title: Python/Pandas - Adding a hourly column with floats (ex 3.30) to time column (ex 7:00am)
body: <p>I have a dataset with two columns that I want to combine, one has floats which represent hours/mins, and the other has a start time such as 7:00am.  I also pulled the data from regular expressions, so the hours column has a tab space indicator such as \t:</p>
  
  <pre><code>Hours - Start Time
  \t3.30    7:00am
  \t1.0     7:00am
  \t2.30    7:30am
  </code></pre>
  
  <p>I am attempting to make a third column where the floats are added in hour/min format to create new times:</p>
  
  <pre><code>Desired Output:
  
  Hours - Start Time - New Time
  \t3.30     7:00am     10:30am    
  \t1.0      7:00am      8:00am
  \t2.30     7:30am     10:00am
  </code></pre>
  
  <p>How would I go about doing this?  I tried a few methods such as converting the Hours column to Hours/Mins with DateTime, and Time Delta, but am running into issues, I recongize it could be due to the tabular spaces (\t).  Upon trying to remove those with re, I also got stuck.  Appreciate any who can assist.</p>