Python trunc - Python NumPy trunc() Function

NumPy trunc() Function:

Python trunc: The trunc() function of the NumPy module is a math function that returns the truncated value of an array’s elements. The nearest integer i which is closer to zero than x, is the trunc of the scalar x. This basically says that this function ignores the fractional part of the signed number x.

Syntax:

numpy.trunc(x, out=None)

Parameters

x: This is required. It is an array (array-like) given as input.

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 returns an array that contains the truncated values. A reference to out is returned if an output array is given.

NumPy trunc() Function in Python

Example1

Here is an example for 1D Arrays

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 trunc() function of the numpy module to get the truncated values of the given array elements. Here it removes the fractional part.
Store it in another variable.
Print the truncated values of the given array elements.
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([9.321, -5.58, 8.8, -3.2, 12.123])           
# Print the above given array.
print("The above given array is:")
print(gvn_arry)
# Pass the above given array as an argument to the trunc() function of the 
# numpy module to get the truncated values of the given array elements.
# Here it removes the fractional part.
# Store it in another variable.
rslt = np.trunc(gvn_arry)
# Print the truncated values of the given array elements.
print("The truncated values of the given array elements:")
print(rslt)

Output:

The above given array is:
[ 9.321 -5.58 8.8 -3.2 12.123]
The truncated values of the given array elements:
[ 9. -5. 8. -3. 12.]

Example2

Here is an example for 2-Dimensional Arrays

Approach:

Import numpy module using the import keyword.
Pass some random list (2-Dimensional) 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 trunc() function of the numpy module to get the truncated values of the given array elements. Here it removes the fractional part.
Store it in another variable.
Print the truncated values of the given array elements.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Pass some random list(2-Dimensional) as an argument to the array() function to
# create an array. 
# Store it in a variable.
gvn_arry = np.array([[-2.3, 6.6],[4.5, -8.9]])           
# Print the above given array.
print("The above given array is:")
print(gvn_arry)
# Pass the above given array as an argument to the trunc() function of the 
# numpy module to get the truncated values of the given array elements.
# Here it removes the fractional part.
# Store it in another variable.
rslt = np.trunc(gvn_arry)
# Print the truncated values of the given array elements.
print("The truncated values of the given array elements:")
print(rslt)

Output:

The above given array is:
[[-2.3 6.6]
 [ 4.5 -8.9]]
The truncated values of the given array elements:
[[-2. 6.]
 [ 4. -8.]]

Python trunc – Python NumPy trunc() Function

NumPy trunc() Function in Python

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