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 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 |
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
.
>>> 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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https://docs.scipy.org/doc/numpy-1.14.2/reference/generated/numpy.floor.html