Python PrettyTable模块安装与基础用法详解
发布时间：2026-10-13| 4人浏览过
本文介绍Python中PrettyTable模块的安装方法及基础应用。通过pip命令安装后，可轻松将数据以美观的表格形式打印输出。文章包含创建表头、插入数据及显示表格的具体代码示例，并展示了从CSV文件读取数据及指定行列输出的高级用法，帮助开发者快速掌握该模块的使用。
PrettyTable是一个简洁且功能强大的Python第三方库，主要用于将输入的数据转换为格式化的表格形式进行输出，从而提升展示效果的美观度。本文将对这一模块进行简要试用与介绍。
一、下载与安装
首先，访问pypi.python.org查找并下载PrettyTable库，将其放置于Python安装目录下的Scripts文件夹中。
接着，打开命令提示符工具，切换至Scripts文件夹，执行命令pip install prettytable-0.7.2.tar.bz2以完成模块安装。
二、简单的使用
在使用前，需先导入该模块。
from prettytable import PrettyTable
随后，创建表格的表头信息。
table=PrettyTable(["姓名","学号","性别"])
接着，向表格中插入具体的数据行。
table.add_row(["小明","01","男"]) table.add_row(["小红","02","女"]) table.add_row(["小黄","03","男"])
最后，调用打印命令以显示生成的表格。
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 prettytable
from prettytable import from_csv
from 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')
运行上述代码后的结果如下所示：
=================================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 | 1.1 | versicolor | | 82 | 5.5 | 2.4 | 3.7 | 1 | versicolor | | 83 | 5.8 | 2.7 | 3.9 | 1.2 | versicolor | | 84 | 6 | 2.7 | 5.1 | 1.6 | versicolor | | 85 | 5.4 | 3 | 4.5 | 1.5 | versicolor | | 86 | 6 | 3.4 | 4.5 | 1.6 | versicolor | | 87 | 6.7 | 3.1 | 4.7 | 1.5 | versicolor | | 88 | 6.3 | 2.3 | 4.4 | 1.3 | versicolor | | 89 | 5.6 | 3 | 4.1 | 1.3 | versicolor | | 90 | 5.5 | 2.5 | 4 | 1.3 | versicolor | | 91 | 5.5 | 2.6 | 4.4 | 1.2 | versicolor | | 92 | 6.1 | 3 | 4.6 | 1.4 | versicolor | | 93 | 5.8 | 2.6 | 4 | 1.2 | versicolor | | 94 | 5 | 2.3 | 3.3 | 1 | versicolor | | 95 | 5.6 | 2.7 | 4.2 | 1.3 | versicolor | | 96 | 5.7 | 3 | 4.2 | 1.2 | versicolor | | 97 | 5.7 | 2.9 | 4.2 | 1.3 | versicolor | | 98 | 6.2 | 2.9 | 4.3 | 1.3 | versicolor | | 99 | 5.1 | 2.5 | 3 | 1.1 | versicolor | | 100 | 5.7 | 2.8 | 4.1 | 1.3 | versicolor | | 101 | 6.3 | 3.3 | 6 | 2.5 | virginica | | 102 | 5.8 | 2.7 | 5.1 | 1.9 | virginica | | 103 | 7.1 | 3 | 5.9 | 2.1 | virginica | | 104 | 6.3 | 2.9 | 5.6 | 1.8 | virginica | | 105 | 6.5 | 3 | 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 | +----+-------------+------------+-------------+------------+------------+
这种表格化的输出结果显然比原始数据更加直观美观。此处附带代码中使用的iris.csv数据集内容，具体如下：
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 81,5.5,2.4,3.8,1.1,versicolor 82,5.5,2.4,3.7,1,versicolor 83,5.8,2.7,3.9,1.2,versicolor 84,6,2.7,5.1,1.6,versicolor 85,5.4,3,4.5,1.5,versicolor 86,6,3.4,4.5,1.6,versicolor 87,6.7,3.1,4.7,1.5,versicolor 88,6.3,2.3,4.4,1.3,versicolor 89,5.6,3,4.1,1.3,versicolor 90,5.5,2.5,4,1.3,versicolor 91,5.5,2.6,4.4,1.2,versicolor 92,6.1,3,4.6,1.4,versicolor 93,5.8,2.6,4,1.2,versicolor 94,5,2.3,3.3,1,versicolor 95,5.6,2.7,4.2,1.3,versicolor 96,5.7,3,4.2,1.2,versicolor 97,5.7,2.9,4.2,1.3,versicolor 98,6.2,2.9,4.3,1.3,versicolor 99,5.1,2.5,3,1.1,versicolor 100,5.7,2.8,4.1,1.3,versicolor 101,6.3,3.3,6,2.5,virginica 102,5.8,2.7,5.1,1.9,virginica 103,7.1,3,5.9,2.1,virginica 104,6.3,2.9,5.6,1.8,virginica 105,6.5,3,5.8,2.2,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
此外，PrettyTable还支持直接从数据库读取数据并展示，本文未对此进行实践演示。上述代码中的testFunc2函数实现了读取指定列以及指定区间行的功能，感兴趣的读者可以尝试运行。
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