# [Numpy-discussion] how to round to int (I mean 5.2 to 5 not 5.0)

Sebastian Haase haase@msg.ucsf....
Tue Mar 6 23:26:34 CST 2007

```On 3/6/07, Alan G Isaac <aisaac@american.edu> wrote:
> On Tue, 6 Mar 2007, Sebastian Haase apparently wrote:
> > why does
> > numpy.round(a)
> > return a float ?
>
> Because it works with a copy of a.
>
> >>> help(N.round)
> Help on function round_ in module numpy.core.fromnumeric:
> round_(a, decimals=0, out=None)
>    Returns reference to result. Copies a and rounds to 'decimals' places.
>
>    Keyword arguments:
>        decimals -- number of decimal places to round to (default 0).
>        out -- existing array to use for output (default copy of a).
>
>    Returns:
>        Reference to out, where None specifies a copy of the original array a.
> >>> a = N.random.random((10,))*100
> >>> a
> array([ 45.01971148,   8.32961759,  39.75272544,  79.76986159,
>        23.66331127,  24.25584246,  38.17354106,  16.57977389,
>        50.63676986,  83.15113716])
> >>> b = N.empty((10,),dtype='int')
> >>> N.round(a,out=b)
> array([45,  8, 40, 80, 24, 24, 38, 17, 51, 83])
> >>> b
> array([45,  8, 40, 80, 24, 24, 38, 17, 51, 83])
>
>
> Cheers,
> Alan Isaac
>

Would it be a useful / possible enhancement
dtype argument to round !?

So that if out is not given, but dtype is given (e.g. as N.int)
the "copy-array" is created with that dtype ?

Just a thought -- otherwise I might add it to my personal collection
of "useful" functions.

Thanks,
Sebastian Haase
```