# sciPy stats.tmax() function | Python

Last Updated : 10 Feb, 2019

`scipy.stats.tmax(array, lowerlimit=None, axis=0, inclusive=True)` function calculates the trimmed maximum of the array elements along with ignoring the values lying outside the specified limits, along the specified axis.

Parameters :
array: Input array or object having the elements to calculate the trimmed maximum.
axis: Axis along which the statistics is to be computed. By default axis = 0
limits: Lower and upper bound of the array to consider, values less than the lower limit or greater than the upper limit will be ignored. If limits is None [default], then all values are used.
inclusive: Decide whether to include the values equal to lower or upper bound, or to exclude them while calculation.

Returns : Trimmed maximum of the array elements based on the set parameters.

Code #1:

 `# Trimmed Maximum  ` `  `  `from` `scipy ``import` `stats ` `import` `numpy as np  ` `  `  `# array elements ranging from 0 to 19 ` `x ``=` `[``1``, ``3``, ``27``, ``56``, ``2``, ``4``, ``13``, ``3``, ``6``] ` `   `  `print``(``"Trimmed Maximum :"``, stats.tmax(x))  ` `  `  `  `  `print``(``"\nTrimmed Maximum by setting limit : "``,  ` `      ``stats.tmax(x, (``5``))) `

Output:

```Trimmed Maximum : 56

Trimmed Maximum by setting limit :  4
```

Code #2: With multi-dimensional data

 `# Trimmed Maximum  ` `  `  `from` `scipy ``import` `stats ` `import` `numpy as np  ` `  `  `# array elements ranging from 0 to 19 ` `x ``=` `[[``1``, ``3``, ``27``],  ` `        ``[``3``, ``4``, ``7``],  ` `        ``[``7``, ``6``, ``3``],  ` `        ``[``3``, ``6``, ``8``]] ` `  `  `print``(``"Trimmed Maximum :"``, stats.tmax(x))  ` `  `  `# setting axis ` `print``(``"\nTrimmed Maximum by setting axis : "``,  ` `      ``stats.tmax(x, axis ``=` `1``)) ` `  `  `print``(``"\nTrimmed Maximum by setting axis : "``,  ` `      ``stats.tmax(x, axis ``=` `0``)) ` `  `  `# setting limit ` `print``(``"\nTrimmed Maximum by setting limit : "``,  ` `      ``stats.tmax(x, (``5``), axis ``=` `1``)) ` `  `  `  `  `print``(``"\nTrimmed Maximum by setting limit : "``,  ` `      ``stats.tmax(x, (``5``), axis ``=` `0``)) `

Output:

```Trimmed Maximum : [ 7  6 27]

Trimmed Maximum by setting axis :  [27  7  7  8]

Trimmed Maximum by setting axis :  [ 7  6 27]

Trimmed Maximum by setting limit :  [3 4 3 3]

Trimmed Maximum by setting limit :  [3 4 3]
```

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