title: Python Financial OHLC with Data_Time data conversion: List Array to Pandas and appending column name for each
body: <p>I have this raw data retreive from some source as list array enclosed by ()</p>
  
  <pre><code>[('2018-10-13T21:00:00.000000000', 71.457, 72.675, 68.45 , 69.252, 71.51 , 72.725, 68.505, 69.31 , 507708)
   ('2018-10-20T21:00:00.000000000', 69.252, 69.806, 65.72 , 67.685, 69.31 , 69.855, 65.77 , 67.74 , 389174)
   ('2018-10-27T21:00:00.000000000', 67.685, 67.924, 62.61 , 62.855, 67.74 , 67.975, 62.665, 62.905, 454709)
   ('2018-11-03T21:00:00.000000000', 62.855, 64.115, 59.244, 59.815, 62.905, 64.165, 59.295, 59.87 , 858696)
   ('2018-11-10T22:00:00.000000000', 59.815, 61.262, 54.732, 56.125, 59.87 , 61.315, 54.787, 56.175, 440074)]
  </code></pre>
  
  <p>I want to make this as pandas data frame  and add column name ,using the for loop this is achieved with desired output ,however how to do this without for loop directly using pandas built in resources and how to store this is in pandas object.</p>
  
  <pre><code>for row in history:
      print("{0:s}, {1:,.5f}, {2:,.5f}, {3:,.5f}, {4:,.5f}, {5:d}".format(
      pd.to_datetime(str(row['Date'])).strftime(date_format), row['BidOpen'], row['BidHigh'],row['BidLow'], row['BidClose'], row['Volume']))
  </code></pre>
  
  <p>output : Here T in between the Date and Time removed and float ,decimal also take care .If not other solution how this can be stored in pandas object.</p>
  
  <pre><code>Date, BidOpen, BidHigh, BidLow, BidClose, Volume
  13.10.2018 21:00:00, 71.45700, 72.67500, 68.45000, 69.25200, 507708
  20.10.2018 21:00:00, 69.25200, 69.80600, 65.72000, 67.68500, 389174
  27.10.2018 21:00:00, 67.68500, 67.92400, 62.61000, 62.85500, 454709
  03.11.2018 21:00:00, 62.85500, 64.11500, 59.24400, 59.81500, 858696
  10.11.2018 22:00:00, 59.81500, 61.26200, 54.73200, 56.12500, 440074
  </code></pre>