Dragonfly extension for the DOE-2 energy simulation engine.
Project description
dragonfly-doe2
Dragonfly extension for energy modeling with the DOE-2 engine.
DOE-2 is a widely used and accepted freeware building energy analysis program that can predict the energy use and cost for all types of buildings.
Installation
pip install -U dragonfly-doe2
QuickStart
import dragonfly_doe2
API Documentation
Local Development
- Clone this repo locally
git clone git@github.com:ladybug-tools/dragonfly-doe2
# or
git clone https://github.com/ladybug-tools/dragonfly-doe2
- Install dependencies:
cd dragonfly-doe2
pip install -r dev-requirements.txt
pip install -r requirements.txt
- Run Tests:
python -m pytest tests/
- Generate Documentation:
sphinx-apidoc -f -e -d 4 -o ./docs ./dragonfly_doe2
sphinx-build -b html ./docs ./docs/_build/docs
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-doe2-0.11.3.tar.gz
(19.0 MB
view details)
Built Distribution
File details
Details for the file dragonfly-doe2-0.11.3.tar.gz
.
File metadata
- Download URL: dragonfly-doe2-0.11.3.tar.gz
- Upload date:
- Size: 19.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.3.1 pkginfo/1.8.3 requests/2.28.1 requests-toolbelt/0.10.1 tqdm/4.64.1 CPython/3.7.15
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | cfb763787b4f03ba2b6c2c3b83befee7c9fa3c5a75b850790e5bf66e05443786 |
|
MD5 | abd62d60ce93281779954c34e85f0e39 |
|
BLAKE2b-256 | 366c0b379ac031a4ba91c9bc9270157656fcaaa864023af6bdfdc292c9774cd4 |
File details
Details for the file dragonfly_doe2-0.11.3-py2.py3-none-any.whl
.
File metadata
- Download URL: dragonfly_doe2-0.11.3-py2.py3-none-any.whl
- Upload date:
- Size: 35.1 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.3.1 pkginfo/1.8.3 requests/2.28.1 requests-toolbelt/0.10.1 tqdm/4.64.1 CPython/3.7.15
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 91d143a069491359e0e0067dba41a73c57aa17b56960d7089037d8d3010be981 |
|
MD5 | 18706ca74b188fa177a7f2173d341828 |
|
BLAKE2b-256 | a671a08ee36b9e8aacd61c3197ee036a1d1aa43da1348eb9ef03cc9757d8c732 |