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# numpy.true_divide

`numpy.``true_divide`(x1, x2[, out])

  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 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.

  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])

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