On Fri, 2006-10-13 at 13:59 -0400, Hubert Fitch wrote:
> Hi Everyone!
>
> I have now been able to use Matplotlib on Window XP platfrom! Thanks
> for thiose who helped me to get Enthought Edition installed and
> working!
>
> I have no idea how to do what I have wanted to do for several years. I
Hi Everyone!
I have now been able to use Matplotlib on Window XP
platfrom! Thanks for thiose who helped me to get Enthought Edition
installed and working!
I have no idea how to do what I have wanted to do
for several years. I will try to describe the plot I need.
I need to be able to incl
Hanno,
I wrestled with this one for a while. The attached script is the result
of my effort. The two keys were to define the colormap, and then make
sure that when you call the colormap that the values span the full
range. For example, if you want a data point to be "yellow", and that
color (RGB: 1
Hanno Klemm wrote:
> Louis,
>
> my problem has been solved with your hint to contour and contourf.
>
> Thanks again,
> Hanno
>
>
>
>
Glad that helped although I wasn't sure.
Your post did make me realize that a 3D scatter plot with option to
connect points is a good idea. In my quick glance
> "Ryan" == Ryan May <[EMAIL PROTECTED]> writes:
Ryan> Looking at the FigureImage class in image.py, make_image
Ryan> doesn't seem to have any clue about the magnification
Ryan> parameter. This call is in figure.py, and not the demo
Ryan> code, so it would appear to be a bug
Hi,
I've been playing with the matplotlib demos (very impressive btw.) and
I've found that figimage_demo.py and pcolor_nonuniform.py give
exceptions on my computer. Here's the last part of the backtrace for
pcolor_nonuniform.py:
Traceback (most recent call last):
File
"/usr/lib64/python2.
Yes, actually that's even better for what I want. However, after
manipulating the Z values into a 2d array, I can then just as well use
imshow to view their values.
So I'll stick to the scatter plot approach for unevenly spaced data
and to the contour/imshow approach for evenly gridded data.
Tha
Hanno Klemm wrote:
> Hi Louis,
>
> sorry for being unclear. What I have is a list of data points given in
> the format
>
> x y value
>
> so my array looks like
>
> x_1, y_1, v_1
> x_2, y_2, v_2,
>
> etc.
>
> Now I want to plot a point at (x_i, y_i) and assign to it a color
> according to v_i. The p
Hi,
> Stefan> Now on to my real question. Say I have a screen of 4x4
> Stefan> subplots, created with subplot(221). I'd like to be able
> Stefan> to split the screen as such: __ __
> Stefan> | | |
> Stefan> | | |
> Stefan> |--| |
> Stefan> | | |
> Stefan> |
I think Louis' idea of using contour plots for your problem is not that bad.
It depends, of course, on the actual meaning of your data ...
Assume you understand German? Have a look here:
http://www.python-forum.de/topic-5294.html
Christian
On Friday 13 October 2006 15:19, Hanno Klemm wrote:
>
Hi Louis,
sorry for being unclear. What I have is a list of data points given in
the format
x y value
so my array looks like
x_1, y_1, v_1
x_2, y_2, v_2,
etc.
Now I want to plot a point at (x_i, y_i) and assign to it a color
according to v_i. The problem is, that the values at x and y are g
Christian Meesters wrote:
> Hi,
>
> No stupid question at all! I don't really understand your question, but it
> sounds to me like a scatter plot is what you want. In that case, just have a
> look at the scatter plot demos on the web page (-> screenshots) or in the
> example files.
>
> HTH
> Chr
Hi,
No stupid question at all! I don't really understand your question, but it
sounds to me like a scatter plot is what you want. In that case, just have a
look at the scatter plot demos on the web page (-> screenshots) or in the
example files.
HTH
Christian
On Friday 13 October 2006 14:25, H
Hi,
this is probably a stupid question, but somehow I just can't figure
out how to do it. I have data given in an array with entries:
x y data(x,y)
and thus of shape (#data points, 3)
what is the easiest way with mpl to plot these data points, susch that
they are located at x,y and colored acc
Edit your "~/.matplotlib/matplotlibrc" file to specify the default.
On OSX WXAgg or TkAgg is the best bet.
On 10/12/06, Louis Pecora <[EMAIL PROTECTED]> wrote:
>
> In order get pylab to work on my Mac I have to do the following (found
> by some experimenting):
>
> import matplotlib
> matplotlib.us
Le vendredi 13 octobre 2006 08:26, Derek a écrit :
> Lionel Roubeyrie <[EMAIL PROTECTED]> writes:
> > Hi all,
> > continuing on the windroses, here the third version of windrose.py, with
> > two others styles (line and bar2 (is it what you want Derek?)). I want to
> > know how it's possible to modi
Lionel Roubeyrie <[EMAIL PROTECTED]> writes:
>
> Hi all,
> continuing on the windroses, here the third version of windrose.py, with two
> others styles (line and bar2 (is it what you want Derek?)). I want to know
> how it's possible to modify the legends to be on axes, and not on the figure
>
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