pXpY

pxpy is an open-source Python library designed to read, write, and manipulate data stored in the PX file format. The PX format is a compact, column-oriented representation used to store structured data such as time series and instrument measurements, enabling efficient exchange and processing in scientific workflows. pxpy provides a high-level API to parse PX files into Python objects, access metadata, and iterate over data blocks.

Key features include streaming parsing for large files, data-type handling for numeric, string, and date fields, and utilities to validate against common PX schemas. The library supports converting PX data to standard Python structures and formats, including lists, dictionaries, pandas DataFrames, CSV, and JSON. Writing support allows constructing PX files from Python data structures, with options to set metadata like creator, description, and date.

pxpy is designed to integrate with the broader Python data ecosystem. It offers a lightweight command-line interface for common tasks such as inspecting file contents or converting data formats, and it can be embedded in scripts and data pipelines. The project emphasizes simplicity, clear documentation, and straightforward error handling to help users adopt PX-based workflows.

pxpy is typically distributed via PyPI under an open-source license. Development occurs on a public repository with community contributions and issue tracking. If you have a different PX-related project in mind, providing a link or domain would help tailor the article more precisely.