def plotBar(Ncandidats,Nelecteurs, test, Nmentions, root="data"):
import matplotlib.pyplot as plt
fname = mj.getFolderName(Ncandidats, Nelecteurs, test, root)
raw_post = np.genfromtxt(fname + "raw.results.%i.%i.txt" % (Ncandidats, Nelecteurs), dtype=float, delimiter=",").astype(float)
n_priori = np.genfromtxt(fname + "terranova.%i.txt" % Ncandidats, dtype=float, delimiter=",").astype(float)
n_post = mj.normalize(raw_post)
nameMentions = ["Excellent", "Tres bien", "Bien", "Assez bien", "Passable", "Insuffisant", "A rejeter"]
couleurs = ["DarkRed", "Crimson","Tomato","DarkOrange","Yellow","Khaki","DarkKhaki"]
abs_res = range(0,Ncandidats)
abs_prob = np.arange(0,Ncandidats) + 0.46
width = 0.45
#plt.bar(abs_res, results[:,0], width, color=couleurs[0], label=nameMentions[0])
for i in range(Nmentions):
plt.bar(abs_res, n_post[:,i], width,color=couleurs[i], label=nameMentions[i], bottom=np.sum(n_post[:,:i],axis=1), edgecolor='white')
plt.bar(abs_prob, n_priori[:,i], width,color=couleurs[i], bottom=np.sum(n_priori[:,:i],axis=1), edgecolor='white')
plt.ylabel('Mentions')
plt.xlabel('Candidats')
plt.title('Jugement majoritaire avec %i candidats et %i electeurs' % (Ncandidats, Nelecteurs))
#plt.xticks(ind + width/2., ('C1', 'G2', 'G3', 'G4', 'G5'))
plt.yticks(np.arange(0, 1, 0.1))
plt.xticks(np.arange(0, Ncandidats))
plt.legend()
plt.show()
def plotBar(Ncandidats, Nelecteurs, test, Nmentions, root="data"):
import matplotlib.pyplot as plt
fname = mj.getFolderName(Ncandidats, Nelecteurs, test, root)
raw_post = np.genfromtxt(fname + "raw.results.%i.%i.txt" %
(Ncandidats, Nelecteurs),
dtype=float,
delimiter=",").astype(float)
n_priori = np.genfromtxt(fname + "terranova.%i.txt" % Ncandidats,
dtype=float,
delimiter=",").astype(float)
n_post = mj.normalize(raw_post)
nameMentions = [
"Excellent", "Tres bien", "Bien", "Assez bien", "Passable",
"Insuffisant", "A rejeter"
]
couleurs = [
"DarkRed", "Crimson", "Tomato", "DarkOrange", "Yellow", "Khaki",
"DarkKhaki"
]
abs_res = range(0, Ncandidats)
abs_prob = np.arange(0, Ncandidats) + 0.46
width = 0.45
#plt.bar(abs_res, results[:,0], width, color=couleurs[0], label=nameMentions[0])
for i in range(Nmentions):
plt.bar(abs_res,
n_post[:, i],
width,
color=couleurs[i],
label=nameMentions[i],
bottom=np.sum(n_post[:, :i], axis=1),
edgecolor='white')
plt.bar(abs_prob,
n_priori[:, i],
width,
color=couleurs[i],
bottom=np.sum(n_priori[:, :i], axis=1),
edgecolor='white')
plt.ylabel('Mentions')
plt.xlabel('Candidats')
plt.title('Jugement majoritaire avec %i candidats et %i electeurs' %
(Ncandidats, Nelecteurs))
#plt.xticks(ind + width/2., ('C1', 'G2', 'G3', 'G4', 'G5'))
plt.yticks(np.arange(0, 1, 0.1))
plt.xticks(np.arange(0, Ncandidats))
plt.legend()
plt.show()
def readData(Ncandidats, Nelecteurs, test, root = "data", relog = False):
folder = mj.getFolderName(Ncandidats, Nelecteurs, test)
fname = folder + "log.txt"
if not os.path.isfile(fname + "log.txt") or relog:
mj.computeLog(Ncandidats, Nelecteurs, test, root)
f = open(fname, "r")
p = re.compile(ur'5 premiers: ([0-9]+),')
a = []
for l in f.readlines():
a = re.findall(p, l)
if a != []:
break
if a == []:
print "Unreadable data for C_%i.E_%i_%i" % (Ncandidats, Nelecteurs, test)
return a[0]
def readData(Ncandidats, Nelecteurs, test, root="data", relog=False):
folder = mj.getFolderName(Ncandidats, Nelecteurs, test)
fname = folder + "log.txt"
if not os.path.isfile(fname + "log.txt") or relog:
mj.computeLog(Ncandidats, Nelecteurs, test, root)
f = open(fname, "r")
p = re.compile(ur'5 premiers: ([0-9]+),')
a = []
for l in f.readlines():
a = re.findall(p, l)
if a != []:
break
if a == []:
print "Unreadable data for C_%i.E_%i_%i" % (Ncandidats, Nelecteurs,
test)
return a[0]
