data = [ ['a',1], ['b',2], ['c',3] ] for row in data: sheet.append(row) (3)插入公式到单元格 sheet['F100'] = '=AVERAGE(F2:F99)' 查看openpyxl支持的公式: from openpyxl.utils import FORMULAE print(FORMULAE) (4)表格新增行和列 sheet.insert_cols(idx=2, amount=3) sheet.ins...
我正在将一些数据导出到Excel中,并且在导出到Excel文件时,我成功地实现了对列中每个填充单元格的格式化,如下所示: import openpyxl from openpyxl.utils import get_column_letter wb = openpyxl.Workbook() ws = wb.active # Add rows to worksheet for row in data: ws.append(row) # Disable formatting numb...
data = Reference(sh,min_col=2,min_row=1,max_col=4,max_row=7) # 给图表增加数据 chart.add_data(data) # 设置图表的名称 chart.title = 'Line Chart' # 设置图表的x轴名 chart.x_axis.title = '时间' # 设置图表的y轴名 chart.y_axis.title = '数量' # 把图表增加到工作簿 sh.add_...
foreach(DataRow rowintable.Rows) { cells.Add(rowIndex, 1, rowIndex); cells.Add(rowIndex, 2,"名称"+rowIndex); rowIndex++; } xls.Send(); } 在添加标题行cell之后,添加了一行: sheet.Rows[1].RowHeight = 18 * 20; 这一行必须写在添加完cell之后,因为添加cell的时候才会自动创建一个Row对象...
用我现在用来达到预期结果的代码来回答这个问题。请注意，我是在位置1处手动插入行，但这应该足够容易，...
x = chart.Reference(ws, min_row = 2, max_row = 4, min_col = 1) #柱状图添加数据 c.add_data(data,titles_from_data=True) #柱状图添加X轴 c.set_categories(x) #在工作表中添加柱状图 ws.add_chart(c,"F1") wb.save("实例3.xlsx") ...
>>> path = "/data/wb.xlsx" # 加载表格文件 >>> wb_obj = openpyxl.load_workbook(path) # 激活默认的工作表 >>> sheet_obj = wb_obj.active # 选择第一行第一列的单元格,也就是A1单元格 >>> cell_obj = sheet_obj.cell(row = 1, column = 1) ...
values= Reference(ws, min_col=1, min_row=1, max_col=1, max_row=10) chart=BarChart() chart.add_data(values) ws.add_chart(chart,"E15") wb.save("sample.xlsx") 2.11 画饼状图 #-*- coding: utf-8 -*-fromopenpyxlimportload_workbookfromopenpyxlimportWorkbookfromopenpyxl.chartimport(PieCha...
for row in data: ws.append(row) tab = Table(displayName="Table1", ref="A1:E5") # Add a default style with striped rows and banded columns style = TableStyleInfo(name="TableStyleMedium9", showFirstColumn=True, showLastColumn=True, showRowStripes=True, showColumnStripes=True) ...
_data/data01.xlsx') sh1 = wb['Sheet1'] # 切片 cells1 = sh1['c2':'d3'] # print(cells1) # 整行,整列 cell_row3 = sh1[3] cell_col3 = sh1['c'] print(cell_row3) print(cell_col3) cell_row3_5 = sh1[3:5] print(cell_row3_5) # 通过迭代获取数据 # for row in ...