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copied!<pre><code>>>> M = NP.empty((5, 5), dtype=NP.object) # a 2D NumPy array >>> M array([[None, None, None, None, None], [None, None, None, None, None], [None, None, None, None, None], [None, None, None, None, None], [None, None, None, None, None]], dtype=object) </code></pre> <p>Now you can insert sequences, without getting the <em>ValueError</em> </p> <pre><code>>>> M[2,2] = NP.array([4, 3, 5]) >>> M array([[None, None, None, None, None], [None, None, None, None, None], [None, None, [4 3 5], None, None], [None, None, None, None, None], [None, None, None, None, None]], dtype=object) >>> M[2,2] array([4, 3, 5]) </code></pre> <p>The other part of the OP--passing an Array like this to Matplotlib's <strong><em>imshow</em></strong>, is a problem.</p> <p><em><strong>imshow</em></strong> visually represents a 2D array as a cloud of points positioned on the canvas according to their x, y indices. The value at that index is indicated according to different colors and color intensities based on a colormap which maps color to array value. Therefore, valid arguments for <em>imshow's</em> data parameter are:</p> <ul> <li>NumPy 2D arrays</li> </ul> <p>NumPy arrays of higher dimension in two (and only these two AFAIK) which imshow can interpret as</p> <ul> <li><p>NumPy 2D array of <strong><em>rgb tuples</em></strong> (x, y, r, b, g)</p></li> <li><p>NumPy 6D arrays, which are interpreted as a 2D array of <strong><em>rgba tuples</em></strong> (x, y, r, g, b, a)</p></li> </ul>

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