if_sheet_exists="replace" #如果已经存在,就替换掉 ) as writer: title_df.to_excel(writer, sheet_name='Dashboard')# 加载文档,指定工作表是哪个wb = load_workbook(file_name)sheet = wb['Dashboard']for x in range(1,22): sheet.merge_cells('A1:R4') cell = sheet.cell(row=1, column=1...
importopenpyxldefcreate_sheet_if_not_exists(file_name,sheet_name):try:# 加载Excel文件workbook=openpyxl.load_workbook(file_name)exceptFileNotFoundError:# 文件不存在,创建新文件workbook=openpyxl.Workbook()# 检查工作表是否存在ifsheet_nameinworkbook.sheetnames:print(f"'{sheet_name}' 工作表已存在。")e...
from datetime import datetime,date if sheet1.cell(3,6).ctype == 3 : print(sheet1.cell(3, 6).value) # 41463.0 date_value = xlrd.xldate_as_tuple(sheet1.cell(3, 6).value, data.datemode) print(date_value) # (2013, 7, 8, 0, 0, 0) print(date(*date_value[:3])) # 2013-07...
df=pd.read_excel("付款信息.xlsx")df.insert(1,'占位符1',pd.NA)df.insert(len(df.columns)-1,'占位符2',pd.NA)df['文件']=df.index// 3defto_excel(dataframe):withpd.ExcelWriter(filename,engine='openpyxl',mode='a',if_sheet_exists='overlay')asexcel:sh=excel.book.active sheet_name=s...
with pd.ExcelWriter('output.xlsx', mode='a', if_sheet_exists='overlay') as writer: df2.to_excel(writer, sheet_name='Sheet1', index=False) 总结 通过本文的介绍,我们了解了如何使用Python中的pandas库来读取和处理Excel文件。pandas提供了丰富的数据处理功能,使得在Python中处理Excel文件变得非常方便。
if_sheet_exists:在a追加模式下,如果要写的sheet存在,支持{‘error’, ‘new’, ‘replace’, ‘overlay’}, default ‘error’ error:抛出ValueError错误 new:创建一个新的sheet名字,名字由引擎自己分配 replace:替换原有的sheet,原有sheet将被修改 overlay:修改原有内容,并不删除原有sheet df1 = pd.DataFrame...
批量判断的话遍历目录中的每一个文件,先判断文件类型,再判断文件是否包含指定的 sheet fromopenpyxlimportload_workbook wb= load_workbook(file_workbook, read_only=True)#open an Excel file and return a workbookif'sheet1'inwb.sheetnames:print('sheet1 exists') ...
<Picture 'MyPlot' in <Sheet [商品清单.xlsx]表二>> 修改表三中A1单元格的宽和高 连接表三 sht_...
result=[]path=r"E:\\PythonCrawler\\python_crawler-master\\MergeExcelSheet\\testfile\\file"forroot,dirs,filesinos.walk(path,topdown=False):fornameinfiles:ifname.endswith(".xls")or name.endswith(".xlsx"):df=pd.read_excel(os.path.join(root,name),sheet_name=None)result.append(df)data_li...
p1=os.path.exists(path)ifp1:ifrecreate: os.remove(path) wk=workbook.Workbook() sheet_method(wk, add_sheet) # save workbook wk.save(path) print("Had been deleted and recreated"+filename)else: # error_info='Exist'+ filename +'in path:'+path\ ...