How do I parse numbers with thousands separator in pandas read_csv?

I have a CSV file with lines as follows:

"Dec 30, 2021","1,234.11","1,654.22","11,876.23","1,676,234"

I have learn from a previous post that I can use:

parse_dates=['Date']

To get the date parsed (that works).
However I would like columns 2-4 as np.float64 and column 5 as int64. How can I achieve that?

I have tried this:

data = pd.read_csv("file.csv",  parse_dates=['Date'], dtype=[np.datetime64, np.float64, np.float64, np.float64, np.float64, np.int64])

but I get

TypeError: data type not understood

>Solution :

Use thousands parameter.

df = pd.read_csv("file.csv",  parse_dates=['Date'], thousands=',')