Python Pandas : How to skip columns when reading a file?

Question

I have table formatted as follow :

foo - bar - 10 2e-5 0.0 some information
quz - baz - 4 1e-2 1 some other description in here

When I open

Answer 1

The usecols parameter allows you to select which columns to use:

a = pd.read_table("file", header=None, sep=" ", usecols=range(8))

However, to accept irregular column counts you need to also use engine='python'.