numpy.flipud(m)

ndarray.dump(file) Dump a pickle of the array to the specified file. The array can be read back with pickle.load or numpy

recarray.copy(order='C') Return a copy of the array.

matrix.cumprod(axis=None, dtype=None, out=None) Return the cumulative product of the elements along the given axis.

chararray.encode(encoding=None, errors=None)

recarray.var(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the variance of the array elements, along given

MaskedArray.tofile(fid, sep='', format='%s')

class numpy.matrix

matrix.itemset(*args) Insert scalar into an array (scalar is cast to array?s dtype, if possible) There must be at

matrix.sum(axis=None, dtype=None, out=None)