本篇紀錄如何使用python numpy 的np.std 來計算陣列標準差standard deviation 的方法。 以下例子為簡單的無偏標準差計算, 1/n，[1, 2, ... ... <看更多>

The Numpy docs for std are a bit opaque, IMHO, especially considering that NumPy docs are generally fairly clear. If you read far enough: The ... ... <看更多>

NumPy has fast built-in aggregation functions for working on arrays; we'll discuss ... Mean height: 179.738095238 Standard deviation: 6.93184344275 Minimum ... ... <看更多>

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I am using Python's scikit-learn to train and test a logistic regression. scikit-learn returns the regression's coefficients of the independent variables, but ... ... <看更多>

I couldn't find a Python equivalent of this -- unless using numpy.std(dtype=float64) does it. However, I need to check whether in this case ... ... <看更多>

numpy.std causes an error with Quantity class #22. Calculating the mean with numpy works as expected, >>> lat=units.Lattice() >>> test=np.array([1,2,3 ... ... <看更多>