Hi John
Your suggestions worked perfectly. Thanks!
As an aside, I had been composing my image as a GTK Pixbuf object (via
the gtk.gdk.pixbuf_new_from_data method: hacking about, poking values
into a big array of char) and I did notice that the
gtk.gdk.Pixbuf.get_pixels_array method didn't give me
On Tue, Jun 13, 2006 at 06:21:22AM -0500, John Hunter wrote:
> setting the xscale and yscale to 'log' should work fine, as long as
> you make sure the xaxis and yaxis do not contain nonpositive limits.
> For an MxN image, the default limits are 0..N-1 and 0..M-1 and the 0
> will break the log trans
I have a very silly question: I have data in the format
x y data(x,y)
and now I would like to plot a point with a color corresponding to
data at position x,y (pretty much like with imshow). Unfortunately,
the data does not always fill a rectangular grid, so that using imshow
just as it is, does
axvline does not appear to work correctly. It appears to change the plot axes.
For example:
import matplotlib
import pylab as PLT
>>> x
array([ 0., 1., 2., 3.])
>>> y
array([ 2., 3., 5., 6.])
>>> PLT.plot(x,y)
[]
>>> PLT.axis([0.0,3.0,0.0,5.0])
[0.0, 3.0, 0.0, 5.0]
>>> PLT.axvline(1.5)
On 6/15/06, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
> I often want to plot matrices, with the axes labeled according to the
> matrix index. I.e. the top-lefthand element should be (0,0) and the
> bottom-righthand element (rows,columns). Setting the extent does
> work, i.e.
>
> ax.imshow(im
> "Tony" == Tony Mannucci <[EMAIL PROTECTED]> writes:
Tony> axvline does not appear to work correctly. It appears to
Tony> change the plot axes. For example:
Thanks for the bug-report and example code, this is now fixed in svn
2481. To fix this, I also added support for selective au
On Thu, Jun 15, 2006 at 11:02:47AM -0600, Fernando Perez wrote:
> On 6/15/06, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
> > I often want to plot matrices, with the axes labeled according to the
> > matrix index. I.e. the top-lefthand element should be (0,0) and the
> > bottom-righthand elemen
On 6/15/06, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
> That's exactly what I need -- except that it forces the creation of a
> new figure, which doesn't play well with subplot. Specifying a figure
> number is, like it says in the docstring, rather unpredictable. Is
> there an easy way to w
Fernando Perez wrote:
> On 6/15/06, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
>
>
>>That's exactly what I need -- except that it forces the creation of a
>>new figure, which doesn't play well with subplot. Specifying a figure
>>number is, like it says in the docstring, rather unpredictable.
I recently upgraded to 0.87.2 with numpy 0.9.6 on Mac OSX 10.4.6.
The first time I tried to generate a plot with a legend I got this
error. This same code
did not produce and error the last time I ran it with an earlier
version.
Is this fixed already in svn?
--> 432legend(loc = 'lower r
> "Eric" == Eric Firing <[EMAIL PROTECTED]> writes:
Eric> One can control the aspect ratio with Axes.set_aspect(), so
Eric> making a new figure is not really necessary now.
Fernando, if you haven't played with the new aspect handling courtesy
of Mark Bakkar and Eric, you should give i
Hi all
I have some data with enumerated values in an array. Values are like
1,2,7,9 spread around in the array. I want to plot those values so that
I can see the 'regions' in my data, then I want to overlay this with
some contour lines drawn from other data.
I want to be able to specify the color
Hi, Numpy has a logspace function, so it may be a bad idea to create a function in pylab with the same name that does something slightly different.def logspace(start,stop,num=50,endpoint=True,base=10.0): """Evenly spaced numbers on a logarithmic scale.
Computes int(num) evenly spaced exponen
Hi all
I came across this page: http://www.scipy.org/Cookbook/Matplotlib/UsingTex
which mentions using LaTeX to generate labels on plots in Matplotlib.
What I only discovered recently is that you don't need this 'usetext=1'
thing in order to create captions on plots that include subscripts, etc.
By the way, I had some success with this, but my approach is really
inefficient. Perhaps someone could suggest how I can improve the following:
import matplotlib.numerix as nx
from numarray import ma
def enumimage(A,colors):
"""
Create an image from a matrix of enumerated values
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