Numbers stripped of '$' and ',' won't convert from str to int - python-3.x

Question

I'm pretty new to Python, but am interested in taking tables, scraping them, and then running calculations. I took an income table from Wikipedia, stripped the columns with numbers of the dollar signs and commas (e.g. $26,400 to 26400) and then tried to convert them to integers and setting conditions based on the values. While the amounts show up without '$' or ',' in the updated dataframe, I still get an amount with '$' and ',' whenever I reference an individual entry or the columns.
Here's the code — apologies if I should have separated the blocks out more — it's my first post:
import requests
import pandas as pd
from bs4 import BeautifulSoup
URL = "https://en.wikipedia.org/wiki/List_of_Maine_locations_by_per_capita_income"
page = requests.get(URL)
soup = BeautifulSoup(page.content, 'html.parser')
all_tables = soup.find_all('table', class_="wikitable")
A = []
B = []
C = []
D = []
E = []
F = []
G = []
for row in all_tables[0].findAll('tr'):
cells = row.findAll('td')
if len(cells) == 7:
A.append(cells[0].text.strip())
B.append(cells[1].text.strip())
C.append(cells[2].text.strip())
D.append(cells[3].text.strip())
E.append(cells[4].text.strip())
F.append(cells[5].text.strip())
G.append(cells[6].text.strip())
df = pd.DataFrame(A,columns=['Rank'])
df['County']=B
df['Per capita income']=C
df['Median household income']=D
df['Median family income']=E
df['Population']=F
df['Number of households']=G
df
The initial frame shows '$' and ','.
At this point, I stripped columns C through E of all '$' and ','s. Here's column C, as an example.
df['Per capita income'] = df['Per capita income'].str.replace(',', '')
df['Per capita income'] = df['Per capita income'].str.replace('$', '')
I then attempted to convert the values (sans commas and dollar signs) from "str" to "int".
df['Per capita income'] = df['Per capita income'].astype(int)
The dollar sign and comma are gone, as seen below.
While the change displays properly in the dataframe, any reference to any cell still yields a "str" with a dollar sign and comma.
Argh!
I'm assuming that I'm missing a step somewhere, because I've tried a few methods of converting "str" to "int."

Answer 1

This will work as per your doubts in comments.
import pandas as pd
from bs4 import BeautifulSoup
URL = "https://en.wikipedia.org/wiki/List_of_Maine_locations_by_per_capita_income"
page = requests.get(URL)
soup = BeautifulSoup(page.content, 'html.parser')
all_tables = soup.find_all('table', class_="wikitable")
A = []
B = []
C = []
D = []
E = []
F = []
G = []
for row in all_tables[0].findAll('tr'):
cells = row.findAll('td')
if len(cells) == 7:
A.append(cells[0].text.strip())
B.append(cells[1].text.strip())
C.append(int(cells[2].text.strip().replace('$', '').replace(',', '')))
D.append(cells[3].text.strip())
E.append(cells[4].text.strip())
F.append(cells[5].text.strip())
G.append(cells[6].text.strip())
df = pd.DataFrame(A,columns=['Rank'])
df['County']=B
df['Per capita income']=C
df['Median household income']=D
df['Median family income']=E
df['Population']=F
df['Number of households']=G
df