Python NumPy fix() Function

NumPy fix() Function:

The fix() function of the NumPy module, rounds an array of floats element-wise to the nearest integer towards zero. The rounded values are returned in the floats format.

Syntax:

numpy.fix(x, out=None)

Parameters

x: This is required. It is an array (array-like) having elements of floats that are to be rounded.

out: This is optional. It is the location where the result will be saved. It must have a shape that the inputs broadcast to if it is provided. If None or not given, a newly allocated array is returned.

Return Value:

If out=None, this method returns an array of rounded values. A reference to out is returned if an output array is given.

NumPy fix() Function in Python

Example1

Approach:

Import numpy module using the import keyword.
Pass some random list as an argument to the array() function to create an array.
Store it in a variable.
Print the above-given array.
Pass the above-given array as an argument to the fix() function of the numpy module to get the rounded values of the given array elements to the nearest integers towards zero.
Store it in another variable.
Print the rounded values of the given array elements to the nearest integers towards zero.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Pass some random list as an argument to the array() function to
# create an array. 
# Store it in a variable.
gvn_arry = np.array([[2.3, 6.7],[-8.8, -15.2]])           
# Print the above given array.
print("The above given array is:")
print(gvn_arry)
# Pass the above given array as an argument to the fix() function of the 
# numpy module to get the rounded values of the given array elements
# to the nearest integers towards zero.
# Store it in another variable.
rslt = np.fix(gvn_arry)
# Print the rounded values of the given array elements to the nearest integers
# towards zero.
print("The rounded values of the given array elements to the nearest integers towards zero:")
print(rslt)

Output:

The above given array is:
[[ 2.3 6.7]
 [ -8.8 -15.2]]
The rounded values of the given array elements to the nearest integers towards zero:
[[ 2. 6.]
 [ -8. -15.]]

Example2

Similarly, check for other numbers for the 1D array

Approach:

Import numpy module using the import keyword.
Give the array as static input and store it in a variable.
Print the above-given array.
Pass the above-given array as an argument to the fix() function of the numpy module to get the rounded values of the given array elements to the nearest integers towards zero.
Store it in another variable.
Print the rounded values of the given array elements to the nearest integers towards zero.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Give the array as static input and store it in a variable.  
gvn_arry = [0.53, 1.4, 1.99, 2.2]  
# Print the above given array.
print("The above given array is:")
print(gvn_arry)
# Pass the above given array as an argument to the fix() function of the 
# numpy module to get the rounded values of the given array elements
# to the nearest integers towards zero.
# Store it in another variable.
rslt = np.fix(gvn_arry)  
# Print the rounded values of the given array elements to the nearest integers
# towards zero.
print("The rounded values of the given array elements to the nearest integers towards zero:")
print(rslt)

Output:

The above given array is:
[0.53, 1.4, 1.99, 2.2]
The rounded values of the given array elements to the nearest integers towards zero:
[0. 1. 1. 2.]

NumPy fix() Function in Python

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