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()

numpy.array(object, dtype=None, copy=True, order=None, subok=False, ndmin=0) Create an array.

class numpy.core.defchararray.chararray