-
numpy.true_divide(x1, x2[, out]) =
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Returns a true division of the inputs, element-wise.
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: x1 : array_like
Dividend array.
x2 : array_like
Divisor array.
Returns: out : ndarray
Result is scalar if both inputs are scalar, ndarray otherwise.
Notes
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 withfrom __future__ import division
.In Python 3.0,
//
is the floor division operator and/
the true division operator. Thetrue_divide(x1, x2)
function is equivalent to true division in Python.Examples
>>> 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]) >>> 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])
numpy.true_divide()
2017-01-10 18:19:06
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