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
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from prettytable import prettytable |
创建表头
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table=prettytable(["姓名","学号","性别"]) |
插入数据
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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
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print(table) |
三、下面是具体的实践：
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#!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') |
结果如下：
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=================================table====================================+-----------+------+------------+-----------------+| city name | area | population | annual rainfall |+-----------+------+------------+-----------------+| adelaide | 1295 | 1158259 | 600.5 || brisbane | 5905 | 1857594 | 1146.4 || darwin | 112 | 120900 | 1714.7 || hobart | 1357 | 205556 | 619.5 || sydney | 2058 | 4336374 | 1214.8 || melbourne | 1566 | 3806092 | 646.9 || perth | 5386 | 1554769 | 869.4 |+-----------+------+------------+-----------------+=================================table====================================+-----------+------+------------+-----------------+-----------+------+------------+-----------------+| city name | area | population | annual rainfall | city name | area | population | annual rainfall |+-----------+------+------------+-----------------+-----------+------+------------+-----------------+| adelaide | 1295 | 1158259 | 600.5 | adelaide | 1295 | 1158259 | 600.5 || brisbane | 5905 | 1857594 | 1146.4 | brisbane | 5905 | 1857594 | 1146.4 || darwin | 112 | 120900 | 1714.7 | darwin | 112 | 120900 | 1714.7 || hobart | 1357 | 205556 | 619.5 | hobart | 1357 | 205556 | 619.5 || sydney | 2058 | 4336374 | 1214.8 | sydney | 2058 | 4336374 | 1214.8 || melbourne | 1566 | 3806092 | 646.9 | melbourne | 1566 | 3806092 | 646.9 || perth | 5386 | 1554769 | 869.4 | perth | 5386 | 1554769 | 869.4 |+-----------+------+------------+-----------------+-----------+------+------------+-----------------+===========================================table==============================================+-----+-------------+------------+-------------+------------+------------+| id | sepallength | sepalwidth | petallength | petalwidth | species |+-----+-------------+------------+-------------+------------+------------+| 1 | 5.1 | 3.5 | 1.4 | 0.2 | setosa || 2 | 4.9 | 3 | 1.4 | 0.2 | setosa || 3 | 4.7 | 3.2 | 1.3 | 0.2 | setosa || 4 | 4.6 | 3.1 | 1.5 | 0.2 | setosa || 5 | 5 | 3.6 | 1.4 | 0.2 | setosa || 6 | 5.4 | 3.9 | 1.7 | 0.4 | setosa || 7 | 4.6 | 3.4 | 1.4 | 0.3 | setosa || 8 | 5 | 3.4 | 1.5 | 0.2 | setosa || 9 | 4.4 | 2.9 | 1.4 | 0.2 | setosa || 10 | 4.9 | 3.1 | 1.5 | 0.1 | setosa || 11 | 5.4 | 3.7 | 1.5 | 0.2 | setosa || 12 | 4.8 | 3.4 | 1.6 | 0.2 | setosa || 13 | 4.8 | 3 | 1.4 | 0.1 | setosa || 14 | 4.3 | 3 | 1.1 | 0.1 | setosa || 15 | 5.8 | 4 | 1.2 | 0.2 | setosa || 16 | 5.7 | 4.4 | 1.5 | 0.4 | setosa || 17 | 5.4 | 3.9 | 1.3 | 0.4 | setosa || 18 | 5.1 | 3.5 | 1.4 | 0.3 | setosa || 19 | 5.7 | 3.8 | 1.7 | 0.3 | setosa || 20 | 5.1 | 3.8 | 1.5 | 0.3 | setosa || 21 | 5.4 | 3.4 | 1.7 | 0.2 | setosa || 22 | 5.1 | 3.7 | 1.5 | 0.4 | setosa || 23 | 4.6 | 3.6 | 1 | 0.2 | setosa || 24 | 5.1 | 3.3 | 1.7 | 0.5 | setosa || 25 | 4.8 | 3.4 | 1.9 | 0.2 | setosa || 26 | 5 | 3 | 1.6 | 0.2 | setosa || 27 | 5 | 3.4 | 1.6 | 0.4 | setosa || 28 | 5.2 | 3.5 | 1.5 | 0.2 | setosa || 29 | 5.2 | 3.4 | 1.4 | 0.2 | setosa || 30 | 4.7 | 3.2 | 1.6 | 0.2 | setosa || 31 | 4.8 | 3.1 | 1.6 | 0.2 | setosa || 32 | 5.4 | 3.4 | 1.5 | 0.4 | setosa || 33 | 5.2 | 4.1 | 1.5 | 0.1 | setosa || 34 | 5.5 | 4.2 | 1.4 | 0.2 | setosa || 35 | 4.9 | 3.1 | 1.5 | 0.2 | setosa || 36 | 5 | 3.2 | 1.2 | 0.2 | setosa || 37 | 5.5 | 3.5 | 1.3 | 0.2 | setosa || 38 | 4.9 | 3.6 | 1.4 | 0.1 | setosa || 39 | 4.4 | 3 | 1.3 | 0.2 | setosa || 40 | 5.1 | 3.4 | 1.5 | 0.2 | setosa || 41 | 5 | 3.5 | 1.3 | 0.3 | setosa || 42 | 4.5 | 2.3 | 1.3 | 0.3 | setosa || 43 | 4.4 | 3.2 | 1.3 | 0.2 | setosa || 44 | 5 | 3.5 | 1.6 | 0.6 | setosa || 45 | 5.1 | 3.8 | 1.9 | 0.4 | setosa || 46 | 4.8 | 3 | 1.4 | 0.3 | setosa || 47 | 5.1 | 3.8 | 1.6 | 0.2 | setosa || 48 | 4.6 | 3.2 | 1.4 | 0.2 | setosa || 49 | 5.3 | 3.7 | 1.5 | 0.2 | setosa || 50 | 5 | 3.3 | 1.4 | 0.2 | setosa || 51 | 7 | 3.2 | 4.7 | 1.4 | versicolor || 52 | 6.4 | 3.2 | 4.5 | 1.5 | versicolor || 53 | 6.9 | 3.1 | 4.9 | 1.5 | versicolor || 54 | 5.5 | 2.3 | 4 | 1.3 | versicolor || 55 | 6.5 | 2.8 | 4.6 | 1.5 | versicolor || 56 | 5.7 | 2.8 | 4.5 | 1.3 | versicolor || 57 | 6.3 | 3.3 | 4.7 | 1.6 | versicolor || 58 | 4.9 | 2.4 | 3.3 | 1 | versicolor || 59 | 6.6 | 2.9 | 4.6 | 1.3 | versicolor || 60 | 5.2 | 2.7 | 3.9 | 1.4 | versicolor || 61 | 5 | 2 | 3.5 | 1 | versicolor || 62 | 5.9 | 3 | 4.2 | 1.5 | versicolor || 63 | 6 | 2.2 | 4 | 1 | versicolor || 64 | 6.1 | 2.9 | 4.7 | 1.4 | versicolor || 65 | 5.6 | 2.9 | 3.6 | 1.3 | versicolor || 66 | 6.7 | 3.1 | 4.4 | 1.4 | versicolor || 67 | 5.6 | 3 | 4.5 | 1.5 | versicolor || 68 | 5.8 | 2.7 | 4.1 | 1 | versicolor || 69 | 6.2 | 2.2 | 4.5 | 1.5 | versicolor || 70 | 5.6 | 2.5 | 3.9 | 1.1 | versicolor || 71 | 5.9 | 3.2 | 4.8 | 1.8 | versicolor || 72 | 6.1 | 2.8 | 4 | 1.3 | versicolor || 73 | 6.3 | 2.5 | 4.9 | 1.5 | versicolor || 74 | 6.1 | 2.8 | 4.7 | 1.2 | versicolor || 75 | 6.4 | 2.9 | 4.3 | 1.3 | versicolor || 76 | 6.6 | 3 | 4.4 | 1.4 | versicolor || 77 | 6.8 | 2.8 | 4.8 | 1.4 | versicolor || 78 | 6.7 | 3 | 5 | 1.7 | versicolor || 79 | 6 | 2.9 | 4.5 | 1.5 | versicolor || 80 | 5.7 | 2.6 | 3.5 | 1 | versicolor || 81 | 5.5 | 2.4 | 3.8 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5.8 | 2.2 | virginica || 106 | 7.6 | 3 | 6.6 | 2.1 | virginica || 107 | 4.9 | 2.5 | 4.5 | 1.7 | virginica || 108 | 7.3 | 2.9 | 6.3 | 1.8 | virginica || 109 | 6.7 | 2.5 | 5.8 | 1.8 | virginica || 110 | 7.2 | 3.6 | 6.1 | 2.5 | virginica || 111 | 6.5 | 3.2 | 5.1 | 2 | virginica || 112 | 6.4 | 2.7 | 5.3 | 1.9 | virginica || 113 | 6.8 | 3 | 5.5 | 2.1 | virginica || 114 | 5.7 | 2.5 | 5 | 2 | virginica || 115 | 5.8 | 2.8 | 5.1 | 2.4 | virginica || 116 | 6.4 | 3.2 | 5.3 | 2.3 | virginica || 117 | 6.5 | 3 | 5.5 | 1.8 | virginica || 118 | 7.7 | 3.8 | 6.7 | 2.2 | virginica || 119 | 7.7 | 2.6 | 6.9 | 2.3 | virginica || 120 | 6 | 2.2 | 5 | 1.5 | virginica || 121 | 6.9 | 3.2 | 5.7 | 2.3 | virginica || 122 | 5.6 | 2.8 | 4.9 | 2 | virginica || 123 | 7.7 | 2.8 | 6.7 | 2 | virginica || 124 | 6.3 | 2.7 | 4.9 | 1.8 | virginica || 125 | 6.7 | 3.3 | 5.7 | 2.1 | virginica || 126 | 7.2 | 3.2 | 6 | 1.8 | virginica || 127 | 6.2 | 2.8 | 4.8 | 1.8 | virginica || 128 | 6.1 | 3 | 4.9 | 1.8 | virginica || 129 | 6.4 | 2.8 | 5.6 | 2.1 | virginica || 130 | 7.2 | 3 | 5.8 | 1.6 | virginica || 131 | 7.4 | 2.8 | 6.1 | 1.9 | virginica || 132 | 7.9 | 3.8 | 6.4 | 2 | virginica || 133 | 6.4 | 2.8 | 5.6 | 2.2 | virginica || 134 | 6.3 | 2.8 | 5.1 | 1.5 | virginica || 135 | 6.1 | 2.6 | 5.6 | 1.4 | virginica || 136 | 7.7 | 3 | 6.1 | 2.3 | virginica || 137 | 6.3 | 3.4 | 5.6 | 2.4 | virginica || 138 | 6.4 | 3.1 | 5.5 | 1.8 | virginica || 139 | 6 | 3 | 4.8 | 1.8 | virginica || 140 | 6.9 | 3.1 | 5.4 | 2.1 | virginica || 141 | 6.7 | 3.1 | 5.6 | 2.4 | virginica || 142 | 6.9 | 3.1 | 5.1 | 2.3 | virginica || 143 | 5.8 | 2.7 | 5.1 | 1.9 | virginica || 144 | 6.8 | 3.2 | 5.9 | 2.3 | virginica || 145 | 6.7 | 3.3 | 5.7 | 2.5 | virginica || 146 | 6.7 | 3 | 5.2 | 2.3 | virginica || 147 | 6.3 | 2.5 | 5 | 1.9 | virginica || 148 | 6.5 | 3 | 5.2 | 2 | virginica || 149 | 6.2 | 3.4 | 5.4 | 2.3 | virginica || 150 | 5.9 | 3 | 5.1 | 1.8 | virginica |+-----+-------------+------------+-------------+------------+------------+=================================table:sepallength_species====================================+-------------+------------+| sepallength | species |+-------------+------------+| 5.1 | setosa || 4.9 | setosa || 4.7 | setosa || 4.6 | setosa || 5 | setosa || 5.4 | setosa || 4.6 | setosa || 5 | setosa || 4.4 | setosa || 4.9 | setosa || 5.4 | setosa || 4.8 | setosa || 4.8 | setosa || 4.3 | setosa || 5.8 | setosa || 5.7 | setosa || 5.4 | setosa || 5.1 | setosa || 5.7 | setosa || 5.1 | setosa || 5.4 | setosa || 5.1 | setosa || 4.6 | setosa || 5.1 | setosa || 4.8 | setosa || 5 | setosa || 5 | setosa || 5.2 | setosa || 5.2 | setosa || 4.7 | setosa || 4.8 | setosa || 5.4 | setosa || 5.2 | setosa || 5.5 | setosa || 4.9 | setosa || 5 | setosa || 5.5 | setosa || 4.9 | setosa || 4.4 | setosa || 5.1 | setosa || 5 | setosa || 4.5 | setosa || 4.4 | setosa || 5 | setosa || 5.1 | setosa || 4.8 | setosa || 5.1 | setosa || 4.6 | setosa || 5.3 | setosa || 5 | setosa || 7 | versicolor || 6.4 | versicolor || 6.9 | versicolor || 5.5 | versicolor || 6.5 | versicolor || 5.7 | versicolor || 6.3 | versicolor || 4.9 | versicolor || 6.6 | versicolor || 5.2 | versicolor || 5 | versicolor || 5.9 | versicolor || 6 | versicolor || 6.1 | versicolor || 5.6 | versicolor || 6.7 | versicolor || 5.6 | versicolor || 5.8 | versicolor || 6.2 | versicolor || 5.6 | versicolor || 5.9 | versicolor || 6.1 | versicolor || 6.3 | versicolor || 6.1 | versicolor || 6.4 | versicolor || 6.6 | versicolor || 6.8 | versicolor || 6.7 | versicolor || 6 | versicolor || 5.7 | versicolor || 5.5 | versicolor || 5.5 | versicolor || 5.8 | versicolor || 6 | versicolor || 5.4 | versicolor || 6 | versicolor || 6.7 | versicolor || 6.3 | versicolor || 5.6 | versicolor || 5.5 | versicolor || 5.5 | versicolor || 6.1 | versicolor || 5.8 | versicolor || 5 | versicolor || 5.6 | versicolor || 5.7 | versicolor || 5.7 | versicolor || 6.2 | versicolor || 5.1 | versicolor || 5.7 | versicolor || 6.3 | virginica || 5.8 | virginica || 7.1 | virginica || 6.3 | virginica || 6.5 | virginica || 7.6 | virginica || 4.9 | virginica || 7.3 | virginica || 6.7 | virginica || 7.2 | virginica || 6.5 | virginica || 6.4 | virginica || 6.8 | virginica || 5.7 | virginica || 5.8 | virginica || 6.4 | virginica || 6.5 | virginica || 7.7 | virginica || 7.7 | virginica || 6 | virginica || 6.9 | virginica || 5.6 | virginica || 7.7 | virginica || 6.3 | virginica || 6.7 | virginica || 7.2 | virginica || 6.2 | virginica || 6.1 | virginica || 6.4 | virginica || 7.2 | virginica || 7.4 | virginica || 7.9 | virginica || 6.4 | virginica || 6.3 | virginica || 6.1 | virginica || 7.7 | virginica || 6.3 | virginica || 6.4 | virginica || 6 | virginica || 6.9 | virginica || 6.7 | virginica || 6.9 | virginica || 5.8 | virginica || 6.8 | virginica || 6.7 | virginica || 6.7 | virginica || 6.3 | virginica || 6.5 | virginica || 6.2 | virginica || 5.9 | virginica |+-------------+------------+=======================================table:60=>80 rows======================================+----+-------------+------------+-------------+------------+------------+| id | sepallength | sepalwidth | petallength | petalwidth | species |+----+-------------+------------+-------------+------------+------------+| 61 | 5 | 2 | 3.5 | 1 | versicolor || 62 | 5.9 | 3 | 4.2 | 1.5 | versicolor || 63 | 6 | 2.2 | 4 | 1 | versicolor || 64 | 6.1 | 2.9 | 4.7 | 1.4 | versicolor || 65 | 5.6 | 2.9 | 3.6 | 1.3 | versicolor || 66 | 6.7 | 3.1 | 4.4 | 1.4 | versicolor || 67 | 5.6 | 3 | 4.5 | 1.5 | versicolor || 68 | 5.8 | 2.7 | 4.1 | 1 | versicolor || 69 | 6.2 | 2.2 | 4.5 | 1.5 | versicolor || 70 | 5.6 | 2.5 | 3.9 | 1.1 | versicolor || 71 | 5.9 | 3.2 | 4.8 | 1.8 | versicolor || 72 | 6.1 | 2.8 | 4 | 1.3 | versicolor || 73 | 6.3 | 2.5 | 4.9 | 1.5 | versicolor || 74 | 6.1 | 2.8 | 4.7 | 1.2 | versicolor || 75 | 6.4 | 2.9 | 4.3 | 1.3 | versicolor || 76 | 6.6 | 3 | 4.4 | 1.4 | versicolor || 77 | 6.8 | 2.8 | 4.8 | 1.4 | versicolor || 78 | 6.7 | 3 | 5 | 1.7 | versicolor || 79 | 6 | 2.9 | 4.5 | 1.5 | versicolor || 80 | 5.7 | 2.6 | 3.5 | 1 | versicolor |+----+-------------+------------+-------------+------------+------------+ |
这样的结果输出果然是比原始数据好看了许多，这里顺便贴出来代码中使用到的iris.csv数据集，内容如下：
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id,sepallength,sepalwidth,petallength,petalwidth,species1,5.1,3.5,1.4,0.2,setosa2,4.9,3,1.4,0.2,setosa3,4.7,3.2,1.3,0.2,setosa4,4.6,3.1,1.5,0.2,setosa5,5,3.6,1.4,0.2,setosa6,5.4,3.9,1.7,0.4,setosa7,4.6,3.4,1.4,0.3,setosa8,5,3.4,1.5,0.2,setosa9,4.4,2.9,1.4,0.2,setosa10,4.9,3.1,1.5,0.1,setosa11,5.4,3.7,1.5,0.2,setosa12,4.8,3.4,1.6,0.2,setosa13,4.8,3,1.4,0.1,setosa14,4.3,3,1.1,0.1,setosa15,5.8,4,1.2,0.2,setosa16,5.7,4.4,1.5,0.4,setosa17,5.4,3.9,1.3,0.4,setosa18,5.1,3.5,1.4,0.3,setosa19,5.7,3.8,1.7,0.3,setosa20,5.1,3.8,1.5,0.3,setosa21,5.4,3.4,1.7,0.2,setosa22,5.1,3.7,1.5,0.4,setosa23,4.6,3.6,1,0.2,setosa24,5.1,3.3,1.7,0.5,setosa25,4.8,3.4,1.9,0.2,setosa26,5,3,1.6,0.2,setosa27,5,3.4,1.6,0.4,setosa28,5.2,3.5,1.5,0.2,setosa29,5.2,3.4,1.4,0.2,setosa30,4.7,3.2,1.6,0.2,setosa31,4.8,3.1,1.6,0.2,setosa32,5.4,3.4,1.5,0.4,setosa33,5.2,4.1,1.5,0.1,setosa34,5.5,4.2,1.4,0.2,setosa35,4.9,3.1,1.5,0.2,setosa36,5,3.2,1.2,0.2,setosa37,5.5,3.5,1.3,0.2,setosa38,4.9,3.6,1.4,0.1,setosa39,4.4,3,1.3,0.2,setosa40,5.1,3.4,1.5,0.2,setosa41,5,3.5,1.3,0.3,setosa42,4.5,2.3,1.3,0.3,setosa43,4.4,3.2,1.3,0.2,setosa44,5,3.5,1.6,0.6,setosa45,5.1,3.8,1.9,0.4,setosa46,4.8,3,1.4,0.3,setosa47,5.1,3.8,1.6,0.2,setosa48,4.6,3.2,1.4,0.2,setosa49,5.3,3.7,1.5,0.2,setosa50,5,3.3,1.4,0.2,setosa51,7,3.2,4.7,1.4,versicolor52,6.4,3.2,4.5,1.5,versicolor53,6.9,3.1,4.9,1.5,versicolor54,5.5,2.3,4,1.3,versicolor55,6.5,2.8,4.6,1.5,versicolor56,5.7,2.8,4.5,1.3,versicolor57,6.3,3.3,4.7,1.6,versicolor58,4.9,2.4,3.3,1,versicolor59,6.6,2.9,4.6,1.3,versicolor60,5.2,2.7,3.9,1.4,versicolor61,5,2,3.5,1,versicolor62,5.9,3,4.2,1.5,versicolor63,6,2.2,4,1,versicolor64,6.1,2.9,4.7,1.4,versicolor65,5.6,2.9,3.6,1.3,versicolor66,6.7,3.1,4.4,1.4,versicolor67,5.6,3,4.5,1.5,versicolor68,5.8,2.7,4.1,1,versicolor69,6.2,2.2,4.5,1.5,versicolor70,5.6,2.5,3.9,1.1,versicolor71,5.9,3.2,4.8,1.8,versicolor72,6.1,2.8,4,1.3,versicolor73,6.3,2.5,4.9,1.5,versicolor74,6.1,2.8,4.7,1.2,versicolor75,6.4,2.9,4.3,1.3,versicolor76,6.6,3,4.4,1.4,versicolor77,6.8,2.8,4.8,1.4,versicolor78,6.7,3,5,1.7,versicolor79,6,2.9,4.5,1.5,versicolor80,5.7,2.6,3.5,1,versicolor81,5.5,2.4,3.8,1.1,versicolor82,5.5,2.4,3.7,1,versicolor83,5.8,2.7,3.9,1.2,versicolor84,6,2.7,5.1,1.6,versicolor85,5.4,3,4.5,1.5,versicolor86,6,3.4,4.5,1.6,versicolor87,6.7,3.1,4.7,1.5,versicolor88,6.3,2.3,4.4,1.3,versicolor89,5.6,3,4.1,1.3,versicolor90,5.5,2.5,4,1.3,versicolor91,5.5,2.6,4.4,1.2,versicolor92,6.1,3,4.6,1.4,versicolor93,5.8,2.6,4,1.2,versicolor94,5,2.3,3.3,1,versicolor95,5.6,2.7,4.2,1.3,versicolor96,5.7,3,4.2,1.2,versicolor97,5.7,2.9,4.2,1.3,versicolor98,6.2,2.9,4.3,1.3,versicolor99,5.1,2.5,3,1.1,versicolor100,5.7,2.8,4.1,1.3,versicolor101,6.3,3.3,6,2.5,virginica102,5.8,2.7,5.1,1.9,virginica103,7.1,3,5.9,2.1,virginica104,6.3,2.9,5.6,1.8,virginica105,6.5,3,5.8,2.2,virginica106,7.6,3,6.6,2.1,virginica107,4.9,2.5,4.5,1.7,virginica108,7.3,2.9,6.3,1.8,virginica109,6.7,2.5,5.8,1.8,virginica110,7.2,3.6,6.1,2.5,virginica111,6.5,3.2,5.1,2,virginica112,6.4,2.7,5.3,1.9,virginica113,6.8,3,5.5,2.1,virginica114,5.7,2.5,5,2,virginica115,5.8,2.8,5.1,2.4,virginica116,6.4,3.2,5.3,2.3,virginica117,6.5,3,5.5,1.8,virginica118,7.7,3.8,6.7,2.2,virginica119,7.7,2.6,6.9,2.3,virginica120,6,2.2,5,1.5,virginica121,6.9,3.2,5.7,2.3,virginica122,5.6,2.8,4.9,2,virginica123,7.7,2.8,6.7,2,virginica124,6.3,2.7,4.9,1.8,virginica125,6.7,3.3,5.7,2.1,virginica126,7.2,3.2,6,1.8,virginica127,6.2,2.8,4.8,1.8,virginica128,6.1,3,4.9,1.8,virginica129,6.4,2.8,5.6,2.1,virginica130,7.2,3,5.8,1.6,virginica131,7.4,2.8,6.1,1.9,virginica132,7.9,3.8,6.4,2,virginica133,6.4,2.8,5.6,2.2,virginica134,6.3,2.8,5.1,1.5,virginica135,6.1,2.6,5.6,1.4,virginica136,7.7,3,6.1,2.3,virginica137,6.3,3.4,5.6,2.4,virginica138,6.4,3.1,5.5,1.8,virginica139,6,3,4.8,1.8,virginica140,6.9,3.1,5.4,2.1,virginica141,6.7,3.1,5.6,2.4,virginica142,6.9,3.1,5.1,2.3,virginica143,5.8,2.7,5.1,1.9,virginica144,6.8,3.2,5.9,2.3,virginica145,6.7,3.3,5.7,2.5,virginica146,6.7,3,5.2,2.3,virginica147,6.3,2.5,5,1.9,virginica148,6.5,3,5.2,2,virginica149,6.2,3.4,5.4,2.3,virginica150,5.9,3,5.1,1.8,virginica |
prettytable还可以直接从数据库中读取数据显示出来，这里并没有实践这个，上面的代码testfunc2中实现了读取部分列和指定区间行的作用，感兴趣都可以试试。
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持服务器之家。
原文链接：https://blog.csdn.net/xiaowangku/article/details/79938689
