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Python Tkinter dependent drop down

i trying to do the following:
i have two lists, matching each other. i want to create a dropdown list with tkinter with one list, and return the match from the other list. the values in the lists match injectivly one to each other.
i want the second list match to be a label or entry without choosing it like with two dependent drop down list. i've tried the following, but it only return OD.
thanks from advance
Avraham
import tkinter
from tkinter import ttk
root = tkinter.Tk()
options = tkinter.StringVar(root)
pipe_size = [
'1/8', '1/4', '3/8', '1/2', '3/4', '1', '1 1/4', '1 1/2', '2', '2 1/2', '3', '3',
'1/2', '4', '5', '6', '8', '10', '12', '14', '16', '18', '20', '22', '24', '26', '28', '30',
'32', '34', '36', '38', '40', '42', '44', '46', '48', '52', '56', '60'
]
OD_mm = [
'10.3', '13.7', '17.1', '21.3', '26.7', '33.4', '42.2', '48.3', '60.3', '73', '88.9',
'101.6', '114.3', '141.3', '168.3', '219.1', '273.1', '323.9', '355.6', '406.4', '457.2',
'508',
'559', '610', '660', '711', '762', '813', '884', '914', '965', '1016', '1067', '1118', '1168',
'1219', '1321'
]
str_out=tkinter.StringVar(root)
str_out.set("OD")
def callback(eventObject):
abc = eventObject.widget.get()
car = pipe_size_list.get()
index=pipe_size.index(car)
str_out.config(values=OD_mm[index])
str_out.set(OD_mm_str.get())
pipe_size_list = ttk.Combobox(root, width=37, value=(pipe_size))
pipe_size_list.grid(row=3, column=1, columnspan=2, padx=10, pady=2, sticky='w')
OD_mm_str = tkinter.Label(root, textvariable = str_out)
OD_mm_str.grid(row = 5, column = 1)
OD_mm_str.bind('<<ComboboxSelected>>', callback)
root.mainloop()

Why am I getting error after looping into file and trying to join the list

I have large text file which has numbers. I want to loop through the file and append the numbers to the list_of_numbers. Problem is that the loop appends to the list but not in the way I want, that's why the list looks like this after iteration
['\n', '+', '1', '6', '1', '0', '8', '5', '0', '7', '7', '6', '4', '\n', '+', '1', '6', '1', '0', '7', '6', '4', '6', '0', '2', '9', '\n', '+', '1', '6', '1', '0', '7', '6', '4', '6', '8', '4', '6', '\n', '+', '1', '6', '1', '0', '8', '5', '0', '5', '9', '3', '4', '\n', '+', '1', '6', '1', '0', '7', '6', '4', '0', '7', '8', '3', '\n', '+', '1', '6', '1', '0', '7', '6', '4', '9', '2', '8', '2', '\n', '+', '1', '6', '1', '0', '7', '6', '4', '0', '0', '4', '9', '\n']
this is just part of the output. I want this to be in this type [123455334,492023232,32322323]
I tried to do this but it does not work and gets errors
print(list([int(x) for x in ''.join(list_of_numbers).split('\n')]))
here is my full code
from tkinter import *
from tkinter import filedialog
import selenium
import time
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
from selenium import webdriver
from selenium import webdriver
list_of_numbers=[]
full_list_of_numbers=[]
def openFile():
tf = filedialog.askopenfilename(
initialdir="C:/Users/MainFrame/Desktop/",
title="Open Text file",
filetypes=(("Text Files", "*.txt"),)
)
pathh.insert(END, tf)
tf = open(tf) # or tf = open(tf, 'r')
data = tf.read()
txtarea.insert(END, data)
tf.close()
for i in data:
list_of_numbers.append(i)
print(list_of_numbers)
ws = Tk()
ws.title("PythonGuides")
ws.geometry("400x450")
ws['bg']='#fb0'
txtarea = Text(ws, width=40, height=20)
txtarea.pack(pady=20)
pathh = Entry(ws)
pathh.pack(side=LEFT, expand=True, fill=X, padx=20)
Button(
ws,
text="Open File",
command=openFile
).pack(side=RIGHT, expand=True, fill=X, padx=20)
ws.mainloop()
print(list_of_numbers)
while ' ' in list_of_numbers:
list_of_numbers.remove(' ')
print(list([int(x) for x in ''.join(list_of_numbers).split('\n')]))

Look at that part
tf = open(tf) # or tf = open(tf, 'r')
data = tf.read()
txtarea.insert(END, data)
tf.close()
for i in data:
list_of_numbers.append(i)
data is one big string. Then you iterate over it one char at a time and append that single char (incl, '+' and '\n' to the list. So you get what you get.
Replace the above snippet with following:
with open(tf) as f: # use context manager
for line in f:
txtarea.insert(END, line)
list_of_numbers.append(int(line))
Note, this assumes there are no empty lines in your file. If there are, then
with open(tf) as f: # use context manager
for line in f:
txtarea.insert(END, line)
line = line.strip()
if line:
list_of_numbers.append(int(line))

Python script to extract specific data with Xpath

I would like to extract all data of the row named "Nb B" at this url page : https://www.coteur.com/cotes-foot.php
Here is my python script :
#!/usr/bin/python3
# -*- coding: utf­-8 ­-*-
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
options = Options()
options.headless = True
driver = webdriver.Chrome(options=options)
driver.get('https://www.coteur.com/cotes-foot.php')
#Store url associated with the soccer games
url_links = []
for i in driver.find_elements_by_xpath('//a[contains(#href, "match/cotes-")]'):
url_links.append(i.get_attribute('href'))
print(len(url_links), '\n')
nb_bookies = []
for i in driver.find_elements_by_xpath('//td[contains(#class, " odds")][contains(#style, "")]'):
nb_bookies.append(i.text)
print(nb_bookies)
And here is the output :
25
['1.80', '3.55', '4.70', '95%', '', '1.40', '4.60', '8.00', '94.33%', '', '2.35', '3.42', '2.63', '90.18%', '', '3.20', '3.60', '2.05', '92.19%', '', '7.00', '4.80', '1.35', '90.81%', '', '5.30', '4.30', '1.70', '99.05%', '', '2.15', '3.55', '3.65', '97.92%', '', '2.90', '3.20', '2.20', '88.81%', '', '3.95', '3.40', '2.10', '97.65%', '', '2.00', '3.80', '3.90', '98.04%', '', '2.40', '3.05', '3.50', '96.98%', '', '3.70', '3.20', '2.00', '91.72%', '', '2.75', '2.52', '3.05', '91.17%', '', '4.20', '3.05', '1.69', '84.23%', '', '1.22', '5.10', '10.00', '88.42%', '', '1.54', '4.60', '5.10', '93.72%', '', '3.00', '3.10', '2.45', '93.59%', '', '2.40', '3.50', '2.55', '90.55%', '', '1.76', '3.50', '4.20', '90.8%', '', '11.50', '5.30', '1.36', '98.91%', '', '3.00', '3.50', '2.20', '92.64%', '', '1.72', '3.42', '5.00', '92.62%', '', '1.08', '9.25', '19.00', '91.33%', '', '9.75', '5.75', '1.36', '98.82%', '', '5.70', '4.50', '1.63', '98.88%', '']
All the data of the table is extracted and you can see '' for the last row whereas I just want the last row.

To get the data from the last column only, fix your XPath accordingly :
nb_bookies = []
for i in driver.find_elements_by_xpath('//tr[#id and #role="row" ]/td[last()]'):
nb_bookies.append(i.text)
Output :
['12', '12', '1', '9', '11', '12', '12', '12', '12', '12', '11', '2', '11', '11', '9', '12', '11', '12', '12', '12', '12', '12', '10', '5', '12']

Your code is perfectly fine, the problem is to do with the window size that is spawned by the Automator in a headless mode. The default window size and display size in headless mode is 800x600 on all platforms.
The developers of the site have set the header to only appear if the width of the window is >1030px and only then the display: none; is removed from DOM. You can test this for yourself by shrinking & expanding the window size.
You need to understand that if an element's attribute contains style="display: none;" which means the element is hidden then Selenium won't be able to interact with the element, i.e. if a user can't see it then the same behavior applies to selenium.
Simply adding this line to enlarge your window in a headless mode will solve your problem.
options.add_argument("window-size=1400,800")

Trouble getting numbers off of a webpage using re and beautifulsoup

i'm doing an assignement where i have to look throught a webpage, and pull out the numbers and compute the sum, however i'm having trouble getting the numbers and i believe my re isn't doing the job, here's the code.
from urllib.request import urlopen
from bs4 import BeautifulSoup
import ssl
import re
# Ignore SSL certificate errors
ctx = ssl.create_default_context()
ctx.check_hostname = False
ctx.verify_mode = ssl.CERT_NONE
url = 'http://py4e-data.dr-chuck.net/comments_687617.html'
html = urlopen(url, context=ctx).read()
soup = BeautifulSoup(html, "html.parser")
tags = (soup.find_all('tr'))
numbers = re.findall('[0-9]+', tags)
print (numbers)
e: #changed 'tags'to tags but the problem persists.

Use the variable tags, not the string 'tags':
Your line
numbers = re.findall('[0-9]+', 'tags')
should be
numbers = re.findall('[0-9]+', tags)

re.findall() expects a string as second argument. You are passing 'tags' which will be passed as a string not a variable because of the quotes. And, this string doesn't has any numbers in it. So, the output is an empty list.
To get the right output, you can concatenate all the tags in one string and pass it to the function. Here's one approach:
...
tags = (soup.find_all('tr'))
# Concatenate all tags to one string
string = ""
for tag in tags:
string += str(tag)
numbers = re.findall('[0-9]+', string)
print(numbers)
Output:
['97', '96', '94', '91', '90', '86', '84', '81', '81', '77', '76', '75', '75', '74', '72', '70', '70', '70', '66', '64', '64', '63', '56', '52', '52', '47', '47', '44', '43', '40', '40', '40', '40', '37', '36', '35', '33', '31', '30', '28', '22', '21', '21', '11', '11', '10', '7', '6', '2', '1']
Edit
A simpler way without using regular expression:
tags = soup.find_all('span', class_="comments")
numbers = [tag.get_text() for tag in tags]
print(numbers)

Iteration & Casting index values to integer and float in nested lists

I'm having difficulty with iterating through the nested list table below. I understand how to iterate through the table once, but to go a level deeper and iterate through each nested list, I am stuck on the correct syntax to use. In iterating through the sublists, I am trying to cast each 'age' and 'years experience' to an integer, perform the operation 'age' - 'years experience', and append the value (as a string) to each sublist.
table = [
['first_name', 'last_name', 'age', 'years experience', 'salary'],
['James', 'Butt', '29', '8', '887174.4'],
['Josephine', 'Darakjy', '59', '39', '1051267.9'],
['Art', 'Venere', '22', '2', '47104.2'],
['Lenna', 'Paprocki', '33', '7', '343240.2'],
['Donette', 'Foller', '26', '2', '273541.4'],
['Simona', 'Morasca', '35', '15', '960967.0'],
['Mitsue', 'Tollner', '51', '31', '162776.7'],
['Leota', 'Dilliard', '64', '39', '464595.5'],
['Sage', 'Wieser', '27', '9', '819519.7'],
['Kris', 'Marrier', '59', '33', '327505.55000000005'],
['Minna', 'Amigon', '45', '23', '571227.05'],
['Abel', 'Maclead', '46', '23', '247927.25'],
['Kiley', 'Caldarera', '33', '7', '179182.8'],
['Graciela', 'Ruta', '48', '21', '136978.95'],
['Cammy', 'Albares', '29', '9', '1016378.95'],
['Mattie', 'Poquette', '39', '15', '86458.75'],
['Meaghan', 'Garufi', '21', '3', '260256.5'],
['Gladys', 'Rim', '52', '26', '827390.5'],
['Yuki', 'Whobrey', '32', '10', '652737.0'],
['Fletcher', 'Flosi', '59', '37', '954975.15']]
##Exercise 3 (rows as lists): Iterate over each row and append the following values:
#If it is the first row then extend it with the following ['Started Working', 'Salary / Experience']
#Start work age (age - years experience)
#Salary / Experience ratio = (salary / divided by experience)
for i, v in enumerate(table):
extension = ['Started Working', 'Salary/Experience']
if i == 0:
v.extend(extension)
print(i,v) #test to print out the index and nested list values
#for index, value in enumerate(v):
# age =
#exp =
#start_work = age - exp
#print(index, value) test to print out the index and each value in the nested list

Pass the argument start to enumerate, enumerate(table, 1) in your case,
table = [['first_name', 'last_name', 'age', 'years experience', 'salary'],
['James', 'Butt', '29', '8', '887174.4'],
['Josephine', 'Darakjy', '59', '39', '1051267.9'],
['Art', 'Venere', '22', '2', '47104.2']]
table[0].extend(['Started Working', 'Salary/Experience'])
for idx, row in enumerate(table[1:], 1):
start_work_age = int(row[2]) - int(row[3])
ratio = float(row[4]) / int(row[3])
table[idx].extend([str(start_work_age), str(ratio)])
print(table)
# Output
[['first_name', 'last_name', 'age', 'years experience', 'salary', 'Started Working', 'Salary/Experience'],
['James', 'Butt', '29', '8', '887174.4', '21', '110896.8'],
['Josephine', 'Darakjy', '59', '39', '1051267.9', '20', '26955.5871795'],
['Art', 'Venere', '22', '2', '47104.2', '20', '23552.1']]

If you can convert the space to an underscore in years experience you can use collections.namedtuple to make your life simpler:
from collections import namedtuple
table = [
['first_name', 'last_name', 'age', 'years_experience', 'salary'],
['James', 'Butt', '29', '8', '887174.4'],
['Josephine', 'Darakjy', '59', '39', '1051267.9'],
['Art', 'Venere', '22', '2', '47104.2'],
# ...
]
workerv1 = namedtuple('workerv1', ','.join(table[0]))
for i,v in enumerate(table):
worker = workerv1(*v)
if i == 0:
swage = 'Started Working'
sex_ratio = 'S/Ex ratio'
else:
swage = int(worker.age) - int(worker.years_experience)
sex_ratio = float(worker.salary) / float(worker.years_experience)
print("{w.first_name},{w.last_name},{w.age},{w.years_experience},{w.salary},{0},{1}".format(
swage, sex_ratio, w=worker))