On Wed, May 21, 2014 at 12:38 PM, alex <argri...@ncsu.edu> wrote: > > years = [2004,2005,2006,2007] > > > > dates = [20040501,20050601,20060801,20071001] > > > > for x in years: > > > > print 'year ',x > > > > xy = np.array([x*1.0e-4 for x in dates]).astype(np.int) > > > > print 'year ',x >
did you mean that to be "print 'year' xy" I then get: year 2004 year [2004 2005 2006 2007] year 2005 year [2004 2005 2006 2007] year 2006 year [2004 2005 2006 2007] year 2007 year [2004 2005 2006 2007] or di you really want something like: In [35]: %paste years = [2004,2005,2006,2007] dates = [20040501,20050601,20060801,20071001] for x, d in zip(years, dates): print 'year ', x print 'date', d print int (d*1.0e-4) print 'just date:', d - x*1e4 ## -- End pasted text -- year 2004 date 20040501 2004 just date: 501.0 year 2005 date 20050601 2005 just date: 601.0 year 2006 date 20060801 2006 just date: 801.0 year 2007 date 20071001 2007 just date: 1001.0 but using floating point for this is risky anyway, why not: In [47]: d Out[47]: 20071001 In [48]: d // 10000 Out[48]: 2007 i.e integer division. -Chris > > == > > > > > It seems like a misunderstanding of Python scoping, or just an > oversight in your code, or I'm not understanding your question. Would > you expect the following code to print the same value twice in each > iteration? > > for x in (1, 2, 3): > print x > dummy = [x*x for x in (4, 5, 6)] > print x > print > > > > Or is this a recipe to blow up a power plant? > > Now we're on the lists... > > > Cheers! > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov
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