python PrettyTable模块的安装与简单应用

prettyTable 是一款很简洁但是功能强大的第三方模块，主要是将输入的数据转化为格式化的形式来输出，即：以表格的形式的打印输出出来，能够起到美观的效果，今天简单地试用了一下，

一、下载与安装

进入pypi.python.org查找并下载PrettyTable将其放在Python文件夹下的Scripts文件夹下

进入命令提示符工具，转到Scripts文件夹下，通过命令pip install prettytable-0.7.2.tar.bz2安装该模块

二、简单的使用

导入该模块

from prettytable import PrettyTable

创建表头

table=PrettyTable(["姓名","学号","性别"])

插入数据

table.add_row(["小明","01","男"])table.add_row(["小红","02","女"])table.add_row(["小黄","03","男"])

显示该表

print(table)

三、下面是具体的实践：

#!usr/bin/env python#encoding:utf-8  '''__Author__:沂水寒城功能： PrettyTable 模块使用''' import prettytablefrom prettytable import from_csvfrom prettytable import PrettyTable   def testFunc1():  '''  '''  table=PrettyTable()  table.field_names = ["City name", "Area", "Population", "Annual Rainfall"]  table.add_row(["Adelaide",1295, 1158259, 600.5])  table.add_row(["Brisbane",5905, 1857594, 1146.4])  table.add_row(["Darwin", 112, 120900, 1714.7])  table.add_row(["Hobart", 1357, 205556, 619.5])  table.add_row(["Sydney", 2058, 4336374, 1214.8])  table.add_row(["Melbourne", 1566, 3806092, 646.9])  table.add_row(["Perth", 5386, 1554769, 869.4])  print '=================================table===================================='  print table   table.add_column("City name",["Adelaide","Brisbane","Darwin","Hobart","Sydney","Melbourne","Perth"])  table.add_column("Area",[1295, 5905, 112, 1357, 2058, 1566, 5386])  table.add_column("Population",[1158259, 1857594, 120900, 205556, 4336374, 3806092,1554769])  table.add_column("Annual Rainfall",[600.5, 1146.4, 1714.7, 619.5, 1214.8, 646.9,869.4])  print '=================================table===================================='  print table  def testFunc2(data='mycsv.csv'):  '''  从 csv 文件中加载数据  '''  mycsv=open(data)  table=from_csv(mycsv)  mycsv.close()  print '===========================================table=============================================='  print table  print '=================================table:SepalLength_Species===================================='  print table.get_string(fields=['SepalLength','Species'])  print '=======================================table:60=>80 rows======================================'  print table.get_string(start=60,end=80)     if __name__=='__main__':  testFunc1()  testFunc2(data='iris.csv')