Python: Creating a table to CSV from multiple selenium.text lists

I am trying to take three selenium.text objects scraped from a website and I want to put them in a table format so that I have a array of 3 columns by 25 rows.

Example of desired end output:

Current code below:

# Installing selenium in Jupyter notebook
!pip install selenium

#checking my file path since we'll need to make sure our webdriver is in the same path
import os
import sys
os.path.dirname(sys.executable)

#Opens webbrowser chrome
from selenium import webdriver

#Manually directing the webdriver path and specifying the Chrome browser
browser = webdriver.Chrome('/Users/peterschoffelen/Documents/Copulus/chromedriver')
type(browser)

#Pulls up the webpage for the elections calendar
browser.get('https://www.ndi.org/elections-calendar')

#Clicking load more button

#tools needed
import time
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

#Finding the link
linkElem = browser.find_element_by_link_text('LOAD MORE')
type(linkElem)

#linkElem.click() #Clicks the load more button to make sure all available links are shown
while True:
    try:
        loadMoreButton = browser.find_element_by_link_text('LOAD MORE')
        time.sleep(2)
        linkElem.click()
        time.sleep(5)
    except Exception as e:
        print (e)
        break
print ("Complete")
time.sleep(10)

#creating an object for each of the elements I am interested in
election_date = browser.find_elements_by_css_selector('span.date-display-single')
election_country = browser.find_elements_by_css_selector('div.election-title')
election_type = browser.find_elements_by_css_selector('div.election-type')

#checking the type for the created objects and looking at the first element in each object
print(type(election_date))
print(type(election_date[0]))
print(election_date[0])

#Our above checking showed us that we need to specfically extract the text from the elements we scraped
print(election_date[0].text)
print(election_country[0].text)
print(election_type[0].text)

#With this number being greater then 10, we can be confident we have gotten all the elections available
print(len(election_date))

#Creating that list as an object

elections = []

for d, t, c in zip(election_date, election_type, election_country):
    date_text = d.text
    type_text = t.text
    country_text = c.text
    elections.append(country_text)
    elections.append(type_text)
    elections.append(date_text)

#Show us the whole table we have now created of three columns
print(elections)

#
print(elections[0:3])

import numpy as np

democracy = np.array(elections)

#Shows that I just have created a single column 75 row arrary which is not what I want :(
print(democracy.shape)

Thanks in advance for any help!