matplotlib

前导：

安装 numpy

http://sourceforge.net/projects/numpy/files/

http://sourceforge.net/projects/numpy/files/NumPy/1.7.2/numpy-1.7.2-win32-superpack-python2.7.exe/download

安装 SciPy

http://sourceforge.net/projects/scipy/files/

http://sourceforge.net/projects/scipy/files/scipy/0.13.3/scipy-0.13.3-win32-superpack-python2.7.exe/download

安装pyreadline

https://pypi.python.org/pypi/pyreadline
https://pypi.python.org/packages/any/p/pyreadline/pyreadline-2.1.win32.exe#md5=fb0a091c64c045d6fa5c2020adc81162

安装ez_setup.py

https://bootstrap.pypa.io/ez_setup.py

python ez_setup.py

 

安装setuptools

https://pypi.python.org/pypi/setuptools

https://pypi.python.org/packages/source/s/setuptools/setuptools-19.1.1.zip#md5=fff1ae21769ffdf1f0e994b658c50861

安装six

http://www.pythonhosted.org/six/

 

安装dateutil

https://dateutil.readthedocs.org/en/latest/

https://pypi.python.org/packages/source/p/python-dateutil/python-dateutil-2.4.2.tar.gz#md5=4ef68e1c485b09e9f034e10473e5add2

python  setup.py install

 

安装pyparsing
http://pyparsing.wikispaces.com/Download+and+Installation

 

安装 ipython

https://github.com/ipython/ipython/releases

https://github.com/ipython/ipython/releases/download/rel-3.0.0/ipython-3.0.0.zip

 

 

Windows上安装matplotlib

Matplotlib（http://sourceforge.net/projects/matplotlib/?source=typ_redirect）是一个Python的图形框架，类似于MATLAB和R语言。

Matplotlib的官网地址是 http://matplotlib.org/ ，下载地址为 http://matplotlib.org/downloads.html，选择对应的版本即可安装，我选择的版本为 matplotlib-1.3.1.win32-py2.7.exe。

 

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()

 

REF:

https://pypi.python.org/pypi/matplotlib

http://my.oschina.net/bery/blog/203595?fromerr=dhmB1gxZ

http://www.open-open.com/lib/view/open1393488232380.html

http://book.2cto.com/201401/39327.html