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Numpy MaskedArray .至少 _1d()函数| Python

原文:https://www . geeksforgeeks . org/numpy-masked array-至少 _1d-function-python/

numpy.MaskedArray.atleast_1d() 函数用于将输入转换为至少一维的屏蔽数组。标量输入被转换为一维数组，而高维输入被保留。

语法: numpy.ma.atleast_1d(*arys)

参数: arys:【array _ like】一个或多个输入数组。

返回:一个数组或数组列表，每个数组都有arr.ndim >= 1

代码#1 :

# Python program explaining
# numpy.MaskedArray.atleast_1d() 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(2)
print ("2nd Input array : ", in_arr2)

# Now we are creating  masked array. 
# by making  entry as invalid.  
mask_arr1 = ma.masked_array(in_arr1, mask =[[ 1, 0], [ 0, 1], [ 0, 0]]) 
print ("1st Masked array : ", mask_arr1)

mask_arr2 = ma.masked_array(in_arr2, mask = 0) 
print ("2nd Masked array : ", mask_arr2)

# applying MaskedArray.atleast_1d methods 
# to masked array 
out_arr = ma.atleast_1d(mask_arr1, mask_arr2) 
print ("Output masked array : ", out_arr) 

Output:

1st Input array :  [[ 1  2]
 [ 3 -1]
 [ 5 -3]]
2nd Input array :  2
1st Masked array :  [[-- 2]
 [3 --]
 [5 -3]]
2nd Masked array :  2
Output masked array :  [masked_array(
  data=[[--, 2],
        [3, --],
        [5, -3]],
  mask=[[ True, False],
        [False,  True],
        [False, False]],
  fill_value=999999), masked_array(data=[2],
             mask=[False],
       fill_value=999999)]

代码#2 :

# Python program explaining
# numpy.MaskedArray.atleast_1d() 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]], [[ -45.0, 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 ("3D Masked array : ", mask_arr) 

# applying MaskedArray.atleast_1d methods 
# to masked array
out_arr = ma.atleast_1d(mask_arr) 
print ("Output masked array : ", out_arr)

Output:

Input array :  [[[ 2.0e+08  3.0e-05]]

 [[-4.5e+01  2.0e+05]]]
3D Masked array :  [[[-- 3e-05]]

 [[-45.0 200000.0]]]
Output masked array :  [[[-- 3e-05]]

 [[-45.0 200000.0]]]
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