Enhance Battery and Motor Diagnostics: Add standard deviation calculation and motor diagnostics functionality
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@@ -39,13 +39,16 @@ class BatteryDiagnostics:
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print("Current deviation:", self.stdev(currentList))
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def stdev(self, vals):
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data = vals
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if len(data) < 2:
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return 0
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# Calculate the mean
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mean = sum(data) / len(data)
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# Calculate the variance (sum of squared differences from the mean, divided by n-1 for sample standard deviation)
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variance = sum([(x - mean) ** 2 for x in data]) / (len(data) - 1)
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variance = sum([(x - mean) ** 2 for x in data]) / float(len(data) - 1)
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# Calculate the standard deviation (square root of the variance)
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std_dev_manual = umath.sqrt(variance)
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return (std_dev_manual)
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