numpy.divide(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'true_divide'>
Returns a true division of the inputs, elementwise.
Instead of the Python traditional ‘floor division’, this returns a true division. True division adjusts the output type to present the best answer, regardless of input types.
Parameters: 


Returns: 

The floor division operator //
was added in Python 2.2 making //
and /
equivalent operators. The default floor division operation of /
can be replaced by true division with from
__future__ import division
.
In Python 3.0, //
is the floor division operator and /
the true division operator. The true_divide(x1, x2)
function is equivalent to true division in Python.
>>> x = np.arange(5) >>> np.true_divide(x, 4) array([ 0. , 0.25, 0.5 , 0.75, 1. ])
>>> x//4 array([0, 0, 0, 0, 1])
>>> from __future__ import division >>> x/4 array([ 0. , 0.25, 0.5 , 0.75, 1. ]) >>> x//4 array([0, 0, 0, 0, 1])
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.divide.html