Numpy MaskedArray.transpose() function | Python
Last Updated :
13 Oct, 2019
numpy.MaskedArray.transpose()
function is used to permute the dimensions of an masked array.
Syntax : numpy.ma.transpose(axis)
Parameters:
axis :[list of ints, optional] By default, reverse the dimensions, otherwise permute the axes according to the values given.
Return : [ ndarray] Resultant array with its axes permuted..
Code #1 :
import numpy as geek
import numpy.ma as ma
in_arr = geek.array([[ 1 , 2 ], [ 3 , - 1 ], [ 5 , - 3 ]])
print ( "Input array : " , in_arr)
mask_arr = ma.masked_array(in_arr, mask = [[ 1 , 0 ], [ 0 , 1 ], [ 0 , 0 ]])
print ( "Masked array : " , mask_arr)
out_arr = mask_arr.transpose()
print ( "Output transposed masked array : " , out_arr)
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Output:
Input array : [[ 1 2]
[ 3 -1]
[ 5 -3]]
Masked array : [[-- 2]
[3 --]
[5 -3]]
Output transposed masked array : [[-- 3 5]
Code #2 :
import numpy as geek
import numpy.ma as ma
in_arr = geek.array([[[ 2e8 , 3e - 5 ]], [[ - 45.0 , 2e5 ]]])
print ( "Input array : " , in_arr)
mask_arr = ma.masked_array(in_arr, mask = [[[ 1 , 0 ]], [[ 0 , 0 ]]])
print ( "3D Masked array : " , mask_arr)
out_arr = mask_arr.transpose()
print ( "Output transposed masked array : " , out_arr)
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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]]]
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