(A) directly create
d=np.array([[10,11,12],[20,21,22],[30,31,32]])
(B) to create an array of tuples incrementing
d=np.arange(20).reshape(5,4)
(C) to create incremental array specified range
d=np.arange(10,20).reshape(5,2)
(D) create an array of random integer elements
d = np.random.randint (10,99, size = (4,3)) 4 rows and three columns, each element 10 from a random number between (99-1) -
(E) create a whole array 0
d=np.zeros((4,3))
(Vi) create all-0 array based on the existing array of structures
d1 existing array
D = np.zeros_like (d1)
(Vii) create a whole array of 1
np.ones = D ((4,3- ))
or
D = np.ones_like (D1)
(Viii) create an array of the same element
d=np.ones((4,3))*20
(Ix) Other
d = np.linspace (10,20,20) .reshape (4,5) from 10 to 20, 20 to generate an average distribution of sets of data, to generate an array of 4 rows and 5 columns
