Skip to main content

Weather for Open Energy Efficiency Meter

Project description

https://travis-ci.org/openeemeter/eeweather.svg?branch=master https://img.shields.io/github/license/openeemeter/eeweather.svg https://readthedocs.org/projects/eeweather/badge/?version=latest https://img.shields.io/pypi/v/eeweather.svg https://codecov.io/gh/openeemeter/eeweather/branch/master/graph/badge.svg

EEweather — tools for matching to and fetching data from NCDC ISD, TMY3, or CZ2010 weather stations.

EEweather comes with a database of weather station metadata, ZCTA metadata, and GIS data that makes it easier to find the right weather station to use for a particular ZIP code or lat/long coordinate.

Installation

EEweather is a python package and can be installed with pip.

$ pip install eeweather

Supported Sources of Weather Data

  • NCDC Integrated Surface Database (ISD)

  • Global Summary of the Day (GSOD)

  • NREL Typical Meteorological Year 3 (TMY3)

  • California Energy Commission 1998-2009 Weather Normals (CZ2010)

Features

  • Match by ZIP code (ZCTA) or by lat/long coordinates

  • Use user-supplied weather station mappings

  • Match within climate zones

    • IECC Climate Zones

    • IECC Moisture Regimes

    • Building America Climate Zones

    • California Building Climate Zone Areas

  • User-friendly SQLite database of metadata compiled from primary sources

    • US Census Bureau (ZCTAs, county shapefiles)

    • Building America climate zone county lists

    • NOAA NCDC Integrated Surface Database Station History

    • NREL TMY3 site

  • Plot maps of outputs

Contributing

Dev installation:

$ pipenv --python 3.6.4  # create virtualenv with python 3.6.4
$ pipenv install --dev   # install dev requirements with pipenv
$ pipenv install -e .    # install package in editable mode
$ pipenv shell           # activate pipenv virtual environment

Build docs:

$ make -C docs html

Autobuild docs:

$ make -C docs livehtml

Check spelling in docs:

$ make -C docs spelling

Run tests:

$ pytest

Run tests on multiple python versions:

$ tox

Upload to pypi (using twine):

$ python setup.py upload

Use with Docker

To use with docker-compose, use the following:

Run a tutorial notebook (copy link w/ token, open tutorial.ipynb):

$ docker-compose up jupyter

Live-edit docs:

$ docker-compose up docs

Open a shell:

$ docker-compose run --rm shell

Run tests:

$ docker-compose run test

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

eeweather-0.1.1.tar.gz (9.6 MB view hashes)

Uploaded Source

Built Distribution

eeweather-0.1.1-py2.py3-none-any.whl (9.6 MB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page