Numpy maskearray . flat()函数| Python
原文:https://www . geeksforgeeks . org/numpy-masked array-flat-function-python/
numpy.MaskedArray.flatten() 功能是用来返回一个输入蒙版数组折叠成一维的副本。
语法:
numpy.ma.flatten(order='C')参数: 顺序:【‘C’，‘F’，‘A’，‘K’，可选】是按 C(行-主)、Fortran(列-主)顺序展平，还是保留 C/Fortran 从 A 开始排序，默认为‘C’。
返回:【n 数组】输入数组的副本，展平到一维。
代码#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)
Output:
Input array : [[ 10 20]
[-10 40]]
Masked array : [[-- 20]
[-10 40]]
Output flattened masked array : [-- 20 -10 40]
代码#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)
Output:
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]
