pip install openpyxl 具体写入excel表格代码如下: import openpyxl # openpyxl引入模块 def write_to_excel(path: str, sheetStr, info, data): # 实例化一个workbook对象 workbook = openpyxl.Workbook() # 激活一个sheet sheet = workbook.active #为sheet设置一个title sheet.title = sheetStr # 添加表头(不...
from openpyxl.styles import Border,Side border = Border(left=Side(border_style='thin', color='000000'), right=Side(border_style='thin', color='000000'), top=Side(border_style='thin', color='000000'), bottom=Side(border_style='thin', color='000000')) cell.border = border 官方提供的...
data = openpyxl.load_workbook("./标题.xlsx") for num, code in codes.items(): # 这里的code是字典的key # 先填充,最后在进行保存 table = data["Sheet1"] table["B" + str(num)] = code logger.info('===标题:{},表数据行:{},内容:{}', str(sheet2.cell(num, 1).value), str(num)...
pp.pprint(ws['A:B'])# 获取A列到B列的所有cell对象 pp.pprint(ws[1:2])# 获取行1到行2两行的所有cell对象 这里要注意使用这种切片、获取行列对象值的时候不能直接用.value方法,.value只是单独cell即一个单元格的cell时才能直接用,所以要想用这种方法获取切片、行列的值时要配合遍历、列表等方法构建。 2...
write_row()语法格式：worksheet.write_row（row， col， data， cell_format）。# 设置表头样式 ...
row_to_write = sheet.max_row+1 for col_idx,item in enumerate(my_list,start=1): cell_reference= f'{openpyxl.utils.get_column_letter(col_idx)}{row_to_write}' sheet[cell_reference]=item wb.save(r"C:\Users\以权天下\Desktop\gold.xlsx")...
# 第一步：创建工作簿 wb = openpyxl.Workbook() # 第二部：添加工作表sheet = wb.active # ...
cell.border = border # 设置冻结窗口 sheet.freeze_panes = 'K1' wb.save(str_tz_excel_path) wb.close() 使用openpyxl创建一个数据表 ''' 使用openpyxl创建一个数据表'''fromopenpyxlimportWorkbook,load_workbook wb=Workbook()'''创建一个全新的工作簿'''ws=wb.active'''获取当前的工作sheet,即上一步...
总结获取单元格有两种方式: 1.ws[行列名] # 列名使用英文字母 2.ws.cell(row, column) # 列名使用数字 列字母数字转化函数 col_number = openpyxl.utils.column_index_from_string(char) col_char = openpyxl.utils.get_column_letter(number) ·
Now that we know how to access and read data from Excel files, let’s learn how to write to them using Openpyxl. Writing to a Cell There are two ways you can write to a file with Openpyxl. First, you can access the cell directly using its key: ws['K1'] = 'Sum of Sales' Power...