Save 2 dataframes to sheets 1 and 2 in excel with pandas but to keep sheet2 as it is in excel itself?

Question

writer = pd.ExcelWriter('Output.xlsx', engine='xlsxwriter')

Sorted_Dataframe_1.to_excel(writer, sheet_name='Sheet1')
Sorted_Dataframe_2.to_excel(writer, sheet_name='Sheet2')

writer.save()
writer.close()

I have 2 DataFrames which I want to save to an existing excel named 'Output' to Sheet1 and Sheet2, respectively (see code). I am working in Sheet3 in excel itself, and every time I run the code, it deletes the Sheet3, and thus overwrites the whole excel. Is there any function to just 'update' sheets 1 and 2 but not touch the other sheets that I do not recall by the function in the 'Output' xlsx?

Answer 1

Can you set the mode to 'a' (for append). See the Pandas ExcelWriter docs .

writer = pd.ExcelWriter('Output.xlsx', mode='a', engine='xlsxwriter')

Answer 2

Xlsxwriter can only write new excel files from scratch, it cannot append to existing ones. This is explained here :

It cannot read or modify existing Excel XLSX files.

openpyxl supports reading from and appending to existing files, so you should set

with pd.ExcelWriter('output.xlsx',
                    mode='a', engine ='openpyxl') as writer:  
    df.to_excel(writer, sheet_name='Sheet_name_3')

This comes from the docs , but I have added engine ='openpyxl' without which I am not sure it would work.

A very similar question was here: Append a sheet to an existing excel file using openpyxl