Python Numpy MaskedArray.maximum_fill_value()用法及代碼示例

numpy.MaskedArray.maximum_fill_value()函數用於返回可以由對象的dtype表示的最小值。

用法： numpy.ma.maximum_fill_value(obj)

參數：
obj :[ndarray，dtype或標量]返回最小填充值的數組數據類型或標量。

Return :[標量]最小填充值。

代碼1：

# Python program explaining 
# numpy.MaskedArray.maximum_fill_value() method  
    
# importing numpy as geek   
# and numpy.ma module as ma  
import numpy as geek  
import numpy.ma as ma  
    
# creating input array   
in_arr = geek.array([1,  3,  5, -3], dtype ='float') 
print ("Input array:", in_arr)  
    
# 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)  
    
# applying MaskedArray.maximum_fill_value     
# methods to masked array 
out_val = ma.maximum_fill_value(mask_arr)  
print ("Minimum filled value:", out_val)

輸出：

Input array: [ 1.  3.  5. -3.]
Masked array: [-- 3.0 5.0 -3.0]
Minimum filled value: -inf

代碼2：

# Python program explaining 
# numpy.MaskedArray.maximum_fill_value() method  
    
# importing numpy as geek   
# and numpy.ma module as ma  
import numpy as geek  
import numpy.ma as ma  
    
# creating input array   
in_arr = geek.array([[1, 2], [ 3, -1], [ 5, -3]]) 
print ("Input array:", in_arr)  
    
# 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)  
    
# applying MaskedArray.maximum_fill_value     
# methods to masked array 
out_val = ma.maximum_fill_value(mask_arr)  
print ("Minimum filled value:", out_val)

輸出：

Input array: [[ 1  2]
 [ 3 -1]
 [ 5 -3]]
Masked array: [[-- 2]
 [-- -1]
 [5 -3]]
Minimum filled value: -2147483648

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注：本文由純淨天空篩選整理自jana_sayantan大神的英文原創作品 Numpy MaskedArray.maximum_fill_value() function | Python。非經特殊聲明，原始代碼版權歸原作者所有，本譯文未經允許或授權，請勿轉載或複製。