Making Python code more compact and efficient

Question

I have the following code, which basically load some data files that I have in different folders, take an average of every repeat at each Temperature and then plot the results. The code works fine, and it was OK when I had only a couple of set of data. But now I have 9 different set of temperature each with 5 repeat each and the code is becoming too long in my opinion. Is there a way to consolidate it? Thanks!

import numpy as np 
import matplotlib.pyplot as plt

steps    = np.loadtxt('/home/aperego/data/HexaPaper/nvt/303K/1st/Average_MSD.txt',usecols=[0])


# T = 303 K

msd303_1 = np.loadtxt('/home/aperego/data/HexaPaper/nvt/303K/1st/Average_MSD.txt',usecols=[1])
msd303_2 = np.loadtxt('/home/aperego/data/HexaPaper/nvt/303K/2nd/Average_MSD.txt',usecols=[1])
msd303_3 = np.loadtxt('/home/aperego/data/HexaPaper/nvt/303K/3rd/Average_MSD.txt',usecols=[1])
msd303_4 = np.loadtxt('/home/aperego/data/HexaPaper/nvt/303K/4th/Average_MSD.txt',usecols=[1])
msd303_5 = np.loadtxt('/home/aperego/data/HexaPaper/nvt/303K/5th/Average_MSD.txt',usecols=[1])

msd303 = np.vstack((msd303_1,msd303_2,msd303_3,msd303_4,msd303_5)).T
msd303_mean = np.mean(msd303,axis=1)
msd303_std = np.std(msd303,axis=1)

# T = 313 K

msd313_1 = np.loadtxt('/home/aperego/data/HexaPaper/nvt/313K/1st/Average_MSD.txt',usecols=[1])
msd313_2 = np.loadtxt('/home/aperego/data/HexaPaper/nvt/313K/2nd/Average_MSD.txt',usecols=[1])
msd313_3 = np.loadtxt('/home/aperego/data/HexaPaper/nvt/313K/3rd/Average_MSD.txt',usecols=[1])
msd313_4 = np.loadtxt('/home/aperego/data/HexaPaper/nvt/313K/4th/Average_MSD.txt',usecols=[1])
msd313_5 = np.loadtxt('/home/aperego/data/HexaPaper/nvt/313K/5th/Average_MSD.txt',usecols=[1])

msd313 = np.vstack((msd313_1,msd313_2,msd313_3,msd313_4,msd313_5)).T
msd313_mean = np.mean(msd313,axis=1)
msd313_std = np.std(msd313,axis=1)


plt.yscale("log")
plt.xscale("log")
plt.plot(steps,msd303_mean)
plt.plot(steps,msd313_mean)

Answer 1

np.loadtxt('/home/aperego/data/HexaPaper/nvt/303K/1st/Average_MSD.txt',usecols=[1])

Since you run this a lot, try replacing with

def load(pos):
    return np.loadtxt('/home/aperego/data/HexaPaper/nvt/303K/'+pos+'/Average_MSD.txt',usecols=[1])

Then using msd303_1 = load('1st') . Not a huge improvement but more readable.