Compute the arithmetic mean along the specified axis. Returns the average of the array elements. The average is taken over the flattened array by default, otherwise over the specified axis.

mean, percentile Notes Given a vector V of length N , the median of V is the middle value of a sorted copy of V , V_sorted - i e., V_sorted[(N-1)/2] , when N is odd, and the average of the …

ndarray. mean (axis = None, dtype = None, out = None, keepdims = False, *, where = True) # Returns the average of the array elements along given axis. Refer to numpy.mean for full …

Compute the arithmetic mean along the specified axis. Returns the average of the array elements. The average is taken over the flattened array by default, otherwise over the specified axis.

In most cases, this docstring contains a quick and concise summary of the object and how to use it. Python has a built-in help() function that can help you access this information.

There are several common variants of the array standard deviation calculation. Assuming the input a is a one-dimensional NumPy array and mean is either provided as an argument or …

The function has its peak at the mean, and its “spread” increases with the standard deviation (the function reaches 0.607 times its maximum at \(x + \sigma\) and \(x - \sigma\)). This implies that …

There are several common variants of the array variance calculation. Assuming the input a is a one-dimensional NumPy array and mean is either provided as an argument or computed as …

Compute the arithmetic mean along the specified axis. Returns the average of the array elements. The average is taken over the flattened array by default, otherwise over the specified axis.

mean ma.average. average for masked arrays – useful if your data contains “missing” values. numpy.result_type. Returns the type that results from applying the numpy type promotion rules …