You could use the (admittedly inscrutable) "unzip" technique: ax.plot_date(*zip(*items))
See this blog post for explanation: http://paddy3118.blogspot.com/2007/02/unzip-un-needed-in-python.html If you use Numpy arrays, of course, you could use slicing, which, IMHO, is clearer: items = numpy.asarray(items) ax.plot_date(items[:,0], items[:,1]) Mike Thomas Guettler wrote: > Hi, > > I use the API of matplotlib and have a basic problem: > > Up to now I am used to gather my data into a list of tuples. But > matplotlib uses serveral lists instead. > > Example: > me: [(date1, count1), (date2, count2), ...] > matplotlib: ax.plot_date(dates, counts) > > Finally I use something like this quite often: > method([item[0] for item in items], [item[1] for item in items]) > But I think thats to much looping. > > That's my personal problem, but I think a more pythonic > API would be nice... > > Thomas > > -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA ------------------------------------------------------------------------- This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK & win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100&url=/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
