and their image caches will never be deleted by the gc (__del__ method
> present or not) u
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