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floor(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])

The floor of the scalar x is the largest integer :None:None:`i`, such that :None:None:`i <= x`. It is often denoted as $\lfloor x \rfloor$ .

Notes

Some spreadsheet programs calculate the "floor-towards-zero", where floor(-2.5) == -2 . NumPy instead uses the definition of floor where :None:None:`floor(-2.5) == -3`. The "floor-towards-zero" function is called fix in NumPy.

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: This condition is broadcast over the input. At locations where the condition is True, the :None:None:`out` array will be set to the ufunc result. Elsewhere, the :None:None:`out` array will retain its original value. Note that if an uninitialized :None:None:`out` array is created via the default out=None , locations within it where the condition is False will remain uninitialized.
**kwargs :: For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs> .

Returns

y : ndarray or scalar: The floor of each element in x. This is a scalar if x is a scalar.

Return the floor of the input, element-wise.

Examples

This example is valid syntax, but we were not able to check execution

>>> 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.])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.ma.core.floor numpy.ma.core.ceil numpy.ma.core.remainder numpy.around numpy.fix numpy.ma.core.floor_divide

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