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plt_Fig2b_paper.py
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plt_Fig2b_paper.py
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#!/usr/bin/python
#import SimulResult as sr
import numpy as np
from SimulData import *
################## INPUT PARAMETERS ##################
strF2B = "1.0"
strB2FList = ["0.001" ]#["0.000001", "0.00001", "0.0001", "0.001", "0.01", "0.1", "1.0" ]
strB2BList = ["0.000001", "0.00001", "0.0001", "0.001", "0.01", "0.1", "1.0" ]
#strB2B = "0.000001" #["0.2", "0.4", "0.6", "0.8", "1.0"]
strHrad = "40"
strBrad = "41"
Directory = "RandomIniCond_02/"
flnPrefix = Directory + "rw3D_RegularPorousDepletion"
strNtrials = str(10**5)
################## SQL FUNCTIONS ##################
import sqlite3
def getFitParamsFromDB(Dir, sd):
db = sqlite3.connect("SimulData.db")
cursor = db.cursor()
sqldata = cursor.execute('''SELECT FitMin, FitMax FROM Simulation WHERE Directory = ? AND strF2B = ? AND strB2F = ? AND strB2B = ? AND strHrad = ? AND strBrad =?''', (Dir, sd.strF2B, sd.strB2F, sd.strB2B, sd.strHrad, sd.strBrad))
row = sqldata.fetchone()
flag = False
if (row != None ):
FitMin, FitMax = row
#print row
sd.imin, sd.imax = getLimits(sd.ttime, FitMin, FitMax)
flag = True
db.close()
return flag
def set_D_in_DB(Dir, sd):
db = sqlite3.connect("SimulData.db")
cursor = db.cursor()
sqldata = cursor.execute('''UPDATE Simulation SET D = ? WHERE Directory = ? AND strF2B = ? AND strB2F = ? AND strB2B = ? AND strHrad = ? AND strBrad =?''', (sd.DiffCoeff, Dir, sd.strF2B, sd.strB2F, sd.strB2B, sd.strHrad, sd.strBrad))
db.commit()
db.close()
################## FIGURES CONFIGURATION ##################
###### BEGIN PLOT DECORATION VARIABLES
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
font = {'family' : 'normal',
'weight' : 'bold',
'size' : 18}
plt.rc('font', **font)
plt.rc('text', usetex=True)
###### END PLOT DECORATION VARIABLES
def lineStyle_axDiff(strB2B):
tipoLinea = '-'
anchoLinea = 2
alfa = 1.0
pB2B = float(strB2B)
lblB2B = latex_float02( pB2B )
etiqueta = "$"+lblB2B+" $"
expBB = np.abs(np.log10( pB2B ))
colval = (expBB+4.0)/10.0
colmap = plt.cm.Blues
colorcito = colmap(colval)
case = expBB
if case == 0 :
marcador = 'o'
elif case == 1 :
marcador = '*'
elif case == 2 :
marcador = 's'
else:
marcador = (int(case), 0, 0)
estilo = {'linestyle' : tipoLinea, # (0, (5, 10)),
'color' : colorcito,
'linewidth' : anchoLinea,
'label' : etiqueta,
'alpha' : alfa,
'marker' : marcador,
'markersize' : 9,
'markeredgewidth' : 2,
'markeredgecolor' : colorcito
}
return estilo #'solid'
def lineStyle_axR2(sd):
tipoLinea = '-'
anchoLinea = 2
alfa = 1.0
pB2B = float(sd.strB2B)
lblB2B = latex_float02( pB2B )
etiqueta = "$"+lblB2B+" $"
expBB = np.abs(np.log10( pB2B ))
colval = (expBB+4.0)/10.0
colmap = plt.cm.Reds
colorcito = colmap(colval)
estilo = {'linestyle' : tipoLinea, # (0, (5, 10)),
'color' : colorcito,
'linewidth' : anchoLinea,
'label' : etiqueta,
'alpha' : alfa
# 'marker' : marcador,
# 'markersize' : 9,
# 'markeredgewidth' : 2,
# 'markeredgecolor' : colorcito,
}
return estilo #'solid'
####################### Diffusion vs pBF ############################
# TODO: Plot a figure and save the Difusion coefficient in organized files.
figDiff, axDiff = plt.subplots()
axDiff.set_title("$ R_H = "+strHrad+" $ ")#+", $ p_{BF} = "+strB2F+" $")
axDiff.set_xscale("log")
axDiff.set_yscale("log")
axDiff.set_xlabel("$p_{BB}$", fontsize='30')
axDiff.set_ylabel("$D$", fontsize='30', rotation=0)
#axDiff.set_ylim((0,0.2))
figs = [None for b2f in range(len(strB2FList))]
for b2f in range(len(strB2FList)):
strB2F = strB2FList[b2f]
outPrefix = "D_vs_pBB__pBF_"+strB2F +"__Hrad_"+strHrad
outfln_PDF = outPrefix+".pdf"
outfln_DAT = outPrefix+".DAT"
figs[b2f], axR2 = plt.subplots(1,1, figsize=(8,6))
#axR2 = ax
axR2.set_xlabel("$t$", fontsize='30', rotation=0)
axR2.set_ylabel("$ r_2 $", fontsize='30')
axR2.set_xscale("log")
axR2.set_yscale("log")
axR2.set_xlim((8e-1,2e7))
axR2.set_ylim((8e-1,2e6))
#axR2.set_xlim(1e2,1e6)
#axR2.set_ylim(1e1,1e6)
axR2.tick_params(axis='x',which='minor', top='off')
axR2.tick_params(axis='x',which='major', top='on')
axR2.tick_params(axis='x',which='minor', bottom='off')
axR2.tick_params(axis='x',which='major', bottom='on')
axR2.tick_params(axis='y',which='minor', right='off')
axR2.tick_params(axis='y',which='major', right='on')
axR2.tick_params(axis='y',which='minor', left='off')
axR2.tick_params(axis='y',which='major', left='on')
lblF2B = latex_float02(float(strF2B))
lblB2F = latex_float02(float(strB2F))
axR2.set_title("(b) $ p_{D} = "+lblB2F+" $"+", $R_H = "+strHrad+"$")
colvals = np.abs(np.log( map(float, strB2BList)))+3.0
colvals = (colvals/colvals.max() )[::-1]
#print colvals
ofile = open(outfln_DAT,"w")
linea="#prob DiffCoeff\n"
ofile.write(linea)
for b2b in range(len(strB2BList)):
strB2B = strB2BList[b2b]
sd = SimulData()
try:
sd.metadata(flnPrefix, strF2B, strB2F, strB2B, strHrad, strBrad, strNtrials, loadData=False)
if sd.isDatafile():
sd.getData()
else:
sd.metadata(flnPrefix, strF2B, strB2F, strB2B, strHrad, strBrad, "1000", loadData=True)
estilo = lineStyle_axR2(sd)
#axR2. plot(sd.ttime, sd.DelR2, linewidth=2, color=plt.cm.Blues(colvals[b2f]), label="$ "+strB2F+" $")
axR2. plot(sd.ttime, sd.DelR2, **estilo)
if ( getFitParamsFromDB(Directory, sd) ):
sd.popt, sd.pcov = fitLine(sd.ttime[sd.imin:sd.imax], sd.DelR2[sd.imin:sd.imax])
sd.DiffCoeff = sd.popt[0]/6.0
set_D_in_DB(Directory, sd)
axR2. plot(sd.ttime[sd.imin:sd.imax], line(sd.ttime[sd.imin:sd.imax], sd.popt[0], sd.popt[1]), ':', linewidth=2.5, color='k')
linea = ""+sd.strB2B +" "+str(sd.DiffCoeff) +"\n"
ofile.write(linea)
except IOError as e:
pass
ofile.close()
axR2. plot(sd.ttime, 1.5*sd.ttime, '--', color='r' )
handles, labels = axR2.get_legend_handles_labels()
leg = axR2.legend(handles[::-1], labels[::-1], bbox_to_anchor=(0.02,0.35), loc="lower left", title="$p_{S}$", prop={'size':12}, frameon=False)
#figs[b2f].savefig("MSD_vs_t__pBF_"+strB2F +"__Hrad_"+strHrad+".pdf")
figs[b2f].savefig("Fig2b.pdf")
figs[b2f].savefig("Fig2b.eps")
# D vs pB2B
print outfln_DAT
try:
pB2B, DiffCoeff = np.loadtxt(outfln_DAT).T
print pB2B, DiffCoeff
estiloDiff = lineStyle_axDiff(strB2F)
axDiff.plot(pB2B, DiffCoeff, **estiloDiff)
except ValueError as e:
pass
handles, labels = axDiff.get_legend_handles_labels()
axDiff.legend(handles[::-1], labels[::-1], bbox_to_anchor=(0.7,0.03), loc="lower left", title="$p_{BF}$", prop={'size':12}, frameon=False, numpoints=1)
figDiff.tight_layout()
#figDiff.savefig("D_vs_pBB__pBF_"+ "VAR" +"__Hrad_"+strHrad+".pdf")
plt.show()
#left, bottom, width, height = [0.6, 0.25, 0.3, 0.25]
#axIns = fig.add_axes([left, bottom, width, height])
#axIns.set_xlim(0, 40)
#axIns.set_ylim(0, 40)
#axIns.tick_params(axis='x', labelsize=10)
#axIns.tick_params(axis='y', labelsize=10)
#axIns.set_xlabel("$t$")
##axIns.set_xscale("log")
#axIns.set_ylabel("$ \\langle \\Delta r^2 \\rangle $")
##axIns.set_yscale("log")
#plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
#axR2.xaxis.set_major_formatter(ticker.FormatStrFormatter('%0.1f'))