cf.BoundedVariable.trunc¶
-
BoundedVariable.trunc(i=False)[source]¶ Truncate the data array.
The truncated value of the scalar
x, is the nearest integeriwhich is closer to zero thanxis. I.e. the fractional part of the signed numberxis discarded.New in version 1.0.
Examples 1: >>> g = f.trunc()
Parameters: - i:
bool, optional If True then update the bounded variable in place. By default a new bounded variable is created. In either case, a bounded variable is returned.
Returns: - out:
cf.BoundedVariable The bounded variable with truncated data array values.
Examples 2: >>> print f.array [-1.9 -1.5 -1.1 -1. 0. 1. 1.1 1.5 1.9] >>> print f.trunc().array [-1. -1. -1. -1. 0. 1. 1. 1. 1.] >>> print f.array [-1.9 -1.5 -1.1 -1. 0. 1. 1.1 1.5 1.9] >>> print f.trunc(i=True).array [-1. -1. -1. -1. 0. 1. 1. 1. 1.] >>> print f.array [-1. -1. -1. -1. 0. 1. 1. 1. 1.]
- i: