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numpy.fix() in Python

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The numpy.fix() is a mathematical function that rounds elements of the array to the nearest integer towards zero. The rounded values are returned as floats.

Syntax : numpy.fix(a, b = None)
Parameters :

a : [array_like] Input array to be floated.
b : [ndarray, optional] Output array.

Return : The array of rounded numbers

 
Code #1 : Working




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


Output :

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

Rounded values : 
 [  0.   1.   2.   3.   4.  10.]

Input array : 
 [0.53, 1.54, 0.71]

Rounded values : 
 [ 0.  1.  0.]

Input array : 
 [0.5538, 1.33354, 0.71445]

Rounded values : 
 [ 0.  1.  0.]

 

Code #2 : Working




# Python program explaining
# fix() function
  
import numpy as np
  
in_array = [1, 4, 7, 9, 12]
print ("Input array : \n", in_array)
  
fixoff_values = np.fix(in_array)
print ("\nRounded values : \n", fixoff_values)
  
  
in_array = [133, 344, 437, 449, 12]
print ("\nInput array : \n", in_array)
  
fixoff_values = np.fix(in_array)
print ("\nRounded values upto 2: \n", fixoff_values)
  
in_array = [133, 344, 437, 449, 12]
print ("\nInput array : \n", in_array)
  
fixoff_values = np.fix(in_array)
print ("\nRounded values upto 3: \n", fixoff_values)


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.]

 



Last Updated : 08 Mar, 2024
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