numpy.MaskedArray.minimum_fill_value()  function is used to return the maximum value that can be represented by the dtype of an object.
Syntax :
numpy.ma.minimum_fill_value(obj)Parameters:
obj :[ ndarray, dtype or scalar ] The array data-type or scalar for which the maximum fill value is returned.Return : [ scalar ] The maximum fill value.
Code #1 :
| # Python program explaining # numpy.MaskedArray.minimum_fill_value() method     Â# importing numpy as geek   # and numpy.ma module as ma  importnumpy as geek  importnumpy.ma as ma     Â# creating input array   in_arr =geek.array([1,  3,  5, -3], dtype ='float') print("Input array : ", in_arr)     Â# Now we are creating a masked array.  # by making  entry as invalid.   mask_arr =ma.masked_array(in_arr, mask =[1, 0, 0, 0])  print("Masked array : ", mask_arr)     Â# applying MaskedArray.minimum_fill_value     # methods to masked array out_val =ma.minimum_fill_value(mask_arr)  print("Maximum filled value : ", out_val)   | 
Input array : [ 1. 3. 5. -3.] Masked array : [-- 3.0 5.0 -3.0] Maximum filled value : inf
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Code #2 :
| # Python program explaining # numpy.MaskedArray.minimum_fill_value() method     Â# importing numpy as geek   # and numpy.ma module as ma  importnumpy as geek  importnumpy.ma as ma     Â# creating input array   in_arr =geek.array([[1, 2], [ 3, -1], [ 5, -3]], dtype ='int') print("Input array : ", in_arr)     Â# Now we are creating a masked array.  # by making  entry as invalid.   mask_arr =ma.masked_array(in_arr, mask =[[1, 0], [ 1, 0], [ 0, 0]])  print("Masked array : ", mask_arr)     Â# applying MaskedArray.minimum_fill_value     # methods to masked array out_val =ma.minimum_fill_value(mask_arr)  print("Maximum filled value : ", out_val)   | 
Input array : [[ 1 2] [ 3 -1] [ 5 -3]] Masked array : [[-- 2] [-- -1] [5 -3]] Maximum filled value : 2147483647

 
                                    







