![]() Ideas how to reuse the given solution with arbitrary data? In practical cases this is not always the case. Linewidth=0, antialiased=False, shade=False)Īs far as I can see, and this applies to all matplotlib-demos, the variables X, Y and Z are nicely prepared. ![]() Gx, Gy = np.gradient(Z) # gradients with respect to x and y The solution to the initial problem is: # Python-matplotlib Commands What I would like to know is how to apply the suggested solution to a bunch of data (4 columns), e.g.: 0.1 0 0.1 2.0
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