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    <p>It depends what you need to do with the graph once you have it, <a href="http://matplotlib.sourceforge.net/index.html" rel="nofollow noreferrer">Matplotlib</a> allows you to interactively show the graph on the screen, save it in either vector, pdf or bitmap format, and more.</p> <p>If you opt for this framework, <code>imshow</code> will do what you need, here is an example:</p> <pre><code># Just some data to test: from random import gauss a = [[gauss(0, 10) for i in xrange(0, 5)] for j in xrange(0,5)] from pylab import * # or just launch "IPython -pylab" from the command line # We create a custom colormap: myblue = cm.colors.LinearSegmentedColormap("myblue", { 'red': [(0, 1, 1), (1, 0, 0)], 'green': [(0, 1, 1), (1, 0, 0)], 'blue': [(0, 1, 1), (1, 1, 1)]}) # Plotting the graph: imshow(a, cmap=myblue) </code></pre> <p>For further details on the colormap <a href="http://matplotlib.sourceforge.net/api/colors_api.html?highlight=linearsegmentedcolormap#matplotlib.colors.LinearSegmentedColormap" rel="nofollow noreferrer">check this link</a>, and here is the <a href="http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.imshow" rel="nofollow noreferrer">link for imshow</a> - or simply use <code>help(colors.LinearSegmentedColormap)</code> and <code>help(imshow)</code>.</p> <p><a href="http://img522.imageshack.us/img522/6230/bluep.png" rel="nofollow noreferrer">alt text http://img522.imageshack.us/img522/6230/bluep.png</a></p> <p>(note that this is the result with the standard options, you can add a grid, change the filtering and so on).</p> <hr> <p><strong>Edit</strong></p> <blockquote> <p>however I'm looking to display the numbers in the grid</p> </blockquote> <p>To keep it simple:</p> <pre><code>for i in xrange(0,5): for j in xrange(0,5): text(i, j, "{0:5.2f}".format(a[i][j]), horizontalalignment="center", verticalalignment="center") </code></pre>
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    1. CONoice. (15 chars! 15 chars!)
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    2. COThis is great however I'm looking to display the numbers in the grid. The coloring is secondary. Also the coloring here is grandual rather than fixed for each gird square
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    3. COHere you are, of course you have some flexibility in the way the grid is displayed, the format of the numbers, and so on. It would just be too long to explain here, there's a little show-off on their website: http://matplotlib.sourceforge.net/gallery.html
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