another reason 'shape' shouldn't exist for pcolor plots?!...

Imagine your arrays had points (Cartesian position

    > vectors) all over the place at completely random points
    > in space. The 'shape' of this plot depends on max and
    > min values of each coordinate. I believe Mathematica
    > plotting would automagically calculate these max and min
    > values and set plot ranges for you. This is why 'shape'
    > attribute of Matplotlib/Numarray seems awkward and
    > unnecessary to me unless I'm missing something.

There are a variety of issues here.

  - The "shape" attribute comes form Numeric/numarray and is outside
    the realm of matplotlib. matplotlib plots numerix arrays.

  - The pcolor interface is determined by matlab. matlab has a pcolor
    function which I have tried to implement faithfully. To the
    extent that matplotlib has been successful, this is due in part
    because matlab has a good interface for plotting and replicating
    it generally, is a good thing.

  - Storing the "shape" of a data set allows for memory and efficiency
    savings. To take your example of a set of x,y,z points, you are
    right you cold reconstruct rectilinear grid from this data -- one
    might have to use interpolation but it can be done -- but it would
    require a lot of unnecessary computation for data which already
    lives on a grid. So pcolor assumes your data are on a rectilinear
    grid and it is incumbent upon you to get it into that form.
    The meshgrid function takes regularly sampled vector data and
    turns it into a rectilinear grid (this is also a matlab function).
    The matlab griddata function (which is not yet implemented in
    matplotlib) does the same for irregularly sampled data.



I've been meaning to ask you ... how did you produce the very fine User Guide? Is that TeXmacs? LyX? raw LaTeX? ConTeXt? emacs magic?

Is there some slick way of getting the listings from the command line window into the document, especially with the comments colorized? I'm writing a small local guide, and was wondering ...