I have many dataset from files to be merged and arranged in one single output file. Here is the example of any two datasets to be merged accordingly.
Data 1 from File 1:
9.00 2.80 13.08 12.78 0.73
10.00 -3.44 19.30 18.99 0.14
12.00 2.60 20.28 20.12 0.39
Data 2 from File 2:
2.00 -7.73 20.04 18.49 0.62
5.00 -4.82 17.07 16.38 0.59
6.00 -2.69 12.55 12.25 0.50
8.00 -3.85 18.06 17.64 0.94
9.00 -3.59 16.13 15.73 0.64
Expected output in one file:
9.00 2.80 13.08 12.78 0.73
10.00 -3.44 19.30 18.99 0.14
12.00 2.60 20.28 20.12 0.39
2.00 -7.73 20.04 18.49 0.62
5.00 -4.82 17.07 16.38 0.59
6.00 -2.69 12.55 12.25 0.50
8.00 -3.85 18.06 17.64 0.94
9.00 -3.59 16.13 15.73 0.64
Temporarily the script i used using Python loop for is like this:
import numpy as np
import glob
path='./13-stat-plot-extreme-combine/'
files=glob.glob(path+'13-stat*.dat')
for x in range(len(files)):
file1=files[x]
data1=np.loadtxt(file1)
np.savetxt("Combine-Stats.dat",data1,fmt='%9.2f')
The problem is only one dataset is saved on that new file. Question how to use concatenate to such case at different axis dataset?
