Skip to content
Related Articles

Related Articles

Improve Article

Compute the Reciprocal for all elements in a NumPy array

  • Difficulty Level : Easy
  • Last Updated : 29 Aug, 2020

In this article, let’s discuss how to compute the reciprocal for all the elements of a given NumPy array.

Method 1: Through reciprocal_arr = 1/arr  statement, we can convert every element of arr to it reciprocal and saved it to reciprocal_arr.But there is a catch, you will be encountered with an error if any element of “arr” be zero. So be careful not to pass any array to reciprocal_arr which contains 0.

Example 1:

Python






# PROGRAM TO FIND RECIPROCAL OF EACH 
# ELEMENT OF NUMPY ARRAY
import numpy as np
  
lst = [22, 34, 65, 50, 7]
arr = np.array(lst)
reciprocal_arr = 1/arr
  
print(reciprocal_arr)

Output:

[0.04545455 0.02941176 0.01538462 0.02       0.14285714]

Example 2:

Python




# PROGRAM TO FIND RECIPROCAL OF EACH
# ELEMENT OF NUMPY ARRAY
import numpy as np
  
tup = (12, 87, 77, 90, 57, 34)
arr = np.array(tup)
reciprocal_arr = 1/arr
  
print(reciprocal_arr)

Output:

[0.08333333 0.01149425 0.01298701 0.01111111 0.01754386 0.02941176]

Method 2: Using the numpy.reciprocal() method

Numpy library also provides a simple method to find reciprocal of every element of the array. The reciprocal() method can be used easily to create a new array each contains reciprocal of each element.



Example 1:

Python3




#  program to compute the Reciprocal
# for all elements in a given array
# with the help of numpy.reciprocal()
import numpy as np
  
arr = [2, 1.5, 8, 9, 0.2]
reciprocal_arr = np.reciprocal(arr)
  
print(reciprocal_arr)

Output:

[0.5        0.66666667 0.125      0.11111111 5.        ]

Example 2:

Python3




#  program to compute the Reciprocal for
# all elements in a given array with the
# help of numpy.reciprocal()
import numpy as np
  
arr = (3, 6.5, 1, 5.9, 8)
reciprocal_arr = np.reciprocal(arr)
  
print(reciprocal_arr)

Output:

[0.33333333 0.15384615 1.         0.16949153 0.125     ]

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course




My Personal Notes arrow_drop_up
Recommended Articles
Page :