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


numpy.MaskedArray.mean()函數用於返回沿給定軸的被屏蔽數組元素的平均值,此處被屏蔽的條目將被忽略,並且非限定結果元素將被屏蔽。

用法: numpy.ma.mean(axis=None, dtype=None, out=None)

參數:


axis :[int,可選]計算平均值的軸。默認值(無)是計算平坦數組的平均值。
dtype : [dtype,可選]返回數組的類型,以及與元素相乘的累加器的類型。
out : [ndarray,可選]將結果存儲到的位置。
->如果提供,則必須具有廣播輸入的形狀。
->如果未提供或沒有,則返回新分配的數組。

返回:[mean_along_axis,ndarray]除非指定out,否則將返回保存結果的新數組,在這種情況下,將返回對out的引用。

代碼1:

# Python program explaining 
# numpy.MaskedArray.mean() 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.mean     
# methods to masked array 
out_arr = mask_arr.mean()  
print ("mean of masked array along default axis : ", out_arr) 
輸出:
Input array :  [[ 1  2]
 [ 3 -1]
 [ 5 -3]]
Masked array :  [[-- 2]
 [-- -1]
 [5 -3]]
mean of masked array along default axis :  0.75

代碼2:

# Python program explaining 
# numpy.MaskedArray.mean() 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, 0, 3], [ 4, 1, 6]])  
print ("Input array : ", in_arr) 
      
# Now we are creating a masked array.  
# by making one entry as invalid.   
mask_arr = ma.masked_array(in_arr, mask =[[ 0, 0, 0], [ 0, 0, 1]])  
print ("Masked array : ", mask_arr)  
     
# applying MaskedArray.mean methods  
# to masked array 
out_arr1 = mask_arr.mean(axis = 0)  
print ("mean of masked array along 0 axis : ", out_arr1) 
  
out_arr2 = mask_arr.mean(axis = 1)  
print ("mean of masked array along 1 axis : ", out_arr2)
輸出:
Input array :  [[1 0 3]
 [4 1 6]]
Masked array :  [[1 0 3]
 [4 1 --]]
mean of masked array along 0 axis :  [2.5 0.5 3.0]
mean of masked array along 1 axis :  [1.3333333333333333 2.5]


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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.mean() 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。