spacing(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'spacing'>¶
Return the distance between x and the nearest adjacent number.
- x : array_like
Values to find the spacing of.
- 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
Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
For other keyword-only arguments, see the ufunc docs.
- out : ndarray or scalar
The spacing of values of x. This is a scalar if x is a scalar.
It can be considered as a generalization of EPS:
spacing(np.float64(1)) == np.finfo(np.float64).eps, and there should not be any representable number between
x + spacing(x)and x for any finite x.
Spacing of +- inf and NaN is NaN.
>>> np.spacing(1) == np.finfo(np.float64).eps True