Steven D'Aprano wrote:
> Marco, you don't have to use median_low and median_high if you don't
> like them, but they aren't any worse than any other choice for
> calculating order statistics. All order statistics (apart from min and
> max) require you to sometimes make a choice between returning a data
> value or interpolating between two data values, and in general there are
> lots of choices.
Of course, but usually they are unbiased solutions by default. On the contrary,
if you don't have numeric iterables, you have to choice between median_low and
median_high, that introduce bias. And since the module is called `statistics` I
think it's very important to not introduce biases. My function correct this.
Furthermore, with my function you can simply pass this function as key
parameter for sorted:
@functools.cmp_to_key
def iliadSort(a, b):
if a < b:
res = -1
elif not b == b:
res = -1
else:
res = 0
return res
and NaNs are moved at the end of the list.
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