在android 2.x上创建Uint8array的替代品(create a substitute of Uint8array on android 2.x)

 np.savetxt写入一维数组，每行一个元素。 
 
 np.savetxt写入每行一行的二维数组。 
 
 这解释了为什么scipy.savetxt('y.txt', y...)为您提供了一个长列。 此外，numpy / scipy认为(x, y)是一维元组，而不是二维数组。 这就是你得到的原因 
 
0 1 2 3 4 5
10 11 12 13 14 15
 
 输出。 
 
 因此，要获得所需的输出，请传递二维数组。 正如您所指出的，使用np.column_stack可能是最简单的方法： 
 
import numpy as np
np.savetxt(filename, np.column_stack((x,y)), fmt='%g')
 
 要将数据读回x和y变量，请使用unpack=True参数： 
 
x, y = np.genfromtxt(filename, unpack=True)

np.savetxt writes 1-dimensional arrays with one element per line.
 
np.savetxt writes 2-dimensional arrays with one row per line.
 
This explains why scipy.savetxt('y.txt', y...) gives you one long column. Also, numpy/scipy considers (x, y) to be a 1-dimensional tuple, not a 2-dimensional array. This is why you get 
 
0 1 2 3 4 5
10 11 12 13 14 15
 
for output.
 
So, to get the desired output, pass a 2-dimensional array. Using np.column_stack, as you noted, is probably the easiest way:
 
import numpy as np
np.savetxt(filename, np.column_stack((x,y)), fmt='%g')
 
To read the data back into x and y variables, use the unpack=True parameter:
 
x, y = np.genfromtxt(filename, unpack=True)