python实现matlab功能

安装

• pyhton:就到官网下载安装，很多linux下是本身就安装的。

• linux系统安装numpy,scipy,matplotlib如下：

  #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如下：
  到Unofficial Windows Binaries for Python Extension Packages中找到相应的版本
  的三个软件安装即可，具体过程和所有的windows安装一样

实例

创建一个python的脚本，将下面代码复制好，运行后你会看到美丽的画面：

#!/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()