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python/other/slop.py

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+import matplotlib.pyplot as plt
+import numpy as np
+
+# Open and read the file
+with open(".power_log", "r", encoding="utf-8") as f:
+    data = f.readlines()
+
+# Extract numerical values from each line
+measurements = [float(line.strip()) for line in data]
+
+# Generate time values (assuming measurements are taken every second)
+time_values = np.arange(len(measurements))
+
+# Plot the data
+plt.figure(figsize=(10, 6))
+plt.plot(time_values, measurements, marker='o', linestyle='-')
+plt.title('Power Measurements Over Time')
+plt.xlabel('Time (seconds)')
+plt.ylabel('Power Measurement')
+plt.grid(True)
+plt.show()