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# Python | Numpy np.ma.mini() method

• Last Updated : 03 Nov, 2019

With the help of `np.ma.mini()` method, we can get the minimum value of masked array by using `np.ma.mini()` method.

Syntax : `np.ma.mini()`
Return : Return the minimum value of masked array.

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Example #1 :
In this example we can see that by using `np.ma.mini()` method, we are able to get the minimum value of masked array by using this method.

 `# import numpy``import` `numpy as np``import` `numpy.ma as ma`` ` `# using np.ma.mini() method``gfg ``=` `ma.array(np.arange(``6``), mask ``=``[``-``2``, ``-``1``, ``0``, ``1``, ``2``, ``3``]).reshape(``3``, ``2``)``min` `=` `gfg.mini()`` ` `print``(``min``)`

Output :

2

Example #2 :

 `# import numpy``import` `numpy as np``import` `numpy.ma as ma`` ` `# using np.ma.mini() method``gfg ``=` `ma.array(np.arange(``10``), mask ``=``[``-``2``, ``-``1``, ``0``, ``1``, ``0``, ``3``, ``0``, ``0``, ``0``, ``0``]).reshape(``2``, ``5``)``min` `=` `gfg.mini()`` ` `print``(``min``)`

Output :

2

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