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How can I attach volume to the output of these logs? Is there a pandas method to do this?

I have this algo that computes the top 5 gainers and losers by percentage over the course of a given day.
The final output is coming through from

top_gainers = todays_gain_since_yesterday_close.nlargest(5)  
top_losers = todays_gain_since_yesterday_close.nsmallest(5)  
log.info('top gainers \n{} top losers \n{}'.format(top_gainers, top_losers))  

and the output looks like

2020-05-19 08:40 handle_data:75 INFO top gainers  
Equity(25972 [DVAX])    37.796087  
Equity(2385 [DY])       20.426344  
Equity(11120 [EXP])      8.914729  
Equity(50735 [AYX])      7.648747  
Equity(45113 [DOC])      7.509271  
dtype: float64 top losers  
Equity(52864 [GOSS])   -14.993351  
Equity(46206 [CPG])    -14.803625  
Equity(52119 [TCDA])    -9.505703  
Equity(53083 [TPTX])    -8.554688  
Equity(50807 [CVNA])    -7.919286  

I know the output is a series, and the series consists of the equity and the calculated percentage. What I would like to know is how to attach volume to the output of these logs? Is there a pandas method to do this?

I want it to look like this, where the third item is the current volume of the respective equity

2020-05-19 08:40 handle_data:75 INFO top gainers  
Equity(25972 [DVAX])    37.796087    3000000  
Equity(2385 [DY])       20.426344    373467  
Equity(11120 [EXP])      8.914729   457345257  
Equity(50735 [AYX])      7.648747   3457345645  
Equity(45113 [DOC])      7.509271    5626232  
dtype: float64 top losers  
Equity(52864 [GOSS])   -14.993351    3456345  
Equity(46206 [CPG])    -14.803625    534563456  
Equity(52119 [TCDA])    -9.505703     4563456345  
Equity(53083 [TPTX])    -8.554688     456345634  
Equity(50807 [CVNA])    -7.919286      576744357  

Anyone have any suggestions?