python 读取行数据_openpyxl读取所有行数据之rows属性

openpyxl读取一个sheet的所有行数据可以用rows属性，官方文档如下：

If you need to iterate through all the rows or columns of a file, you can instead use the Worksheet.rows property:

sheet的rows属性返回的是一个生成器，如下：

# -*- coding: utf-8 -*-

from openpyxl import load_workbook

wb = load_workbook('test.xlsx',data_only=True)

for sheet in wb:

sheet_name = sheet.title

data_all = sheet.rows

print('sheet名:',sheet_name)

print(data_all)

sheet名: 北京

sheet名: 上海

sheet名: 杭州

可以直接遍历生成器也可以使用tuple将生成器变为元组来输出行：

# -*- coding: utf-8 -*-

from openpyxl import load_workbook

wb = load_workbook('test.xlsx',data_only=True)

for sheet in wb:

sheet_name = sheet.title

data_all = sheet.rows

print('sheet名:',sheet_name)

data_tuple = tuple(data_all)

for row in data_tuple:

print(row)

sheet名: 北京

(, )

(, )

(, )

(, )

(, )

(, )

(, )

sheet名: 上海

(, )

(, )

(, )

(, )

(, )

(, )

(, )

(, )

(, )

(, )

(, )

sheet名: 杭州

(, )

(, )

(, )

(, )

(, )

(, )

(, )

(, )

(, )

(, )

(, )

输出元格的数据，需要value属性：

# -*- coding: utf-8 -*-

from openpyxl import load_workbook

wb = load_workbook('test.xlsx',data_only=True)

for sheet in wb:

sheet_name = sheet.title

data_all = sheet.rows

print('sheet名:',sheet_name)

data_tuple = tuple(data_all)

for row in data_tuple:

print('===一行数据如下===:')

for cell in row:

value = cell.value

print(value)

sheet名: 北京

===一行数据如下===:

贡院6号

https://bj.5i5j.com/xiaoqu/117460.html

===一行数据如下===:

万年花城二期

https://bj.5i5j.com/xiaoqu/369118.html

===一行数据如下===:

铁医新楼

https://bj.5i5j.com/xiaoqu/428075.html

===一行数据如下===:

百万庄大街乙21号楼

https://bj.5i5j.com/xiaoqu/14042.html

===一行数据如下===:

观澳园

https://bj.5i5j.com/xiaoqu/3464.html

===一行数据如下===:

天鹅湾南区

https://bj.5i5j.com/xiaoqu/10522.html

===一行数据如下===:

报国寺1号院

https://bj.5i5j.com/xiaoqu/6250.html

sheet名: 上海

===一行数据如下===:

静安豪景苑

https://sh.5i5j.com/xiaoqu/79364.html

===一行数据如下===:

新泾苑

https://sh.5i5j.com/xiaoqu/138741.html

===一行数据如下===:

兆嘉苑

https://sh.5i5j.com/xiaoqu/367631.html

===一行数据如下===:

天山怡景苑

https://sh.5i5j.com/xiaoqu/385850.html

===一行数据如下===:

金星绿苑

https://sh.5i5j.com/xiaoqu/390212.html

===一行数据如下===:

申晖小区

https://sh.5i5j.com/xiaoqu/436536.html

===一行数据如下===:

共康四村

https://sh.5i5j.com/xiaoqu/197400.html

===一行数据如下===:

崧泽华城青湖苑

https://sh.5i5j.com/xiaoqu/377290.html

===一行数据如下===:

新昌里公寓

https://sh.5i5j.com/xiaoqu/47394.html

===一行数据如下===:

建国西路158弄

https://sh.5i5j.com/xiaoqu/125420.html

===一行数据如下===:

蔷薇七村

https://sh.5i5j.com/xiaoqu/388767.html

sheet名: 杭州

===一行数据如下===:

复兴城市家园

https://hz.5i5j.com/xiaoqu/100000000001038.html

===一行数据如下===:

木材新村

https://hz.5i5j.com/xiaoqu/100000000004309.html

===一行数据如下===:

万寿亭街

https://hz.5i5j.com/xiaoqu/100000000002688.html

===一行数据如下===:

瓶窑镇凤溪路

https://hz.5i5j.com/xiaoqu/100000000000367.html

===一行数据如下===:

孝子坊

https://hz.5i5j.com/xiaoqu/100000000002902.html

===一行数据如下===:

永和坊

https://hz.5i5j.com/xiaoqu/100000000002147.html

===一行数据如下===:

教工路131号

https://hz.5i5j.com/xiaoqu/100000000001423.html

===一行数据如下===:

星星港湾琴海居

https://hz.5i5j.com/xiaoqu/100000000005718.html

===一行数据如下===:

文二路98号

https://hz.5i5j.com/xiaoqu/100000000001269.html

===一行数据如下===:

龙悦湾

https://hz.5i5j.com/xiaoqu/100000000006161.html

===一行数据如下===:

意盛花苑

https://hz.5i5j.com/xiaoqu/100000000002797.html