def find_lifetime(M):
import MD.analysis.lifetime as lifetime
conn = _connections(M)
life = []
for i in range(3):
life.append(lifetime.lifetime(conn[i:])[:len(conn)-3])
life_avg = []
for i in range(len(life[0])):
avg = 0
for j in range(len(life)):
avg += life[j][i]/float(len(life))
life_avg.append(avg)
pyplot.plot(range(len(life_avg)),life_avg,xlabel='Time',
ylabel='remain connections', save='lifetime')
def find_lifetime(M,L,steps,temp,step_range=30,delta=4,rcut=1.0,step=5e4):
import MD.analysis.lifetime as life
try:
C = util.pickle_load('C.pkl')
G = util.pickle_load('G.pkl')
except:
C=M.cord_auto(['C'])
G=M.cord_auto(['G'])
util.pickle_dump(C,'C.pkl')
util.pickle_dump(G,'G.pkl')
#The total number of frames we are going to look at
for i in steps:
try:
print 'Frame',i,'Temp',temp[i]
except:
print i
x=np.arange(i,step_range+i,delta)
#Find he number of connections at specific points x
remain = life.lifetime(C[x],G[x],L)
x=np.arange(i,step_range+i,delta)*50000
print remain
pyplot_eps.plot(x,remain,xlabel='time', ylabel='remaining connections',
save='lifetime%i'%i)
plt.close()
