61 lines
1.9 KiB
Python
61 lines
1.9 KiB
Python
#!/usr/bin/python
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# -*- coding: utf-8 -*-
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import matplotlib.pyplot as plt
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import numpy as np
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import matplotlib.dates as mdates
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from datetime import datetime, timedelta
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from astral import LocationInfo
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from astral.sun import sun
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def main():
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# Set your location
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city = LocationInfo("Rome", "Italy", "Europe/Rome", 44.448066, 11.270639)
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# Choose the date
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# date = datetime(2023, 3, 29)
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# dawn: 2023-03-29 06:32:45.166761+02:00
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# sunrise: 2023-03-29 07:02:31.106176+02:00
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# noon: 2023-03-29 13:19:52+02:00
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# sunset: 2023-03-29 19:37:45.931604+02:00
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# dusk: 2023-03-29 20:07:37.090448+02:00
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date = datetime(2023, 3, 29)
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# Get solar times
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s = sun(city.observer, date=date, tzinfo=city.timezone)
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for k, v in s.items():
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print(f'{k}: {v}')
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dawn = s['dawn']
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sunrise = s['sunrise']
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sunset = s['sunset']
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dusk = s['dusk']
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# Generate time series data for one day
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times = [date + timedelta(minutes=15 * i) for i in range(96 * 1)]
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values = np.sin(np.linspace(0, 4 * np.pi, len(times))) # Some mock data
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# Create the plot
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fig, ax = plt.subplots(figsize=(10, 5))
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ax.plot(times, values, label="Sensor Data", color='tab:blue')
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# Plot twilight periods as vertical bands
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ax.axvspan(dawn, sunrise, color='lightskyblue', alpha=0.3, label='Morning Twilight')
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ax.axvspan(sunset, dusk, color='lightskyblue', alpha=0.3, label='Evening Twilight')
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# Mark sunrise and sunset
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ax.axvline(sunrise, color='orange', linestyle='--', label='Sunrise')
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ax.axvline(sunset, color='red', linestyle='--', label='Sunset')
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# Formatting
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ax.set_title(f"Daylight and Twilight - {city.name} on {date.strftime('%Y-%m-%d')}")
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ax.set_xlabel("Time")
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ax.set_ylabel("Sensor Value")
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ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))
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plt.xticks(rotation=45)
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plt.legend()
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plt.tight_layout()
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plt.show()
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if __name__ == '__main__':
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main()
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