Why are player numbers not in a different column? - python-3.x

Question

I have created a script that collects the information on a website and puts it on a script. I'm on my process to become acquainted with python scraping and I would like some help as I would like to player numbers to be on a different column
# import libraries
import pandas as pd
import requests
from bs4 import BeautifulSoup
import xlsxwriter
import xlwt
from xlwt import Workbook
# Workbook is created
wb = Workbook()
# add_sheet is used to create sheet.
sheet1 = wb.add_sheet('Sheet 1')
#send request
#url = 'http://fcf.cat/acta/1920/futbol-11/infantil-primera-divisio/grup-11/1i/sant-ildefons-ue-b/1i/lhospitalet-centre-esports-c'
url = 'https://www.fcf.cat/acta/2422183'
page = requests.get(url,timeout=5, verify=False)
soup = BeautifulSoup(page.text,'html.parser')
#read acta
#acta_text = []
#acta_text_element = soup.find_all(class_='acta-table')
#for item in acta_text_element:
# acta_text.append(item.text)
i = 0
acta = []
for tr in soup.find_all('tr'):
values = [td.text.strip() for td in tr.find_all('td') ]
print(values)
acta.append(values)
i = 1 + i
sheet1.write(i,0,values)
wb.save('xlwt example.xls')
print(acta)
Thanks,

Answer 1

Two things to consider:
You can separate the first element in the list by using values[0] then use values[1:] for the remaining items
Use isnumeric to check if a string value is a number
Try this code:
for tr in soup.find_all('tr'):
values = [td.text.strip() for td in tr.find_all('td') ]
print(values)
acta.append(values)
i = 1 + i
if len(values) and values[0].isnumeric(): # if first element is number
sheet1.write(i,0,values[0]) # number in column 1
sheet1.write(i,1,values[1:]) # rest of list in column 2
else:
sheet1.write(i,0,values) # all values in column 1
Excel output (truncated)

Answer 2

To take the team on the left, for example, try this:
tables = soup.select('table')
players = []
columns = ["Player","Shirt"]
titulars = [item for item in tables[1].text.strip().split('\n') if len(item)>0]
#tables[1] is where the data for the first team is; the other team is in tables[8]
for num, name in zip(titulars[2::2],titulars[1::2]):
player = []
player.extend((num,name))
players.append(player)
pd.DataFrame(players,columns=columns)
Output:
Player Shirt
0 TORNER ENCINAS, GONZALO 1
1 MACHUCA LOVERA, OSMAR SILVESTRE 3
2 JARA MARTIN, BLAI 4
3 AGUILAR LUQUE, DANIEL 5
4 FONT MURILLO, JOAQUIN 6
5 MARTÍNEZ ELVIR, RICHARD ADRIAN 7
6 MARQUEZ RODRIGUEZ, GERARD 8
7 PATUEL BATLLE, GERARD 10
8 EL MAHI ZAROUALI, BILAL 11
9 JAUME MORERA, ADRIA 14
10 DEL VALLE ESCANCIANO, MARTI 15