I plotted a surface using python and matplotlib but now I want to color it by its statistical significance.
So far I did:
import pylab as pl
import matplotlib.pyplot
import mpl_toolkits.mplot3d.axes3d as p3
from mpl_toolkits.mplot3d import Axes3D
fig = pl.figure()
ax = p3.Axes3D(fig)
x = N.array(intralist)
y = N.array(interlist)
Y,X = pl.meshgrid(y,x)
z = N.zeros((21,21))
for i in range(21):
for j in range(21):
z[i][j]=Fslist[i][j]
ax.plot_surface(X,Y,z)
ax.set_xlabel('Intracorrelation')
ax.set_ylabel('Intercorrelation')
ax.set_zlabel('F-Score')
pl.savefig('F-score.png', dpi=600, format='png')
However, I also test the significance of the correlations, and I want to map the F-score with the significance in the same plot. In summary I want to plot intracorrelation (X axis), intercorrelation (Y axis), F-score (Z axis) and statistical significance (color).
I have been checking in the internet, but I haven't been lucky.
