RandomState.multivariate_normal(mean, cov[, size]) Draw random samples from a multivariate normal

MaskedArray.swapaxes(axis1, axis2)

Legendre.trim(tol=0)

poly1d.__call__(val)

numpy.ma.masked_all_like(arr)

chararray.ljust(width, fillchar=' ')

RandomState.lognormal(mean=0.0, sigma=1.0, size=None) Draw samples from a log-normal distribution. Draw

numpy.matlib.rand(*args)

numpy.mask_indices(n, mask_func, k=0)

numpy.ediff1d(ary, to_end=None, to_begin=None)