How to add header row to a pandas DataFrame

I am reading a csv file into pandas. This csv file constists of four columns and some rows, but does not have a header row, which I want to add. I have been trying the following:

    Cov = pd.read_csv("path/to/file.txt", sep='\t')
    Frame=pd.DataFrame([Cov], columns = ["Sequence", "Start", "End", "Coverage"])
    Frame.to_csv("path/to/file.txt", sep='\t')

But when I apply the code, I get the following Error:

    ValueError: Shape of passed values is (1, 1), indices imply (4, 1)

What exactly does the error mean? And what would be a clean way in python to add a header row to my csv file/pandas df?

You can use names directly in the read_csv

names : array-like, default None List of column names to use. If file contains no header row, then you should explicitly pass header=None

    Cov = pd.read_csv("path/to/file.txt", sep='\t', 
                      names = ["Sequence", "Start", "End", "Coverage"])

The line below will not work as you expect. Cov is already a dataframe, assuming it really has 4 columns when it's being read from the file.

    Frame=pd.DataFrame([Cov], columns = ["Sequence", "Start", "End", "Coverage"])

From: stackoverflow.com/q/34091877