Lazy Pandas
Lazy Pandas is a Python library that simplifies the use duckdb wrapping the pandas API. This library is not a pandas replacement, but a way to use the pandas API with DuckDB. Pandas is awesome and adopted by many people, but it is not the best tool for datasets that do not fit in memory. So why not give the power of duckdb to pandas users?
Installation
To install Lazy Pandas, you can use pip:
pip install lazy-pandas
Usage
Here is a basic example of how to use Lazy Pandas:
import lazy_pandas as lp
df = lp.read_csv(location, parse_dates=["pickup_datetime"])
df = df[["pickup_datetime", "passenger_count"]]
df["pickup_date"] = df["pickup_datetime"].dt.date
df = df.sort_values("pickup_date")
df = df.collect() # Materialize the lazy DataFrame to a pandas DataFrame
Features
- Lazy evaluation
- SQL support
- Support for DuckDB extensions (e.g., Delta, Iceberg, etc.)
Contribution
Contributions are welcome! Feel free to open issues and pull requests.
License
This project is licensed under the MIT License - see the LICENSE file for details.
1 maintainer
Metadata
1 maintainer
Release files for lazy-pandas 0.1.0
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