[Tutor] Fwd: How to roughly associate the values of two numpy arrays, or python lists if necessary

[Peter Otten]

Peter Otten wrote:

> Maybe you could sort the already-sorted property_b again, with some random
> offset:
> 
>>>> import itertools
>>>> def wiggled(items, sigma):
> ...     counter = itertools.count()
> ...     def key(item): return random.gauss(next(counter), sigma)
> ...     return sorted(items, key=key)
> ...

One more example:

>>> s = """\
... But my actual scientific problem requires that the correlation should be 
... only approximate and I do not know how close to to a perfect correlation 
... it should be. So, I need to introduce some lack of good correlation when 
... I set up the correlation. How to do that is my problem.
... """
>>> print(textwrap.fill(" ".join(wiggled(s.split(), 2))))
But actual my scientific the requires that problem should only
correlation approximate be and not do I know how close to a perfect to
correlation should it So, be. I to lack need some introduce
correlation I of good when set correlation. up How to the that do
problem. is my

:)