Python Numpy MaskedArray.common_fill_value()用法及代码示例

numpy.MaskedArray.common_fill_value() 函数用于返回两个掩码数组之间的公共填充值。arr1.fill_value == arr2.fill_value然后返回填充值，否则返回无。

用法： numpy.ma.common_fill_value(arr1, arr2)

参数：
arr1，arr2：[MaskedArray]要为其比较填充值的被遮罩的数组。

Return :[标量或无]通用填充值或无。

代码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)

输出：

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

代码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)

输出：

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

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注：本文由纯净天空筛选整理自jana_sayantan大神的英文原创作品 Numpy MaskedArray.common_fill_value() function | Python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。