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# numpy.trunc

`numpy.``trunc`(x[, out]) = <ufunc 'trunc'>

  Return the truncated value of the input, element-wise.

  The truncated value of the scalar x is the nearest integer i which is closer to zero than x is. In short, the fractional part of the signed number x is discarded.

  Parameters : | x : array_like Input data.
  Returns : | y : {ndarray, scalar} The truncated value of each element in x.

  See also

  `ceil`, `floor`, `rint`

  Notes

  New in version 1.3.0.

  Examples

      >>> a = np.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0])
      >>> np.trunc(a)
      array([-1., -1., -0.,  0.,  1.,  1.,  2.])