OpenPyXL 3.0.7
  • 教程
  • 简单用法
  • 性能
  • 优化模式
  • 插入和删除行和列,移动单元格范围
  • 操纵 Pandas 和 NumPy
  • 图表
  • 注释
  • 操控样式
  • 额外工作表特性
  • 条件格式化
  • 数据透视表
  • 打印设置
  • 使用过滤器和排序
  • 验证单元格
  • 定义名称
  • 工作表表格
  • 剖析公式
  • 日期和时间
  • 保护
  • 开发
  • openpyxl 包
  • 3.0.7 (2021-03-09)
  • 3.0.6 (2021-01-14)
  • 3.0.5 (2020-08-21)
  • 3.0.4 (2020-06-24)
  • 3.0.3 (2020-01-20)
  • 3.0.2 (2019-11-25)
  • 3.0.1 (2019-11-14)
  • 3.0.0 (2019-09-25)
  • 2.6.4 (2019-09-25)
  • 2.6.3 (2019-08-19)
  • 2.6.2 (2019-03-29)
  • 2.6.1 (2019-03-04)
  • 2.6.0 (2019-02-06)
  • 2.6.-b1 (2019-01-08)
  • 2.6-a1 (2018-11-21)
  • 2.5.14 (2019-01-23)
  • 2.5.13 (brown bag)
  • 2.5.12 (2018-11-29)
  • 2.5.11 (2018-11-21)
  • 2.5.10 (2018-11-13)
  • 2.5.9 (2018-10-19)
  • 2.5.8 (2018-09-25)
  • 2.5.7 (2018-09-13)
  • 2.5.6 (2018-08-30)
  • 2.5.5 (2018-08-04)
  • 2.5.4 (2018-06-07)
  • 2.5.3 (2018-04-18)
  • 2.5.2 (2018-04-06)
  • 2.5.1 (2018-03-12)
  • 2.5.0 (2018-01-24)
  • 2.5.0-b2 (2018-01-19)
  • 2.5.0-b1 (2017-10-19)
  • 2.5.0-a3 (2017-08-14)
  • 2.5.0-a2 (2017-06-25)
  • 2.5.0-a1 (2017-05-30)
  • 2.4.11 (2018-01-24)
  • 2.4.10 (2018-01-19)
  • 2.4.9 (2017-10-19)
  • 2.4.8 (2017-05-30)
  • 2.4.7 (2017-04-24)
  • 2.4.6 (2017-04-14)
  • 2.4.5 (2017-03-07)
  • 2.4.4 (2017-02-23)
  • 2.4.3 (未发行)
  • 2.4.2 (2017-01-31)
  • 2.4.1 (2016-11-23)
  • 2.4.0 (2016-09-15)
  • 2.4.0-b1 (2016-06-08)
  • 2.4.0-a1 (2016-04-11)
  • 2.3.5 (2016-04-11)
  • 2.3.4 (2016-03-16)
  • 2.3.3 (2016-01-18)
  • 2.3.2 (2015-12-07)
  • 2.3.1 (2015-11-20)
  • 2.3.0 (2015-10-20)
  • 2.3.0-b2 (2015-09-04)
  • 2.3.0-b1 (2015-06-29)
  • 2.2.6 (未发行)
  • 2.2.5 (2015-06-29)
  • 2.2.4 (2015-06-17)
  • 2.2.3 (2015-05-26)
  • 2.2.2 (2015-04-28)
  • 2.2.1 (2015-03-31)
  • 2.2.0 (2015-03-11)
  • 2.2.0-b1 (2015-02-18)
  • 2.1.5 (2015-02-18)
  • 2.1.4 (2014-12-16)
  • 2.1.3 (2014-12-09)
  • 2.1.2 (2014-10-23)
  • 2.1.1 (2014-10-08)
  • 2.1.0 (2014-09-21)
  • 2.0.5 (2014-08-08)
  • 2.0.4 (2014-06-25)
  • 2.0.3 (2014-05-22)
  • 2.0.2 (2014-05-13)
  • 2.0.1 (2014-05-13) brown bag
  • 2.0.0 (2014-05-13) brown bag
  • 1.8.6 (2014-05-05)
  • 1.8.5 (2014-03-25)
  • 1.8.4 (2014-02-25)
  • 1.8.3 (2014-02-09)
  • 1.8.2 (2014-01-17)
  • 1.8.1 (2014-01-14)
  • 1.8.0 (2014-01-08)
  • 1.7.0 (2013-10-31)
  • 工作表表格

    Worksheet tables are references to groups of cells. This makes certain operations such as styling the cells in a table easier.

    创建表格

    from openpyxl import Workbook
    from openpyxl.worksheet.table import Table, TableStyleInfo
    wb = Workbook()
    ws = wb.active
    data = [
        ['Apples', 10000, 5000, 8000, 6000],
        ['Pears',   2000, 3000, 4000, 5000],
        ['Bananas', 6000, 6000, 6500, 6000],
        ['Oranges',  500,  300,  200,  700],
    ]
    # add column headings. NB. these must be strings
    ws.append(["Fruit", "2011", "2012", "2013", "2014"])
    for row in data:
        ws.append(row)
    tab = Table(displayName="Table1", ref="A1:E5")
    # Add a default style with striped rows and banded columns
    style = TableStyleInfo(name="TableStyleMedium9", showFirstColumn=False,
                           showLastColumn=False, showRowStripes=True, showColumnStripes=True)
    tab.tableStyleInfo = style
    '''
    Table must be added using ws.add_table() method to avoid duplicate names.
    Using this method ensures table name is unque through out defined names and all other table name. 
    '''
    ws.add_table(tab)
    wb.save("table.xlsx")
    					

    Table names must be unique within a workbook. By default tables are created with a header from the first row and filters for all the columns and table headers and column headings must always contain strings.

    警告

    In write-only mode you must add column headings to tables manually and the values must always be the same as the values of the corresponding cells (ee below for an example of how to do this), otherwise Excel may consider the file invalid and remove the table.

    Styles are managed using the the TableStyleInfo object. This allows you to stripe rows or columns and apply the different colour schemes.

    操控表格

    ws.tables is a dictionary-like object of all the tables in a particular worksheet:

    >>> ws.tables
    {"Table1",  <openpyxl.worksheet.table.Table object>}
    					

    按名称或范围获取表格

    >>> ws.tables["Table1"]
    or
    >>> ws.tables["A1:D10"]
    					

    遍历工作表中的所有表格

    >>> for table in ws.tables.values():
    >>>    print(table)
    					

    获取工作表中所有表格的表格名称和范围

    Returns a list of table name and their ranges.

    >>> ws.tables.items()
    >>> [("Table1", "A1:D10")]
    					

    删除表格

    >>> del ws.tables["Table1"]
    					

    工作表中的表格数

    >>> len(ws.tables)
    >>> 1
    					

    手动添加列头

    In write-only mode you can either only add tables without headings:

    >>> table.headerRowCount = False
    					

    Or initialise the column headings manually:

    >>> headings = ["Fruit", "2011", "2012", "2013", "2014"] # all values must be strings
    >>> table._initialise_columns()
    >>> for column, value in zip(table.tableColumns, headings):
        column.name = value