The
numpy.trunc() is a mathematical function that returns the truncated value of the elements of array. The trunc of the scalar x is the nearest integer i which, closer to zero than x. This simply means that, the fractional part of the signed number x is discarded by this function.
Syntax : numpy.trunc(x[, out]) = ufunc ‘trunc’)
Parameters :
a : [array_like] Input array
Return :
The truncated of each element, with float data-type
Code #1 : Working
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 : Working
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.]
