📜  Numpy MaskedArray.resize()函数| Python

📅  最后修改于: 2022-05-13 01:54:50.625000             🧑  作者: Mango

Numpy MaskedArray.resize()函数| Python

numpy.MaskedArray.resize()函数用于从给定数组中创建一个具有指定大小和形状的新掩码数组。新数组中填充了 arr 的重复副本(按照数据存储在内存中的顺序) .如果 arr 被屏蔽,则新数组将被屏蔽,新的屏蔽将是旧屏蔽的重复。

代码#1:

# Python program explaining
# numpy.MaskedArray.resize() method 
    
# importing numpy as geek  
# and numpy.ma module as ma 
import numpy as geek 
import numpy.ma as ma 
    
# creating input array of 2 * 2  
in_arr = geek.array([[10, 20], [-10, 40]]) 
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 =[[ 1, 0], [ 0, 0]]) 
print ("Masked array : ", mask_arr) 
    
# applying MaskedArray.resize methods to make  
# it a 3 * 3 masked array
out_arr = ma.resize(mask_arr, (3, 3)) 
print ("Output resized masked array : ", out_arr) 
输出:
Input array :  [[ 10  20]
 [-10  40]]
Masked array :  [[-- 20]
 [-10 40]]
Output resized masked array :  [[-- 20 -10]
 [40 -- 20]
 [-10 40 --]]

代码#2:

# Python program explaining
# numpy.MaskedArray.resize() 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([[[ 2e8, 3e-5]], [[ -4e-6, 2e5]]])
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 =[[[ 1, 0]], [[ 0, 0]]]) 
print ("Masked array : ", mask_arr) 
    
# applying MaskedArray.resize methods to make  
# it a 1 * 6 masked array
out_arr = ma.resize(mask_arr, (1, 6)) 
print ("Output resized masked array : ", out_arr)  
输出:
Input array :  [[[ 2.e+08  3.e-05]]

 [[-4.e-06  2.e+05]]]
Masked array :  [[[-- 3e-05]]

 [[-4e-06 200000.0]]]
Output resized masked array :  [[-- 3e-05 -4e-06 200000.0 -- 3e-05]]
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