Skip to main content

PandaFlex (PFX) - A new efficient data format for pandas

Project description

PandaFlex (PFX) - The Next-Generation Data Format

PyPI version Python versions License Downloads

PandaFlex (PFX) is a revolutionary new data format designed specifically for pandas that combines the best features of JSON, CSV, and Parquet while adding unique advantages:

Human-readable like JSON and CSV ✅ Schema-aware like Parquet ✅ Columnar storage for efficient processing ✅ Type preservation with automatic inference ✅ Metadata support for rich dataset documentation ✅ Compression-ready for storage efficiency ✅ Fast random access to data ✅ Pandas native with seamless integration

Why PandaFlex?

Feature PFX JSON CSV Parquet
Human-readable
Schema-aware
Type preservation
Columnar storage
Metadata
Compression
Random access
Pandas native

Installation

pip install pandaflex

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pandaflex-1.0.0.tar.gz (6.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pandaflex-1.0.0-py3-none-any.whl (7.2 kB view details)

Uploaded Python 3

File details

Details for the file pandaflex-1.0.0.tar.gz.

File metadata

  • Download URL: pandaflex-1.0.0.tar.gz
  • Upload date:
  • Size: 6.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for pandaflex-1.0.0.tar.gz
Algorithm Hash digest
SHA256 75ce71f6bcacda3f44ebce8d497c89ee0a5c4e2f9214fdf75d252da1b716b368
MD5 213112acf954d92f63aaf3d92bb67209
BLAKE2b-256 80a2f8850127ef3288f6a69d2ec0345f9985380b7128d87c82ba230a7a31f2f6

See more details on using hashes here.

File details

Details for the file pandaflex-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: pandaflex-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 7.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for pandaflex-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 851bb4e111af1233aa8a9564ef307dcef51ea85953c6dc9858db8f997a524380
MD5 b2079290a2c1bc3110a1b2f9b90b66c0
BLAKE2b-256 2070db24a5c8296c1d9b7fa5a18a87850d66acc407a4955c96cc6a065ce57111

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page