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/pyreadlinehttps://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。

 

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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