numpy.putmask(a, mask, values) Changes elements of an array based on conditional and input values. Sets a.flat[n]

numpy.roll(a, shift, axis=None)

ndarray.flatten(order='C') Return a copy of the array collapsed into one dimension.

numpy.polynomial.legendre.legtrim(c, tol=0)

numpy.fft.fftfreq(n, d=1.0)

flatiter.next x.next() -> the next value, or raise StopIteration

DataSource.open(path, mode='r')

HermiteE.__call__(arg)

numpy.random.standard_gamma(shape, size=None) Draw samples from a standard Gamma distribution. Samples are

numpy.nanmean(a, axis=None, dtype=None, out=None, keepdims=False)