I have a list:
d = [23,67,110,25,69,24,102,109]
how can i group nearest values with dynamic gap, and create a tuple like this, what is the fastest method? :
[(23,24,25),(67,69),(102,109,110)]
I have a list:
d = [23,67,110,25,69,24,102,109]
how can i group nearest values with dynamic gap, and create a tuple like this, what is the fastest method? :
[(23,24,25),(67,69),(102,109,110)]
Like
d = [23,67,110,25,69,24,102,109]
d.sort()
diff = [y - x for x, y in zip(*[iter(d)] * 2)]
avg = sum(diff) / len(diff)
m = [[d[0]]]
for x in d[1:]:
if x - m[-1][0] < avg:
m[-1].append(x)
else:
m.append([x])
print m
## [[23, 24, 25], [67, 69], [102, 109, 110]]
Fist we calculate an average difference between sequential elements and then group together elements whose difference is less than average.