import matplotlib.pyplot as plt
import morphokinetics as mk
import results
import sys
import traceback
plt.title("$ R \propto d ( \\frac{s v_s}{r_g^2} )$")
label = r'$\frac{s v_s}{r_g^2}$'
plt.ylabel(label)
label = r'R (total rate)'
plt.xlabel(label)
plt.grid(True)
workingPath = os.getcwd()
for f in i.getFluxes():
folder = "flux3.5e" + str(i)
print(folder)
try:
p = i.getInputParameters(glob.glob(f + "/*/output*")[0])
os.chdir(f)
temperatures = i.getTemperatures()
meanValues = mk.getIslandDistribution(temperatures, False, False)
except (OSError, IndexError):
print("error changing to flux {}".format(f))
continue
os.chdir(workingPath)
vs = meanValues.getGrowthSlope()
s = (0.3 * 400 * 400) / meanValues.getIslandsAmount()
vg = meanValues.getGyradiusSlope()
rtt = mk.getRtt(temperatures)
ls="--",
marker=markers[i],
label="W temp" + str(i))
handles.append(lg)
#ax.text(x[index],d.negs[k][index]/cove[index], r"$W_{"+str(k)+r"^\nu}$", color=cm1(k/8), bbox=bbox_props)
#W = np.array(W)
#print(np.shape(W))
#lg, = ax.loglog(x, np.sum(W, axis=0), "+", label="W sum"); handles.append(lg)
plt.legend(handles=handles, loc="best")
fig = plt.figure(figsize=(15, 15))
ax = fig.gca()
workingPath = os.getcwd()
for f in inf.getFluxes():
os.chdir(workingPath)
print(f)
os.chdir(f)
fPath = os.getcwd()
for t in inf.getTemperatures():
print("\t", t)
try:
os.chdir(str(t) + "/results")
fig.clf()
ax = fig.gca()
ratioplicity(ax)
#ax.set_ylim(1e-4,1e1)
#ax.set_yscale("linear")
#ax.set_ylim(0,6)
fig.savefig("ratioplicity" + str(t) + ".pdf", bbox_inches='tight')
plt.legend(numpoints=1,
prop={'size': 8},
bbox_to_anchor=(1.05, 1),
loc=2,
borderaxespad=0.)
plt.grid()
plt.title("flux: {:.1e} temperature: {:d}".format(p.flux, int(p.temp)))
plt.savefig("../../../plot2" + str(p.flux) + str(p.temp) + ".png")
##########################################################
########## Main function #####################
##########################################################
workingPath = os.getcwd()
fluxes = inf.getFluxes()
for f in fluxes:
firstCollisionTime = []
temperaturesPlot = []
print(f)
os.chdir(f)
fPath = os.getcwd()
for t in inf.getTemperatures()[15:]:
try:
os.chdir(str(t) + "/results")
print("\t", t)
inf.splitDataFiles()
diffusivityDistance()
except FileNotFoundError:
pass
os.chdir(fPath)
r_tt, temp, flux, L1, L2, maxN = i.getInputParameters()
allData = []
filesN = glob.glob("data[0-9]*.txt")
for i in range(0, len(filesN) - 1):
fileName = "data" + str(i) + ".txt"
allData.append(np.loadtxt(fname=fileName))
#plt.loglog(allData[1], allData[15])
##########################################################
########## Main function #####################
##########################################################
workingPath = os.getcwd()
fluxes = i.getFluxes()
for f in fluxes:
firstCollisionTime = []
temperaturesPlot = []
print(f)
os.chdir(f)
fPath = os.getcwd()
for t in i.getTemperatures():
try:
os.chdir(str(t) + "/results")
print("\t", t)
i.splitAeFiles()
#diffusivityDistance()
# find first dimer occurrence
except FileNotFoundError:
pass
bbox_to_anchor=(1.05, 1),
loc=2,
borderaxespad=0.)
plt.grid()
plt.title("flux: {:.1e} temperature: {:d}".format(p.flux, int(p.temp)))
plt.savefig("plot" + str(p.flux) + str(p.temp) + ".png")
return time, neg1
##########################################################
########## Main function #####################
##########################################################
workingPath = os.getcwd()
fluxes = info.getFluxes()
for f in fluxes:
firstCollisionTime = []
temperaturesPlot = []
print(f)
os.chdir(f)
fPath = os.getcwd()
for t in info.getTemperatures():
try:
os.chdir(str(t) + "/results")
print("\t", t)
info.splitDataFiles()
time, neg1 = diffusivityDistance()
# find first dimer occurrence
i = np.argmax(neg1 > 0)
firstCollisionTime.append(time[i])
