# scipy stats.tmin() function | Python

• Last Updated : 07 Feb, 2019

`scipy.stats.tmin(array, lowerlimit=None, axis=0, inclusive=True) `function calculates the trimmed minimum 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 minimum.
axis: [Default is zero] Input array or object having the elements to calculate the minimum.
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 : Geometric mean of the array elements based on the set parameters.

Code #1:

 `# Trimmed Minimum `` ` `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 Minimum :"``, stats.tmin(x)) `` ` ` ` `print``(``"\nTrimmed Minimum by setting limit : "``, ``      ``stats.tmin(x, (``5``)))`

Output:

```Trimmed Minimum : 1

Trimmed Minimum by setting limit :  6
```

Code #2: Checking different parameters

 `# Trimmed Minimum `` ` `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 Minimum :"``, stats.tmin(x)) `` ` `# setting axis``print``(``"\nTrimmed Minimum by setting axis : "``, ``      ``stats.tmin(x, axis ``=` `1``))`` ` `print``(``"\nTrimmed Minimum by setting axis : "``, ``      ``stats.tmin(x, axis ``=` `0``))`` ` `# setting limit``print``(``"\nTrimmed Minimum by setting limit : "``, ``      ``stats.tmin(x, (``5``), axis ``=` `1``))`` ` ` ` `print``(``"\nTrimmed Minimum by setting limit : "``, ``      ``stats.tmin(x, (``5``), axis ``=` `0``))`

Output:

```Trimmed Minimum : [1 3 3]

Trimmed Minimum by setting axis :  [1 3 3 3]

Trimmed Minimum by setting axis :  [1 3 3]

Trimmed Minimum by setting limit :  [27  7  6  6]

Trimmed Minimum by setting limit :  [7 6 7]
```

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