I am really just getting to mess with this now and ran into an issue. I want to turn off the y axis and 3 sides of the border around the plot area, so that I left with just the bottom x-axis and its tick marks. Turning off the y axis is easy enough, but the only way I found to get rid of the border is with
ax.set_frame_on(False) which also gets rid of my bottom x axis and leaves tick marks along the top (see attached). How do I get rid of the top tick marks, keep the bottom ones, and get the bottom x-axis back? Thanks, Ryan On 9/20/07, Ryan Krauss <[EMAIL PROTECTED]> wrote: > 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 > > >
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