[Python] How can I remove extra whitespace from strings when parsing a csv file in Pandas?

I have the following file named 'data.csv':

1997,Ford,E350
1997, Ford , E350
1997,Ford,E350,"Super, luxurious truck"
1997,Ford,E350,"Super ""luxurious"" truck"
1997,Ford,E350," Super luxurious truck "
"1997",Ford,E350
1997,Ford,E350
2000,Mercury,Cougar


And I would like to parse it into a pandas DataFrame so that the DataFrame looks as follows:

Year Make Model Description
0 1997 Ford E350 None
1 1997 Ford E350 None
2 1997 Ford E350 Super, luxurious truck
3 1997 Ford E350 Super "luxurious" truck
4 1997 Ford E350 Super luxurious truck
5 1997 Ford E350 None
6 1997 Ford E350 None
7 2000 Mercury Cougar None


The best I could do was:

pd.read_table("data.csv", sep=r',', names=["Year", "Make", "Model", "Description"])


Which gets me:

Year Make Model Description
0 1997 Ford E350 None
1 1997 Ford E350 None
2 1997 Ford E350 Super, luxurious truck
3 1997 Ford E350 Super "luxurious" truck
4 1997 Ford E350 Super luxurious truck
5 1997 Ford E350 None
6 1997 Ford E350 None
7 2000 Mercury Cougar None


How can I get the DataFrame without those whitespaces?

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