2024-05-02 20:06:47 +02:00
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import requests
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import matplotlib.pyplot as plt
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import numpy as np
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from datetime import datetime
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history_url = "http://192.168.178.84:9587/bettwaage/history"
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data = requests.get(history_url)
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data = data.json()
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# make data
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x = [datetime.strptime(d["timestamp"], "%Y-%m-%d %H:%M:%S.%f") for d in data]
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max_time = max(x)
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x = [(max_time - d).total_seconds() for d in x]
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total = [d["total"] for d in data]
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tl = [d["tl"] for d in data]
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tr = [d["tr"] for d in data]
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bl = [d["bl"] for d in data]
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br = [d["br"] for d in data]
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fig, ax1 = plt.subplots()
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2024-05-03 00:29:06 +02:00
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color = "tab:blue"
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2024-05-02 20:06:47 +02:00
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ax1.set_xlabel("time (s)")
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ax1.set_ylabel("Total", color=color)
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ax1.plot(x, total, color=color)
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ax2 = ax1.twinx() # instantiate a second axes that shares the same x-axis
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color = "tab:blue"
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ax2.set_ylabel("Legs", color=color) # we already handled the x-label with ax1
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ax2.plot(x, tl, color="tab:red")
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ax2.plot(x, tr, color="tab:green")
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ax2.plot(x, bl, color="tab:purple")
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ax2.plot(x, br, color="tab:orange")
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fig.tight_layout() # otherwise the right y-label is slightly clipped
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plt.show()
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