debugg gif conversion, and add saved plots

lib/integrator.py

@@ -70,8 +70,10 @@ def frogleap(duration, step, dyn_syst, recover_param=False, display=False):
             d.on_running(q_array[:,0]-q_cm[0], q_array[:,1]-q_cm[1], step=j, label="step {0:d}/{1:d}".format(j,N))
             time.sleep(1e-4)
     if display:
-        system("convert -delay 5 -loop 0 tmp/????.png tmp/temp.gif && rm tmp/?????.png")
+        try:
-        system("convert tmp/temp.gif -fuzz 10% -layers Optimize dynsyst.gif && rm tmp/temp.gif")
+            system("mkdir tmp")
+        system("convert -delay 5 -loop 0 tmp/?????.png tmp/temp.gif && rm tmp/?????.png")
+        system("convert tmp/temp.gif -fuzz 30% -layers Optimize plots/dynsyst.gif && rm tmp/temp.gif")
         
     if recover_param:
         return E, L

main.py

@@ -21,21 +21,23 @@ def main():
     v = np.array([v1, v2, v3])
 
     bodylist = []
-    for i in range(2):
+    for i in range(2): # For a system of 2 objects
         bodylist.append(Body(m[i], q[i], v[i]))
     dyn_syst = System(bodylist)
     dyn_syst.COMShift()
 
-    duration, step = 100, 0.01
+    duration, step = 50, 0.01
     E, L = frogleap(duration, step, dyn_syst, recover_param=True, display=True)
     fig1 = plt.figure()
     ax1 = fig1.add_subplot(111)
     ax1.plot(np.arange(E.shape[0])/duration, E, label=r"$E_m$")
     ax1.legend()
+    fig1.savefig("plots/Em.png",bbox_inches="tight")
     fig2 = plt.figure()
     ax2 = fig2.add_subplot(111)
     ax2.plot(np.arange(L.shape[0])/duration, np.sum(L**2,axis=1), label=r"$L^2$")
     ax2.legend()
+    fig2.savefig("plots/L2.png",bbox_inches="tight")
     plt.show(block=True)
     return 0