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]