numpy.floor()
numpy.floor
-
numpy.floor(x[, out]) =
-
Return the floor of the input, element-wise.
The floor of the scalar
x
is the largest integeri
, such thati <= x
. It is often denoted as.
Parameters: x : array_like
Input data.
Returns: y : ndarray or 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 instead uses the definition offloor
wherefloor(-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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Licensed under the NumPy License.
https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.floor.html