#!/usr/bin/env python

# a bar plot with errorbars

import numpy as np

import matplotlib.pyplot as plt

N = 5

menMeans = (20, 35, 30, 35, 27)

menStd = (2, 3, 4, 1, 2)

ind = np.arange(N)  # the x locations for the groups

width = 0.35       # the width of the bars

fig, ax = plt.subplots()

rects1 = ax.bar(ind, menMeans, width, color='r', yerr=menStd)

womenMeans = (25, 32, 34, 20, 25)

womenStd = (3, 5, 2, 3, 3)

rects2 = ax.bar(ind + width, womenMeans, width, color='y', yerr=womenStd)

# add some text for labels, title and axes ticks

ax.set_ylabel('Scores')

ax.set_title('Scores by group and gender')

ax.set_xticks(ind + width)

ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))

ax.legend((rects1[0], rects2[0]), ('Men', 'Women'))

def autolabel(rects):

    # attach some text labels

    for rect in rects:

        height = rect.get_height()

        ax.text(rect.get_x() + rect.get_width()/2., 1.05*height,

                '%d' % int(height),

                ha='center', va='bottom')

autolabel(rects1)

autolabel(rects2)

plt.show()

import numpy as np

import matplotlib.pyplot as plt

N = 7

OECD = (242, 244, 255, 263, 269, 276, 285)

NonOECD = (282, 328, 375, 417, 460, 501, 535)

Sum = ('', '', '', '', '', '', '')

ind = np.arange(N)

width = 0.5

p1 = plt.bar(ind, NonOECD, width, color = 'r')

p2 = plt.bar(ind, OECD, width, color = 'b', bottom = NonOECD)

plt.ylabel('Quadrillion Btu')

plt.title('World Total Energy Consumption 2010 - 2040')

plt.xticks(ind+width/2., ('', '', '', '', '', '', ''))

plt.yticks(np.arange(0, 1001, 200))

plt.legend((p1[0], p2[0]), ('Non - OECD', 'OECD'), loc = 2, frameon = 'false')

plt.tick_params(top = 'off', bottom = 'off', right = 'off')

plt.grid(axis = 'y', linestyle = '-')

plt.show()