python-批量操作excel

批量新增excel文件

python 复制代码

	import os
	import xlwings  as xw
	app = xw.App(visible=True,add_book=False)#visible设置为ture的时候会自动打开创建的excel文件，设为为false的时候不会看到excel文件打开了，实际进程占用了....
	dept_list = ['人事部','财务部','研发部','行政部']
	path = os.path.abspath(os.path.abspath(os.path.dirname(__file__)))
	dept_path = os.path.join(path,'excel文件')
	
	for dept in dept_list:
	    workbook = app.books.add()
	    workbook.save(f'{dept_path}/部门业绩-{dept}.xlsx')

批量打开excel文件

python 复制代码

import os
import xlwings  as xw
app = xw.App(visible=True,add_book=False)
for dir,curdir,files in os.walk(dept_path):
    if files:
       for  file in files:
            file_path = os.path.join(dir,file)
            if file.endswith('.xlsx'):
                app.books.open(file_path)

批量修改excel文件工作表名

 import os
 import xlwings  as xw
 app = xw.App(visible=False,add_book=False)
 path = os.path.abspath(os.path.abspath(os.path.dirname(__file__)))
 dept_path = os.path.join(path,'excel文件')
 #批量修改  【部门业绩-行政部.xlsx  】 这个文件的工作表名
 workbook =app.books.open(f'{dept_path}\部门业绩-行政部.xlsx')
 for sheet in workbook.sheets:
     sheet.name = sheet.name.replace('Sheet','部门')
 workbook.save()
 app.quit()

4.合并相似excel文件内容到一个excel（只会合并每个excel第一个sheet页的内容）

python 复制代码

	import pandas as pd
	data_list = []
	for dir,curdir,files in os.walk(dept_path):
	    if files:
	       for  file in files:
	            file_path = os.path.join(dir,file)
	            if file.endswith('.xlsx') and file.startswith('部门业绩-'):
	                data_list.append(pd.read_excel(file_path))
	
	data_all = pd.concat(data_list)
	data_all.to_excel('部门业绩.xlsx')

合并一个excel文件多个sheet页内容到第一个sheet页中

python 复制代码

import pandas as pd
import xlwings as xw
file = f'{dept_path}\部门业绩-行政部.xlsx'
df_list = pd.read_excel(file,sheet_name=None)
df_all = pd.concat(df_list.values())
app=xw.App(visible=False,add_book=False)
workbook = app.books.open(file)
workbook.sheets.add('汇总表',before=workbook.sheets[0])
workbook.sheets['汇总表'].range('A1').options(index=False).value=df_all
workbook.save()
workbook.close()
app.quit()

拆分excel表（按照某个分类拆分成不同的excel表）

python 复制代码

import pandas as pd
file = f'{dept_path}\产品表.xlsx'
df= pd.read_excel(file)
products = df['产品类型'].unique()  #去重获取产品类型这一列所有产品

for product in products:
    df_product = df[df['产品类型']==product]
    df_product.to_excel(f'{dept_path}\产品表-{product}.xlsx')

拆分excel表（按照某个分类拆分成不同的sheet页）

python 复制代码

import pandas as pd
file = f'{dept_path}\采购表.xlsx'
#读取所有sheet页
df_list= pd.read_excel(file,sheet_name=None,parse_dates=False)
#合并成一个大数据表
df_all = pd.concat(df_list.values())

file2 = f'{dept_path}\采购表-按产品类分.xlsx'
excel_writer = pd.ExcelWriter(file2,date_format='YYYY-MM-DD')
for product,df in df_all.groupby('产品类型'):
    df.to_excel(excel_writer,product,index=False)
excel_writer.save()

比较2个excel文件内容

python 复制代码

import os
import xlwings  as xw

app = xw.App(visible=False,add_book=False)
file = f'{dept_path}\产品表.xlsx'
file_back = f'{dept_path}\产品表-备份.xlsx'
book = app.books.open(file)
book_backup = app.books.open(file_back)

for row in book.sheets[0].range('A1').expand():
    for cell in row:
        backup_cell = book_backup.sheets[0].range(cell.address)
        if cell.value != backup_cell.value:
            cell.color = backup_cell.color = (255,0,0)
book.save()
book.close()
book_backup.save()
book_backup.close()
app.quit()