NumPy trunc() function
In this tutorial, we will cover
numpy.trunc() function in the Numpy Library of Python.
numpy.trunc() function of Python is used to return the truncated value of the input array elements.
It is important to note that the truncated value t of input value x should be the nearest integer which is closer to zero rather than to x
With the help of this function, the fractional part of any signed number is discarded.
Below we have the required syntax to use this function:
Note: In the above syntax, the array is used to indicate the array elements whose truncated values are to be returned.
This method mainly returns an array containing the truncated values.
Now it's time to take a look at the examples.
Let's start with a basic example.
import numpy as np x = [1.2,-0.344,5.89] y = np.trunc(x) print(y)
[ 1. -0. 5.]
Below we have the code snippet let us take a look at that:
import numpy as np inp = [123.22,23.4,0.89] print("The Input array is :") print(inp) x = np.trunc(inp) print("The Output array is :") print(x)
The Input array is :
[123.22, 23.4, 0.89]
The Output array is :
[123. 23. 0.]
This tutorial was all about
numpy.trunc() mathematical function in the Numpy library. We had also covered its syntax, parameters as well as the value returned by this function.