i have the following excel file, and i would like to clean specific rows/columns so that i can further process the file.
I have tried this, but i have not managed to remove any of the blank lines, i ve only managed to trim from those containing data. Here, i was trying to only save the data from the third row and on.
xl = pd.ExcelFile("MRD.xlsx") df = xl.parse("Sheet3") df2 = df.iloc[3:] writer4 = pd.ExcelWriter('pandas3.out.no3lines.xlsx', engine='xlsxwriter') table5 = pd.DataFrame(df2) table5.to_excel(writer4, sheet_name='Sheet1') writer4.save()
I specifically want to remove rows 1, 3 (the empty ones) and the first column, so that i can pivot it. Is there a way to do this? Thank you.