Python tablib模块

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Python tablib模块是第三方模块，主要作用是将数据导出为各种不同的格式，包括excel，json，html，yaml，csv，tsv等格式，怎么样，有点心动了吧，当然这个模块使用起来也是超级简单的

首先安装这个模块，打开cmd，然后python –m pip install tablib就可以啦

安装好之后，就可以使用啦，下面举个简单的栗子就知道怎么用啦

import tablibimport os#创建dataset，方法1dataset1 = tablib.Dataset()header1 = ('ID', 'Name', 'Tel', 'Age')dataset1.headers = header1 dataset1.append([1, 'zhangsan', 13711111111, 16])dataset1.append([2, 'lisi',     13811111111, 18])dataset1.append([3, 'wangwu',   13911111111, 20])dataset1.append([4, 'zhaoliu',  15811111111, 25])print('dataset1:', os.linesep, dataset1, os.linesep)#创建dataset，方法2header2 = ('ID', 'Name', 'Tel', 'Age')data2 = [    [1, 'zhangsan', 13711111111, 16],    [2, 'lisi',     13811111111, 18],    [3, 'wangwu',   13911111111, 20],    [4, 'zhaoliu',  15811111111, 25]]dataset2 = tablib.Dataset(*data2, headers = header2)print('dataset2: ', os.linesep, dataset2, os.linesep)#增加行dataset1.append([5, 'sunqi', 15911111111, 30])      #添加到最后一行的下面dataset1.insert(0, [0, 'liuyi', 18211111111, 35])   #在指定位置添加行print('增加行后的dataset1: ', os.linesep, dataset1, os.linesep)#删除行dataset1.pop()      #删除最后一行dataset1.lpop()     #删除第一行del dataset1[0:2]   #删除第[0,2)行数据print('删除行后的dataset1:', os.linesep, dataset1, os.linesep)#增加列#现在dataset1就剩两行数据了dataset1.append_col(('beijing', 'shenzhen'), header='city')     #增加列到最后一列dataset1.insert_col(2, ('male', 'female'), header='sex')        #在指定位置添加列print('增加列后的dataset1: ', os.linesep, dataset1, os.linesep)#删除列del dataset1['Tel']print('删除列后的dataset1: ', os.linesep, dataset1, os.linesep)#获取各种格式的数据print('yaml format: ', os.linesep ,dataset1.yaml, os.linesep)print('csv format: ' , os.linesep ,dataset1.csv , os.linesep)print('tsv format: ' , os.linesep ,dataset1.tsv , os.linesep)#导出到Excel表格中dataset1.title = 'dataset1'     #设置Excel中表单的名称dataset2.title = 'dataset2'myfile = open('mydata.xlsx', 'wb')myfile.write(dataset1.xlsx)myfile.close()#如果有多个sheet表单，使用DataBook就可以了myDataBook = tablib.Databook((dataset1, dataset2))myfile = open(myfile.name, 'wb')myfile.write(myDataBook.xlsx)myfile.close()

输出的结果为：

dataset1: ID|Name    |Tel        |Age--|--------|-----------|---1 |zhangsan|13711111111|16 2 |lisi    |13811111111|18 3 |wangwu  |13911111111|20 4 |zhaoliu |15811111111|25  dataset2:  ID|Name    |Tel        |Age--|--------|-----------|---1 |zhangsan|13711111111|16 2 |lisi    |13811111111|18 3 |wangwu  |13911111111|20 4 |zhaoliu |15811111111|25  增加行后的dataset1:  ID|Name    |Tel        |Age--|--------|-----------|---0 |liuyi   |18211111111|35 1 |zhangsan|13711111111|16 2 |lisi    |13811111111|18 3 |wangwu  |13911111111|20 4 |zhaoliu |15811111111|25 5 |sunqi   |15911111111|30  删除行后的dataset1: ID|Name   |Tel        |Age--|-------|-----------|---3 |wangwu |13911111111|20 4 |zhaoliu|15811111111|25  增加列后的dataset1:  ID|Name   |sex   |Tel        |Age|city    --|-------|------|-----------|---|--------3 |wangwu |male  |13911111111|20 |beijing 4 |zhaoliu|female|15811111111|25 |shenzhen 删除列后的dataset1:  ID|Name   |sex   |Age|city    --|-------|------|---|--------3 |wangwu |male  |20 |beijing 4 |zhaoliu|female|25 |shenzhen yaml format:  - {Age: 20, ID: 3, Name: wangwu, city: beijing, sex: male}- {Age: 25, ID: 4, Name: zhaoliu, city: shenzhen, sex: female} csv format:  ID,Name,sex,Age,city3,wangwu,male,20,beijing4,zhaoliu,female,25,shenzhen tsv format:  IDNamesexAgecity3wangwumale20beijing4zhaoliufemale25shenzhen

怎么样，是不是很简单呢~~~

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