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np. allclose
2022-07-05 08:58:00 【Wanderer001】
Reference resources np.allclose - cloud + Community - Tencent cloud
numpy Of allclose Method , Compare the two array Is every element equal , Default in 1e-05 Within the error range of
>>> help(np.allclose)
Help on function allclose in module numpy.core.numeric:
allclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False)
Returns True if two arrays are element-wise equal within a tolerance.
The tolerance values are positive, typically very small numbers. The
relative difference (`rtol` * abs(`b`)) and the absolute difference
`atol` are added together to compare against the absolute difference
between `a` and `b`.
If either array contains one or more NaNs, False is returned.
Infs are treated as equal if they are in the same place and of the same
sign in both arrays.
Parameters
----------
a, b : array_like
Input arrays to compare.
rtol : float
The relative tolerance parameter (see Notes).
atol : float
The absolute tolerance parameter (see Notes).
equal_nan : bool
Whether to compare NaN's as equal. If True, NaN's in `a` will be
considered equal to NaN's in `b` in the output array.
.. versionadded:: 1.10.0
Returns
-------
allclose : bool
Returns True if the two arrays are equal within the given
tolerance; False otherwise.
```
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