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Tim, On 1/19/07, tim...@gm... <tim...@gm...> wrote= : > how can I read data in that > x gets the latitude > y gets the longgitute > z gets the data which will be shown in different color accoring to their = values? Use pylab.load to load the data into an array. Then, the rest of what you want to accomplish is detailed in the wiki: <http://www.scipy.org/Cookbook/Matplotlib/Maps>. Hope that helps! Jos=E9
if you're building an app i would suggest using the OO interface. There are good examples in the examples directory. But basically you get a figure either by constructing it or using pylab.gcf and you can add_axes to the figure and plot on them. It is much more scalable for an app than the pylab interface. as for your original question, i'm afraid i've never seen the behavior before and don't have a good answer. --Tom On 1/19/07, Jonathon Anderson <and...@gm...> wrote: > It's definitely not the behavior I'm seeing here. In my matploblibrc file, > hold is set to True. Is there another value that might be influencing this? > > In any case, I don't want the behavior to be dependent on a config file: I'm > building an application. Do you know how I might specify this behavior at > run-time? > > ~jonathon > > > On 1/19/07, Tom Denniston > <tom...@al...> wrote: > > It might depend on what's in your matplotlib rc file but by default > > the behavior I have always seen was each plot command adds to the > > current figure (pylab.gcf()) until you do a pylab.clf(). > > > > So the two commands lists you have below end up being functionally > equivalent. > > > > --Tom > > > > On 1/19/07, Jonathon Anderson < and...@gm...> wrote: > > > I have several lines of data that I want to plot on the same graph, but > > > every time I run the pylab.plot() function it redraws the graph from > > > nothing. I've tried pylab.plot(*, hold=True) and pylab.hold(True), but > it > > > still happens. Can I add data to an existing figure, or do I have to > pass > > > all the data at once? > > > > > > e.g., Do I have to do this: > > > > > > pylab.plot(x1, y1, x2, y2, x3, y3, ...) > > > > > > or can I do this: > > > > > > pylab.plot(x1, y1) > > > pylab.plot(x2, y2) > > > pylab.plot(x3, y3) > > > ... > > > > > > ~jonathon anderson > > > > > > > ------------------------------------------------------------------------- > > > Take Surveys. Earn Cash. Influence the Future of IT > > > Join SourceForge.net's Techsay panel and you'll get the chance to share > your > > > opinions on IT & business topics through brief surveys - and earn cash > > > > http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV > > > > > > _______________________________________________ > > > Matplotlib-users mailing list > > > Mat...@li... > > > > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > > > > > > > > > > > ------------------------------------------------------------------------- > Take Surveys. Earn Cash. Influence the Future of IT > Join SourceForge.net's Techsay panel and you'll get the chance to share your > opinions on IT & business topics through brief surveys - and earn cash > http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV > > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > >
It's definitely not the behavior I'm seeing here. In my matploblibrc file, hold is set to True. Is there another value that might be influencing this? In any case, I don't want the behavior to be dependent on a config file: I'm building an application. Do you know how I might specify this behavior at run-time? ~jonathon On 1/19/07, Tom Denniston <tom...@al...> wrote: > > It might depend on what's in your matplotlib rc file but by default > the behavior I have always seen was each plot command adds to the > current figure (pylab.gcf()) until you do a pylab.clf(). > > So the two commands lists you have below end up being functionally > equivalent. > > --Tom > > On 1/19/07, Jonathon Anderson <and...@gm...> wrote: > > I have several lines of data that I want to plot on the same graph, but > > every time I run the pylab.plot() function it redraws the graph from > > nothing. I've tried pylab.plot(*, hold=True) and pylab.hold(True), but > it > > still happens. Can I add data to an existing figure, or do I have to > pass > > all the data at once? > > > > e.g., Do I have to do this: > > > > pylab.plot(x1, y1, x2, y2, x3, y3, ...) > > > > or can I do this: > > > > pylab.plot(x1, y1) > > pylab.plot(x2, y2) > > pylab.plot(x3, y3) > > ... > > > > ~jonathon anderson > > > > > ------------------------------------------------------------------------- > > Take Surveys. Earn Cash. Influence the Future of IT > > Join SourceForge.net's Techsay panel and you'll get the chance to share > your > > opinions on IT & business topics through brief surveys - and earn cash > > > http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV > > > > _______________________________________________ > > Matplotlib-users mailing list > > Mat...@li... > > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > > > >
I have several lines of data that I want to plot on the same graph, but every time I run the pylab.plot() function it redraws the graph from nothing. I've tried pylab.plot(*, hold=True) and pylab.hold(True), but it still happens. Can I add data to an existing figure, or do I have to pass all the data at once? e.g., Do I have to do this: pylab.plot(x1, y1, x2, y2, x3, y3, ...) or can I do this: pylab.plot(x1, y1) pylab.plot(x2, y2) pylab.plot(x3, y3) ... ~jonathon anderson
>>>>> "Matthew" == Matthew Koichi Grimes <mk...@cs...> writes: Matthew> Autoscaling is usually cool, but for my particular Matthew> application I'd like to turn it off, so that my Matthew> successive surface plots are all shown in the same Matthew> scale. How can I turn off autoscaling in Axes3D? Matthew> My current workaround is to manually set the axis limits Matthew> just before each draw(), but this is kind of a pain, and Matthew> fragile. Matt, just to let you know, axes3d is not really supported. We include it because some people find it useful and we're hoping some person (you!) will pick it up and run with it. This code was written and generously donated by John Porter, who is too busy to maintain it as are the other core mpl devels. So please use it and post problems, but don't be surprised if noone comes to your aid. Most likely, you will need to find and fix these bugs yourself as you can. In general, you can turn off autoscaling with ax.set_autoscale_on(False) Though I would have to dig through the code to see if this is supported for Axes3d.... JDH
Hi! I am farely new to matplotlib and basemap. I have one question about how to plot data from a csv file on a map. the header goes as this ID lat(x) long(y) measurements(z) how can I read data in that x gets the latitude y gets the longgitute z gets the data which will be shown in different color accoring to their values? I played around and started from quiver_demo.py but didn't find my way. reader = csv.reader(open('t.csv')) for row in reader: print row Could you give me some hints or starting points? Thanks, Tim -- Der GMX SmartSurfer hilft bis zu 70% Ihrer Onlinekosten zu sparen! Ideal für Modem und ISDN: http://www.gmx.net/de/go/smartsurfer