# sciPy stats.nanmean() function | Python

`scipy.stats.nanmean(array, axis=0)` function calculates the arithmetic mean by ignoring the Nan (not a number) values of the array elements along the specified axis of the array.

It’s formula –

Parameters :
array : Input array or object having the elements, including Nan values, 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 (ignoring the Nan values) based on the set parameters.

Code #1:

 `# Arithmetic Mean  ` `import` `scipy ` `import` `numpy as np ` ` `  `arr1 ``=` `[``1``, ``3``, np.nan, ``27``]  ` `  `  `print``(``"Arithmetic Mean using nanmean :"``, scipy.nanmean(arr1)) ` ` `  `print``(``"Arithmetic Mean without handling nan value :"``, scipy.mean(arr1))  `

Output :

```Arithmetic Mean using nanmean : 10.333333333333334
Arithmetic Mean without handling nan value : nan```

Code #2: With multi-dimensional data

 `# Arithmetic Mean  ` `from` `scipy ``import` `mean ` `from` `scipy ``import` `nanmean ` `import` `numpy as np ` ` `  `arr1 ``=` `[[``1``, ``3``, ``27``],  ` `        ``[``3``, np.nan, ``6``],  ` `        ``[np.nan, ``6``, ``3``],  ` `        ``[``3``, ``6``, np.nan]]  ` `  `  `print``(``"Arithmetic Mean is :"``, mean(arr1))  ` `print``(``"Arithmetic Mean handling nan :"``, nanmean(arr1))  ` ` `  `# using axis = 0 ` `print``(``"\nArithmetic Mean is with default axis = 0 : \n"``,  ` `      ``mean(arr1, axis ``=` `0``)) ` `print``(``"\nArithmetic Mean handling nan with default axis = 0 : \n"``,  ` `      ``nanmean(arr1, axis ``=` `0``)) ` ` `  `# using axis = 1 ` `print``(``"\nArithmetic Mean is with default axis = 1 : \n"``,  ` `      ``mean(arr1, axis ``=` `1``))   ` `print``(``"\nArithmetic Mean handling nan with default axis = 1 : \n"``,  ` `      ``nanmean(arr1, axis ``=` `1``))   `

Output :

```Arithmetic Mean is : nan
Arithmetic Mean handling nan : 6.444444444444445

Arithmetic Mean is with default axis =0 :
[nan nan nan]

Arithmetic Mean handling nan with default axis =0 :
[ 2.33333333  5.         12.        ]

Arithmetic Mean is with default axis =1 :
[10.33333333         nan         nan         nan]

Arithmetic Mean handling nan with default axis =1 :
[10.33333333  4.5         4.5         4.5       ]```

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