Use pylab magic:
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%pylab inline
Read the Dakota tabular data file.
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dat_file = '../examples/1-rosenbrock/dakota.dat'
data = numpy.loadtxt(dat_file, skiprows=1, unpack=True, usecols=[0,2,3,4])
data
Plot the path taken in the vector parameter study.
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plot(data[1,], data[2,], 'ro')
xlim((-2, 2))
ylim((-2, 2))
xlabel('$x_1$')
ylabel('$x_2$')
title('Planview of parameter study locations')
Plot the values of the Rosenbrock function at the study locations.
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plot(data[-1,], 'bo')
xlabel('index')
ylabel('Rosenbrock fuction value')
title('Rosenbrock function values at study locations')
What's the minimum value of the function over the study locations?
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min(data[-1,:])