public
Description: Pysolar is a collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.
Homepage: http://pysolar.org
Clone URL: git://github.com/pingswept/pysolar.git
name age message
file COPYING Sat Mar 01 15:36:54 -0800 2008 Initial import from SVN tag 0.2.0 [Brandon Stafford]
file README Loading commit data...
file constants.py
file poly.py
directory pysolar.org/
file shade.py Sat Mar 01 15:36:54 -0800 2008 Initial import from SVN tag 0.2.0 [Brandon Stafford]
file shade_test.py Sat Mar 01 15:36:54 -0800 2008 Initial import from SVN tag 0.2.0 [Brandon Stafford]
file solar.py
file testsolar.py
Pysolar performs calculations useful for the development of photovoltaic 
systems. Rough steps for use, until either forever or I have time to 
write more documentation:

1. Install python.
2. Get to a prompt that looks like: >>>
3. >>> import solar
4. >>> import datetime
5. >>> d = datetime.datetime.utcnow()
6. >>> lat = 42.0
7. >>> long = -71.0
8. >>> solar.GetAltitude(lat, long, d)
9. >>> solar.GetAzimuth(lat, long, d)

For better examples of usage, check http://pysolar.sourceforge.net/#examples

At this point, Pysolar has basic functionality, but it is relatively untested.
I did validate it against the data in a paper by Reda and Andreas; it agrees
to 4 significant figures, but that's just one data point.

If you use Pysolar, please let me know how accurate it is. It's difficult to
measure sun location with great precision, but I'd love to hear reports of
"Yeah, it worked to within a degree over the course of an afternoon in Spain."

Brandon Stafford
<first_name> @ pingswept org