matplotlib-users

[Matplotlib-users] another reason 'shape' shouldn't exist for pcolor plots?!...

[<seb...@sp...>]

As you know you must set 'shape' attribute
of your coordinate arrays used to generate a pcolor plot.

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.

You should not have ability to set 'shape' your self.
It seems it wouldn't make any sense to *change* the
shape since that is decided by range of your values
already.

Chris
--
_______________________________________

Christian Seberino, Ph.D.
SPAWAR Systems Center San Diego
Code 2872
49258 Mills Street, Room 158
San Diego, CA 92152-5385
U.S.A.

Phone: (619) 553-9973
Fax  : (619) 553-6521
Email: seb...@sp...
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Re: [Matplotlib-users] another reason 'shape' shouldn't exist for pcolor plots?!...

[John H. <jdh...@ac...>]

>>>>> "seberino" == seberino  <seb...@sp...> writes:

    seberino> Imagine your arrays had points (Cartesian position
    seberino> vectors) all over the place at completely random points
    seberino> in space.  The 'shape' of this plot depends on max and
    seberino> min values of each coordinate.  I believe Mathematica
    seberino> plotting would automagically calculate these max and min
    seberino> values and set plot ranges for you.  This is why 'shape'
    seberino> attribute of Matplotlib/Numarray seems awkward and
    seberino> 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.

JDH

[Matplotlib-users] User guide production??

[Gary <pa...@in...>]

John,

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 ...


-gary

Re: [Matplotlib-users] User guide production??

[John H. <jdh...@ac...>]

>>>>> "Gary" == Gary  <pa...@in...> writes:

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

I'm using latex with the excellent listings package-
http://www.atscire.de/index.php?nav=products/listings.  It knows
python syntax, and can do string, comment, keyword highlighting and
more.  

You can see the latex src that created the user's guide by checking
out users_guide from matplotlib CVS, or visiting
http://cvs.sourceforge.net/viewcvs.py/matplotlib/users_guide .  The
README file in that directory contains more information.

For much of the user's guide, I keep the python code in external files
and include them in a special verbatim environment that does syntax
highlighting with , eg

\lstinputlisting[linerange=1-12,caption={Wild and wonderful ways to specify colors;
  see Figure~\ref{fig:color_demo}},
label=lst:color_demo]{code/color_demo.py}

The linerange is used to leave some boilerplate at the beginning and
end of the file (eg some savefig calls to generate the accompanying
figures in eps and png).  This helps insure that the python code in
the manual actually runs, since it is the same code used to generate
the figures for the guide.

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

By "the command line window" do you mean the python shell?  If so,
you'll have to do some special tweaks to handle the >>> prompt, but
the listings packages is very sophisticated, and can ignore prefixes
or add them, etc....  There is a fairly comprehensive manual.  Or did
you mean something else?

JDH                                

Re[2]: [Matplotlib-users] User guide production??

[Alan G I. <ai...@am...>]

On Sat, 15 Jan 2005, John Hunter apparently wrote:
> I'm using latex with the excellent listings package-
> http://www.atscire.de/index.php?nav=products/listings.  It knows
> python syntax, and can do string, comment, keyword highlighting and
> more.

Did you make full matplotlib and/or scipy language definitions?
If so, are they available?
Alan Isaac

PS I found this list in the docs,
which is of course part of the answer to my question.

{axes, axis, bar, cla, clf, clim, close, cohere, colorbar,
    colors, csd, draw, errorbar, figimage, figlegend, figtext, figure,
    fill, gca, gcf, gci, get, get_current_fig_manager,
    get_plot_commands, gray, grid, hist, hlines, hold, imshow, jet,
    legend, load, loglog, pcolor, pcolor_classic, plot, plot_date,
    plotting, psd, raise_msg_to_str, rc, rcdefaults, save, savefig,
    scatter, scatter_classic, semilogx, semilogy, set, specgram, stem,
    subplot, table, text, title, vlines, xlabel, ylabel},

Re: [Matplotlib-users] User guide production??

[John H. <jdh...@ac...>]

>>>>> "Alan" == Alan G Isaac <ai...@am...> writes:

    Alan> Did you make full matplotlib and/or scipy language
    Alan> definitions?  If so, are they available?  Alan Isaac

I did, as you found in your PS, but I choose not to emphasize them
because I found all the extra color distracting.  So I made the emph
color "black", ie the same as the color of plain text, but left the
wordlist there in case I changed my mind

  emphstyle = \color{black},  % color for matplotlib funcs

What do you think?  Would it be useful to colorize the matplotlib
functions in the guide?

JDH