如何使用python2.7.14更新具有不同数据框的同一Excel工作表而不会覆盖excel文件中存在的先前数据？

Question

Lets say I have 3 different dataframe which I am generating the dataframe in looping. So currently I am converting the data frame to excel file. I am able to convert only one data frame to excel. But I need to update all the 3 dataframes with different data should be appended one after the other in excel file. How can I achieve that? Is it possible to do?

My Current code. I am converting different dataframe to different sheets of the excel file.

Note: I need to append to only one excel sheet .

for itr in range(0,3):
        df["users"] = UserArray
        for action in range(len(ColumnName)):
            Array = []
            for user in range(int(usercount)): 
                #calling Copylogs function to copy the required logs and actions in script into another file        
                Array.append(CopyLogs(abs_read_path,itr+1,user+1,ColumnName[action]))
            Array1 = AverageStatistics(Array)
            df[ColumnName[action]] = Array1
        print df
        print "\n"
        df.to_excel(writer,sheet_name="TimeStampsOfItr="+str(itr+1))
    writer.save()

Answer 1

Do you mean writing the dataframes to different sheets in the file? That can be done with the sheet_name= parameter of pandas.DataFrame.to_excel although you'll have to make sure each write is complete and the file released before doing the next one. Try moving the writer.save() into the loop. If you don't want to do that establish the writer instance separately and use it for multiple dataframes on different sheets.

If you want to successively write to the same sheet in the excel file but in different places that overlap in space you'll need to compose the different data together in pandas and then write to the target sheet from a single dataframe. The particulars of pandas writing to excel don't provide a mechanism for writing just odd rows then just even rows, for example.

Edit: more information added to question