code: def get_detailed_transactions(self, include_investment=False,
                                    skip_duplicates=False,
                                    remove_pending=True,
                                    start_date=None):
          
          assert_pd()
  
          result = self.get_transactions_json(include_investment,
                                              skip_duplicates, start_date)
          df = pd.DataFrame(result)
          df['odate'] = df['odate'].apply(json_date_to_datetime)
  
          if remove_pending:
              df = df[~df.isPending]
              df.reset_index(drop=True, inplace=True)
  
          df.amount = df.apply(reverse_credit_amount, axis=1)
  
          return df
docs: Returns the JSON transaction data as a DataFrame, and converts
          current year dates and prior year dates into consistent datetime
          format, and reverses credit activity.
  
          Note: start_date must be in format mm/dd/yy. If pulls take too long,
          use a more recent start date. See json explanations of
          include_investment and skip_duplicates.
  
          Also note: Mint includes pending transactions, however these sometimes
          change dates/amounts after the transactions post. They have been
          removed by default in this pull, but can be included by changing
          remove_pending to False