python+numpy+scipy=matlab,抛弃matlab

本文主要介绍如何利用python实现matlab的功能，实现这个功能要用到python的三个第三方库，基于的操做系统是archlinux。其余的系统也是一样的方法。

安装

• pyhton:就到官网下载安装，不少linux下是自己就安装的。

• linux系统安装numpy,scipy,matplotlib以下：

  <!--lang: shell-->
    #archlinux系统下
    pacman -S python-numpy python-scipy python-matplotlib 
    #ubuntu系统下    
    sudo apt-get install python-numpy python-scipy python-matplotlib

• windows系统安装numpy,scipy,matplotlib以下： 到Unofficial Windows Binaries for Python Extension Packages中找到相应的版本 的三个软件安装便可，具体过程和全部的windows安装同样

实例

建立一个python的脚本，将下面代码复制好，运行后你会看到美丽的画面：

• 代码以下：

  <!--lang: python-->
    #!/usr/bin/env python
  
    """
    Show how to make date plots in matplotlib using date tick locators and
    formatters.  See major_minor_demo1.py for more information on
    controlling major and minor ticks
    """
    from __future__ import print_function
    import datetime
    from pylab import figure, show
    from matplotlib.dates import MONDAY
    from matplotlib.finance import quotes_historical_yahoo
    from matplotlib.dates import MonthLocator, WeekdayLocator, DateFormatter
  
    date1 = datetime.date( 2002, 1, 5 )
    date2 = datetime.date( 2003, 12, 1 )
  
    # every monday
    mondays   = WeekdayLocator(MONDAY)
  
    # every 3rd month
    months    = MonthLocator(range(1,13), bymonthday=1, interval=3)
    monthsFmt = DateFormatter("%b '%y")
  
    quotes = quotes_historical_yahoo('INTC', date1, date2)
    if len(quotes) == 0:
        print ('Found no quotes')
        raise SystemExit
  
    dates = [q[0] for q in quotes]
    opens = [q[1] for q in quotes]
  
    fig = figure()
    ax = fig.add_subplot(111)
    ax.plot_date(dates, opens, '-')
    ax.xaxis.set_major_locator(months)
    ax.xaxis.set_major_formatter(monthsFmt)
    ax.xaxis.set_minor_locator(mondays)
    ax.autoscale_view()
    #ax.xaxis.grid(False, 'major')
    #ax.xaxis.grid(True, 'minor')
    ax.grid(True)
  
    fig.autofmt_xdate()
  
    show()

• 运行结果：