How to draw a matrix sparsity pattern with color code in python?

colors, matplotlib, python, sparse-matrix

Solution

You could use `imshow`:

d=Matrix.todense()
plt.imshow(d,interpolation='none',cmap='binary')
plt.colorbar()

Gives:

Problem

I am using spy from matplotlib.pyplot to draw the sparsity pattern of a csc_matrix from scipy.sparse like this ``` >>> import scipy.sparse as sprs >>> import matplotlib.pyplot as plt >>> Matrix=sprs.rand(10,10, density=0.1, format='csc') >>> plt.spy(Matrix) >>> plt.show() ``` I want to do the same but give colors to the matrix elements according to their magnitude. Is there a simple way to make spy do this? If not, is there another way to do it?

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