numpy.MaskedArray.flatten()La función se usa para devolver una copia de la array enmascarada de entrada colapsada en una dimensión.
Sintaxis:
numpy.ma.flatten(order='C')Parámetros:
orden: [‘C’, ‘F’, ‘A’, ‘K’, opcional] Si aplanar en orden C (fila principal), Fortran (columna principal), o conservar el orden C/Fortran de una. El valor predeterminado es ‘C’.Retorno: [ ndarray] Una copia de la array de entrada, aplanada a una dimensión.
Código #1:
# Python program explaining
# numpy.MaskedArray.flatten() 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.flatten methods to make
# it a 1D flattened array
out_arr = mask_arr.flatten()
print ("Output flattened masked array : ", out_arr)
Producción:
Input array : [[ 10 20] [-10 40]] Masked array : [[-- 20] [-10 40]] Output flattened masked array : [-- 20 -10 40]
Código #2:
# Python program explaining
# numpy.MaskedArray.flatten() 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.flatten methods to make
# it a 1D masked array
out_arr = mask_arr.flatten(order ='F')
print ("Output flattened masked array : ", out_arr)
Producción:
Input array : [[[ 2.e+08 3.e-05]] [[-4.e-06 2.e+05]]] Masked array : [[[-- 3e-05]] [[-4e-06 200000.0]]] Output flattened masked array : [-- -4e-06 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