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PO
primarykey
Id
9708079
data
AcceptedAnswerId
0
AnswerCount
0
ClosedDate
CommentCount
0
CommunityOwnedDate
CreationDate
2012-03-14T18:39:00.973
FavoriteCount
0
LastActivityDate
2012-03-14T18:46:32.033
LastEditDate
2017-05-23T12:00:28.890
LastEditorUserId
-1
OwnerUserId
717357
ParentId
9707676
PostTypeId
2
Score
70
ViewCount
0
LastEditorDisplayName
text
Body
You can use a <code>ListedColormap</code> to specify the white and red as the only colors in the color map, and the bounds determine where the transition is from one color to the next: <pre><code>import matplotlib.pyplot as plt from matplotlib import colors import numpy as np np.random.seed(101) zvals = np.random.rand(100, 100) * 10 # make a color map of fixed colors cmap = colors.ListedColormap(['white', 'red']) bounds=[0,5,10] norm = colors.BoundaryNorm(bounds, cmap.N) # tell imshow about color map so that only set colors are used img = plt.imshow(zvals, interpolation='nearest', origin='lower', cmap=cmap, norm=norm) # make a color bar plt.colorbar(img, cmap=cmap, norm=norm, boundaries=bounds, ticks=[0, 5, 10]) plt.savefig('redwhite.png') plt.show() </code></pre> The resulting figure has only two colors: <img src="https://i.stack.imgur.com/SPJ9N.png" alt="enter image description here"> I proposed essentially the same thing for a somewhat different question: <a href="https://stackoverflow.com/q/7229971/717357">2D grid data visualization in Python</a> The solution is inspired by a <a href="http://matplotlib.sourceforge.net/examples/api/colorbar_only.html" rel="noreferrer">matplotlib example</a>. The example explains that the <code>bounds</code> must be one more than the number of colors used. The <a href="http://matplotlib.sourceforge.net/api/colors_api.html#matplotlib.colors.BoundaryNorm" rel="noreferrer"><code>BoundaryNorm</code></a> is a normalization that maps a series of values to integers, which are then used to assign the corresponding colors. <code>cmap.N</code>, in the example above, just defines the number of colors. 
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