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python PrettyTable模块的安装与简单应用

Posted in Python onJanuary 11, 2019

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

python PrettyTable模块的安装与简单应用

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 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')

结果如下：

=================================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：

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

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三水点靠木。

python PrettyTable模块的安装与简单应用

- Author -

笑忘哭

声明：登载此文出于传递更多信息之目的，并不意味着赞同其观点或证实其描述。

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