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 = 0Returns : 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 = 0 print("\nArithmetic Mean is with default axis = 0 : \n", mean(arr1, axis = 0)) # using axis = 1 print("\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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