From df7449e4a29ec8d3182cf7b2aebcb86f7ac596c2 Mon Sep 17 00:00:00 2001
From: Ian Jauslin <jauslin@ias.edu>
Date: Wed, 22 May 2019 22:59:03 -0400
Subject: As presented at VirginiaTech on 2019-05-24

---
 figs/animation/animate.py | 127 ++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 127 insertions(+)
 create mode 100644 figs/animation/animate.py

(limited to 'figs/animation/animate.py')

diff --git a/figs/animation/animate.py b/figs/animation/animate.py
new file mode 100644
index 0000000..aaa3a80
--- /dev/null
+++ b/figs/animation/animate.py
@@ -0,0 +1,127 @@
+from matplotlib import pyplot as pl
+from matplotlib import animation
+import sys
+
+# read data
+# time dependent data
+frames=[]
+# asymptotic data (located in the first block)
+asym=[]
+infile=open(sys.argv[1],'r')
+row=[]
+for line in infile:
+    # read first block
+    if len(asym)==0:
+        if line=='\n':
+            asym=row
+            row=[]
+        else:
+            dat=[]
+            for n in line.split():
+                dat.append(float(n))
+            row.append(dat)
+    # read other blocks
+    else:
+        if line=='\n':
+            frames.append(row)
+            row=[]
+        else:
+            dat=[]
+            for n in line.split():
+                dat.append(float(n))
+            row.append(dat)
+infile.close()
+
+
+# set up plot
+fig = pl.figure()
+#pl.subplot(211)
+axr=fig.gca()
+asym_rho, = axr.plot([],[],linewidth=3.5,color='#00FF00')
+rho, = axr.plot([],[],color='red')
+
+#pl.subplot(212)
+#axJ=fig.gca()
+#asym_J, = axJ.plot([],[],linewidth=3.5,color='#00FF00')
+#J, = axJ.plot([],[],color='red')
+
+# plot ranges
+xmax=0
+maxyr=0
+maxyJ=0
+for frame in frames:
+    for i in range(len(frame)):
+        if frame[i][1]>xmax:
+            xmax=frame[i][1]
+        if frame[i][2]>maxyr:
+            maxyr=frame[i][2]
+        if frame[i][3]>maxyJ:
+            maxyJ=frame[i][3]
+for i in range(len(asym)):
+    if asym[i][0]>xmax:
+        xmax=asym[i][0]
+    if asym[i][1]>maxyr:
+        maxyr=asym[i][1]
+    if asym[i][2]>maxyJ:
+        maxyJ=asym[i][2]
+xmin=0
+minyr=0
+minyJ=0
+for frame in frames:
+    for i in range(len(frame)):
+        if frame[i][1]<xmin:
+            xmin=frame[i][1]
+        if frame[i][2]<minyr:
+            minyr=frame[i][2]
+        if frame[i][3]<minyJ:
+            minyJ=frame[i][3]
+for i in range(len(asym)):
+    if asym[i][0]<xmin:
+        xmin=asym[i][0]
+    if asym[i][1]<minyr:
+        minyr=asym[i][1]
+    if asym[i][2]<minyJ:
+        minyJ=asym[i][2]
+
+
+# plot asymptotes
+asym_rho_datax=[]
+asym_rho_datay=[]
+for i in range(len(asym)):
+    asym_rho_datax.append(asym[i][0])
+    asym_rho_datay.append(asym[i][1])
+asym_rho.set_data(asym_rho_datax,asym_rho_datay)
+#asym_J_datax=[]
+#asym_J_datay=[]
+#for i in range(len(asym)):
+#    asym_J_datax.append(asym[i][0])
+#    asym_J_datay.append(asym[i][2])
+#asym_J.set_data(asym_J_datax,asym_J_datay)
+
+# animate
+def init_plot():
+    axr.set_ylim(minyr,maxyr)
+    axr.set_xlim(xmin,xmax)
+    #axJ.set_ylim(minyJ,maxyJ)
+    #axJ.set_xlim(xmin,xmax)
+
+    axr.vlines(0,minyr,maxyr,linestyles="dotted")
+    #axJ.vlines(0,minyJ,maxyJ,linestyles="dotted")
+def update(frame):
+    axr.set_title("t=% .3f fs" % (frame[0][0]))
+    xdata=[]
+    ydata=[]
+    for i in range(len(frame)):
+        xdata.append(frame[i][1])
+        ydata.append(frame[i][2])
+    rho.set_data(xdata,ydata)
+
+    #xdata=[]
+    #ydata=[]
+    #for i in range(len(frame)):
+    #    xdata.append(frame[i][1])
+    #    ydata.append(frame[i][3])
+    #J.set_data(xdata,ydata)
+anim = animation.FuncAnimation(fig, update, frames=frames, blit=False, interval=100, repeat=True, init_func=init_plot)
+#anim.save('schrodinger_barrier.mp4', fps=15, extra_args=['-vcodec', 'libx264'])
+pl.show()
-- 
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