欧美bbbwbbbw肥妇,免费乱码人妻系列日韩,一级黄片

python PrettyTable模塊的安裝與簡(jiǎn)單應(yīng)用

 更新時(shí)間：2019年01月11日 11:32:22   作者：笑忘哭  
prettyTable 是一款很簡(jiǎn)潔但是功能強(qiáng)大的第三方模塊，主要是將輸入的數(shù)據(jù)轉(zhuǎn)化為格式化的形式來(lái)輸出，這篇文章主要介紹了python PrettyTable模塊的安裝與簡(jiǎn)單應(yīng)用，感興趣的小伙伴們可以參考一下

prettyTable 是一款很簡(jiǎn)潔但是功能強(qiáng)大的第三方模塊，主要是將輸入的數(shù)據(jù)轉(zhuǎn)化為格式化的形式來(lái)輸出，即：以表格的形式的打印輸出出來(lái)，能夠起到美觀的效果，今天簡(jiǎn)單地試用了一下，

一、下載與安裝

進(jìn)入pypi.python.org查找并下載PrettyTable將其放在Python文件夾下的Scripts文件夾下

進(jìn)入命令提示符工具，轉(zhuǎn)到Scripts文件夾下，通過(guò)命令pip install prettytable-0.7.2.tar.bz2安裝該模塊

二、簡(jiǎn)單的使用

導(dǎo)入該模塊

from prettytable import PrettyTable

創(chuàng)建表頭

table=PrettyTable(["姓名","學(xué)號(hào)","性別"])

插入數(shù)據(jù)

table.add_row(["小明","01","男"])
table.add_row(["小紅","02","女"])
table.add_row(["小黃","03","男"])

顯示該表

print(table)

三、下面是具體的實(shí)踐：

#!usr/bin/env python
#encoding:utf-8
 
 
'''
__Author__:沂水寒城
功能： PrettyTable 模塊使用
'''
 
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'):
  '''
  從 csv 文件中加載數(shù)據(jù)
  '''
  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')

結(jié)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 |
+----+-------------+------------+-------------+------------+------------+

這樣的結(jié)果輸出果然是比原始數(shù)據(jù)好看了許多，這里順便貼出來(lái)代碼中使用到的iris.csv數(shù)據(jù)集，內(nèi)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還可以直接從數(shù)據(jù)庫(kù)中讀取數(shù)據(jù)顯示出來(lái)，這里并沒(méi)有實(shí)踐這個(gè)，上面的代碼testFunc2中實(shí)現(xiàn)了讀取部分列和指定區(qū)間行的作用，感興趣都可以試試。

以上就是本文的全部?jī)?nèi)容，希望對(duì)大家的學(xué)習(xí)有所幫助，也希望大家多多支持腳本之家。

相關(guān)文章

  • 如何在Cloud Studio上執(zhí)行Python代碼？

    如何在Cloud Studio上執(zhí)行Python代碼？

    這篇文章主要介紹了如何在Cloud Studio上執(zhí)行Python代碼？,文中通過(guò)示例代碼介紹的非常詳細(xì)，對(duì)大家的學(xué)習(xí)或者工作具有一定的參考學(xué)習(xí)價(jià)值,需要的朋友可以參考下
    2019-08-08
  • python小技巧之批量抓取美女圖片

    python小技巧之批量抓取美女圖片

    學(xué)了python以后，知道python的抓取功能其實(shí)是非常強(qiáng)大的，當(dāng)然不能浪費(fèi)，呵呵。我平時(shí)很喜歡美女圖，呵呵，程序員很苦悶的，看看美女，養(yǎng)養(yǎng)眼，增加點(diǎn)樂(lè)趣。好，那就用python寫(xiě)一個(gè)美女圖自動(dòng)抓取程序吧~~
    2014-06-06
  • python實(shí)現(xiàn)對(duì)任意大小圖片均勻切割的示例

    python實(shí)現(xiàn)對(duì)任意大小圖片均勻切割的示例

    今天小編就為大家分享一篇python實(shí)現(xiàn)對(duì)任意大小圖片均勻切割的示例，具有很好的參考價(jià)值，希望對(duì)大家有所幫助。一起跟隨小編過(guò)來(lái)看看吧
    2018-12-12
  • Python基礎(chǔ)之模塊詳解

    Python基礎(chǔ)之模塊詳解

    本文詳細(xì)講解了Python基礎(chǔ)之模塊，文中通過(guò)示例代碼介紹的非常詳細(xì)。對(duì)大家的學(xué)習(xí)或工作具有一定的參考借鑒價(jià)值，需要的朋友可以參考下
    2022-05-05
  • python從sqlite讀取并顯示數(shù)據(jù)的方法

    python從sqlite讀取并顯示數(shù)據(jù)的方法

    這篇文章主要介紹了python從sqlite讀取并顯示數(shù)據(jù)的方法,涉及Python操作SQLite數(shù)據(jù)庫(kù)的讀取及顯示相關(guān)技巧,需要的朋友可以參考下
    2015-05-05
  • 跟老齊學(xué)Python之?dāng)?shù)據(jù)類型總結(jié)

    跟老齊學(xué)Python之?dāng)?shù)據(jù)類型總結(jié)

    前面已經(jīng)洋洋灑灑地介紹了不少數(shù)據(jù)類型。不能再不顧一切地向前沖了，應(yīng)當(dāng)總結(jié)一下。這樣讓看官能夠從總體上對(duì)這些數(shù)據(jù)類型有所了解，如果能夠有一覽眾山小的感覺(jué)，就太好了。
    2014-09-09
  • python基礎(chǔ)之reverse和reversed函數(shù)的介紹及使用

    python基礎(chǔ)之reverse和reversed函數(shù)的介紹及使用

    我們?cè)谡碣Y料的時(shí)候,有的時(shí)候過(guò)于混亂難以整理,這時(shí)我們不妨可以對(duì)它先進(jìn)行一個(gè)排序,這樣可以方便我們?yōu)g覽,查詢,有利于我們整理資料,下面這篇文章主要給大家介紹了關(guān)于python基礎(chǔ)之reverse和reversed函數(shù)的介紹及使用,需要的朋友可以參考下
    2022-12-12
  • Python偏函數(shù)Partial function使用方法實(shí)例詳解

    Python偏函數(shù)Partial function使用方法實(shí)例詳解

    這篇文章主要介紹了Python偏函數(shù)Partial function使用方法實(shí)例詳解,文中通過(guò)示例代碼介紹的非常詳細(xì)，對(duì)大家的學(xué)習(xí)或者工作具有一定的參考學(xué)習(xí)價(jià)值,需要的朋友可以參考下
    2020-06-06
  • Python中Windows和macOS文件路徑格式不一致的解決方法

    Python中Windows和macOS文件路徑格式不一致的解決方法

    在 Python 中,Windows 和 macOS 的文件路徑字符串格式不一致主要體現(xiàn)在路徑分隔符上,這種差異可能導(dǎo)致跨平臺(tái)代碼在處理文件路徑時(shí)出錯(cuò),下面我們看看如何解決吧
    2025-03-03
  • 深入探討opencv圖像矯正算法實(shí)戰(zhàn)

    深入探討opencv圖像矯正算法實(shí)戰(zhàn)

    在機(jī)器視覺(jué)中，對(duì)于圖像的處理有時(shí)候因?yàn)榉胖玫脑驅(qū)е翿OI區(qū)域傾斜，這個(gè)時(shí)候我們會(huì)想辦法把它糾正為正確的角度視角來(lái)，本文主要介紹了opencv圖像矯正算法，感興趣的可以了解一下
    2021-05-05

最新評(píng)論