CODEWITHSUNDEEP
testingparametersplotmatplotlib
Ricky Robinson
Ricky Robinson

Reputation: 22933

how to plot combination of three parameters

My algorithm has three input parameters:

param1 in {0.1, 0.5, 1.0, 90, 95, +inf}
param2 in {10, 20, 30, 40, 60, 80, 100}
param3 in {0.01, 0.05, 0.10}

I ran tests for all combinations of those input values, resulting in different output. Output values are two: # of rejected samples, # of non-rejected samples. Clearly, the sum gives the total # of samples.

How can I plot all this to have a visual confirmation of which parameters yield the maximum # of non-rejected samples / total # of samples fraction?

I could use matplotlib, but I don't know how to proceed when there's more than one parameter involved.

Upvotes: 0

Views: 396

Answers (1)

Carl F.
Carl F.

Reputation: 7056

With any luck, you have results in a 3-dimensional array. so long as param1 has a reasonable number of elements, I would use imshow like so:

max_val = 2000
plot_shape=(3,3)
for n, img in enumerate(data_cube):
    ax = subplot(plot_shape[0], plot_shape[1], n+1)
    title('Results for Param3=%0.3f'%param3[n])
    ax.set_xticks(range(len(params3)))
    ax.set_xticklabels([str(x) for x in params3])
    ax.set_yticks(range(len(params2)))
    ax.set_yticklabels([str(x) for x in params2])
    xlabel('param3')
    ylabel('param2')
    imshow(img, vmin=0, vmax=max_val)

Upvotes: 0

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