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Misc/Temp-Monitor/rendered/Temperature-Data.md

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+```python
+from matplotlib import pyplot as plt
+import pandas as pd
+
+df = pd.read_csv('20250824-temperature-02.csv')
+df["Time"] = df["Time [ms]"] / 1000. / 60.
+
+fig, ax = plt.subplots(figsize=(24, 8))
+ax.set_ylim(25.4, df["Raw"].max() + 0.01)
+ax.plot(df["Time"], df["Raw"])
+ax.plot(df["Time"], df["Temperature"])
+ax.set_ylabel("Temperature / °C")
+ax.set_xlabel("Time / minutes")
+ax.legend(["Raw Temperature", "Temperature"])
+ax.grid()
+
+def event(time_minutes, label, yoff=0):
+    y = ax.get_ylim()[1] - yoff
+    ax.annotate(label, xy=(time_minutes, y))
+    ax.axvline(x=time_minutes, color="red")
+
+event(3330 / 60, "Start install aluminum")
+event(4440 / 60, "Start remove aluminum")
+event(5208 / 60, "New tip")
+event(5450 / 60, "Aluminum back on STM")
+event(5720 / 60, "First tunneling", 0.03)
+event(6860 / 60, "Stable tunneling started", 0.26)
+event(7100 / 60, "Stable tunneling stopped", 0.23)
+event(7200 / 60, "Heated up the STM externally")
+event(7669 / 60, "Stable tunneling start 80pA", 0.42)
+event(7780 / 60, "Changed to 210pA", 0.26)
+event(7990 / 60, "Drifted out of range", 0.38)
+event(8300 / 60, "Heated again")
+event(8327 / 60, "STM spontaneously starts tunneling", 0.52)
+event(8500 / 60, "Very noisy but long term tunneling", 0.2)
+event(8950 / 60, "End tunneling", 0.25)
+```
+
+
+    
+![png](Temperature-Data_files/Temperature-Data_0_0.png)
+    
+
+
+
+```python
+
+```
+
+
+```python
+
+```