Project: eeweather

Weather for Open Energy Efficiency Meter

Project Details

Latest version
0.3.24
Home Page
http://github.com/openeemeter/eeweather
PyPI Page
https://pypi.org/project/eeweather/

Project Popularity

PageRank
0.004205898814943204
Number of downloads
113727

EEweather: Weather station wrangling for EEmeter

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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.

Read the docs. <https://eeweather.readthedocs.org/>_

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 --rm test

Run the CLI::

$ docker-compose run --rm eeweather --help

Notice Regarding CZ2010 Data

There may be conditions placed on their international commercial use. They can be used within the U.S. or for non-commercial international activities without restriction. The non-U.S. data cannot be redistributed for commercial purposes. Re-distribution of these data by others must provide this same notification.

See further explanation <http://weather.whiteboxtechnologies.com/faq#Q12/>_ here.