Python-Matplotlib安装及简单使用

jopen 7年前

在使用NumPy进行学习统计计算时是枯燥的,大量的数据令我们很头疼,所以我们需要把它图形化显示。
Matplotlib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

由于我之前已经安装过NumPy1.8,所以安装Matplotlib后只需要安装 dateutil 和 pyparsing,win32的安装文件可以在这里找到 http://www.lfd.uci.edu/~gohlke/pythonlibs/

所有配套组件都安装成功后如果执行 import matplotlib.pyplot as plt 出错,请参考这篇文章 http://blog.csdn.net/yang6464158/article/details/18546871#comments
    安装  scipy,然后把C:\Python27\Lib\site-packages\scipy\lib中的six.py six.pyc six.pyo三个文件拷贝到C:\Python27\Lib\site-packages目录下。
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()
运行上面代码,执行后如下图所示。

Python-Matplotlib安装及简单使用

来自:http://my.oschina.net/bery/blog/203595