# coding: utf-8 #!/usr/bin/env python import matplotlib.pyplot as plt import numpy as np  # first column is total number of people # second column is percentage of the population data = np.array([ [6232552, 8.29], [5657791, 7.53], [5671435, 7.55], [6607043, 8.79], [8414497, 11.20], [8672654, 11.54], [6971924, 9.28], [5571018, 7.41], [4906749, 6.53], [4030481, 5.36], [3527408, 4.69], [2680119, 3.57], [1862907, 2.48], [1343731, 1.79], [1119968, 1.49], [913531, 1.22], [919539, 1.22]])  labels = [ '0-4', '5-9', '10-14', '15-19', '20-24', '25-29', '30-34', '35-39', '40-44', '45-49', '50-54', '55-59', '60-64', '65-69', '70-74', '75-79', '80 and over']  # Prepare axis fig = plt.figure(figsize=(9, 5)) ax = fig.add_subplot(111)  y_pos = np.arange(len(labels)) percentages = data[:, 1]  ax.barh(y_pos, percentages, align='center') plt.yticks(y_pos, labels) plt.axis('tight')  plt.title('Iranian Demography 2011') plt.xlabel('Percentage') plt.savefig('iran-demography.svg', transparent=True)