Numpy

numpy_matrix_library2.py

## returning 0's matrix
nm.zeros((2,3))

#[Output]:
#matrix([[0., 0., 0.], 
#       [0., 0., 0.]])


## it returns diagonal matrix i.e, 1's at diagonal and 0's elsewhere.
nm.eye(n=3, M=4, k=-1, dtype='int')

#[Output]:
#matrix([[0, 0, 0, 0],
#        [1, 0, 0, 0],
#        [0, 1, 0, 0]])

##4. rand()
## It return the random value
nm.rand(2)

#[Output]:
#matrix([[0.31396025, 0.05886812]])


## Multidimensional matrix
nm.rand(2,3)

#[Output]:
#matrix([[0.866112  , 0.38662401, 0.32563106],
#        [0.80981318, 0.59824592, 0.85585548]])


## One can also pass the tuple for shape of the output.
nm.rand((2,3))

#[Output]:
#matrix([[0.27994566, 0.58220104, 0.76714032],
#        [0.44271856, 0.69717546, 0.16341003]])