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.
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