numpy.floor¶

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

Return the floor of the input, element-wise.

The floor of the scalarx is the largest integeri, such thati <= x. It is often denoted as\lfloor x \rfloor.

Parameters:

x:array_like Input data. out:ndarray, 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 orNone,a freshly-allocated array is returned. A tuple (possible only as akeyword argument) must have length equal to the number of outputs. where:array_like, optional Values of True indicate to calculate the ufunc at that position, valuesof False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see theufunc docs.

Returns:

y:ndarray or scalar The floor of each element inx.This is a scalar ifx is a scalar.

See also

ceil,trunc,rint

Notes

Some spreadsheet programs calculate the “floor-towards-zero”, in otherwordsfloor(-2.5)==-2. NumPy instead uses the definition offloor wherefloor(-2.5) == -3.

Examples

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