Welcome to Astral V0.5
Astral is a python module for calculating the times of various aspects of the sun and moon.
It calculates the following
- Dawn
The time in the morning when the sun is a specific number of degrees below the horizon.
- Sunrise
The time in the morning when the top of the sun breaks the horizon (asuming a location with no obscuring features.)
- Solar Noon
The time when the sun is at its highest point.
- Sunset
The time in the evening when the sun is about to disappear below the horizon (asuming a location with no obscuring features.)
- Dusk
The time in the evening when the sun is a specific number of degrees below the horizon.
- Solar Azimuth
The number of degrees clockwise from North at which the sun can be seen
- Solar Elevation
The number of degrees up from the horizon at which the sun can be seen
- Rahukaalam
“Rahukaalam or the period of Rahu is a certain amount of time every day that is considered inauspicious for any new venture according to Indian astrology”.
- Moon Phase
Calculates the phase of the moon for a specified date.
Example
The following example demonstrates the functionality available in the module
>>> import datetime
>>> from astral import Astral
>>> city_name = 'London'
>>> a = Astral()
>>> a.solar_depression = 'civil'
>>> city = a[city_name]
>>> print('Information for %s/%s\n' % (city_name, city.country))
Information for London/England
>>> timezone = city.timezone
>>> print('Timezone: %s' % timezone)
Timezone: Europe/London
>>> print('Latitude: %.02f; Longitude: %.02f\n' % \
>>> (city.latitude, city.longitude))
Latitude: 51.60; Longitude: 0.08
>>> sun = city.sun(date=datetime.date(2009, 4, 22), local=True)
>>> print('Dawn: %s' % str(sun['dawn']))
>>> print('Sunrise: %s' % str(sun['sunrise']))
>>> print('Noon: %s' % str(sun['noon']))
>>> print('Sunset: %s' % str(sun['sunset']))
>>> print('Dusk: %s' % str(sun['dusk']))
Dawn: 2009-04-22 05:12:56+01:00
Sunrise: 2009-04-22 05:49:36+01:00
Noon: 2009-04-22 12:58:48+01:00
Sunset: 2009-04-22 20:09:07+01:00
Dusk: 2009-04-22 20:45:52+01:00
Access to the database of cities can be made through the Astral class:
>>> a = Astral() >>> db = a.citydb >>> london = db['London']
Timezone groups such as Europe can be accessed via attributes on the database:
>>> a = Astral() >>> db = a.citydb >>> europe = db.europe.cities >>> europe.sort() >>> europe ['Aberdeen', 'Amsterdam', 'Andorra la Vella', 'Ankara', 'Athens', ...
License
This module is licensed under the terms of the Apache V2.0 license.
Dependencies
Astral has one external dependency on ‘pytz’ which can either be obtained from Sourceforge page or via the easy_install method, whichever is your particular poison.
Installation
When you’ve added the pytz package to install astral unzip the archive to a handy location and execute the standard Python installation method:
python setup.py install
Cities
The module includes location and time zone data for the following cities. The list includes all capital cities plus some from the UK. The list also includes the US state capitals and some other US cities.
Aberdeen, Abu Dhabi, Abuja, Accra, Addis Ababa, Adelaide, Al Jubail, Algiers, Amman, Amsterdam, Andorra la Vella, Ankara, Antananarivo, Apia, Ashgabat, Asmara, Astana, Asuncion, Athens, Baghdad, Baku, Bamako, Bandar Seri Begawan, Bangkok, Bangui, Banjul, Basse-Terre, Basseterre, Beijing, Beirut, Belgrade, Belmopan, Berlin, Bern, Birmingham, Bishkek, Bissau, Bloemfontein, Bogota, Bolton, Bradford, Brasilia, Bratislava, Brazzaville, Bridgetown, Brisbane, Bristol, Brussels, Bucharest, Bucuresti, Budapest, Buenos Aires, Bujumbura, Cairo, Canberra, Cape Town, Caracas, Cardiff, Castries, Cayenne, Charlotte Amalie, Chisinau, Conakry, Copenhagen, Cotonou, Crawley, Dakar, Damascus, Dammam, Dhaka, Dili, Djibouti, Dodoma, Doha, Dublin, Dushanbe, Edinburgh, Fort-de-France, Freetown, Funafuti, Gaborone, George Town, Georgetown, Glasgow, Guatemala, Hanoi, Harare, Havana, Helsinki, Hobart, Honiara, Islamabad, Jakarta, Jerusalem, Jubail, Kabul, Kampala, Kathmandu, Khartoum, Kiev, Kigali, Kingston, Kingstown, Kinshasa, Koror, Kuala Lumpur, Kuwait, La Paz, Leeds, Leicester, Libreville, Lilongwe, Lima, Lisbon, Liverpool, Ljubljana, Lome, London, Luanda, Lusaka, Luxembourg, Macau, Madinah, Madrid, Makkah, Malabo, Male, Mamoudzou, Managua, Manama, Manchester, Manila, Maputo, Maseru, Masqat, Mbabane, Mecca, Medina, Mexico, Minsk, Mogadishu, Monrovia, Montevideo, Moroni, Moscow, Moskva, N’Djamena, Nairobi, Nassau, New Delhi, Newcastle, Newcastle Upon Time, Niamey, Nicosia, Norwich, Nouakchott, Noumea, Nuku’alofa, Nuuk, Oranjestad, Oslo, Ottawa, Ouagadougou, Oxford, P’yongyang, Pago Pago, Palikir, Panama, Papeete, Paramaribo, Paris, Perth, Phnom Penh, Plymouth, Port Moresby, Port-Vila, Port-au-Prince, Porto-Novo, Portsmouth, Prague, Praia, Pretoria, Quito, Reading, Reykjavik, Riga, Riyadh, Road Town, Rome, Roseau, Saint Pierre, Saipan, San Jose, San Juan, San Marino, San Salvador, Santiago, Santo Domingo, Sao Tome, Sarajevo, Seoul, Sheffield, Skopje, Sofia, Southampton, St. Peter Port, Stanley, Stockholm, Sucre, Suva, Swansea, Swindon, Sydney, T’bilisi, Tallinn, Tarawa, Tashkent, Tegucigalpa, Tehran, Thimphu, Tirane, Torshavn, Tripoli, Tunis, Vaduz, Valletta, Vienna, Vientiane, Vilnius, W. Indies, Warsaw, Washington DC, Wellington, Willemstad, Windhoek, Wolverhampton, Yamoussoukro, Yangon, Yaounde, Yerevan, Zagreb
US Cities
Albany, Albuquerque, Anchorage, Annapolis, Atlanta, Augusta, Austin, Baltimore, Baton Rouge, Billings, Birmingham, Bismarck, Boise, Boston, Bridgeport, Buffalo, Burlington, Carson City, Charleston, Charlotte, Cheyenne, Chicago, Cleveland, Columbia, Columbus, Concord, Dallas, Denver, Des Moines, Detroit, Dover, Fargo, Frankfort, Harrisburg, Hartford, Helena, Honolulu, Houston, Indianapolis, Jackson, Jacksonville, Jefferson City, Juneau, Kansas City, Lansing, Las Vegas, Lincoln, Little Rock, Los Angeles, Louisville, Madison, Manchester, Memphis, Miami, Milwaukee, Minneapolis, Montgomery, Montpelier, Nashville, New Orleans, New York, Newark, Oklahoma City, Olympia, Omaha, Orlando, Philadelphia, Phoenix, Pierre, Portland, Portland, Providence, Raleigh, Richmond, Sacramento, Saint Paul, Salem, Salt Lake City, San Diego, San Francisco, Santa Fe, Seattle, Sioux Falls, Springfield, Tallahassee, Toledo, Topeka, Trenton, Virginia Beach, Wichita, Wilmington
Thanks
The sun calculations in this module were adapted, for Python, from the following spreadsheet.
Which takes its calculations from
The moon phase calculation is based on some javascript code from Sky and Telescope magazine
Moon-phase calculationRoger W. Sinnott, Sky & Telescope, June 16, 2006.
Also to Sphinx for making doc generation an easy thing (not that the writing of the docs is any easier.)
Contact
Simon Kennedy <python@sffjunkie.co.uk>
Version History
Version |
Description |
|---|---|
0.5 |
|
0.4 |
|
0.3 |
|
0.2 |
Fix for bug 554041 submitted by Derek_ / John Dimatos |
0.1 |
First release |
Metadata
Release files for astral 0.5
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Release files / astral-0.5.zip
| Download URL | astral-0.5.zip |
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