Skip to main content

Operational data processing pipeline for GNSS-Transmissometry

Project description

canvod-ops

Composable preprocessing operations pipeline for GNSS-Transmissometry.

Part of the canVODpy ecosystem.

Overview

canvod-ops provides a modular Op-based pipeline for applying preprocessing steps to GNSS datasets. Operations are composable and chainable via Pipeline.

Key components

Component Purpose
Op Abstract base class for all operations
GridAssignment Assigns satellite observations to equal-area grid cells
Pipeline Chains operations and returns PipelineResult

Installation

uv pip install canvod-ops

Quick Start

from canvod.ops import Pipeline, GridAssignment

grid = create_hemigrid(grid_type="equal_area", resolution=2.0)
pipeline = Pipeline([GridAssignment(grid)])
result = pipeline.run(ds)

Documentation

Full documentation

License

Apache License 2.0

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

canvod_ops-0.2.2.tar.gz (6.2 kB view details)

Uploaded Source

Built Distribution

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

canvod_ops-0.2.2-py3-none-any.whl (8.7 kB view details)

Uploaded Python 3

File details

Details for the file canvod_ops-0.2.2.tar.gz.

File metadata

  • Download URL: canvod_ops-0.2.2.tar.gz
  • Upload date:
  • Size: 6.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for canvod_ops-0.2.2.tar.gz
Algorithm Hash digest
SHA256 eefd0be440da2e72ed9744eedc649169004cd776431a75a52485e08f0fbdf5b7
MD5 acedc1251ef779a541cc8a0d6e576f74
BLAKE2b-256 53a62d27fca967ffa35b2f4c46d049c3bfba3d946d8cbda7a27775842e7ab4b3

See more details on using hashes here.

Provenance

The following attestation bundles were made for canvod_ops-0.2.2.tar.gz:

Publisher: publish_pypi.yml on nfb2021/canvodpy

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

File details

Details for the file canvod_ops-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: canvod_ops-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 8.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for canvod_ops-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 79fa6a5f2eca013008eecdc26a91577858b1d1d5ae979e1759c2423b7f12da74
MD5 783da1ef3caf0ece0e97618770ba6970
BLAKE2b-256 0464dae94da5284b1281a5d3e457c6266398dae5767070bdb712e45fe488fbb6

See more details on using hashes here.

Provenance

The following attestation bundles were made for canvod_ops-0.2.2-py3-none-any.whl:

Publisher: publish_pypi.yml on nfb2021/canvodpy

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