6 import matplotlib.pyplot as plt
7 import matplotlib.cm as cm
11 with open('remd_all.stat','r') as f:
13 ncolumns=len(line.split())
16 x,y,s,r,ek,rms= np.loadtxt('remd_all.stat',usecols=(11,3,0,13,2,5),unpack=True)
17 x0,s0,r0= np.loadtxt('remd_all0.stat',usecols=(11,0,13),unpack=True)
19 x,y,s,r= np.loadtxt('remd_all.stat',usecols=(7,3,0,9),unpack=True)
20 x0,s0,r0= np.loadtxt('remd_all0.stat',usecols=(7,0,9),unpack=True)
22 hall,binall=np.histogram(y,bins=40,density=False)
24 plt.xlim(min(binall), max(binall[hall>4]))
25 plt.ylim(0,max(hall)/4)
26 plt.ylabel('number of samples')
27 plt.xlabel('potential energy [kcal/mol]')
29 #Tremd=[240, 260, 280, 300, 320, 340, 360, 390]
31 Tremd=map(float,sys.argv[1].split())
34 colors = cm.rainbow(np.linspace(0, 1, len(Tremd)))
35 for T,c in zip(Tremd,colors):
37 h,bin=np.histogram(yt,bins=40,density=False)
38 center = (bin[:-1] + bin[1:]) / 2
39 plt.plot(center,h,'-',color=c)
40 # plt.bar(bin[:-1], h, width = bin[2]-bin[1],color=c)
42 plt.savefig('remd_ene_hist.png')
46 plt.xlabel('bath temperature [K]')
47 plt.ylabel('potential energy [kcal/mol]')
49 plt.ylim(min(binall), max(binall[hall>4]))
50 plt.xlim(Tremd[0]-10, Tremd[-1]+10)
51 #Tremd=[240, 260, 280, 300, 320, 340, 360, 390]
52 colors = cm.rainbow(np.linspace(0, 1, len(Tremd)))
53 for T,c in zip(Tremd,colors):
56 plt.plot(xt,yt,'.',color=c)
58 plt.savefig('remd_Tene.png')
61 plt.ylabel('bath temperature [K]')
62 plt.xlabel('step*replica')
64 replica=range(int(sys.argv[2]))
65 colors = cm.rainbow(np.linspace(0, 1, len(replica)))
66 for i,c in zip(replica,colors):
68 xt=(s0+r0*max(s0))[r0==i]
69 plt.plot(xt,yt,'-',color=c)
71 plt.savefig('remd_ex.png')
77 plt.ylabel('potential energy')
79 for T,c in zip(Tremd,colors):
82 plt.plot(xt,yt,'.',color=c,ms=4)
85 plt.savefig('remd_ene_rms.png')
89 x,y,rms= np.loadtxt('file_wham.thermal',usecols=(0,6,4),unpack=True)
92 plt.xlabel('bath temperature [K]')
93 plt.ylabel('heat capacity')
94 plt.xlim(Tremd[1]-10, Tremd[-1]+10)
95 plt.plot(x,y,'-',color=c)
96 plt.savefig('remd_cv.png')
100 plt.xlabel('bath temperature [K]')
101 plt.ylabel('average RMSD')
102 plt.xlim(Tremd[1]-10, Tremd[-1]+10)
104 plt.savefig('remd_rmsd.png')