From 5b0228fea81340f29be020feeed1e806ec30ca60 Mon Sep 17 00:00:00 2001
From: Ian Jauslin <jauslin@ias.edu>
Date: Fri, 22 Feb 2019 19:17:42 +0000
Subject: As presented at Georgia Tech on 2019-02-22

---
 figs/animation/animate.py | 128 ++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 128 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..6203fb7
--- /dev/null
+++ b/figs/animation/animate.py
@@ -0,0 +1,128 @@
+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")
+    return rho,J
+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)
+    return rho,J
+anim = animation.FuncAnimation(fig, update, frames=frames, blit=False, interval=100, repeat=True, init_func=init_plot)
+pl.show()
-- 
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