I've used Python to analyze simulation data until now, but sometimes it's slower than I expected. So, I've been trying to use Julia these days, but It's hard for me to get familiar with it and also get information as much as python. That's why I am here for help!
Q1. The best way to import array directly from a file and export array to a file in Julia (I've used "numpy genfromtxt" & "numpy savetxt" in python) Q2. The best way to read strings and export these as string but also use specific format ('%10.3f' %, rjust, ljust so on.) in Julia
To understand my question properly, I also leave python code for the question.
Q1. The best way to import array directly from a file and export array to a file.
This array is in the test.txt file
1.1 -399.16
1.2 -398.21
2.4 -399.59
4.5 -401.51
2.2 -1071.64
2.3 -1074.35
5.5 -1077.36
9.7 -1069.9
14.0 -1731.35
14.2 -1739.84
import numpy as np
data = np.genfromtxt('D:\\JULIA\\test.txt')
np.savetxt('D:\\JULIA\\outdata.txt', data, fmt="%10.3f")
Q2. The best way to read strings and export these as string but use specifit format ('%10.3f' %, rjust, ljust so on.)
data = open('D:\\JULIA\\test.txt','r')
outdata = open('D:\\JULIA\\outdata.txt','w')
lines= data.readlines()
for line in lines:
splitline = line.split()
col1 = float(splitline[0])
col2 = float(splitline[1])
outdata.write(('%10.3f' % col1).rjust(20) +', ' +('%10.3f' %col2).rjust(40)+'\n')
data.close()
outdata.close()
Please answer me if there are the same or similar ways in Julia or just different way should be used in Julia.