to dataframe from a CSV file with multiple delimiters

Question

I'm trying to create a pandas dataframe from a CSV that has multiple delimiters. The delimiter for the header(column names) of the CSV is a comma, the rest of the rows are TAB-delimited.

I've tried doing things like this:

df = pd.read_csv('csvfile.csv', names=['Code', 'Name'], header=None, skiprows=1, sep='\t')

It's not a big deal for me to skip the header row since I know what the column names will be any way, but the above isn't working for me. Is there a way I can parse the header row differently than the rest of the data, or is it possible for me to skip the header row and just delimit by TAB?

Answer 1

One way could be:

with open('csvfile.csv', 'r') as f:
    header = f.readline()
    content = f.readlines()

df = pd.DataFrame([ {i:j for i,j in zip(header.strip().split(","), 
     r.strip().split("\t"))}  for r in content ])