polars-interval-match 0.1.3

A Python extension module for matching intervals in Polars DataFrames

Polars Interval Match

This package enables the matching of a Polars Series of numerical values (currently only Float64 is supported) to a Series of interval strings (using standard interval notation).

Installation

You can install the package using pip:

pip install polars-interval-match

Usage

Here is a basic example of how to use the match_intervals function:

import polars as pl
from polars_interval_match import match_intervals

# Create a Polars Series of values
values = pl.Series("values", [1.5, 2.5, 3.5, 4.5])

# Create a Polars Series of interval strings
intervals = pl.Series("intervals", ["[1.0, 2.0]", "(2.0, 3.0]", "[3.0, 4.0)", "(4.0, 5.0]"])

# Match values to intervals
matched = match_intervals(values, intervals)

# Show the result
print(matched)

The match_intervals function matches each value in the values Series to the corresponding interval in the intervals Series. The intervals are specified using standard interval notation:

• [a, b] denotes an interval that includes both endpoints a and b (is closed on both the left and the right).
• (a, b] denotes an interval that excludes the start point a but includes the endpoint b (is closed on the right only).
• [a, b) denotes an interval that includes the start point a but excludes the endpoint b (is closed on the left only).
• (a, b) denotes an interval that excludes both endpoints a and b (is open on both the left and the right).

The function returns a new Polars Series where each value is replaced by the interval it matches.