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# Return the truncated value of a specific array element in Numpy

To return the truncated value of a specific element, use the index value in the **numpy.trunc()** method in Python Numpy.

The function returns the truncated value of each element in x. This is a scalar if x is a scalar. The truncated value of the scalar x is the nearest integer i which is closer to zero than x is. In short, the fractional part of the signed number x is discarded.

The out is a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

The condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default out=None, locations within it where the condition is False will remain uninitialized.

## Steps

At first, import the required library −

import numpy as np

Create an array using the array() method −

arr = np.array([39.5, 57.4, 100.8, 34.9, 76.5, -59.8])

Display the array −

print("Array...

", arr)

Get the type of the array −

print("

Our Array type...

", arr.dtype)

Get the dimensions of the Array −

print("

Our Array Dimensions...

", arr.ndim)

Get the number of elements of the Array −

print("

Number of elements...

", arr.size)

Return the truncated value of the array elements, element-wise −

print("

Result (trunc)...

",np.ceil(arr))

To return the truncated value of a specific element, use the index value in the numpy.trunc() method in Python Numpy −

print("

Result (trunc of a specific element)...

",np.trunc(arr[3]))

## Example

import numpy as np # Create an array using the array() method arr = np.array([39.5, 57.4, 100.8, 34.9, 76.5, -59.8]) # Display the array print("Array...

", arr) # Get the type of the array print("

Our Array type...

", arr.dtype) # Get the dimensions of the Array print("

Our Array Dimensions...

", arr.ndim) # Get the number of elements in the Array print("

Number of elements...

", arr.size) # Return the truncated value of the array elements, element-wise print("

Result (trunc)...

",np.ceil(arr)) # To return the truncated value of a specific element, use the index value in the numpy.trunc() method in Python Numpy print("

Result (trunc of a specific element)...

",np.trunc(arr[3]))

## Output

Array... [ 39.5 57.4 100.8 34.9 76.5 -59.8] Our Array type... float64 Our Array Dimensions... 1 Number of elements... 6 Result (trunc)... [ 40. 58. 101. 35. 77. -59.] Result (trunc of a specific element)... 34.0

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