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plt_MSD_vs_time__pBF_VAR.py
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plt_MSD_vs_time__pBF_VAR.py
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#!/usr/bin/python
import numpy as np
from SimulData import *
#flnPrefix="CenterIniCond/rw3D_RegularPorousDepletion"
flnPrefix="RandomIniCond_02/rw3D_RegularPorousDepletion"
strNtrials = str(10**5)
def ScaleFunction(sd):
scaXX = sd.ttime/sd.Hrad**2.0
scaYY = sd.DelR2/(sd.ttime)
return scaXX, scaYY
strF2B = "1.0"
strB2FList = ["1.0", "0.1", "0.01", "0.001", "0.0001", "0.00001", "0.000001"] #"0.001"
strB2B = "0.001" #"0.000001"
strHrad = "10"
strBrad = "11"
lblF2B = latex_float( float(strF2B) )
#lblB2F = latex_float( float(strB2F) )
lblB2B = latex_float( float(strB2B) )
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
###### BEGIN PLOT DECORATION VARIABLES
font = {'family' : 'normal',
'weight' : 'bold',
'size' : 18}
plt.rc('font', **font)
plt.rc('text', usetex=True)
###### END PLOT DECORATION VARIABLES
import subprocess
import json
figR2, ax = plt.subplots(1,1, figsize=(8,6))
axR2 = ax
axR2.set_title("$p_{FB} = "+lblF2B+
#", p_{BF} ="+lblB2F+
", p_{BB} ="+lblB2B+
", R_H = "+strHrad+
" $")
#axR2Sca.set_title("$p_{FB} = "+lblF2B+", p_{BB} \\gg p_{BF} ="+lblB2F+" $")
axR2.set_xscale("log")
axR2.set_yscale("log")
#axR2.set_xlim(1e0, 2e3)
#axR2.set_ylim(1e0, 2e3)
axR2.set_xlabel("$t$", fontsize='30', rotation=0)
axR2.set_ylabel("$ \\langle \\Delta r^2 \\rangle $", fontsize='30')
#axR2Sca.tick_params(axis='y',which='minor',left='off')
axR2.tick_params(axis='x',which='minor',bottom='off')
axR2.tick_params(axis='y',which='minor',right='on')
axR2.tick_params(axis='y',which='major',right='on')
#left, bottom, width, height = [0.65, 0.56, 0.3, 0.3]
#left, bottom, width, height = [0.58, 0.527, 0.35, 0.35]
#axR2 = figR2.add_axes([left, bottom, width, height])
#axR2.patch.set_alpha(0.0)
#axR2.set_xlabel("$t$", fontsize='18', rotation=0)
#axR2.set_ylabel("$ \\langle \\Delta r^2 \\rangle $", fontsize='18')
#
#axR2.set_xscale("log")
#axR2.set_yscale("log")
#axR2.xaxis.get_offset_text().set_fontsize(10)
#axR2.yaxis.get_offset_text().set_fontsize(10)
#
##axR2.set_xlim(1e0,1e8)
##axR2.set_ylim(1e0,9e6)
#
#axR2.tick_params(axis='x', labelsize=10)
#axR2.tick_params(axis='y', labelsize=10)
#axR2.tick_params(axis='x',which='minor',bottom='off')
#axR2.tick_params(axis='y',which='minor',left='off')
#############################################
def lineStyDAT(sd):
tipoLinea = '-'
anchoLinea = 2
alfa = 1.0
pB2F = float(sd.strB2F)
lblB2F = latex_float( pB2F )
etiqueta = "$"+lblB2F+" $"
expBF = np.abs(np.log10( pB2F ))
#colval = (expBF + 10.*expBB) / 36.
if sd.strHrad == "10":
colmap = plt.cm.Greens_r
elif sd.strHrad == "20":
colmap = plt.cm.Oranges
elif sd.strHrad == "40":
colmap = plt.cm.Blues
elif sd.strHrad == "80":
colmap = plt.cm.RdPu
elif sd.strHrad == "160":
colmap = plt.cm.Wistia # Yellows?
else:
colmap = plt.cm.Greens
#colval = 1.0 - expBF/6.0
colval = (expBF+4.0)/12.0 #+3.0
#print "colval = ",colval
colorcito = colmap(colval) #0.2+0.8*expBB)
# if expBF == 0 :
# tipoLinea = '-'
# elif expBF == 1 :
# tipoLinea = '--'
# elif expBF == 2 :
# tipoLinea = '-.'
# elif expBF == 3 :
# tipoLinea = ':'
# elif expBF == 4 :
# tipoLinea = '-.'
# else:
# tipoLinea = ':'
tipoLinea = '-'
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 plotSimul(axR2,flnPrefix, strF2B, strB2F, strB2B, strHrad, strBrad, strNtrials ):
lblB2B = latex_float( float(strB2B) )
sd = SimulData()
sd.metadata(flnPrefix, strF2B, strB2F, strB2B, strHrad, strBrad, strNtrials, loadData=True )
#sd.getData()
estilo = lineStyDAT(sd)
linea, = axR2.plot(sd.ttime, sd.DelR2, **estilo)
axR2.plot(sd.ttime, sd.ttime, "--")
axR2.plot(sd.ttime, 1.5*sd.ttime, "--")
#scaXX, scaYY = ScaleFunction(sd)
#linea, = axR2Sca.plot(scaXX, scaYY, **estilo)
return True, linea, ""
###########################################################################
#flag, tmpLinea, tmpEtiqueta = plotSimul(axR2, flnPrefix, strF2B, strB2F, strB2B, strHrad, strBrad, strNtrials )
#if flag:
# print "ok"
# ### lineas .append(tmpLinea)
# ### etiquetas.append(tmpEtiqueta)
#else:
# print strF2B, strB2F, strB2B, strHrad, strBrad, "# MISSING SIMULATION"
for b2f in range(len(strB2FList)):
strB2F = strB2FList[b2f]
lblB2F = latex_float( float(strB2F) )
sd = SimulData()
sd.metadata(flnPrefix, strF2B, strB2F, strB2B, strHrad, strBrad, strNtrials, loadData=True )
estilo = lineStyDAT(sd)
axR2.plot(sd.ttime, sd.DelR2, **estilo)
linea, = axR2.plot(sd.ttime, sd.ttime, "--", color='r')
drD = DraggableLogLogLine(linea)
drD.connect()
legs = axR2.legend( bbox_to_anchor=(0.8, 0.4), loc="upper left", title="$p_{BF} $", prop={'size':12}, frameon=False, handlelength=2)
#legs= axR2.legend(lineas, etiquetas, bbox_to_anchor=(0.8, 0.4), loc="upper left", title="$R_H $", prop={'size':12}, frameon=False, handlelength=2)
figR2.tight_layout()
#figR2.savefig(outfln_PDF)
### print legs
if legs:
axR2.add_artist(legs)
legs.get_title().set_fontsize('20')
legs.draggable()
# Save Figure
outPrefix = "MSD_vs_time"+"__B2F_"+strB2F+"__B2B_"+strB2B #"D_vs_pBB__pBF_"+strB2F #+"__Hrad_"+strHradius
outfln_PDF = outPrefix+".pdf"
figR2.savefig(outfln_PDF)
plt.show()