numpy.floor — NumPy v1.11 Manual (original) (raw)

numpy.floor(_x_[, _out_]) = <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 $\lfloor x \rfloor$ .

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 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.])