title: Timing calculation from int variables in Python Pandas
body: <p>I have date data in int format with following this insturction:
  <a href="https://stackoverflow.com/questions/59005643/change-date-format-to-int-in-python-pandas">Change date format to int in Python Pandas</a></p>
  
  <p>Let's assume that that there are 2 different columns : 'Timestamp_start' and 'Timestamp_End'.
  As the timestamp value is converted in int, how can calculate the time differences between two timestamps in 'minutes' unit?</p>
  
  <p>For example, if the value is formatted in yyyymmddhhss, Timestamp_start is 201911030903 and Timestamp_End is 201911031006. The result might be '63' minutes.</p>
  
  <p>As there are complicated datetime conversions in <strong>Python Pandas</strong>, I am lost how to calculate the time differences in minutes. The result will be int as well.</p>