Python Pandas: How to specify the starting cell position when exporting dataframe to Excel

Question

When a dataframe is exported from Pandas to Excel using xlsxwriter, it seems to put the table at cell A1 by default.

Is there a way to change this? I don't mind inserting rows and columns to move the table away from A1, as long as it's done programmatically via pandas or xlsxwriter.

In case it helps, here is my code.

writer = pd.ExcelWriter(r'c:\file.xlsx', engine = 'xlsxwriter')
workbook - writer.book
df.to_excel(writer, index=True, sheet_name ='Sheet1')

I couldn't find any XlsxWriter method for inserting rows and columns either.

Answer 1

to_excel accepts startrow and startcol arguments which are zero-based numbers (ie startrow=1 and startcol=1 will put the top left cell of the table in cell B2).

startrow : upper left cell row to dump data frame

startcol : upper left cell column to dump data frame