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

numpy.c_ = Translates slice objects to concatenation along the second axis. This is short-hand for np.r_['-1,2,0', index

masked_array.mask Mask

numpy.ma.set_fill_value(a, fill_value)

ndarray.dot(b, out=None) Dot product of two arrays. Refer to

generic.min() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses

recarray.sum(axis=None, dtype=None, out=None, keepdims=False) Return the sum of the array elements over the given axis.

numpy.matlib.eye(n, M=None, k=0, dtype=)

numpy.ma.mask_cols(a, axis=None)

chararray.upper()