# 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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