import numpy as np
import matplotlib.pyplot as plt




nps=13
ps=np.linspace(0.1,.5,nps)

clabels=['Intermediate','high','low']
Cind='spanning'
scale=128
for con in range(3):
	ci=np.zeros(nps)
	for ip in range(nps):
		folder=con*nps+ip
		ci[ip]=np.mean(np.load('./test_old/'+str(folder)+'/GlobalConnectivityMetrics/'+str(scale)+'.npy',allow_pickle=True).item()[Cind])
		ci_new=np.mean(np.load('./test_new/'+str(folder)+'/GlobalConnectivityMetrics/'+str(scale)+'.npy',allow_pickle=True).item()[Cind])
		'''
		print(ip,ci[ip],ci_new)
		if ci_new!=0:
			ci[ip]=ci[ip]/ci_new
		if ci_new==0 and ci[ip]!=0:
			ci[ip]=1000

		if ci_new==0 and ci[ip]==0:
			ci[ip]=1.0
		'''


	plt.plot(ps,ci,label=clabels[con]+'-'+str(con))

plt.legend()
plt.grid()
plt.show()
#plt.savefig(str(scale)+Cind+'.png')