numpy.floor_divide#
- numpy.floor_divide(x1,x2,/,out=None,*,where=True,casting='same_kind',order='K',dtype=None,subok=True[,signature])=<ufunc'floor_divide'>#
Return the largest integer smaller or equal to the division of the inputs.It is equivalent to the Python
//operator and pairs with thePython%(remainder), function so thata=a%b+b*(a//b)up to roundoff.- Parameters:
- x1array_like
Numerator.
- x2array_like
Denominator.If
x1.shape!=x2.shape, they must be broadcastable to a commonshape (which becomes the shape of the output).- 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 default
out=None, locations within it where the condition is False willremain uninitialized.- **kwargs
For other keyword-only arguments, see theufunc docs.
- Returns:
- yndarray
y = floor(x1/x2)This is a scalar if bothx1 andx2 are scalars.
See also
Examples
>>>importnumpyasnp>>>np.floor_divide(7,3)2>>>np.floor_divide([1.,2.,3.,4.],2.5)array([ 0., 0., 1., 1.])
The
//operator can be used as a shorthand fornp.floor_divideon ndarrays.>>>x1=np.array([1.,2.,3.,4.])>>>x1//2.5array([0., 0., 1., 1.])