# sciPy stats.mean() function | Python

`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 = 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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