From: brent.nash <brent.nash@jp...>  20090223 17:05:47

Thanks for the feedback. So strangely enough it seems to have something to do with my installation of matplotlib or some of the other background libraries. I took the exact same example that I sent it and ran it on Redhat Enterprise Linux 4 and it works just fine. My team develops on Mac OS X & Linux, but only deploys on Linux, so this isn't a huge problem, but it'd be nice to have it working everywhere? Is there any definitive set of instructions for getting matplotlib to build and install properly on Mac OS X 10.5? I had to install all of the following on my Mac: numpy scipy libpng freetype Fortran compiler (F95 I think) pkgconfig matplotlib nose Undoubtedly there's plenty of opportunity in there for me to mess something up. Thanks for all the feedback so far. ~Brent JaeJoon Lee wrote: > > What version of maploltib are you using? > Your data displayed with correct scale with my installation of > matplotlib 0.98.5.2. > By the way, you're chaning the axes limit of the wrong axes. > "matplotlib.pyplot.axes()" create a new axes. > > Use plt.xlim (or plt.ylim for ylimit), or use the method of the existing > axes. > > JJ > > > > > On Thu, Feb 19, 2009 at 8:22 PM, Nash, Brent R > <brent.r.nash@...> wrote: >> Hey everyone, >> >> I'm fairly new to matplotlib, but have read through tons of the >> documentation today and have a decent understanding of it. All the >> autoscaling, xlim, and x_bound stuff works fine for me with the >> examples, >> but as soon as I try to use it on my data, it's not working for me. I've >> attached a demo script, 2 input files of data, and a PNG showing the >> resulting chart I get. The numbers on my Yaxis range from 7656 to 59928 >> (a >> difference of 52272) and the numbers on my Xaxis range from >> 1.22896144017e+12 to 1.22896155012e+12 (a difference of 109950). >> >> The plot should look like a monotonically increasing line, but the >> resulting >> plot always comes out looking like a vertical line. I realize that the >> plot >> is actually correct, the problem is the default scaling on the ouptut. >> The >> easy way to justify this to yourself is to take the line "ert = float(i)" >> in >> the script and replace it with "ert = float(i)  1228960000000" to >> reduce >> the ert #'s to a manageable size and then everything plots very nicely. >> The >> data is all linear, not logarithmic or anything, so I don't think writing >> a >> custom scaler is the solution. >> >> I left commented out sections in my script of all the different methods >> I've >> tried to scale this thing. I've tried all permutations I could think of >> for >> the following functions: >> >> matplotlib.pyplot.axes().autoscale_view(...) >> matplotlib.pyplot.axes().set_xbound(...) >> matplotlib.pyplot.axes().set_xlim(...) >> matplotlib.pyplot.axes().set_aspect(...) >> matplotlib.pyplot.axis(...) >> matplotlib.pyplot.axes().set_xscale(...) >> >> Can anyone catch what I'm doing wrong here? I'm hoping it's just >> something >> obvious due to my unfamiliarity with the tool. >> >> Is there any way to write my own custom autoscale algorithm? >> >> Thanks very much for your time/help! >> >> ~Brent >> >> PS ~ Here's my OS info: >> >> MacBook Pro Laptop >> Mac O X 10.5.6 >> 2.6 GHz Intel Core 2 Duo >> 4GB 667 MHz DDR2 SDRAM >>  >> Open Source Business Conference (OSBC), March 2425, 2009, San Francisco, >> CA >> OSBC tackles the biggest issue in open source: Open Sourcing the >> Enterprise >> Strategies to boost innovation and cut costs with open source >> participation >> Receive a $600 discount off the registration fee with the source code: >> SFAD >> http://p.sf.net/sfu/XcvMzF8H >> _______________________________________________ >> Matplotlibusers mailing list >> Matplotlibusers@... >> https://lists.sourceforge.net/lists/listinfo/matplotlibusers >> >> > >  > Open Source Business Conference (OSBC), March 2425, 2009, San Francisco, > CA > OSBC tackles the biggest issue in open source: Open Sourcing the > Enterprise > Strategies to boost innovation and cut costs with open source > participation > Receive a $600 discount off the registration fee with the source code: > SFAD > http://p.sf.net/sfu/XcvMzF8H > _______________________________________________ > Matplotlibusers mailing list > Matplotlibusers@... > https://lists.sourceforge.net/lists/listinfo/matplotlibusers > >  View this message in context: http://www.nabble.com/matplotlibissue%3AcannotautoscaleXaxisofplopproperlytp22154005p22165604.html Sent from the matplotlib  users mailing list archive at Nabble.com. 