sideralib 2.0.1

This Python package is for astrology and uses the sidereal system.

sideralib

sideralib is a simple Python package designed for astrology enthusiasts. This package empowers users to calculate charts and determine planetary positions within the zodiac signs, adhering to the sidereal system.

Example

from sideralib import astrochart, astrodata

if __name__ == "__main__":
    # Example UTC: +5:30 which is used by India
    # Example Location Mumbai India latitude: 19.0760 and Longitude: 72.8777 
    # Year: 2009 Month: 3  Day: 30 Hour: 9 Minute: 36 Second: 0 utc_hour: 5 utc_minute: 30 latitude: 19.0760 Longitude: 72.8777 ayanamsa: ay_lahiri 
    year  = 2009
    month = 3
    day = 30
    hour = 9
    minute = 36
    second = 0
    utc_hour = 5
    utc_minute = 30
    latitude = 19.0760
    longitude =  72.8777
    ayanamsa = "ay_lahiri"
    data = astrodata.AstroData(year, month, day, hour, minute, second, utc_hour, utc_minute, latitude, longitude, ayanamsa=ayanamsa)
    planet_data = data.planets_rashi() # get planet data  
    kundli = astrochart.Chart(planet_data).lagnaChart() # returns list with all the houses in Lagna Chart
    # kundli[0] = house 1      
    # kundli[1] = house 2   
    # ...   
    # ...   
    # kundli[11] = house 12

    # kundli[0].sign_num returns rashi sign in first house.   
    # kundli[0].planets returns dict with all the planet information in first house.   
    for house in range(len(kundli)):
        if kundli[house].is_ascendant == True:
            print("Asc Signlon: ", kundli[house].asc_signlon)
            print("Asc minute: ", kundli[house].asc_minute)
            print("Asc sec: ", kundli[house].asc_second)
            print("Asc: ", kundli[house].asc_degree)
        print("house: {0} sign_num: {1} planet: {2}".format(house+1, kundli[house].sign_num, kundli[house].planets))   

# Output: 
# Asc Signlon:  7.606448680104336
# Asc minute:  36.38692080626015
# Asc sec:  23.215248375609086
# Asc:  07:36:23
# house: 1 sign_num: 2 planet: {'moon': {'signlon': 0.4326922465451801, 'minute': 25.961534792710808, 'second': 57.69208756264839, 'lon': 30.43269224654518, 'degree': '00:25:57', 'retrograde': False}}
# house: 2 sign_num: 3 planet: {}
# house: 3 sign_num: 4 planet: {'ketu': {'signlon': 12.303851305303283, 'minute': 18.231078318196978, 'second': 13.864699091818732, 'lon': 102.30385130530328, 'degree': '12:18:13', 'retrograde': True}}
# house: 4 sign_num: 5 planet: {'saturn': {'signlon': 22.758987182069518, 'minute': 45.53923092417108, 'second': 32.353855450264746, 'lon': 142.75898718206952, 'degree': '22:45:32', 'retrograde': True}}
# house: 5 sign_num: 6 planet: {}
# house: 6 sign_num: 7 planet: {}
# house: 7 sign_num: 8 planet: {}
# house: 8 sign_num: 9 planet: {'pluto': {'signlon': 9.30237002216532, 'minute': 18.142201329919203, 'second': 8.532079795152224, 'lon': 249.30237002216532, 'degree': '09:18:08', 'retrograde': False}}
# house: 9 sign_num: 10 planet: {'jupiter': {'signlon': 24.766072525924358, 'minute': 45.96435155546146, 'second': 57.86109332768774, 'lon': 294.76607252592436, 'degree': '24:45:57', 'retrograde': False}, 'rahu': {'signlon': 12.303851305303283, 'minute': 18.231078318196978, 'second': 13.864699091818732, 'lon': 282.3038513053033, 'degree': '12:18:13', 'retrograde': True}}
# house: 10 sign_num: 11 planet: {'mars': {'signlon': 17.779569685040656, 'minute': 46.77418110243934, 'second': 46.45086614636038, 'lon': 317.77956968504066, 'degree': '17:46:46', 'retrograde': False}, 'uranus': {'signlon': 29.585563853318888, 'minute': 35.13383119913328, 'second': 8.029871947996847, 'lon': 329.5855638533189, 'degree': '29:35:08', 'retrograde': False}, 'neptune': {'signlon': 1.5493690559594597, 'minute': 32.962143357567584, 'second': 57.72860145405505, 'lon': 301.54936905595946, 'degree': '01:32:57', 'retrograde': False}}
# house: 11 sign_num: 12 planet: {'sun': {'signlon': 15.606050560341089, 'minute': 36.36303362046533, 'second': 21.7820172279199, 'lon': 345.6060505603411, 'degree': '15:36:21', 'retrograde': False}, 'mercury': {'signlon': 14.595579878481658, 'minute': 35.73479270889948, 'second': 44.08756253396846, 'lon': 344.59557987848166, 'degree': '14:35:44', 'retrograde': False}, 'venus': {'signlon': 11.793622040073728, 'minute': 47.6173224044237, 'second': 37.039344265422216, 'lon': 341.7936220400737, 'degree': '11:47:37', 'retrograde': True}}
# house: 12 sign_num: 1 planet: {}

kundli[0] = house 1
kundli[1] = house 2
...
...
kundli[11] = house 12

kundli[0].sign_num returns rashi sign number in first house.
kundli[0].planets returns dict with all the planet information in first house.

ayanamsa options:
"ay_fagan_bradley"
"ay_lahiri"
"ay_deluce"
"ay_raman"
"ay_krishnamurti"
"ay_sassanian"
"ay_aldebaran_15tau"
"ay_galcenter_5sag"

kundli[0].sign_num: returns sign number in the first house
kundli[0].asc_signlon: returns the ascendant degree
kundli[0].asc_minute: returns the ascendant minute
kundli[0].asc_second: returns the ascendant second
kundli[0].asc_degree: returns the ascendant degree
kundli[0].planets: returns dict with planet information in the first house

astrochart.Chart:

• astrochart.Chart(data.planets_rashi()).lagnaChart(): returns Lagna Chart
• astrochart.Chart(data.planets_rashi()).moonChart(): returns Moon Chart

astrodata.AstroData:

• astrodata.AstroData(year, month, day, hour, minute, second, utc_hour, utc_minute, latitude, longitude, ayanamsa=ayanamsa).planets_rashi():returns dict with planets information
• astrodata.AstroData(year, month, day, hour, minute, second, utc_hour, utc_minute, latitude, longitude, ayanamsa=ayanamsa).get_chiron_rashi("resources\swefiles"): returns dict with chiron information

# Example  
data = astrodata.AstroData(year, month, day, hour, minute, second, utc_hour, utc_minute, latitude, longitude, ayanamsa="ay_lahiri")
data.get_chiron_rashi("resources\swefiles") # returns dict with chiron information
kundli = astrochart.Chart(data.planets_rashi()).lagnaChart() # returns list with all the houses in Lagna Chart

Installl

pip install sideralib

or
download the files from https://github.com/EH30/sideralib
then cd to the folder and enter the command:

pip install .