polars-as-config 1.0.4

A Python package for using Polars from configuration

Polars as Config

This library allows you to define Polars operations using a configuration format (JSON or Python dict), making it easy to serialize, store, and share data processing pipelines.

For a high-level overview, mission, vision, and a list of features, please see the [[Home|Home]] page of our Wiki. For detailed technical explanations and examples of all features, please visit the [[Technical Features|Technical-Features]] page on our Wiki.

Quick Start

from polars_as_config.config import run_config

# Define your operations in a config
config = {
    "steps": [
        # Read a CSV file
        {"operation": "scan_csv", "kwargs": {"source": "data.csv"}},

        # Add a new column by joining two string columns
        {
            "operation": "with_columns",
            "kwargs": {
                "full_name": {
                    "expr": "str.concat",
                    "on": {"expr": "col", "kwargs": {"name": "first_name"}},
                    "kwargs": {
                        "delimiter": " ",
                        "other": {"expr": "col", "kwargs": {"name": "last_name"}}
                    }
                }
            }
        }
    ]
}

# Run the config
result = run_config(config)

Config Format Overview

The configuration is a JSON object (or Python dictionary) that describes a series of data processing steps. Each step in the "steps" array typically includes:

• "operation": The Polars operation to perform (e.g., "scan_csv", "with_columns", "filter").
• "args": A list of positional arguments for the operation.
• "kwargs": A dictionary of keyword arguments for the operation.

Complex operations and transformations within steps are defined using an expression format.

For a comprehensive guide on the config and expression formats, including various examples like basic operations, string operations, date operations, and advanced features like using variables and custom functions, please see our [[Technical Features|Technical-Features]] Wiki page.

Expression Format Overview

Expressions allow you to define how data should be manipulated. Key components of an expression are:

• "expr": The name of the Polars expression function (e.g., "str.concat", "eq", "gt").
• "on": The column or expression to apply this expression to (acting like self in an object-oriented context).
• "args" and "kwargs": Positional and keyword arguments for the expression function.

Example: pl.col("x").gt(5)

{
  "expr": "gt",
  "on": { "expr": "col", "kwargs": { "name": "x" } },
  "kwargs": { "other": 5 }
}

For more detailed examples and explanations of how to build simple and nested expressions, refer to the [[Technical Features|Technical-Features]] page on our Wiki.

Installation

pip install polars-as-config

Requirements

• Polars

License

See LICENSE for details.