URI:
       tlet matplotlib handle color - sphere - GPU-based 3D discrete element method algorithm with optional fluid coupling
  HTML git clone git://src.adamsgaard.dk/sphere
   DIR Log
   DIR Files
   DIR Refs
   DIR LICENSE
       ---
   DIR commit 06efa7b47696dff9b2e3cf531fd0dc5dbf2b5f24
   DIR parent f505b33d5273d15b321358d1acf0fd3852842800
  HTML Author: Anders Damsgaard <anders.damsgaard@geo.au.dk>
       Date:   Thu, 21 Aug 2014 11:32:13 +0200
       
       let matplotlib handle color
       
       Diffstat:
         M python/permeability-results.py      |       2 +-
       
       1 file changed, 1 insertion(+), 1 deletion(-)
       ---
   DIR diff --git a/python/permeability-results.py b/python/permeability-results.py
       t@@ -60,7 +60,7 @@ plt.ylabel('Hydraulic conductivity $K$ [ms$^{-1}$]')
        plt.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
        for c in range(len(c_vals)):
            dpdz /= 1000.0
       -    plt.plot(dpdz[c], K[c], 'o-k', label='$c$ = %.2f' % (c_vals[c]))
       +    plt.plot(dpdz[c], K[c], 'o-', label='$c$ = %.2f' % (c_vals[c]))
        plt.grid()
        
        #plt.subplot(3,1,2)