Pythonic way to classify a value to bin-CodePudding

I've went through multiple excamples of data classification however either I didn't get it or those are not applicable in my case.

I have a list of values:

values = [-130,-110,-90,-80,-60,-40]

All I need to do is to classify input integer value to appropriate "bin".

E.g., input=-97 should get index 1 (between -110, to -90) , while input=-140 should get 0.

I don't want to do it if...elif else style since values could be dynamic.

What would be the most pythonic way to do it? I guess no pandas/numpy is necessary

Regards

CodePudding user response：

You can traverse the list of bins and find the index of the first bin boundary that is bigger than the classified value. Then step back to the previous bin number:

val = -97
[i for i,p in enumerate(values) if p > val][0] - 1
# 1

This solution works only for values[0] <= val < values[-1].

CodePudding user response：

Solution with embedded module - bisect.

bisect_left(a, x) return the index to insert into the list a to the left of values greater x than the input. Check index into sotrted list.

If my interpretation of your question is right code like this.

from bisect import bisect_left
values = [-130,-110,-90,-80,-60,-40]

i = bisect_left(values, -97)
if i > 0:
    i -= 1