import numpy as npy
 
# creating a 2-d array
arr1 = npy.array([[1, 3, 5, 7], [2, 4, 6, 8]])
 
# creating a 3-d array
arr2 = npy.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
 
# printing the shape of arrays
# first element of tuple gives
# dimension of arrays second
# element of tuple gives number
# of element of each dimension
print(arr1.shape)
print(arr2.shape)

(2, 4)
(2, 2,2)

import numpy as npy
 
# creating an array of 6 dimension
# using ndim
arr = npy.array([2, 4, 6, 8, 10], ndmin=6)
 
# printing array
print(arr)
 
# verifying the value of last dimension
# as 5
print('shape of an array :', arr.shape)

[[[[[[ 2  4  6  8 10]]]]]]
shape of an array : (1, 1, 1, 1, 1, 5)