How do I access the formatted month headers in an aggregated time series? z1 is a zooreg time series that I want to aggregate by month:
ma = r.aggregate(z1, r['as.yearmon'], r.mean, **{'na.rm': True}) When I print the result vector, I get month/year information along with the mean values: >>> print ma Oct 2010 Nov 2010 Dec 2010 Jan 2011 Feb 2011 Mar 2011 Apr 2011 May 2011 47.77013 37.67899 24.00681 21.13515 23.55795 31.07691 44.50374 54.54929 Jun 2011 Jul 2011 Aug 2011 Sep 2011 64.70333 71.83513 66.28675 61.23810 The following prints the values, but not the month headers: >>> for i in ma: ... print(i) ... 47.7701307894 37.6789938802 24.006809277 21.1351547062 23.5579549446 31.0769134429 44.5037406619 54.5492913771 64.703330373 71.8351280835 66.2867477876 61.2380968468 How do I access/capture the month headers? Bill ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2d-oct _______________________________________________ rpy-list mailing list rpy-list@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/rpy-list