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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:
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')
cn_rho, = axr.plot([],[],color='#FF0000')
pl.subplot(212)
axJ=fig.gca()
asym_J, = axJ.plot([],[],linewidth=3.5,color='#00FF00')
cn_J, = axJ.plot([],[],color='#FF0000')
# 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]>maxyr:
maxyr=frame[i][3]
if frame[i][4]>maxyJ:
maxyJ=frame[i][4]
if frame[i][5]>maxyJ:
maxyJ=frame[i][5]
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]<minyr:
minyr=frame[i][3]
if frame[i][4]<minyJ:
minyJ=frame[i][4]
if frame[i][5]<minyJ:
minyJ=frame[i][5]
# 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")
axJ.hlines(0,xmin,xmax,linestyles="dotted")
def update(frame):
axr.set_title("t=% .3f fs" % (frame[0][0]))
xdata=[]
ydata=[]
asym_data=[]
cn_data=[]
for i in range(len(frame)):
xdata.append(frame[i][1])
asym_data.append(frame[i][2])
cn_data.append(frame[i][3])
asym_rho.set_data(xdata,asym_data)
cn_rho.set_data(xdata,cn_data)
xdata=[]
ydata=[]
asym_data=[]
cn_data=[]
for i in range(len(frame)):
xdata.append(frame[i][1])
asym_data.append(frame[i][4])
cn_data.append(frame[i][5])
asym_J.set_data(xdata,asym_data)
cn_J.set_data(xdata,cn_data)
anim = animation.FuncAnimation(fig, update, frames=frames, blit=False, interval=100, repeat=True, init_func=init_plot)
#anim.save('laser_schrodinger.m4v', fps=10, extra_args=['-vcodec', 'libx264'])
pl.show()
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