ndarray.put(indices, values, mode='raise') Set a.flat[n] = values[n] for all n in indices. Refer

ndarray.__ipow__ x.__ipow__(y) <==> x**=y

ndarray.__ixor__ x.__ixor__(y) <==> x^=y

ndarray.astype(dtype, order='K', casting='unsafe', subok=True, copy=True) Copy of the array, cast to a specified type.

ndarray.setflags(write=None, align=None, uic=None) Set array flags WRITEABLE, ALIGNED, and UPDATEIFCOPY, respectively

ndarray.__invert__ x.__invert__() <==> ~x

ndarray.__truediv__ x.__truediv__(y) <==> x/y

ndarray.__idiv__ x.__idiv__(y) <==> x/=y

ndarray.__pow__(y[, z]) <==> pow(x, y[, z])

ndarray.fill(value) Fill the array with a scalar value.