Skip to main content

Dragonfly Data-Model Objects

Project description

Build Status Coverage Status

Python 3.7

dragonfly-schema

Dragonfly Data-Model Objects

Installation

pip install dragonfly-schema

QuickStart

import dragonfly_schema

API Documentation

Model Schema

Energy Simulation Parameter Schema

Local Development

  1. Clone this repo locally
git clone git@github.com:ladybug-tools/dragonfly-schema

# or

git clone https://github.com/ladybug-tools/dragonfly-schema
  1. Install dependencies:
cd dragonfly-schema
pip install -r dev-requirements.txt
pip install -r requirements.txt
  1. Run Tests:
python -m pytest tests/
  1. Generate Documentation:
python ./docs.py
  1. Generate Sample Files:
python ./scripts/export_samples.py

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

dragonfly-schema-1.6.37.tar.gz (24.3 kB view details)

Uploaded Source

Built Distribution

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

dragonfly_schema-1.6.37-py2.py3-none-any.whl (10.9 kB view details)

Uploaded Python 2Python 3

File details

Details for the file dragonfly-schema-1.6.37.tar.gz.

File metadata

  • Download URL: dragonfly-schema-1.6.37.tar.gz
  • Upload date:
  • Size: 24.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

File hashes

Hashes for dragonfly-schema-1.6.37.tar.gz
Algorithm Hash digest
SHA256 646eaf084b106cd095de1e76de041e9e554687b273f40854237aba798b07eef5
MD5 7f6c739d7b6a395f7167625299ac7e62
BLAKE2b-256 a418dd786226b638e44ebeb437fd99b47d8a76ef104254b7c0cbb06d9f0fe194

See more details on using hashes here.

File details

Details for the file dragonfly_schema-1.6.37-py2.py3-none-any.whl.

File metadata

  • Download URL: dragonfly_schema-1.6.37-py2.py3-none-any.whl
  • Upload date:
  • Size: 10.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

File hashes

Hashes for dragonfly_schema-1.6.37-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 119749a8df0822fde2aafaf6c63db0405629e2f30b6d40b82b5690d2c4d59d53
MD5 f670301b31eb4ca109a65a40400e9ab5
BLAKE2b-256 7192509630d6fa08e7c7a792bb03914367dc6a7e509d1001d9dda62c10e52be8

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