Try tricontourf; I've attached an example. Most of the example code is manipulating your input data and calculating the connectivity of your grid.
I hope this helps, Ian Thomas
import matplotlib.pyplot as plt
import numpy as np
x,y1,y2,y3,y4,stress = np.loadtxt('data.txt', skiprows=2, delimiter=',', unpack=True)
# Arrays of all the point coordinates and stresses.
n = len(x)
x = np.hstack((x,x,x,x))
y = np.hstack((y1,y2,y3,y4))
stress = np.hstack((stress,stress,stress,stress))
# Triangle connectivity.
triangles = []
for i in range(n-1):
triangles.append([i,i+1,n+i])
triangles.append([i+1,n+i+1,n+i])
triangles.append([2*n+i,2*n+i+1,3*n+i])
triangles.append([2*n+i+1,3*n+i+1,3*n+i])
# Plot.
plt.tricontourf(x, y, triangles, stress)
plt.colorbar()
plt.show()
<<attachment: test.png>>
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