Numpy maskearray .转置()函数| Python
原文:https://www . geeksforgeeks . org/numpy-masked array-transpose-function-python/
numpy.MaskedArray.transpose() 函数用于置换被屏蔽数组的维度。
语法:
numpy.ma.transpose(axis)参数: 轴:【整数列表，可选】默认情况下，反转尺寸，否则根据给定值排列轴。
返回:【ndarray】轴已置换的结果数组..
代码#1 :
# Python program explaining
# numpy.MaskedArray.transpose() 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], [ 0, 1], [ 0, 0]])
print ("Masked array : ", mask_arr)
# applying MaskedArray.transpose methods
# to masked array
out_arr = mask_arr.transpose()
print ("Output transposed masked array : ", out_arr)
Output:
Input array : [[ 1 2]
[ 3 -1]
[ 5 -3]]
Masked array : [[-- 2]
[3 --]
[5 -3]]
Output transposed masked array : [[-- 3 5]
代码#2 :
# Python program explaining
# numpy.MaskedArray.transpose() 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.transpose methods
# to masked array
out_arr = mask_arr.transpose()
print ("Output transposed 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 transposed masked array : [[[-- -45.0]]
[[3e-05 200000.0]]]
