- nlcpy.floor_divide = <ufunc 'nlcpy_floor_divide'>
Computes the element-wise floor division of the inputs.
It is equivalent to the Python
//operator and pairs with the Python
remainder()), function so that
a = a % b + b * (a // b)up to roundoff.
- x1, x2array_like
x1 is a numerator array and x2 is a denominator array. If
x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).
- outndarray or None, optional
A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
- wherearray_like, optional
This condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default
out=None, locations within it where the condition is False will remain uninitialized.
For other keyword-only arguments, see the section Optional Keyword Arguments.
y = floor(x1/x2). If x1 and x2 are both scalars, this function returns the result as a 0-dimension ndarray.
In Python 3.0 or later,
//is the floor division operator and
/is the true division operator. The
floor_divide(x1,x2)function is equivalent to the floor division in Python.
>>> import nlcpy as vp >>> vp.floor_divide(7,3) array(2) >>> vp.floor_divide([1., 2., 3., 4.], 2.5) array([0., 0., 1., 1.])