  # numpy.trunc () in Python

numpy.trunc (x [, out]) = ufunc & # 39; trunc & # 39;): This math function returns the truncated value of array elements. The scalar truncation x is the closest integer i that is closer to zero than x. It simply means that this function discards the fractional part of the signed number x.

Parameters:

a: [array_like] Input array

Return:
The truncated of each element, with float data-type

Code # 1: Work

 ` # Python program explaining ` ` # trunc () function `   ` import ` ` numpy as np `   ` in_array ` ` = ` ` [. ` ` 5 ` `, ` ` 1.5 ` `, ` ` 2.5 ` `, ` ` 3.5 ` `, ` ` 4.5 ` `, ` ` 10.1 ` `] ` ` print ` ` (` ` "Input array:" ` `, in_array) `   ` truncoff_values ​​` ` = ` ` np.trunc (in_array) ` ` print ` ` (` ` "Rounded values:" ` `, truncoff_values) `   ` `  ` in_array ` ` = ` ` [. ` ` 53 ` `, ` ` 1.54 ` `,. 71 ] `` print ( "Input array:" , in_array)   truncoff_values ​​ = np.trunc (in_array) print ( "Rounded values:" , truncoff_values)   in_array = [. 5538 , 1.33354 ,. 71445 ] print ( " Input array: " , in_array)    truncoff_values ​​ = np.trunc (in_array) print ( "Rounded values:" , truncoff_values) `

Output:

` Input array: [0.5, 1.5, 2.5, 3.5, 4.5, 10.1] Rounded values: [0. 1. 2. 3. 4. 10.] Input array: [0.53, 1.54, 0.71] Rounded values: [0. 1. 0.] Input array: [0.5538, 1.33354, 0.71445] Rounded values: [0. 1. 0.] `

Code 2: Work

 ` # Python program explaining ` ` # trunc () function `   ` import ` ` numpy as np ` ` `  ` in_array ` ` = ` ` [` ` 1.67 ` `, ` ` 4.5 ` `, ` ` 7 ` `, ` ` 9 ` ` , ` ` 12 ` `] ` ` print ` ` (` ` "Input array:" ` `, in_array) `   ` truncoff_values ​​` ` = ` ` np.trunc (in_array) ` ` print ` ` (` ` "Rounded values:" ` `, truncoff_v alues) `     ` in_array ` ` = ` ` [` ` 133.000 ` `, ` ` 344.54 ` `, ` ` 437.56 ` `, ` ` 44.9 ` `, ` ` 1.2 ` `] ` ` print ` ` (` ` "Input array:" ` `, in_array) `   ` truncoff_values ​​` ` = ` ` np. trunc (in_array) ` ` print ` ` (` ` " Rounded values ​​upto 2: "` `, truncoff _values) `

Output:

` Input array: [1.67, 4.5, 7, 9, 12] Rounded values: [1. 4. 7. 9. 12.] Input array: [133.0, 344.54, 437.56, 44.9, 1.2] Rounded values ​​upto 2: [133. 344. 437. 44. 1.] `