How to Optimize a Function for Classifying Float Values in Bins?

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Asked By FloatingFeather42 On

I'm working on a function that classifies float values into buckets ranging from 0 to 45, with each bucket covering a span of 5. Any float above 45 falls into a larger bucket. I've implemented this using list comprehension and the 'chr' function to assign letters from A to I based on the value. Currently, I'm using this function within a Polars LazyFrame, which seems convenient, but I'm concerned about memory efficiency. Would it be better to switch to multiple if statements, a switch case, or another looping method for better memory usage?

1 Answer

Answered By CautiousCoder93 On

You might want to share a minimal working example of your function to get more specific feedback. It's always helpful to see the actual code you're using!

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