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Python办公自动化,五分钟掌握openpyxl操作!

百变鹏仔 3周前 (01-22) #Python
文章标签 五分钟

今天给大家分享一篇用openpyxl操作Excel的文章。

各种数据需要导入Excel?多个Excel要合并?目前,Python处理Excel文件有很多库,openpyxl算是其中功能和性能做的比较好的一个。接下来我将为大家介绍各种Excel操作。

1、打开Excel文件

新建一个Excel文件

>>> from openpyxl import Workbook>>> wb = Workbook()

打开现有Excel文件

>>> from openpyxl import load_workbook>>> wb2 = load_workbook('test.xlsx')

打开大文件时,根据需求使用只读或只写模式减少内存消耗。

wb = load_workbook(filename='large_file.xlsx', read_only=True)wb = Workbook(write_only=True)

2、获取、创建工作表

获取当前活动工作表:

>>> ws = wb.active

创建新的工作表:

>>> ws1 = wb.create_sheet("Mysheet") # insert at the end (default) # or >>> ws2 = wb.create_sheet("Mysheet", 0) # insert at first position # or >>> ws3 = wb.create_sheet("Mysheet", -1) # insert at the penultimate position

使用工作表名字获取工作表:

>>> ws3 = wb["New Title"]

获取所有的工作表名称:

>>> print(wb.sheetnames) ['Sheet2', 'New Title', 'Sheet1']使用for循环遍历所有的工作表: >>> for sheet in wb: ... print(sheet.title)

3、保存

保存到流中在网络中使用:

>>> from tempfile import NamedTemporaryFile >>> from openpyxl import Workbook >>> wb = Workbook() >>> with NamedTemporaryFile() as tmp: wb.save(tmp.name) tmp.seek(0) stream = tmp.read()保存到文件: >>> wb = Workbook() >>> wb.save('balances.xlsx')保存为模板: >>> wb = load_workbook('document.xlsx') >>> wb.template = True >>> wb.save('document_template.xltx')

4、单元格

单元格位置作为工作表的键直接读取:

>>> c = ws['A4']

为单元格赋值:

>>> ws['A4'] = 4 >>> c.value = 'hello, world'

多个单元格 可以使用切片访问单元格区域:

>>> cell_range = ws['A1':'C2']

使用数值格式:

>>> # set date using a Python datetime >>> ws['A1'] = datetime.datetime(2010, 7, 21) >>>>>> ws['A1'].number_format 'yyyy-mm-dd h:mm:ss'

使用公式:

>>> # add a simple formula >>> ws["A1"] = "=SUM(1, 1)"

合并单元格时,除左上角单元格外,所有单元格都将从工作表中删除:

>>> ws.merge_cells('A2:D2') >>> ws.unmerge_cells('A2:D2') >>>>>> # or equivalently >>> ws.merge_cells(start_row=2, start_column=1, end_row=4, end_column=4) >>> ws.unmerge_cells(start_row=2, start_column=1, end_row=4, end_column=4)

5、行、列

可以单独指定行、列、或者行列的范围:

>>> colC = ws['C'] >>> col_range = ws['C:D'] >>> row10 = ws[10] >>> row_range = ws[5:10]

可以使用Worksheet.iter_rows()方法遍历行:

&gt;&gt;&gt; for row in ws.iter_rows(min_row=1, max_col=3, max_row=2): ...for cell in row: ...print(cell) <cell sheet1.a1><cell sheet1.b1><cell sheet1.c1><cell sheet1.a2><cell sheet1.b2><cell sheet1.c2></cell></cell></cell></cell></cell></cell>

同样的Worksheet.iter_cols()方法将遍历列:

&gt;&gt;&gt; for col in ws.iter_cols(min_row=1, max_col=3, max_row=2): ... for cell in col: ... print(cell) <cell sheet1.a1><cell sheet1.a2><cell sheet1.b1><cell sheet1.b2><cell sheet1.c1><cell sheet1.c2></cell></cell></cell></cell></cell></cell>

遍历文件的所有行或列,可以使用Worksheet.rows属性:

&gt;&gt;&gt; ws = wb.active >>> ws['C9'] = 'hello world' >>> tuple(ws.rows) ((, , ), (, , ), (, , ), (, , ), (, , ), (, , ), (, , ), (, , ), (, , ))

或Worksheet.columns属性:

&gt;&gt;&gt; tuple(ws.columns) ((<cell sheet.a1>, <cell sheet.a2>, <cell sheet.a3>, <cell sheet.a4>, <cell sheet.a5>, <cell sheet.a6>, ... <cell sheet.b7>, <cell sheet.b8>, <cell sheet.b9>), (<cell sheet.c1>, <cell sheet.c2>, <cell sheet.c3>, <cell sheet.c4>, <cell sheet.c5>, <cell sheet.c6>, <cell sheet.c7>, <cell sheet.c8>, <cell sheet.c9>))</cell></cell></cell></cell></cell></cell></cell></cell></cell></cell></cell></cell></cell></cell></cell></cell></cell></cell>

使用Worksheet.append()或者迭代使用Worksheet.cell()新增一行数据:

&gt;&gt;&gt; for row in range(1, 40): ... ws1.append(range(600)) &gt;&gt;&gt; for row in range(10, 20): ... for col in range(27, 54): ... _ = ws3.cell(column=col, row=row, value="{0}".format(get_column_letter(col)))

插入操作比较麻烦。可以使用Worksheet.insert_rows()插入一行或几行:

&gt;&gt;&gt; from openpyxl.utils import get_column_letter &gt;&gt;&gt; ws.insert_rows(7)&gt;&gt;&gt; row7 = ws[7]&gt;&gt;&gt; for col in range(27, 54): ... _ = ws3.cell(column=col, row=7, value="{0}".format(get_column_letter(col)))Worksheet.insert_cols()操作类似。Worksheet.delete_rows()和Worksheet.delete_cols()用来批量删除行和列。

6、只读取值

使用Worksheet.values属性遍历工作表中的所有行,但只返回单元格值:

for row in ws.values:for value in row:print(value)

Worksheet.iter_rows()和Worksheet.iter_cols()可以设置values_only参数来仅返回单元格的值:

&gt;&gt;&gt; for row in ws.iter_rows(min_row=1, max_col=3, max_row=2, values_only=True): ... print(row) (None, None, None)(None, None, None)