Hi. Making progress. Caveat for what follows: the last version of Matlab I
used was like 6 or 7, I think - it's been a little while - so for all I know,
the colormap manipulation API I've been able to discover in the current MPL
does correspond closely to the same thing in the current Matlab.
Mike, just a question about the new transforms backend -- can the input
dimensionality be greater than 2? (I realize functions to do so probably
don't currently exist, but the question is about the transforms
machinery itself.)
-Andrew
Michael Droettboom wrote:
> I'm not very familiar with how ax
Chris,
The point is that contouring and gridding are two entirely separate
operations--and this is true in general, not just for matplotlib.
Contouring algorithms--at least all the ones I have looked at--work with
data on a regular grid. There are many ways to map scattered data to a
regular
On Friday 20 June 2008 5:40:04 pm Bryan Fodness wrote:
> Is there a way to get the colorbar to work with an axes instance.
>
> ax2 = axes([0.2, 0.1, 0.6, 0.8], axisbg='w')
> ax2.fill([x1,x2,x2,x1], [y1,y1,y2,y2], fc='None', ec='r')
> ax2.pcolormesh(X, Y, newa, shading='flat', cmap=cm.YlOrRd)#gray_r
Scott,
I think that for interactive work such as you describe, ipython -pylab
pretty well solves the problem, and provides window behavior like matlab's.
Ipython is a big help when working with python even when you are not
plotting. It is easy to install, and you don't have to learn much to
st
Bryan Fodness wrote:
> Is there a way to get the colorbar to work with an axes instance.
>
> ax2 = axes([0.2, 0.1, 0.6, 0.8], axisbg='w')
> ax2.fill([x1,x2,x2,x1], [y1,y1,y2,y2], fc='None', ec='r')
> ax2.pcolormesh(X, Y, newa, shading='flat', cmap=cm.YlOrRd)#gray_r)
> ax2.axvline(x=0, color='gra
Bryan Fodness wrote:
> Is there a way to get the colorbar to work with an axes instance.
>
> ax2 = axes([0.2, 0.1, 0.6, 0.8], axisbg='w')
> ax2.fill([x1,x2,x2,x1], [y1,y1,y2,y2], fc='None', ec='r')
> ax2.pcolormesh(X, Y, newa, shading='flat', cmap=cm.YlOrRd)#gray_r)
> ax2.axvline(x=0, color='gra
I may be a bit thick, but I am having a heck of a time figuring out how to
use contour() properly.
Specifically, I do not see why the z dimension should be a 2d array.
It should only take a set of x,y,z
coordinates to produce a surface -- what is the extra dimension for? More
importantly, how
Daniel Ashbrook wrote:
>
> The issue is that the
> show() command takes over the main thread of execution, so I can't have
> my listening process running. Essentially I need to:
>
> 1) Pop up a figure()
> 2) Start the drawing loop
> 3) Start the socket listener
> 4) When the listener gets com
Is there a way to get the colorbar to work with an axes instance.
ax2 = axes([0.2, 0.1, 0.6, 0.8], axisbg='w')
ax2.fill([x1,x2,x2,x1], [y1,y1,y2,y2], fc='None', ec='r')
ax2.pcolormesh(X, Y, newa, shading='flat', cmap=cm.YlOrRd)#gray_r)
ax2.axvline(x=0, color='gray', linestyle='--')
ax2.axhline(y=0
On Fri, Jun 20, 2008 at 6:14 PM, sordnay <[EMAIL PROTECTED]> wrote:
>
> Hi all,
> I'm trying to plot in 2D, 3 variables from time series, instead of volume I
> want color for the third variable.
> I have partial success with a scatter plot, but I'm unable to manage the
> colorbar so it represents z
Hi all,
I'm trying to plot in 2D, 3 variables from time series, instead of volume I
want color for the third variable.
I have partial success with a scatter plot, but I'm unable to manage the
colorbar so it represents z values,
I needed to sort the variables and it's getting a bit ugly, so I thoug
On 19-Jun-08, at 11:30 AM, John Hunter wrote:
> On Wed, Jun 18, 2008 at 2:42 PM, David Warde-Farley <[EMAIL PROTECTED]
> > wrote:
>
>> One more related thing: is there any way to retrieve the size of a
>> textbox
>> in figure coordinates, something like
>> ax.get_ymajorticklabels[0].get_width(
In theory, yes, but it's a completely untested theory. Each transform
class has an input_dims and output_dims member that defines the input
and output dimensions. So theoretically, you could create a perspective
or orthogonal projection that maps from 3D to 2D.
Cheers,
Mike
Andrew Straw wrot
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