commands = (
    ('axes', 'create a new axes'),
    ('axis', 'set or return the current axis limits'),
    ('bar', 'make a bar chart'),
    ('close', 'close a figure window'),
    ('cohere', 'make a plot of coherence'),
    ('csd', 'make a plot of cross spectral density'),
    ('errorbar', 'make an errorbar graph'),
    ('figure', 'create or change active figure'),
    ('gca', 'return the current axes'),
    ('gcf', 'return the current figure'),
    ('get', 'get a handle graphics property'),
    ('grid', 'set the axis grid lines on or off'),	
    ('hist', 'make a histogram'),
    ('loglog', 'a log log plot'),
    ('pcolor', 'generate pseudo color plots'),
    ('plot', 'make a line plot'),
    ('psd', 'make a plot of power spectral density'),
    ('savefig', 'save the current figure'),
    ('scatter', 'make a scatter plot'),
    ('semilogx', 'log x axis'),
    ('semilogy', 'log y axis'),
    ('set', 'set a handle graphics property'),
    ('show', 'show the figures'),
    ('subplot', 'make a subplot (numrows, numcols, axesnum)'),
    ('text', 'add some text at location x,y to the current axes'),
    ('title', 'add a title to the current axes'),
    ('xlabel', 'add an xlabel to the current axes'),
    ('ylabel', 'add a ylabel to the current axes'),
)

@header@

<h2>Matplotlib</h2> 

  matplotlib is a pure python 2D plotting library with a Matlab&reg
  syntax which produces publication quality figures using in a variety
  of hardcopy formats (PNG, JPG, TIFF, PS) and interactive GUI
  environments (WX, GTK) across platforms.  matplotlib can be used in
  python scripts, interactively from the python shell (ala matlab or
  mathematica), in web application servers generating dynamic charts,
  or embedded in GTK or WX applications; see <a
  href=backends.html>backends</a>.<p>

  matplotlib trys to make easy things easy and hard things possible.
  You can generate plots, histograms, power spectra, bar charts,
  errorcharts, scatterplots, etc, with just a few lines of code.  For
  example, to make a histogram of data in x, you simply need to type

  <pre>
  >>> hist(x, 100)   # use 100 bins
  </pre>

  For the power user, you have full control of line styles, font
  properties, axes properties, etc, via an object oriented interface
  or via a handle graphics interface familiar to matlab users.  A
  summary of the goals of matplotlib and the progress so far can be
  found <a href=goals.html>here</a>.<p>

  The existing plotting commands have a high degree of Matlab&reg
  compatibility.<p>

  <br>
  <table @default_table@>
  <caption><h3>Plotting commands</h3></caption>
  <tr><th>Function</th><th>Description</th></tr>
  + for command, desc in commands:
    <tr>
      <th align="left">
        <a href=matplotlib.matlab.html#-@command@>@command@</a>
      </th>

      <td align="left">
        @desc@
      </td>

    </tr>
  - 
  </table>
@footer@