ndarray.__getitem__ x.__getitem__(y) <==> x[y]

numpy.trim_zeros(filt, trim='fb')

numpy.degrees(x[, out]) = Convert angles from radians to degrees.

chararray.swapaxes(axis1, axis2) Return a view of the array with axis1 and axis2

numpy.ma.diag(v, k=0)

numpy.polynomial.legendre.leggrid3d(x, y, z, c)

numpy.array_repr(arr, max_line_width=None, precision=None, suppress_small=None)

record.conjugate() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from

recarray.mean(axis=None, dtype=None, out=None, keepdims=False) Returns the average of the array elements along given axis

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