racerxdl / generate.py

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import unicode_literals import sys import numpy as np import matplotlib.mlab as mlab import matplotlib.pyplot as plt width = 20 # cm height = 15 # cm if len(sys.argv) < 4: print "Usage: generate.py data.txt title output" exit(1) output = sys.argv[3] title = sys.argv[2].decode(encoding='UTF-8',errors='strict') data = np.fromfile(sys.argv[1], sep='\n') num_bins = 28 avg = np.average(data) std = np.std(data) fig, ax = plt.subplots() n, bins, patches = ax.hist(data, num_bins, color='burlywood', histtype='stepfilled') print "Média: %s Desvio Padrão: %s" %(avg, std) ax.axvline(avg, color='red', label="Média = %.2f s" %avg) ax.axvline(avg-std, color='lightblue', label="Média - Desvio Padrão = %.2f s" %(avg-std)) ax.axvline(avg+std, color='darkblue', label="Média + Desvio Padrão = %.2f s" % (avg+std)) ax.set_xlabel('Tempo (s)') ax.set_ylabel('Contagem (n)') ax.set_title(title) ax.set_ylim( None, n.max() * 1.2) legend = ax.legend(loc='upper left', shadow=True, prop={'size':10}) fig.tight_layout() fig.set_size_inches(width / 2.54, height / 2.54) plt.savefig('%s.png' %output, dpi=100)

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import unicode_literals import sys import numpy as np import matplotlib.mlab as mlab import matplotlib.pyplot as plt width = 20 # cm height = 15 # cm deltaS = 34 # metros if len(sys.argv) < 4: print "Usage: generate.py data.txt type output" exit(1) type = sys.argv[2].decode(encoding='UTF-8',errors='strict') output = sys.argv[3] data = np.fromfile(sys.argv[1], sep='\n') data = (2 * 34) / (data ** 2) num_bins = 12 avg = np.average(data) std = np.std(data) fig, ax = plt.subplots() n, bins, patches = ax.hist(data, num_bins, color='burlywood', histtype='stepfilled') print "Média: %s Desvio Padrão: %s" %(avg, std) ax.axvline(avg, color='red', label="Média = %.2f m/s²" %avg) ax.axvline(avg-std, color='lightblue', label="Média - Desvio Padrão = %.2f m/s²" %(avg-std)) ax.axvline(avg+std, color='darkblue', label="Média + Desvio Padrão = %.2f m/s²" % (avg+std)) ax.set_xlabel('Aceleração (m/s²)') ax.set_ylabel('Contagem (n)') ax.set_title('Histograma das Acelerações Médias (%s)' %type) ax.set_ylim( None, n.max() * 1.2) legend = ax.legend(loc='upper left', shadow=True, prop={'size':10}) fig.tight_layout() fig.set_size_inches(width / 2.54, height / 2.54) plt.savefig('%s.png' %output, dpi=100)

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import unicode_literals import sys import numpy as np import matplotlib.mlab as mlab import matplotlib.pyplot as plt width = 20 # cm height = 15 # cm deltaS = 34 # metros if len(sys.argv) < 4: print "Usage: generate.py data.txt type output" exit(1) type = sys.argv[2].decode(encoding='UTF-8',errors='strict') output = sys.argv[3] data = np.fromfile(sys.argv[1], sep='\n') data = deltaS / data num_bins = 12 avg = np.average(data) std = np.std(data) fig, ax = plt.subplots() n, bins, patches = ax.hist(data, num_bins, color='burlywood', histtype='stepfilled') print "Média: %s Desvio Padrão: %s" %(avg, std) ax.axvline(avg, color='red', label="Média = %.2f m/s" %avg) ax.axvline(avg-std, color='lightblue', label="Média - Desvio Padrão = %.2f m/s" %(avg-std)) ax.axvline(avg+std, color='darkblue', label="Média + Desvio Padrão = %.2f m/s" % (avg+std)) ax.set_xlabel('Velocidade (m/s)') ax.set_ylabel('Contagem (n)') ax.set_title('Histograma das Velocidades Médias (%s)' %type) ax.set_ylim( None, n.max() * 1.2) legend = ax.legend(loc='upper left', shadow=True, prop={'size':10}) fig.tight_layout() fig.set_size_inches(width / 2.54, height / 2.54) plt.savefig('%s.png' %output, dpi=100)