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()