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NumPy – expand_dims. This function expands the array by inserting a new axis at the specified position. Two parameters are required by this function.

numpy.expand_dims(arr, axis)

Where,

Example of NumPy expand_dims

import numpy as np 
x = np.array(([1,2],[3,4])) 

print 'Array x:' 
print x 
print '\n'  
y = np.expand_dims(x, axis = 0) 

print 'Array y:' 
print y 
print '\n'

print 'The shape of X and Y array:' 
print x.shape, y.shape 
print '\n'  
# insert axis at position 1 
y = np.expand_dims(x, axis = 1) 

print 'Array Y after inserting axis at position 1:' 
print y 
print '\n'  

print 'x.ndim and y.ndim:' 
print x.ndim,y.ndim 
print '\n'  

print 'x.shape and y.shape:' 
print x.shape, y.shape

The output of the above program would be as follows −

Array x:
[[1 2]
 [3 4]]

Array y:
[[[1 2]
 [3 4]]]

The shape of X and Y array:
(2, 2) (1, 2, 2)

Array Y after inserting axis at position 1:
[[[1 2]]
 [[3 4]]]

x.ndim and y.ndim:
2 3

x.shape and y.shape:
(2, 2) (2, 1, 2)