headings = ['a','b','c'] worksheet1.write_row('A1', headings) #从A1单元格开始 5. 写入列: data1= ['1','2','3'] worksheet1.write_column('A2', data1) #从A2单元格开始 6. 创建折线图: chart = workbook.add_chart({'type':'line'}) 7. 为折线图指定数据: values ='=Request!
print("row:", ws.max_row, "column:", ws.max_column) # 打印行数,列数 for i in range(1, ws.max_row + 1): ws.row_dimensions[i].height = height for i in range(1, ws.max_column + 1): ws.column_dimensions[get_column_letter(i)].width = width workbook.save('test.xlsx') 合...
其中需要传入row,col 参数的是用来确定从哪个单元格开始写入,可以将参数替换为字母与数字的组合如‘A1’对应(row=0,col=0) write_row(row, col, data, cell_format=None) 从行(col)开始写,列固定 write_column(row, col, data, cell_format=None) 从列(row)开始写,行固定 insert_image(row, col, file...
worksheet.write(1, 0, 'World') # write_string() worksheet.write(2, 0, 2) # write_number() worksheet.write(3, 0, 3.00001) # write_number() worksheet.write(4, 0, '=SIN(PI()/4)') # write_formula() worksheet.write(5, 0, '') # write_blank() worksheet.write(6, 0, None) ...
CSVFile-name: string-mode: string-file: file-writer: csv.writer+__init__(name: string, mode: string)+write_column(data: list)+close() 在上面的类图中,CSVFile类表示一个CSV文件。它具有以下属性和方法: name:文件名 mode:打开模式 file:文件对象 ...
sheet.write_row('A1', data, new_format) # A1:从A1单元格开始插入数据,按列插入 sheet.write_column('A1', data, new_format) 7.4. openpyxl 写入数据# wb = openpyxl.load_workbook(xlsx_path) # wb = Workbook # sheet = wb.active #一、写入单元格 ...
上述例子中的插入数据我们运用了和第一个例子不一样的for循环插入,运用的是worksheet.write_column()对整行整列进行数据添加。 注意:如果表格里的图表没有显示则在这代码里改worksheet = workbook.add_worksheet(),删除里面的参数,原因是Excel的版本问题。
sheet.write_column('A1', data, new_format) 7.4. openpyxl 写入数据 # wb = openpyxl.load_workbook(xlsx_path) # wb = Workbook() # sheet = wb.active #一、写入单元格 cell = sheet['A1'] cell.value = '业务需求' #二、写入一行或多行数据 ...
sheet.write(0, col, column) forrow, datainenumerate(datas): forcol, column_datainenumerate(data): sheet.write(row+1, col, column_data) workbook.save('瓜子二手车1.xls') 使用openpyxl生成xlsx的excel文件 # 使用openpyxl生成xlsx的excel文件 ...
defbased_on_number_input():ws.merge_range('B18:C18','使用数字输入')ws.write('B19',7)## 阈值 ws.write('C19',5)## 阈值 ws.write_column('B20',list_1)ws.write_column('C20',list_2)ws.conditional_format('B20:C29',{'type':'cell','criteria':'>','value':'B19','format':format...