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# numpy.floor

`numpy.``floor`(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'floor'>

  Return the floor of the input, element-wise.

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

  Parameters: | x : array_like Input data. out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. where : array_like, optional Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see the ufunc docs.
  Returns: | y : ndarray or scalar The floor of each element in x.

  See also

  `ceil`, `trunc`, `rint`

  Notes

  Some spreadsheet programs calculate the “floor-towards-zero”, in other words `floor(-2.5) == -2`. NumPy instead uses the definition of `floor` where 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.])