# Python | Numpy np.ma.mini () method

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

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

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

 ` # NumPy import ` ` import ` ` numpy as np ` ` import ` ` numpy.ma as ma `   ` # using the np method. ma.mini () ` ` 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:

` `

 ` # NumPy import ` ` import ` ` numpy as np ` ` import ` ` numpy.ma as ma `   ` # using the 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