bling-bling. I know it is eye candy and in questionable taste, but I think it fits my non-technical audience in this case. I think this is enough to get me going. Thanks John.
Ryan On 9/20/07, John Hunter <[EMAIL PROTECTED]> wrote: > On 9/20/07, Ryan Krauss <[EMAIL PROTECTED]> wrote: > > I would need to create a timeline for a Latex document (eps output). > > There may be other tools besides Matplotlib and I am open to > > suggestions. But I were going to use mpl, what would it take to do > > something along these lines: > > http://www.timelinemaker.com/product-samplecharts-constructiontimeline.html > > > > Basically, I would need a nicely formatted dates along the x-axis and > > then lightly colored rectangles with text in them. The width would > > show when I anticipate some part of the project starting and ending. > > The y coordinate of the rectangle would used to allow project portions > > to overlap. It would be nice but not essential if the rectangles had > > a little fade in and out in their back ground color instead of a solid > > color, but that is not essential. > > > > Is there a clean way to do this with mpl? > > See examples/broken_barh.py (this also allows breaks in the horizontal > bars, eg if an event is interrupted and then resumes). I haven't > added gradient fills on bars because I don't think they convey little > if any information but just add to the glitz factor (an example of > "chart junk" to use Tufte's phrase) but at some point we should bow to > popular pressure and add it. Actually, you can hack gradient filled > bars and axes backgrounds -- be careful, viewing the figure below may > induce seizures. > > from pylab import figure, show, nx, cm > > def gbar(ax, x, y, width=0.5, bottom=0): > X = [[.6, .6],[.7,.7]] > for left,top in zip(x, y): > right = left+width > ax.imshow(X, interpolation='bicubic', cmap=cm.Blues, > extent=(left, right, bottom, top), alpha=1) > > fig = figure() > > xmin, xmax = xlim = 0,10 > ymin, ymax = ylim = 0,1 > ax = fig.add_subplot(111, xlim=xlim, ylim=ylim, > autoscale_on=False) > X = [[.6, .6],[.7,.7]] > > ax.imshow(X, interpolation='bicubic', cmap=cm.copper, > extent=(xmin, xmax, ymin, ymax), alpha=1) > > N = 10 > x = nx.arange(N)+0.25 > y = nx.mlab.rand(N) > gbar(ax, x, y, width=0.7) > ax.set_aspect('normal') > show() > > ------------------------------------------------------------------------- > This SF.net email is sponsored by: Microsoft > Defy all challenges. Microsoft(R) Visual Studio 2005. > http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2005. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
