title: Extracting date time from a mixed letter and numeric column pandas
body: <p>I have a column in pandas dataframe that contains two types of information = 1. date and time, 2=company name. I have to split the column into two (date_time, full_company_name). Firstly I tried to split the columns based on character count (first 19 one column, the rest to other column) but then I realized that sometimes the date is missing so the split might not work. Then I tried using regex but I cant seem to extract it correctly.</p>
  <p>The column:</p>
  <p><a href="https://i.stack.imgur.com/0YkXw.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/0YkXw.png" alt="enter image description here" /></a></p>
  <p>the desired output:</p>
  <p><a href="https://i.stack.imgur.com/xXveo.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/xXveo.png" alt="enter image description here" /></a></p>