numpy.MaskedArray.transpose()La función se utiliza para permutar las dimensiones de una array enmascarada.
Sintaxis:
numpy.ma.transpose(axis)Parámetros:
eje: [lista de enteros, opcional] Por defecto, invierte las dimensiones, de lo contrario, permuta los ejes de acuerdo con los valores dados.Retorno: [ ndarray] Array resultante con sus ejes permutados..
Código #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)
Producción:
Input array : [[ 1 2] [ 3 -1] [ 5 -3]] Masked array : [[-- 2] [3 --] [5 -3]] Output transposed masked array : [[-- 3 5]
Código #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)
Producción:
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]]]
Publicación traducida automáticamente
Artículo escrito por jana_sayantan y traducido por Barcelona Geeks. The original can be accessed here. Licence: CCBY-SA