Dear Folks,
I'm finding that hist has problems computing on 2d arrays.
import numpy
import pylab
mu, sigma = 2, 0.5
v = numpy.random.normal(mu,sigma,16)
pylab.hist(v, bins=1000, normed=1)
This works without any problems. But if you try this:
w=v.reshape(40
Tom,
I just went through this, though with version 1.01 of mpl, so it may be
different. You can read the
very long thread at:
http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg20031.html
Those who maintain mpl don't think there is a memory leak. What I found was
that imsh
On 2/3/2011 10:06 AM, Eric Firing wrote:
> On 02/02/2011 10:17 PM, Eric Firing wrote:
>> On 02/02/2011 08:38 PM, Robert Abiad wrote:
>>>
>> [...]
>>> I'll put it in as an enhancement, but I'm still unsure if there is a
>>> bug in
>>>
On 2/2/2011 6:06 PM, Eric Firing wrote:
> On 02/02/2011 03:08 PM, Robert Abiad wrote:
>> On 2/2/2011 3:59 PM, Christoph Gohlke wrote:
>>> On 2/2/2011 3:33 PM, Robert Abiad wrote:
>>>> Hello All,
>>>>
>>>> I'm very new to python, so be
On 2/2/2011 3:59 PM, Christoph Gohlke wrote:
> On 2/2/2011 3:33 PM, Robert Abiad wrote:
>> Hello All,
>>
>> I'm very new to python, so bear with me.
>>
>> I'd like to use python to do my image processing, but I'm running into
>> behavior that
Hello All,
I'm very new to python, so bear with me.
I'd like to use python to do my image processing, but I'm running into behavior
that doesn't make
sense to me. I'm using Windows 7 Pro (64-bit) with 4 gigs of memory, python
2.6.6, and the newest
versions of ipython, pyfits, matplotlib (1.0
