From: mdekauwe <mdekauwe@gm...>  20101213 22:03:33

Here is a solution which doesn't really use matplotlib, however it is a work around by interfacing with the R library. Personally I didn't like some of the colour choices which are hardwired in the R code so I adjusted the R code and recompiled, however this assumes the code is as it comes from Cran. It should produce a plot with two "models" compared to the observed. #!/usr/bin/env python import sys from rpy2.robjects.packages import importr import rpy2.robjects as robjects import numpy as np import rpy2.robjects.numpy2ri # Note depends on R package plotrix r = robjects.r p = importr('plotrix') r.pdf('x.pdf') # make up some data, compare (any number of) models with observed obs = np.random.random_sample(10) mod = np.random.random_sample(10) mod2 = np.random.random_sample(10) # etc model_list = [mod, mod2] first_model_comp = True # just a hack so that after first comparsion we call "add=True" colour_list = ['blue','green','red'] i = 0 for model in model_list: # make taylor plot... if first_model_comp == True: p.taylor_diagram(obs, model, normalize=False, main='', pos_cor=False, pcex=1.5, col=colour_list[i]) first_model_comp = False else: p.taylor_diagram(obs, model, add=True, normalize=False, pcex=1.5, col=colour_list[i]) i += 1 # Observations are hardwired in the R code, so this is hack so that everything is nicely # declared in the legend. All need to be passed as numpy arrays as Rpy2 has an issue with # tuples...no doubt there is a better solution, however this works! colour_list.append('darkgreen') colour_list = np.array(colour_list) shapes = np.array([19,19,15]) # circles and a square for the observation model_list.append("Observation") # add observation to the list of vars legendlist = np.array(['Model1', 'Model2']) r.legend("topleft", legend=legendlist, pch=shapes, col=colour_list, cex=0.75) r['dev.off']() Martin  View this message in context: http://old.nabble.com/Taylordiagramtp30421393p30449840.html Sent from the matplotlib  users mailing list archive at Nabble.com. 