numpy.MaskedArray.common_fill_value() function is used to return the common filling value between two masked arrays.If arr1.fill_value == arr2.fill_value then it returns the fill value, otherwise return None.
Syntax :
numpy.ma.common_fill_value(arr1, arr2)Parameters:
arr1, arr2 :[ MaskedArray ] The masked arrays for which to compare fill values.Return : [ scalar or None] The common fill value or None.
Code #1 :
# Python program explaining # numpy.MaskedArray.common_fill_value() method     # importing numpy as geek  # and numpy.ma module as ma import numpy as geek import numpy.ma as ma     # creating input arrays  in_arr1 = geek.array([[1, 2], [ 3, -1], [ 5, -3]]) print ("1st Input array : ", in_arr1)   in_arr2 = geek.array([[10, 20], [ 30, -10], [ 50, -30]]) print ("2nd Input array : ", in_arr2)     # Now we are creating masked arrays. # by making entry as invalid.  mask_arr1 = ma.masked_array(in_arr1, mask =[[1, 0], [ 1, 0], [ 0, 0]],                                                        fill_value = 5) print ("1st Masked array : ", mask_arr1)   mask_arr2 = ma.masked_array(in_arr2, mask =[[1, 1], [ 1, 0], [ 0, 0]],                                                       fill_value = 5) print ("2nd Masked array : ", mask_arr2)     # applying MaskedArray.common_fill_value    # methods to masked array out_arr = ma.common_fill_value(mask_arr1, mask_arr2) print ("common filled value : ", out_arr) |
Output:
1st Input array : [[ 1 2] [ 3 -1] [ 5 -3]] 2nd Input array : [[ 10 20] [ 30 -10] [ 50 -30]] 1st Masked array : [[-- 2] [-- -1] [5 -3]] 2nd Masked array : [[-- --] [-- -10] [50 -30]] common filled value : 5
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Code #2 :
# Python program explaining # numpy.MaskedArray.common_fill_value() method     # importing numpy as geek  # and numpy.ma module as ma import numpy as geek import numpy.ma as ma     # creating input arrays  in_arr1 = geek.array([[1, 2], [ 3, -1], [ 5, -3]]) print ("1st Input array : ", in_arr1)   in_arr2 = geek.array([[10, 20], [ 30, -10], [ 50, -30]]) print ("2nd Input array : ", in_arr2)     # Now we are creating masked arrays. # by making entry as invalid.  mask_arr1 = ma.masked_array(in_arr1, mask =[[1, 0], [ 1, 0], [ 0, 0]],                                                       fill_value = 5) print ("1st Masked array : ", mask_arr1)   mask_arr2 = ma.masked_array(in_arr2, mask =[[1, 1], [ 1, 0], [ 0, 0]],                                                      fill_value = 10) print ("2nd Masked array : ", mask_arr2)     # applying MaskedArray.common_fill_value    # methods to masked array out_arr = ma.common_fill_value(mask_arr1, mask_arr2) print ("common filled value : ", out_arr) |
Output:
1st Input array : [[ 1 2] [ 3 -1] [ 5 -3]] 2nd Input array : [[ 10 20] [ 30 -10] [ 50 -30]] 1st Masked array : [[-- 2] [-- -1] [5 -3]] 2nd Masked array : [[-- --] [-- -10] [50 -30]] common filled value : None
