Read tab-delimited fields with pandas, some lines with more than one tabs

Question

I am trying to read a tab separated txt file using Pandas. The file looks like this:

data file sample

14.38   14.21   0.8951  5.386   3.312   2.462   4.9         


        

Answer 1

Pandas read_csv is very versatile, you can use it with delim_whitespace = True to handle variable number of whitespaces.

df = pd.read_csv(filename, delim_whitespace=True)

Option 2: Use separator argument

df = pd.read_csv(filename, sep='\t+')