matplotlib Code

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@header@
<h2>Goals for matplotlib</h2>

Here is a growing list, and status updates, of things that I think
need to be done to achieve a useful, publication quality 2D plotting
library.  If you have any suggestions, additions or comments,
email me @myemail@ or the mailing list.<p>

<br>
<table border=2 cellpadding=2 cellspacing=0>

<tr >
  <th width=50%>
	Goals
  </th>
  <th width=50%>
	Status
  </th>
</tr>


<tr>
    <td>
	Allow arbitrary location, size and number of axes
    </td>

    <td @td_done@>

	Done. Use <a href=matplotlib.matlab.html#-subplot>subplot</a> for making
	regular grids of axes and <a href=matplotlib.matlab.html#-axes>axes</a>
	for custom placment

    </td>
</tr>

<tr>
    <td>
	Allow full control of axes lines, tick lines, and grid lines.
        Eg, location, color, line style, line width, etc, should be
        under full control
    </td>

    <td @td_done@>

	Almost done.  You can specify the linewidth and color of the
	tick lines, axis lines and grid lines.  You now have full
	control of the line attributes for the axes lines.  
    </td>
</tr>

<tr> <td> Support arbitrary location, rotation and fonts for axis text
   </td> <td @td_partial@> Partially done.  This is backend dependent.
   The GD and PS backends support arbitrary rotations.  The GTK
   backend still only supports 'horizontal' and 'vertical'.  Full font
   support (font family, font angle, font weight, font size) is
   available for all backends; see <a href=fonts.html>fonts</a>.</td>

</tr>
    <td>
       Plot legends
    </td>

    <td @td_done@>
	Done, matlab compatible legends added in CVS after 0.29.  See
	<a href=examples/legend_demo.py>legend_demo.py</a> and the <a
	href=matplotlib.matlab.html#-legend>legend</a> command.
    </td>

</tr>


<tr>
    <td>
      Allow high resolution printing to a variety of output formats
    </td>

    <td @td_done@> As of version 0.29, matplotlib now supports
      multiple backend renders, including GTK, GD and postscript with
      arbitrary resolutions-- see <a href="backends.html">output
      devices</a> </td> </tr>

<tr> <td> Allow interactive control of plot </td>

    <td @td_partial@> An improved interactive command line environment
        is provided interactive2.py, which allows you to use
        matplotlib interactively from the prompt, though there are
        still some problems with this interpreter in the way it
        handles cutting and pasting of text directly into the
        interpreter.  Also, it would be nicer if there were a way to
        do this w/o forcing users to use a custom interpreter, but I
        don't see how to right now.  See also interactive.py.</td>
        </tr>

<tr>

    <td>
      Support a richer char set for labeling, eg greek letters, as
      well as sub and superscripts
    </td>

    <td @td_remaining@>
      No progress here yet.  It would be nice to support a large
      subset of LaTeX commands, as matlab does.
    </td>
</tr>

<tr>
    <td>
      Support log scaling	
    </td>

    <td @td_done@> Added as of matplotlib-0.30.  See <a
	href=matplotlib.matlab.html#-semilogx>semilogx</a>, <a
	href=matplotlib.matlab.html#-semilogy>semilogy</a>, and <a
	href=matplotlib.matlab.html#-loglog>loglog</a>, and demo <a
	href=examples/log_demo.py>log_demo.py</a> </td> </tr>


<tr>
    <td>
	Add more patch commands, like pcolor
    </td>

    <td @td_partial@> <a
	href=matplotlib.matlab.html#-pcolor>pcolor</a> added.  See<a
	href=screenshots.html#pcolor_demo>pcolor_demo</a> and <a
	href=screenshots.html#mri_with_eeg>mri_with_eeg</a> for
	screenshots and <a
	href=examples/pcolor_demo.py>pcolor_demo.py</a> for some
	example code.  On the list to do: contour.	
    </td>
</tr>


<tr>
    <td>
	Add 3D plot commands
    </td>

    <td @td_remaining@>
	After all the above goals are met (around matplotlib 1.0),
	I'll add 3D plotting with a VTK backend.
    </td>
</tr>


</table>

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