在现有的内容工作表中显示下面的内容

def test(sheet, row=2): writer = pd.ExcelWriter("testing.xlsx", engine='openpyxl') df1 = pd.DataFrame(['Title'], index=[0]) df2 = pd.DataFrame({'user': ['Bob', 'Jane', 'Alice'], 'income': [40000, 50000, 42000]}) df1.to_excel(writer, sheet, startrow=0, startcol=0, header=None, \ index=False) df2.to_excel(writer, sheet, startrow=row, index=False) writer.save() writer.close() test('aaa') 

在这一刻，这个小函数创build一个单一的Excel工作表。

说明：

假定存在Excel工作表。 我想用下面的代码在现有的行的下面写一些其他的东西。

 In [1]: import pandas as pd In [2]: writer = pd.ExcelWriter("testing.xlsx", engine='openpyxl') In [4]: from openpyxl import load_workbook In [5]: book = load_workbook("testing.xlsx") In [6]: df3 = pd.DataFrame({'amount': ['Chest', 'Bras', 'Braa'], ...: 'income': [40000, 50000, 42000]}) ...: In [8]: writer.book = book In [9]: ws = book.get_sheet_by_name('aaa') In [10]: writer.book Out[10]: <openpyxl.workbook.workbook.Workbook at 0x7f9add4e3048> In [12]: writer.book.sheetnames Out[12]: ['aaa'] In [13]: row = ws.max_row In [14]: row Out[14]: 6 In [15]: df3.to_excel(writer, "aaa", startrow=row + 2, index=False) In [16]: writer.save() 

这段代码的工作几乎是我想要的。 它会创build一个新的工作表aaa1 ，并将df的内容像通常那样放在第8行。 我不想创build新表aaa1 ，而是希望aaa1的内容在aaa的内容下面。 我怎样才能解决这个问题呢？

Answer 1

不幸的是，如果你只是使用pandas.DataFrame.to_excel，将是不可能的。 如果您打算使用openpyxl作为第二部分，我在下面有一个解决scheme。 我用pandas风格格式化单元格的方式与第一部分格式化相同。

 import pandas as pd from openpyxl import load_workbook from openpyxl.utils.dataframe import dataframe_to_rows writer = pd.ExcelWriter("testing.xlsx", engine='openpyxl') book = load_workbook("testing.xlsx") df3 = pd.DataFrame({'amount': ['Chest', 'Bras', 'Braa'], 'income': [40000, 50000, 42000]}) writer.book = book ws = book['aaa'] row = ws.max_row #best way to replicate your insertion of 2 blank rows which ws.append(tuple()) ws.append(tuple()) for r in dataframe_to_rows(df3, index=False, header=True): ws.append(r) #a quick way to give you the same style as you get with the first part for row in ws.iter_rows(min_row=row +3, max_col=2, max_row=row +3): for cell in row: cell.style = 'Pandas' writer.save() 

用期望的输出：