openpyl 模块是解决 Microsoft Excel 2007/2010 之类版本中扩展名是 Excel 2010 xlsx/xlsm/xltx/xltm 的文件的读写的第三方库。

安装

pip install openpyxl

workbook 和 sheet的建立

引入模块

>>> from openpyxl import Workbook

建立工作薄

>>> wb = Workbook()

建立sheet

>>> ws = wb.active

另外还可以在这个sheet后面追加

>>> ws1 = wb.create_sheet()

给sheet重命名

>>> ws.title = "Python"

此时,可以使用下面的方式从工作簿对象中得到 sheet

>>> ws01 = wb['Python'] #sheet 和工作簿的关系,类似键值对的关系
>>> ws is ws01
True

显示所有的sheet

>>> print wb.get_sheet_names()
[u'Python', 'Sheet1', 'Sheet2']

也可以用循环语句,把所有的 sheet 名字打印出来。

>>> for sh in wb:
... print sh.title
...
Python
Sheet1
Sheet2

cell

为了能够清楚理解填数据的过程,将电子表中约定的名称以下图方式说明:
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" alt="" />

对于 sheet,其中的 cell 是它的下级单位。所以,要得到某个 cell,可以这样:

>>> b4 = ws['B4']

这样

>>> a5 = ws.cell("A5")

还有这样

>>> a2 = ws.cell(row = 2, column = 1)

如果要给 B4 添加数据,可以这么做:

>>> ws['B4'] = 4444

因为 b4 引用了一个 cell 对象,所以可以利用这个对象的属性来查看其值:

>>> b4.value
4444
一次创建多个cell
>>> cells = ws["A1":"C3"]
>>> tuple(ws.iter_rows("A1:C3")) #查看
((<Cell Python.A1>, <Cell Python.B1>, <Cell Python.C1>), (<Cell Python.A2>, <Cell Python.B2>, <Cell Python.C2>), (<Cell Python.A3>, <Cell Python.B3>, <Cell Python.C3>))

还可以用下面的循环方法,一个一个地读到每个cell 对象:

IndentationError: expected an indented block
>>> for row in ws.iter_rows("A1:C3"):
... for cell in row:
... print cell
...
<Cell Python.A1>
<Cell Python.B1>
<Cell Python.C1>
<Cell Python.A2>
<Cell Python.B2>
<Cell Python.C2>
<Cell Python.A3>
<Cell Python.B3>
<Cell Python.C3>

给这些cell赋值

>>> i = 1
>>> for row in ws.rows:
... for cell in row:
... cell.value = i
... i += 1
...

查看添加的数据

>>> for col in ws.columns:
... for cell in col:
... print cell.value
...
1
4
7
10
13
2
5
8
11
14
3
6
9
12
15

保存

>>> wb.save("demo.xlsx")

查看工作薄

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" alt="" />

读取已有的电子表格

>>> from openpyxl import load_workbook
>>> wb2 = load_workbook("demo.xlsx")
>>> print wb2.get_sheet_names()
[u'Python', u'Sheet1', u'Sheet2']
>>> ws_wb2 = wb2["Python"]
>>> for row in ws_wb2.rows:
... for cell in row:
... print cell.value
...
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15

其它第三方库

针对电子表格的第三方库,除了上面这个 openpyxl 之外,还有别的,列出几个,供参考,使用方法大同小异。
• xlsxwriter:针对 Excel 2010 格式,如 .xlsx,官方网站:https://xlsxwriter.readthedocs.org/,这个官方文档写的图文并茂。非常好读。
下面两个用来处理 .xls 格式的电子表表格。
• xlrd:网络文件:https://secure.simplistix.co.uk/svn/xlrd/trunk/xlrd/doc/xlrd.html?p=4966
• xlwt:网络文件:http://xlwt.readthedocs.org/en/latest/

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