PandaFlex (PFX) - The Next-Generation Data Format
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
Metadata
Release files for pandaflex 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pandaflex-1.0.0.tar.gz | 6.3 kB | Without provenance | Details for pandaflex-1.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pandaflex-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for pandaflex-1.0.0-py3-none-any.whl |
Total release size: 13.5 kB
Release files / pandaflex-1.0.0.tar.gz
| Download URL | pandaflex-1.0.0.tar.gz |
|---|---|
| Size | 6.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
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Release files / pandaflex-1.0.0-py3-none-any.whl
| Download URL | pandaflex-1.0.0-py3-none-any.whl |
|---|---|
| Size | 7.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
|
Security for pandaflex 1.0.0
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