On 23/09/2018 13:04, Peter Otten wrote:
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)
...
On 23/09/2018 10:42, Peter Otten wrote:
Shall, Sydney via Tutor wrote:
What I want is the following.
I have:
property_a = [1, 6, 2, 4]
property_b = [62, 73, 31 102]
Result should approximately be:
property_b = [31, 102, 62, 73]
That is both lists change in value in exactly the same order
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,
Shall, Sydney via Tutor wrote:
> What I want is the following.
>
> I have:
> > property_a = [1, 6, 2, 4]
> > property_b = [62, 73, 31 102]
>
> Result should approximately be:
> > property_b = [31, 102, 62, 73]
>
> That is both lists change in value in exactly the same order.
>
> Now, this is e
On 21/09/2018 00:01, Oscar Benjamin wrote:
Sydney wrote and Alan forwarded:
I have, I suspect, an elementary problem that I am too inexperienced to
resolve.
I have two numpy arrays, each representing the values of a specific
property of a set of cells.
Now, I want to associate the two values
Sydney wrote and Alan forwarded:
>
> I have, I suspect, an elementary problem that I am too inexperienced to
> resolve.
>
> I have two numpy arrays, each representing the values of a specific
> property of a set of cells.
>
> Now, I want to associate the two values for each cell, that is for each
