def plot_analytic(current_data):
import pylab
N = 2000 # number of cells
X = linspace(-1000.,1000.,N+1) # vertices of cells
t = current_data.t
(u,h,w,z,mom) = analytical_sol(X,t)
pylab.plot(X,w,'r--')
pylab.legend(['Topography', 'GeoClaw Solution', 'Analytic Solution'], loc='upper left')
from numpy import *
from matplotlib import *
from pylab import *
from analytical_solution_landslide import analytical_sol
N = 100 # number of cells
X = linspace(-1000.,1000.,N+1) # vertices of cells
t_compare = 15
(u,h,w,z,mom) = analytical_sol(X,t_compare)
figure(1)
plot(X,w,X,z)
title('State of the slide at time t = %s' %t_compare)
legend(('stage','topography'))
show()
