Skip to main content

Pipeline to Aggregate Data for Optimised Cloud Capabilities

Project description

PADOCC Package

PyPI version

Padocc (Pipeline to Aggregate Data for Optimal Cloud Capabilities) is a Data Aggregation pipeline for creating Kerchunk (or alternative) files to represent various datasets in different original formats. Currently the Pipeline supports writing JSON/Parquet Kerchunk files for input NetCDF/HDF files. Further developments will allow GeoTiff, GRIB and possibly MetOffice (.pp) files to be represented, as well as using the Pangeo Rechunker tool to create Zarr stores for Kerchunk-incompatible datasets.

Example Notebooks at this link

Documentation hosted at this link

Kerchunk Pipeline

Release 1.3.5

Release date: 17 April 2025

See the release notes for details.

This package acknowledges contributions by Matt Brown as a pre-release tester.

Installation

To install this package, clone the repository using git clone (and switch to the MigrationOO branch - git checkout MigrationOO if release v1.3 has not been released.)

Then follow the steps below to install the package with the necessary dependencies.

python -m venv .venv
source .venv/bin/activate
pip install poetry
poetry install

Usage

Please refer to the tests/ scripts for how to use the GroupOperation and ProjectOperation classes.

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

padocc-1.4.3.tar.gz (9.9 MB view details)

Uploaded Source

Built Distribution

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

padocc-1.4.3-py3-none-any.whl (10.0 MB view details)

Uploaded Python 3

File details

Details for the file padocc-1.4.3.tar.gz.

File metadata

  • Download URL: padocc-1.4.3.tar.gz
  • Upload date:
  • Size: 9.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.2 CPython/3.11.9 Linux/5.14.0-570.55.1.el9_6.x86_64

File hashes

Hashes for padocc-1.4.3.tar.gz
Algorithm Hash digest
SHA256 6c0595595bc630999687f42d128e0763dbf188a45f0cb3a1195f2fc360111dbb
MD5 8f7b2352f6c1afbb0203879b83ded63d
BLAKE2b-256 e2039fc5f180d66db39c91cffc1fcdd3baafd8d21f51c04329f130685cca175b

See more details on using hashes here.

File details

Details for the file padocc-1.4.3-py3-none-any.whl.

File metadata

  • Download URL: padocc-1.4.3-py3-none-any.whl
  • Upload date:
  • Size: 10.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.2 CPython/3.11.9 Linux/5.14.0-570.55.1.el9_6.x86_64

File hashes

Hashes for padocc-1.4.3-py3-none-any.whl
Algorithm Hash digest
SHA256 922ab92b219b559f8637d56cf2c270dae06adbfd31fb4d85f08bb5e6129cccec
MD5 5e31c536fce880ebe0e37967b2f544df
BLAKE2b-256 3914e3bfecb3756287efcf3142ae9beaca42b3cd07362e4655c4673daea92fec

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