numpy.trunc#

numpy.trunc(x,/,out=None,*,where=True,casting='same_kind',order='K',dtype=None,subok=True[,signature])=<ufunc'trunc'>#

Return the truncated value of the input, element-wise.

The truncated value of the scalarx is the nearest integeri whichis closer to zero thanx is. In short, the fractional part of thesigned numberx is discarded.

Parameters:

xarray_like

Input data.

outndarray, None, or tuple of ndarray and None, optional

A location into which the result is stored. If provided, it must havea shape that the inputs broadcast to. If not provided or None,a freshly-allocated array is returned. A tuple (possible only as akeyword argument) must have length equal to the number of outputs.

wherearray_like, optional

This condition is broadcast over the input. At locations where thecondition is True, theout array will be set to the ufunc result.Elsewhere, theout array will retain its original value.Note that if an uninitializedout array is created via the defaultout=None, locations within it where the condition is False willremain uninitialized.

**kwargs

For other keyword-only arguments, see theufunc docs.

Returns:

yndarray or scalar

The truncated value of each element inx.This is a scalar ifx is a scalar.

See also

ceil,floor,rint,fix

Examples

Try it in your browser!

>>>importnumpyasnp>>>a=np.array([-1.7,-1.5,-0.2,0.2,1.5,1.7,2.0])>>>np.trunc(a)array([-1., -1., -0.,  0.,  1.,  1.,  2.])

Go BackOpen In Tab