title: Pandas: how to append many rows to dataframe
body: <p>I'm trying to grab some historical data from binance (exchange, API) and I'm using their modules. I can get the data but whenever is use the code below it creates 0's and new lines for the 'close' and 'volume':</p>
  
  <pre><code>ticker = 'NANOETH'
  interv = "1d"
  period = "1M"
  rest_client.klines(ticker, period)
  klines = rest_client.klines(symbol=ticker, interval=interv)
  df=[]
  
  for kline in klines:
      df=[kline.open_time, kline.open, kline.high,kline.low, kline.close, kline.volume]
      df = pd.DataFrame([df], columns = ["Open Time","Close Time","Open","High","Low","Close", "Volume"])
  
  
  
      print (df)
  </code></pre>
  
  <p>The output is:</p>
  
  <pre><code>       Open Time     Close Time        Open        High         Low  \
  0  1517529600000  1517615999999  0.02010000  0.02998700  0.01764600   
  
          Close           Volume  
  0  0.01841200  448361.60000000  
         Open Time     Close Time        Open        High         Low  \
  0  1517616000000  1517702399999  0.01848800  0.01890000  0.01600300   
  
          Close           Volume  
  0  0.01700900  410642.17000000  
         Open Time     Close Time        Open        High         Low  \
  0  1517529600000  1517615999999  0.02010000  0.02998700  0.01764600   
  
          Close           Volume  
  0  0.01841200  448361.60000000  
  </code></pre>
  
  <p>I would like it to look like:</p>
  
  <pre><code>    Open Time     Close Time        Open        High         Low     Close           Volume   
  1517529600000  1517615999999  0.02010000  0.02998700  0.01764600  0.01841200  448361.60000000
  1517616000000  1517702399999  0.01848800  0.01890000  0.01600300  0.01700900  410642.17000000  
  1517529600000  1517615999999  0.02010000  0.02998700  0.01764600  0.01841200  448361.60000000  
  </code></pre>
  
  <p>And would also like to index the first date and covert it to an actual datetime.</p>
  
  <p>Many Thanks</p>