python – reading txt file into a data frame, excluding commas and pound

Here is a short sample of my txt file, county-covid-data.txt

#County,Confirmed Cases,Probable Cases,Deaths
Anderson,4595,1137,85
Andrews,1630,0,37
Angelina,4169,2688,208
Aransas,697,245,29
Archer,650,90,10
Armstrong,97,38,6
Atascosa,3267,930,96
Austin,1322,190,22
Bailey,561,200,16
Bandera,710,194,21
Bastrop,3536,1221,59
Baylor,111,172,11
Bee,2798,397,55
Bell,17752,0,238
Bexar,135648,26460,2181
Blanco,279,55,12
Borden,12,6,0
Bosque,836,189,22
Bowie,3653,1478,150

When reading the text file into my df:

import pandas
import pandas as pd
cov = pandas.read_table('county-covid-data.txt', delim_whitespace=True, names=('County','Confirmed Cases', 'Probable Case', 'Deaths'))

and i get this
enter image description here

How do I remove the commas and the pound sign before county while also separating each value into the corresponding column?
Ive never read a txt file before, and everything I’ve tried so far looks like this or a a block of text.