sciPy stats.mean() function | Python

• Difficulty Level : Basic
• Last Updated : 10 Feb, 2019

scipy.stats.mean(array, axis=0) function calculates the arithmetic mean of the array elements along the specified axis of the array (list in python).

It’s formula – Parameters :
array: Input array or object having the elements to calculate the arithmetic mean.
axis: Axis along which the mean is to be computed. By default axis = 0

Returns : Arithmetic mean of the array elements based on the set parameters.

Code #1:

 # Arithmetic Mean    import scipy  arr1 = scipy.mean([1, 3, 27])    print("Arithmetic Mean is :", arr1)
Output:
Arithmetic Mean is : 10.3333333333

Code #2: With multi-dimensional data

 # Arithmetic Mean    from scipy import mean  arr1 = [[1, 3, 27],         [3, 4, 6],         [7, 6, 3],         [3, 6, 8]]    print("Arithmetic Mean is :", mean(arr1))   # using axis = 0print("\nArithmetic Mean is with default axis = 0 : \n",       mean(arr1, axis = 0))  # using axis = 1print("\nArithmetic Mean is with default axis = 1 : \n",       mean(arr1, axis = 1))
Output:
Arithmetic Mean is : 6.41666666667

Arithmetic Mean is with default axis = 0 :
[  3.5    4.75  11.  ]

Arithmetic Mean is with default axis = 1 :
[ 10.33333333   4.33333333   5.33333333   5.66666667]

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