This is a package that keeps all the Machine learning Utils in the Software Team.
Project description
SARAO Machine Learning Utility functions
Machine Learning utils is a library for a convenient experience. It consists of helper functions for creating astronomy/machine learning tools.
Installation
pip install katmlutils
Example 1
from katmlutils.utils import get_night_window
from datetime import datetime
# Get the night window for the proposed date
nightwindow = get_night_window(datetime.datetime.now())
nightwindow
Example 2
from katmlutils.utils import get_UTC_sunrise_sunset_times
from datetime import datetime
date = datetime.today()
num_days = 7
sunrise_sunset_times = get_UTC_sunrise_sunset_times(date, num_days)
for entry in sunrise_sunset_times:
print(
f"Date: {entry['date']}, Sunrise: {entry['sunrise']}, Sunset: {entry['sunset']}"
)
Example 3
from katmlutils.utils import SKA_LATITUDE, SKA_LONGITUDE, MINUTES_IN_SIDEREAL_DAY, MINUTES_IN_SOLAR_DAY
print(f"SKA Latitude: {SKA_LATITUDE} degrees")
print(f"SKA Longitude: {SKA_LONGITUDE} degrees")
print(f"Minutes in Sidereal Day: {MINUTES_IN_SIDEREAL_DAY}")
print(f"Minutes in Solar Day: {MINUTES_IN_SOLAR_DAY}")
Example 4
from katmlutils.utils import SKA_LONGITUDE, lst_to_utc
from datetime import datetime, time, date
# Example Usage of lst_to_utc function
date = date.today()
lst_time = time(12, 30, 45)
utc_time = lst_to_utc(date, lst_time, SKA_LONGITUDE)
print(f"UTC Time: {utc_time}")
# Example Usage of LST_TO_UTC_hours function
lst_hours = 1 + 59 / 60 + 0 / 3600
date = datetime.now()
utc_time = LST_to_UTC_time(lst_hours, date, SKA_LONGITUDE)
print(f"UTC Time: {int(utc_time)}:{int((utc_time % 1) * 60):02}")
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