numpy.linalg.norm(x, ord=None, axis=None, keepdims=False)

numpy.core.defchararray.mod(a, values)

numpy.core.defchararray.swapcase(a)

recarray.compress(condition, axis=None, out=None) Return selected slices of this array along given axis. Refer

ndarray.__oct__() <==> oct(x)

numpy.count_nonzero(a) Counts the number of non-zero values in the array a.

numpy.issubdtype(arg1, arg2)

numpy.polynomial.hermite_e.hermemulx(c)

ndarray.max(axis=None, out=None) Return the maximum along a given axis. Refer to

chararray.zfill(width)