Does anyone have a function that converts ranks into a Gaussian? I have an array x:
>> import numpy as np >> x = np.random.rand(5) I rank it: >> x = x.argsort().argsort() >> x_ranked = x.argsort().argsort() >> x_ranked array([3, 1, 4, 2, 0]) I would like to convert the ranks to a Gaussian without using scipy. So instead of the equal distance between ranks in array x, I would like the distance been them to follow a Gaussian distribution. How far out in the tails of the Gaussian should 0 and N-1 (N=5 in the example above) be? Ideally, or arbitrarily, the areas under the Gaussian to the left of 0 (and the right of N-1) should be 1/N or 1/2N. Something like that. Or a fixed value is good too. _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
