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LAST UPDATED: DECEMBER 7, 2020

# NumPy trunc() function

In this tutorial, we will cover `numpy.trunc()` function in the Numpy Library of Python.

The `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.

### Syntax of `numpy.trunc()`:

Below we have the required syntax to use this function:

``numpy.trunc(array)  ``

Note: In the above syntax, the array is used to indicate the array elements whose truncated values are to be returned.

Returned Values:

This method mainly returns an array containing the truncated values.

Now it's time to take a look at the examples.

## Example 1:

``````import numpy as np

x = [1.2,-0.344,5.89]
y = np.trunc(x)
print(y)``````

[ 1. -0. 5.]

## Example 2:

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.]

## Summary:

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.

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