Python | Numpy ndarray .__ itruediv __ ()



With Numpy ndarray .__ itruediv __ () we can split a specific value provided as a parameter in ndarray .__ itruediv __ () . The value will be split for each element in the array.

Syntax: ndarray .__ itruediv __ ($ self, value, /)

Return: self / = value

Example # 1:
In this example, we see that each element of the array is divided by the value specified in as a parameter in the ndarray .__ itruediv __ () method. This method will work well for positive, negative and floating point array values.

# import important module into python

import numpy as np

 
# make an array with NumPy

gfg = np.array ([ 1 , 2.5 , 3 , 4.8 , 5 ])

 
# applying the ndarray method .__ itruediv __ () < / code>

print (gfg .__ itruediv __ ( 2 ))

Output:

 [0.5 1.25 1.5 2.4 2.5] 

Example # 2:

# import an important module into python

import numpy as np

 
# make an array with NumPy

gfg = np.array ([[ 1 , 2 , 3 , 4.45 , 5 ],

  [ 6 , 5.5 , 4 , 3 , 2.62 ]])

 
# applying the ndarray method .__ itruediv __ ()

print (gfg .__ itruediv __ ( 3 ))

Exit:

 [[0.33333333 0.66666667 1. 1.48333333 1.66666667] [ 2. 1.83333333 1.33333333 1. 0.87333333]]