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Python | Numpy np.ma.mini() method

Last Updated : 03 Nov, 2019
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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.
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. Python3 1=1
# 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 : Python3 1=1
# 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