2023-09-19 08:52:12 +00:00
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import sqlite3
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import matplotlib.pyplot as plt
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2023-09-20 04:46:07 +00:00
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import matplotlib.dates as mdates
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2023-09-19 08:52:12 +00:00
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import numpy as np
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2023-09-20 04:46:07 +00:00
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import datetime
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2023-09-19 08:52:12 +00:00
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con = sqlite3.connect("data.db")
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cur = con.cursor()
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res = cur.execute("SELECT time, watts FROM data")
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x_values = []
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y_values = []
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for time, watts in res:
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2023-09-20 04:46:07 +00:00
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x_values.append(datetime.datetime.fromtimestamp(time / 1000))
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2023-09-19 08:52:12 +00:00
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y_values.append(watts)
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2023-09-20 04:46:07 +00:00
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fig, ax = plt.subplots()
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ax.plot(x_values, y_values)
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plt.tick_params(rotation=45)
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ax.xaxis.set_major_formatter(mdates.DateFormatter("%H:%M - %d.%m"))
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2023-09-19 08:52:12 +00:00
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2023-09-20 04:46:07 +00:00
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plt.ylim([0, max(y_values) + 50])
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2023-09-19 08:52:12 +00:00
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plt.show()
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