["python","pandas","csv","readfile"]
Skip rows during csv import pandas

I'm trying to import a .csv file using pandas.read_csv(), however, I don't want to import the 2nd row of the data file (the row with index = 1 for 0-indexing). I can't see how not to import it because the arguments used with the command seem ambiguous: From the pandas website: skiprows : list-like or integer Row numbers to skip (0-indexed) or number of rows to skip (int) at the start of the file." If I put skiprows=1 in the arguments, how does it know whether to skip the first row or skip the row with index 1?
You can try yourself: >>> import pandas as pd >>> from io import StringIO >>> s = """1, 2 ... 3, 4 ... 5, 6""" >>> pd.read_csv(StringIO(s), skiprows=[1], header=None) 0 1 0 1 2 1 5 6 >>> pd.read_csv(StringIO(s), skiprows=1, header=None) 0 1 0 3 4 1 5 6