katmlutils 0.0.7

This is a package that keeps all the Machine learning Utils in the Software Team.

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

date = datetime.now()

Example Usage of lst_to_utc function with float input

lst_time = 1 + 59 / 60 + 0 / 3600 utc_time = lst_to_utc(date, lst_time, SKA_LONGITUDE) print(f"UTC Time: {int(utc_time)}:{int((utc_time % 1) * 60):02}")

Example Usage of lst_to_utc function with time input

lst_time = time(12, 30, 45) utc_time = lst_to_utc(date, lst_time, SKA_LONGITUDE) print(f"UTC Time: {utc_time}")