Taking Average of List of Integers - python-3.x

Question

I'm scraping a list of daily stock volume numbers, and I'm wanting to take an average of the first 20 results in the volume column of the page. My code looks like:
from bs4 import BeautifulSoup
import re, csv, random, time
import pandas as pd
import os
import requests
page = requests.get('https://finance.yahoo.com/quote/BDSI/history?period1=1517033117&period2=1548569117&interval=1d&filter=history&frequency=1d')
soup = BeautifulSoup(page.text, 'html.parser')
rows = soup.select('table[class="W(100%) M(0)"] tr')
for row in rows[1:20]:
col = row.find_all("td")
numbers = col[6].text.replace(',', '')
numbers2 = int(numbers)
print(numbers2)
avg20vol = sum(numbers2(1,20))/len(numbers2)
...but I'm getting stuck when trying to take the average of the returned numbers2. Receive either "TypeError: 'int' object is not callable" or "TypeError: 'int' object is not iterable" with the solutions I've tried. How do handle taking an average of a list? Does it involve turning it into a dataframe first? Thanks!
UPDATE
Here's a working example of the applicable code segment:
numberslist=[]
for row in rows[1:21]:
col = row.find_all("td")
numbers = col[6].text.replace(',', '')
numbers2 = int(numbers)
numberslist.append(numbers2)
print(numbers2)
average = sum(numberslist)/len(numberslist)
print('Average = ',average)

Answer 1

When scraping, actually create a list of numbers, like so:
# stuff before
number_list = [] # empty list
for row in rows[1:20]:
# get the number
number_list.append(int(number_as_string)) # add the new number at the end of the list
average = sum(number_list)/len(number_list)
You can also .append() the string forms and then transform to ints with list(map(int(list_of_strings)) or [int(x) for x in list_of_strings].
Note: rows[1:20] will leave out the first item, in your case, as you stated, the first row is header. Use rows[:20] to get the first 20 items in general.

Answer 2

You css selector is also wrong and gave me an error.
from bs4 import BeautifulSoup
import requests
page = requests.get('https://finance.yahoo.com/quote/BDSI/history?period1=1517033117&period2=1548569117&interval=1d&filter=history&frequency=1d')
soup = BeautifulSoup(page.text, 'html.parser')
rows = soup.find('table',class_="W(100%) M(0)").find_all('tr')
numbers=[]
for row in rows[1:20]:
col = row.find_all("td")
print(col[6].text)
number = col[6].text.replace(',', '')
number = int(number)
numbers.append(number)
avg20vol =sum(numbers)/len(numbers)
print("Average: ",avg20vol)
Output
650,100
370,500
374,700
500,700
452,500
1,401,800
2,071,200
1,005,800
441,500
757,000
901,200
563,400
1,457,000
637,100
692,700
725,000
709,000
1,155,500
496,400
Average: 808584.2105263158