def TSPlot(timeSeries,timeStep):
N = np.arange(0,timeSeries.shape[0],1)
fig = plt.figure()
plt.logplot(N * timeStep, timeSeries)
plt.show()
return plt
def TSPlot(timeSeries,timeStep):
N = np.arange(0,timeSeries.shape[0],1)
fig = plt.figure()
plt.logplot(N * timeStep, timeSeries)
plt.show()
return plt
lefts100 = genfromtxt('pTrans = 1.csv', delimiter='/n')
nLefts100 = lefts100[1:] / 1000
lefts050 = genfromtxt('pTrans = 0.50.csv', delimiter='/n')
nLefts050 = lefts050[1:]/ 1000
lefts025 = genfromtxt('pTrans = 0.25.csv', delimiter='/n')
nLefts025 = lefts025[1:] / 1000
lefts010 = genfromtxt('pTrans = 0.10.csv', delimiter='/n')
nLefts010 = lefts010[1:] / 1000
lefts001 = genfromtxt('pTrans = 0.01.csv', delimiter='/n')
nLefts001 = lefts001[1:] / 5000
N = np.arange(0,timeSeries.shape[0]-1,1)
fig = plt.figure()
plt.logplot(N * timeStep, lefts100,'-',
N * timeStep, lefts050,'-',
N * timeStep, lefts025,'-',
N * timeStep, lefts010,'-',
N * timeStep, lefts001,'-')
plt.show()
