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# numpy.floor

`numpy.``floor`(x[, out])

  Return the floor of the input, element-wise.

  The floor of the scalar x is the largest integer i, such that i . It is often denoted as .

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

  Notes

  Some spreadsheet programs calculate the “floor-towards-zero”, in other words `floor(-2.5) == -2`. NumPy, however, uses the a definition of floor such that floor(-2.5) == -3`.

  Examples

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

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