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 <= x. It is often denoted as $\lfloor x \rfloor$ .

Parameters:

Parameters:	x : array_like Input data.
Returns:	y : ndarray or scalar The floor of each element in `x`.

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 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.])

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.floor.html

doc_NumPy

2025-01-10 15:47:30

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