No project description provided

Navigation

Verified details

These details have been verified by PyPI
Project links
Owner
GitHub Statistics
Maintainers
Avatar for dbranton from gravatar.com dbranton

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License (MIT License Copyright (c) 2024 LINCC Frameworks Permission is hereby granted, free of charge, to a...)
  • Author: LINCC Frameworks
  • Requires: Python >=3.9
  • Provides-Extra: dev
Classifiers
Report project as malware

Project description

nested-pandas

Template

GitHub Workflow Status codecov Read the Docs benchmarks

An extension of pandas for efficient representation of nested associated datasets.

Nested-Pandas extends the pandas package with tooling and support for nested dataframes packed into values of top-level dataframe columns. Pyarrow is used internally to aid in scalability and performance.

image

Nested-Pandas is motivated by time-domain astronomy use cases, where we see typically two levels of information, information about astronomical objects and then an associated set of N measurements of those objects. Nested-Pandas offers a performant and memory-efficient package for working with these types of datasets.

Core advantages being:

  • hierarchical column access
  • efficient packing of nested information into inputs to custom user functions
  • avoiding costly groupby operations

This is a LINCC Frameworks project - find more information about LINCC Frameworks here.

Acknowledgements

This project is supported by Schmidt Sciences.

Project details

Verified details

These details have been verified by PyPI
Project links
Owner
GitHub Statistics
Maintainers
Avatar for dbranton from gravatar.com dbranton

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License (MIT License Copyright (c) 2024 LINCC Frameworks Permission is hereby granted, free of charge, to a...)
  • Author: LINCC Frameworks
  • Requires: Python >=3.9
  • Provides-Extra: dev
Classifiers

Release history Release notifications | RSS feed

0.6.9

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.2

0.5.1

0.5.0

0.4.9

0.4.8

0.4.7

0.4.6

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.9

0.3.8

0.3.7

0.3.6

0.3.5

0.3.4

This version

0.3.3

0.3.2

0.3.1

0.3.0

0.2.2

0.2.1

0.2.0

0.1.3

0.1.2

0.1.1

0.1

Download files

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

Source Distribution

nested_pandas-0.3.3.tar.gz (165.8 kB view details)

Uploaded Source

Built Distribution

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

nested_pandas-0.3.3-py3-none-any.whl (38.2 kB view details)

Uploaded Python 3

File details

Details for the file nested_pandas-0.3.3.tar.gz.

File metadata

  • Download URL: nested_pandas-0.3.3.tar.gz
  • Upload date:
  • Size: 165.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for nested_pandas-0.3.3.tar.gz
Algorithm Hash digest
SHA256 508b1ddb326d83ffa17e853102b71b8d98199ebc5afa45166d1f509b0ccf9280
MD5 98074cf7225a564c51863e3ca6aa2b55
BLAKE2b-256 463cf9028467b530ca1a5d5f35713b2c00c7b8c21468f999a842794de2f929f7

See more details on using hashes here.

Provenance

The following attestation bundles were made for nested_pandas-0.3.3.tar.gz:

Publisher: publish-to-pypi.yml on lincc-frameworks/nested-pandas

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nested_pandas-0.3.3-py3-none-any.whl.

File metadata

  • Download URL: nested_pandas-0.3.3-py3-none-any.whl
  • Upload date:
  • Size: 38.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for nested_pandas-0.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 6c1604058393d34f0eb00cee03f90d7c453539b3f929ca109aeab360862ecc38
MD5 d353bdbbdca2225047848cb7945b46d0
BLAKE2b-256 669f78eee003a60ab04c4b72ea652be34f367b04d6ce7bb46b5a4c73b3f7c502

See more details on using hashes here.

Provenance

The following attestation bundles were made for nested_pandas-0.3.3-py3-none-any.whl:

Publisher: publish-to-pypi.yml on lincc-frameworks/nested-pandas

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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