# from pylab import *  
# x_values = arange(0.0, math.pi * 4, 0.01)  
# y_values = sin(x_values)  
# plot(x_values, y_values, linewidth=1.0)  
# xlabel('x')  
# ylabel('sin(x)')  
# title('Simple plot')  
# grid(True)  
# savefig("sin.png")  
# show() 
# import os  
# import math  
# import pylab  
# y_values = []  
# x_values = []  
# num = 0.0  
# #collect both num and the sine of num in a list  
# while num < math.pi * 4:  
#     y_values.append(math.sin(num))  
#     x_values.append(num)  
#     num += 0.1  
#     
# pylab.plot(x_values,y_values,'r*')  
# pylab.show()   
# import numpy as np  
# import matplotlib as mpl  
# import matplotlib.pyplot as plt  
# import matplotlib.cm as cm  
#   
# mpl.rcParams['xtick.labelsize'] = 10  
# mpl.rcParams['ytick.labelsize'] = 12  
# mpl.rcParams['axes.edgecolor'] = 'gray'  
#   
#   
# axalpha = 0.05  
# #figcolor = '#EFEFEF'  
# figcolor = 'white'  
# dpi = 80  
# fig = plt.figure(figsize=(6, 1.1),dpi=dpi)  
# fig.figurePatch.set_edgecolor(figcolor)  
# fig.figurePatch.set_facecolor(figcolor)  
#   
#   
# def add_math_background():  
#     ax = fig.add_axes([0., 0., 1., 1.])  
#   
#     text = []  
#     text.append((r"$W^{3\beta}_{\delta_1 \rho_1 \sigma_2} = U^{3\beta}_{\delta_1 \rho_1} + \frac{1}{8 \pi 2} \int^{\alpha_2}_{\alpha_2} d \alpha^\prime_2 \left[\frac{ U^{2\beta}_{\delta_1 \rho_1} - \alpha^\prime_2U^{1\beta}_{\rho_1 \sigma_2} }{U^{0\beta}_{\rho_1 \sigma_2}}\right]$", (0.7, 0.2), 20))  
#     text.append((r"$\frac{d\rho}{d t} + \rho \vec{v}\cdot\nabla\vec{v} = -\nabla p + \mu\nabla^2 \vec{v} + \rho \vec{g}$",  
#                 (0.35, 0.9), 20))  
#     text.append((r"$\int_{-\infty}^\infty e^{-x^2}dx=\sqrt{\pi}$",  
#                 (0.15, 0.3), 25))  
#     #text.append((r"$E = mc^2 = \sqrt{{m_0}^2c^4 + p^2c^2}$",  
#     #            (0.7, 0.42), 30))  
#     text.append((r"$F_G = G\frac{m_1m_2}{r^2}$",  
#                 (0.85, 0.7), 30))  
#     for eq, (x, y), size in text:  
#         ax.text(x, y, eq, ha='center', va='center', color="#11557c", alpha=0.25,  
#                 transform=ax.transAxes, fontsize=size)  
#     ax.set_axis_off()  
#     return ax  
#   
# def add_matplotlib_text(ax):  
#     ax.text(0.95, 0.5, 'matplotlib', color='#11557c', fontsize=65,  
#                ha='right', va='center', alpha=1.0, transform=ax.transAxes)  
#   
# def add_polar_bar():  
#     ax = fig.add_axes([0.025, 0.075, 0.2, 0.85], polar=True)  
#   
#   
#     ax.axesPatch.set_alpha(axalpha)  
#     ax.set_axisbelow(True)  
#     N = 7  
#     arc = 2. * np.pi  
#     theta = np.arange(0.0, arc, arc/N)  
#     radii = 10 * np.array([0.2, 0.6, 0.8, 0.7, 0.4, 0.5, 0.8])  
#     width = np.pi / 4 * np.array([0.4, 0.4, 0.6, 0.8, 0.2, 0.5, 0.3])  
#     bars = ax.bar(theta, radii, width=width, bottom=0.0)  
#     for r, bar in zip(radii, bars):  
#         bar.set_facecolor(cm.jet(r/10.))  
#         bar.set_alpha(0.6)  
#   
#     for label in ax.get_xticklabels() + ax.get_yticklabels():  
#         label.set_visible(False)  
#   
#     for line in ax.get_ygridlines() + ax.get_xgridlines():  
#         line.set_lw(0.8)  
#         line.set_alpha(0.9)  
#         line.set_ls('-')  
#         line.set_color('0.5')  
#   
#     ax.set_yticks(np.arange(1, 9, 2))  
#     ax.set_rmax(9)  
#   
# if __name__ == '__main__':  
#     main_axes = add_math_background()  
#     add_polar_bar()  
#     add_matplotlib_text(main_axes)  
#     plt.show()  

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
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()