importcsv filename="output.csv"withopen(filename,mode='w',newline='')asfile:writer=csv.writer(file)# 写入标题行writer.writerow(["Column 1","Column 2","Column 3"])# 写入数据行fordataindata_set:writer.writerow([data.col1,data.col2,data.col3]) 1. 2. 3. 4. 5. 6. 7. 8. 9...
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...
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!
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...
我们可以使用sheet.write_row和sheet.write_column方法将可编辑项写入Excel工作表。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 calc_cols = ['年份','收入','支出','可投资收入','累积财富'] ws_2.write_row(9,1,calc_cols) ws_2.write_column(10,1,range(variables['年数'])) 然后,我们...
worksheet.write_string(0, 0, 'Your text here') worksheet.write_string('A2', 'or here') # 不支持NAN和INF,并且会引发TypeError异常。 worksheet.write_number(0, 0, 123456) worksheet.write_number('A2', 2.3451) worksheet.write_formula(0, 0, '=B3 + B4') ...
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 ...
defdata_bar():ws.write('P1','data bar')ws.write_column('P2',list_3)ws.conditional_format('P2:P22',{'type':'data_bar','bar_color':'green','bar_only':True,#True-没有数据,False-显示数据'bar_solid':False,# True-纯色填充,False-渐变色'bar_negative_color':'red','bar_direction':...
worksheet.write_column(1,col_pos,col_data) chart1 = workbook.add_chart({'type': 'column'}) col_start = 1 row_end = len(min_list[0]) row_start=1 for col_position in range(1,len(min_list[0]) +1 ): chart1.add_series({ ...
(row=1,column=11)#功能函数defstr_trans_to_md5(self):src=self.init_data_Text.get(1.0,END).strip().replace("\n","").encode()#print("src =",src)ifsrc:try:myMd5=hashlib.md5()myMd5.update(src)myMd5_Digest=myMd5.hexdigest()#print(myMd5_Digest)#输出到界面self.result_data_Text....