Implemented simple plotter

bettwaage-plotter/main.py

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

bettwaage-plotter/requirements.txt

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+matplotlib
+requests
+numpy