numpy.fix() in Python

Last Updated : 08 Mar, 2024

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

Python3

# 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

Python3

# 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.]