numpy.rint() in Python

numpy.rint(x[, out]) = ufunc ‘rint’) : This mathematical function round elements of the array to the nearest integer.

Parameters :
array : [array_like] Input array.

Return : An array with all array elements being rounded off, having same type and shape as input.



 
Code #1 : Working

filter_none

edit
close

play_arrow

link
brightness_4
code

# Python program explaining
# rint() function
import numpy as np
  
in_array = [.5, 1.5, 2.5, 3.5, 4.5, 10.1]
print ("Input array : \n", in_array)
  
rintoff_values = np.rint(in_array)
print ("\nRounded values : \n", rintoff_values)
  
  
in_array = [.53, 1.54, .71]
print ("\nInput array : \n", in_array)
  
rintoff_values = np.rint(in_array)
print ("\nRounded values : \n", rintoff_values)
  
in_array = [.5538, 1.33354, .71445]
print ("\nInput array : \n", in_array)
  
rintoff_values = np.rint(in_array)
print ("\nRounded values : \n", rintoff_values)

chevron_right






                        filter_none









Output:


Input array : 
 [0.5, 1.5, 2.5, 3.5, 4.5, 10.1]

Rounded values : 
 [  0.   2.   2.   4.   4.  10.]

Input array : 
 [0.53, 1.54, 0.71]

Rounded values : 
 [ 1.  2.  1.]

Input array : 
 [0.5538, 1.33354, 0.71445]

Rounded values : 
 [ 1.  1.  1.]





 


Code #2 : Working











                                    filter_none




                                    edit

                                    close




                                    play_arrow




                                    link

                                    brightness_4

                                    code
                                




















# Python program explaining 


# rint() function 


import numpy as np 


  


in_array = [1 ,4, 7, 9, 12] 


print ("Input array : \n", in_array) 


  


rintoff_values = np.rint(in_array) 


print ("\nRounded values : \n", rintoff_values) 


  


in_array = [133 ,344, 437, 449, 12] 


print ("\nInput array : \n", in_array) 


  


rintoff_values = np.rint(in_array) 


print ("\nRounded values upto 2: \n", rintoff_values) 


  


in_array = [133 ,344, 437, 449, 12] 


print ("\nInput array : \n", in_array) 


  


rintoff_values = np.rint(in_array) 


print ("\nRounded values upto 3: \n", rintoff_values) 



















                        chevron_right







                        filter_none









Output:


Input array : 
 [1, 4, 7, 9, 12]

Rounded values : 
 [  1.   4.   7.   9.  12.]

Input array : 
 [133, 344, 437, 449, 12]

Rounded values upto 2: 
 [ 133.  344.  437.  449.   12.]

Input array : 
 [133, 344, 437, 449, 12]

Rounded values upto 3: 
 [ 133.  344.  437.  449.   12.]





 

References :  https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.rint.html#numpy.rint

.



          
          
          
          

            

    

        My Personal Notes
        arrow_drop_up
    

    

        
        

            
            
        

    


Recommended Posts:
Mohit Gupta_OMG 🙂
Aspire to Inspire before I expire
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on  the "Improve Article" button below.