Am 17.09.2011 18:49, schrieb Kurt Mueller:
> Am 17.09.2011 um 15:38 schrieb Jae-Joon Lee:
>> Thanks for reporting this.
>> I opened a pull request that I believe fixes this problem.
>> https://github.com/matplotlib/matplotlib/pull/472
> Thank you very much!
>> Please test this if you can.
> I hope
The dpi value, which can be overridden, will determine the size of the
output image. It looks to me like you just want the output to always
be the same size as your input image, so use imsave() instead of
imshow() followed by savefig() for this:
i.e. just do
map = Basemap(..)
pilImg = Image.op
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Hi,
I am new to matplotlib so I may not have found the right answer because I am
looking in the wrong places.
I wrote a script to draw lines on a 800x600 pixels GIF background map. The
output image I get is 620x450. Could someone let me know what I am doing wrong?
Code Snippet:
map = Basemap
Hi,
I am trying to create an ndarry subclass for vector calculations. The
result is not what I intent:
import numpy as np
class Vector(np.ndarray):
def __abs__(self):
return(np.sqrt(sum(self**2)))
V = Vector([1,2,3])
print np.sqrt(sum(self**2))
print abs(V)
I do not und
On Thu, Sep 22, 2011 at 2:31 PM, Andreas Matthias <
andreas.matth...@gmail.com> wrote:
> I would like to plot a masked array with plot_surface().
> But unlike imshow() which really plots the masked data,
> plot_surface() only plots the non-masked data.
>
> How can I plot the masked array?
>
> Ciao
I would like to plot a masked array with plot_surface().
But unlike imshow() which really plots the masked data,
plot_surface() only plots the non-masked data.
How can I plot the masked array?
Ciao
Andreas
import numpy as np
import pylab as mpl
from mpl_toolkits.mplot3d import axes3d
x = np.a
I'm not able to reproduce the problem: I get the watermark in both png
and pdf output. This was with git master.
What version of matplotlib are you using? Can you send (off-list) the
png and pdf files so I can have a look at your output?
Mike
On 09/21/2011 10:28 AM, Dave Hirschfeld wrote:
>
On Wed, Sep 21, 2011 at 9:28 PM, Benjamin Root wrote:
> On Wed, Sep 21, 2011 at 2:00 PM, Armando Serrano Lombillo <
> arser...@gmail.com> wrote:
>
>> Hello I have a dat set like this one
>> a=[[x1, y1, cat1], [x2, y2, cat1], ..., [x8, y8, cat1], [x9, y9, cat2],
>> ..., [x34, y34, cat2], [x35, y35
Dear all,
I have some large data sets that I need to evaluate graphically. I
find the graph navigation tools (left-click and drag to pan,
right-click and drag to zoom) in matplotlib absolutely superb and I'd
like to be able to better use them with the large data sets.
At the moment, I'm achievin
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