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scatter_3.py
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scatter_3.py
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import sdf
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
import numpy as np
from numpy import ma
from matplotlib import colors, ticker, cm
from matplotlib.mlab import bivariate_normal
from optparse import OptionParser
import os
#from colour import Color
######## Constant defined here ########
pi = 3.1415926535897932384626
q0 = 1.602176565e-19 # C
m0 = 9.10938291e-31 # kg
v0 = 2.99792458e8 # m/s^2
kb = 1.3806488e-23 # J/K
mu0 = 4.0e-7*pi # N/A^2
epsilon0 = 8.8541878176203899e-12 # F/m
h_planck = 6.62606957e-34 # J s
wavelength= 1.0e-6
frequency = v0*2*pi/wavelength
exunit = m0*v0*frequency/q0
bxunit = m0*frequency/q0
denunit = frequency**2*epsilon0*m0/q0**2
mport matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
import numpy as np
from numpy import ma
from matplotlib import colors, ticker, cm
from matplotlib.mlab import bivariate_normal
from optparse import OptionParser
import os
#from colour import Color
print 'electric field unit: '+str(exunit)
print 'magnetic field unit: '+str(bxunit)
print 'density unit nc: '+str(denunit)
font = {'family' : 'monospace',
'color' : 'black',
'weight' : 'normal',
'size' : 20,
}
######### Parameter you should set ###########
start = 0 # start time
stop = 211 # end time
step = 1 # the interval or step
Data = 'Data0/'
name = 'electron scattering plot'
######### Script code drawing figure ################
def main(from_path, to_path):
for n in range(start,stop+step,step):
#### header data ####
plt.subplots_adjust(left=0.05,right=0.95,bottom=0.1,top=0.95,wspace=0.25,hspace=0.3)
plt.subplot(1,3,1)
data0 = sdf.read("./epoch2dno/Data0/"+str(n).zfill(4)+".sdf",dict=True)
data1 = sdf.read("./epoch2drr/Data0/"+str(n).zfill(4)+".sdf",dict=True)
data2 = sdf.read("./epoch2dqe/Data0/"+str(n).zfill(4)+".sdf",dict=True)
header=data0['Header']
time=header['time']
x0 = data0['Grid/Particles/electron'].data[0]/1.0e-6
y0 = data0['Grid/Particles/electron'].data[1]/1.0e-6
x1 = data1['Grid/Particles/electron'].data[0]/1.0e-6
y1 = data1['Grid/Particles/electron'].data[1]/1.0e-6
x2 = data2['Grid/Particles/electron'].data[0]/1.0e-6
y2 = data2['Grid/Particles/electron'].data[1]/1.0e-6
x = data0['Grid/Grid_mid'].data[0]/1.0e-6
y = data0['Grid/Grid_mid'].data[1]/1.0e-6
X,Y = np.meshgrid(x,y)
ex = data0['Electric Field/Ey'].data/exunit
if np.min(ex.T) == np.max(ex.T):
continue
eee=np.max([-np.min(ex.T),np.max(ex.T)])
levels = np.linspace(-eee, eee, 24)
plt.contourf(X, Y, ex.T, levels=levels, cmap=cm.RdGy)
# plt.scatter(x0,y0,s=10,c=Color(rgb=(1,0,0)),label='1',edgecolors='None')
# plt.scatter(x1,y1,s=10,c=Color(rgb=(0,1,0)),label='1',edgecolors='None')
# plt.scatter(x2,y2,s=10,c=Color(rgb=(0,0,1)),label='1',edgecolors='None')
plt.scatter(x2,y2,s=8,c=(192.0/255.0,0,0),label='QED RR',edgecolors='None')
plt.scatter(x1,y1,s=8,c=(0,192.0/255.0,0),label='LL RR',edgecolors='None')
plt.scatter(x0,y0,s=8,c=(0,0,225.0/255.0),label='No RR',edgecolors='None')
plt.legend(loc='upper right',framealpha=1.0,markerscale=4.0,fontsize=20.0)
plt.xlim(0,100)
plt.ylim(-50,50)
plt.text(5,45,r'$\xi_0=250$',fontsize=20)
plt.xlabel('X [$\mu m$]',fontdict=font)
plt.ylabel('Y [$\mu m$]',fontdict=font)
plt.xticks(fontsize=20); plt.yticks(fontsize=20);
plt.title(name+' at '+str(round(time/3.3333e-15,6))+' $T_0$',fontdict=font)
plt.subplot(1,3,2)
data0 = sdf.read("./epoch2dno/Data1/"+str(n).zfill(4)+".sdf",dict=True)
data1 = sdf.read("./epoch2drr/Data1/"+str(n).zfill(4)+".sdf",dict=True)
data2 = sdf.read("./epoch2dqe/Data1/"+str(n).zfill(4)+".sdf",dict=True)
header=data0['Header']
time=header['time']
x0 = data0['Grid/Particles/electron'].data[0]/1.0e-6
y0 = data0['Grid/Particles/electron'].data[1]/1.0e-6
x1 = data1['Grid/Particles/electron'].data[0]/1.0e-6
y1 = data1['Grid/Particles/electron'].data[1]/1.0e-6
x2 = data2['Grid/Particles/electron'].data[0]/1.0e-6
y2 = data2['Grid/Particles/electron'].data[1]/1.0e-6
x = data0['Grid/Grid_mid'].data[0]/1.0e-6
y = data0['Grid/Grid_mid'].data[1]/1.0e-6
X,Y = np.meshgrid(x,y)
ex = data0['Electric Field/Ey'].data/exunit
if np.min(ex.T) == np.max(ex.T):
continue
eee=np.max([-np.min(ex.T),np.max(ex.T)])
levels = np.linspace(-eee, eee, 24)
plt.contourf(X, Y, ex.T, levels=levels, cmap=cm.RdGy)
# plt.scatter(x0,y0,s=10,c=Color(rgb=(1,0,0)),label='1',edgecolors='None')
# plt.scatter(x1,y1,s=10,c=Color(rgb=(0,1,0)),label='1',edgecolors='None')
# plt.scatter(x2,y2,s=10,c=Color(rgb=(0,0,1)),label='1',edgecolors='None')
plt.scatter(x2,y2,s=8,c=(192.0/255.0,0,0),label='QED RR',edgecolors='None')
plt.scatter(x1,y1,s=8,c=(0,192.0/255.0,0),label='LL RR',edgecolors='None')
plt.scatter(x0,y0,s=8,c=(0,0,225.0/255.0),label='No RR',edgecolors='None')
plt.legend(loc='upper right',framealpha=1.0,markerscale=4.0,fontsize=20.0)
plt.xlim(0,100)
plt.ylim(-50,50)
plt.text(5,45,r'$\xi_0=350$',fontsize=20)
plt.xlabel('X [$\mu m$]',fontdict=font)
plt.ylabel('Y [$\mu m$]',fontdict=font)
plt.xticks(fontsize=20); plt.yticks(fontsize=20);
plt.title(name+' at '+str(round(time/3.3333e-15,6))+' $T_0$',fontdict=font)
plt.subplot(1,3,3)
data0 = sdf.read("./epoch2dno/Data2/"+str(n).zfill(4)+".sdf",dict=True)
data1 = sdf.read("./epoch2drr/Data2/"+str(n).zfill(4)+".sdf",dict=True)
data2 = sdf.read("./epoch2dqe/Data2/"+str(n).zfill(4)+".sdf",dict=True)
header=data0['Header']
time=header['time']
x0 = data0['Grid/Particles/electron'].data[0]/1.0e-6
y0 = data0['Grid/Particles/electron'].data[1]/1.0e-6
x1 = data1['Grid/Particles/electron'].data[0]/1.0e-6
y1 = data1['Grid/Particles/electron'].data[1]/1.0e-6
x2 = data2['Grid/Particles/electron'].data[0]/1.0e-6
y2 = data2['Grid/Particles/electron'].data[1]/1.0e-6
x = data0['Grid/Grid_mid'].data[0]/1.0e-6
y = data0['Grid/Grid_mid'].data[1]/1.0e-6
X,Y = np.meshgrid(x,y)
ex = data0['Electric Field/Ey'].data/exunit
if np.min(ex.T) == np.max(ex.T):
continue
eee=np.max([-np.min(ex.T),np.max(ex.T)])
levels = np.linspace(-eee, eee, 24)
plt.contourf(X, Y, ex.T, levels=levels, cmap=cm.RdGy)
# plt.scatter(x0,y0,s=10,c=Color(rgb=(1,0,0)),label='1',edgecolors='None')
# plt.scatter(x1,y1,s=10,c=Color(rgb=(0,1,0)),label='1',edgecolors='None')
# plt.scatter(x2,y2,s=10,c=Color(rgb=(0,0,1)),label='1',edgecolors='None')
plt.scatter(x2,y2,s=8,c=(192.0/255.0,0,0),label='QED RR',edgecolors='None')
plt.scatter(x1,y1,s=8,c=(0,192.0/255.0,0),label='LL RR',edgecolors='None')
plt.scatter(x0,y0,s=8,c=(0,0,225.0/255.0),label='No RR',edgecolors='None')
plt.legend(loc='upper right',framealpha=1.0,markerscale=4.0,fontsize=20.0)
plt.xlim(0,100)
plt.ylim(-50,50)
plt.text(5,45,r'$\xi_0=450$',fontsize=20)
plt.xlabel('X [$\mu m$]',fontdict=font)
plt.ylabel('Y [$\mu m$]',fontdict=font)
plt.xticks(fontsize=20); plt.yticks(fontsize=20);
plt.title(name+' at '+str(round(time/3.3333e-15,6))+' $T_0$',fontdict=font)
fig = plt.gcf()
fig.set_size_inches(30, 9)
fig.savefig(to_path+'scatter'+str(n).zfill(4)+'.png',format='png',dpi=60)
plt.close("all")
print 'finised '+str(round(100.0*(n-start+step)/(stop-start+step),4))+'%'
if __name__ == "__main__":
parser = OptionParser()
parser.add_option("-f","--from_path",
dest = "from_path",
type = "string",
default = "Data")
parser.add_option("-t","--to_path",
dest = "to_path",
type = "string",
default = "jpg")
(option,args) = parser.parse_args()
if option.from_path[-1:] != '/' :
option.from_path += '/'
option.to_path = option.to_path
if option.to_path[-1:] != '/' :
option.to_path += '/'
if not os.path.exists(option.from_path):
print 'error: input data path not exist'
# exit()
print "from path:", option.from_path
print "to path:", option.to_path
#if not os.path.exists(option.to_path):
# os.mkdir(option.to_path)
main(option.from_path,option.to_path)