numpy.rint
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numpy.rint(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'rint'>
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Round elements of the array to the nearest integer.
- Parameters
-
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xarray_like
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Input array.
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outndarray, None, or tuple of ndarray and None, optional
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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.
-
wherearray_like, optional
-
This condition is broadcast over the input. At locations where the condition is True, the
out
array will be set to the ufunc result. Elsewhere, theout
array will retain its original value. Note that if an uninitializedout
array is created via the defaultout=None
, locations within it where the condition is False will remain uninitialized. - **kwargs
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For other keyword-only arguments, see the ufunc docs.
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- Returns
-
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outndarray or scalar
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Output array is same shape and type as
x
. This is a scalar ifx
is a scalar.
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See also
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fix, ceil, floor,
trunc
Notes
For values exactly halfway between rounded decimal values, NumPy rounds to the nearest even value. Thus 1.5 and 2.5 round to 2.0, -0.5 and 0.5 round to 0.0, etc.
Examples
>>> a = np.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0]) >>> np.rint(a) array([-2., -2., -0., 0., 2., 2., 2.])
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Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.21/reference/generated/numpy.rint.html