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	refactor motion calculation (#10380)
* refactor motion calculation * Use float
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				@ -404,6 +404,9 @@ def motion_activity():
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    # normalize data
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    df = df.resample(f"{scale}S").sum().fillna(0.0)
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    mean = df["motion"].mean()
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    std = df["motion"].std()
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    df["motion"] = (df["motion"] - mean) / std
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    df["motion"] = (
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        (df["motion"] - df["motion"].min())
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        / (df["motion"].max() - df["motion"].min())
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