code: def convertTimestamps(column):
      
      tempColumn = column
  
      try:
          # Try to convert the first row and a random row instead of the complete
          # column, might be faster
          # tempValue = np.datetime64(column[0])
          tempValue = np.datetime64(column[randint(0, len(column.index) - 1)])
          tempColumn = column.apply(to_datetime)
      except Exception:
          pass
      return tempColumn
docs: Convert a dtype of a given column to a datetime.
  
      This method tries to do this by brute force.
  
      Args:
          column (pandas.Series): A Series object with all rows.
  
      Returns:
          column: Converted to datetime if no errors occured, else the
              original column will be returned.