OK, I'm trying to the same but in 3D, and there, no documentaion.
I tried to launch axes3d.py to see exactly what I can do, but the example
file does not work. For instance, Axes3D takes two parameters for method
__init__ and only one is provided. Did someone test it ?
I'm trying to use collection as well, but for once I prefer MatLab
simplicity here, it's way to complicated, some arguments must be zipped,
other are passed not in the collection, but when the collection is added to
the subplot, ...
Is there a simple and clear way to do 3D plotting with collections ?
Matthieu
2007/3/12, Matthieu Brucher <[EMAIL PROTECTED]>:
I manage to do what I wanted to do, it was not that easy - the colours
were in an array I had to transform into an array of tuples, the autoscale
did not function, I had to put in the fig.subplot the correct xlim and
ylim -, but now it works like a charm.
Many thanks.
Matthieu
2007/3/9, John Hunter <[EMAIL PROTECTED]>:
>
> On 3/9/07, Matthieu Brucher <[EMAIL PROTECTED]> wrote:
>
> > What I have is a set of points in a numpy.array - for instance size
> (2000,
> > 2) -. What I have as well is a nump.array of size (2000, 3). How can I
> make
> > plot understand that each line of the set points must be painted with
> the
> > corresponding line in the colour array ?
>
> You'll probably want to use a regular poly collection, as in the
> example below. Your array of facecolors can pretty much be whatever
> you want:
>
> from pylab import figure, nx, show, cm
> from matplotlib.collections import RegularPolyCollection
>
>
> fig = figure()
> ax = fig.add_subplot(111)
>
> offsets = nx.mlab.rand(20,2)
> facecolors = [cm.jet(x) for x in nx.mlab.rand(20)]
> black = (0,0,0,1)
>
> collection = RegularPolyCollection(
> fig.dpi,
> numsides=5, # a pentagon
> rotation=0,
> sizes=(50,),
> facecolors = facecolors,
> edgecolors = (black,),
> linewidths = (1,),
> offsets = offsets,
> transOffset = ax.transData,
> )
>
> ax.add_collection (collection)
>
> show()
>
>
>
>
>
>
>
> > Matthieu
> >
> >
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