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Hi Egayer, Filipe Fernandes spoted a nice result using Simplekml and Basemap. https://ocefpaf.github.io/python4oceanographers/blog/2014/03/10/gearth/ Cheers, Arnaldo. 2015年06月10日 5:07 GMT-03:00 egayer <eg...@ip...>: > Hi all, > > Is there a way to produce a KML file from matplolib results as R and Matlab > do ? > > - plotKML is a R package http://plotkml.r-forge.r-project.org > - Matlab has the Google Earth Toolbox. > > Both of them allow to plot directly on GE > > I' have been digging around and found this old post :"Producing a > KML-friendly (Google Earth) image" but nothing about how to actually a > matplolib result as a KML file useable into Google Earth. > > I have seen some shape to KML packages, but nothing about raster. > > The ultimate goal being to use the "plot, mplot3d, imshow, etc..." to plot > any python array on GE. > > Thanks for your help > Eric > > > > > > -- > View this message in context: > http://matplotlib.1069221.n5.nabble.com/Produce-KML-from-Matplolib-tp45759.html > Sent from the matplotlib - users mailing list archive at Nabble.com. > > > ------------------------------------------------------------------------------ > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
Last Call to Register for SciPy 2015 (Scientific & Analytic Python Conference) <http://scipy2015.scipy.org/ehome/115969/292868/?&> Main conference July 8-10, tutorials July 6-7 & coding sprints July 11-12!Here are just a few reasons you don't want to miss this year's SciPy Conference (Online registration closes 7/3/15 <http://scipy2015.scipy.org/ehome/115969/259272/?&>): 1. *2 full days of 90 talks + 40 posters* on topics specific to Python for science, engineering, and data analysis you won't hear anywhere else.See the full list of talks and posters here <http://www.scipy2015.scipy.org/ehome/115969/292868/?&>. 2. *Meet and talk with over 500 attendees *representing diverse backgrounds and industries, gathering to share their Python experience and learn from each other. 3. *Incredible keynote speakers:* hear from Wes McKinney, author of Pandas <http://pandas.pydata.org/>; Chris Wiggins, Chief Data Scientist for The New York Times <http://www.fastcompany.com/3026162/most-creative-people/why-the-new-york-times-hired-a-biology-researcher-as-its-chief-data-sci>; and Jake VanderPlas, director of research at the University of Washington's eScience Institute and core contributor to a number of scientific Python libraries including sci-kit learn <http://scikit-learn.org/> and AstroML <http://www.astroml.org/>. 4. *Great social events <http://scipy2015.scipy.org/ehome/115969/291345/?&>* to network and get to know other attendees, including a riverboat cruise on Lady Bird Lake, diversity luncheon, annual reception, and conference kick-off reception. 5. *Attend tutorials from major community contributors. *Seats are still available for Software Carpentry, Machine Learning with Sci-Kit Learn (2nd session opened due to massive demand), Manipulating Numerical Data with NumPy, Image Analysis with Sci-Kit Image, Modern Optimization Methods in Python, and more. See tutorial details and the full schedule here <http://scipy2015.scipy.org/ehome/115969/289057/?&>. 6. *Participate in coding sprints: <http://scipy2015.scipy.org/ehome/115969/292867/?&>* Over 200 community members from core developers to Python newcomers will work together to contribute to projects and code during the SciPy sprints. You can make a huge contribution and sharpen your skills at the same time.
On 2015年06月23日 10:39 AM, Eric Firing wrote: > I would like to be able to publish plots that are updated as data are > received by the server. I don't actually want any of the toolbar > interactivity--I just want the updated plot to appear in the browser > automatically. I suspect this can all be done quite easily using the > webagg backend, but I have not yet figured it out by looking at the > embedding_in_webagg.py example and the backend_webagg* code. I expect > that stripping out the toolbar is straightforward, but what I don't > understand is how to achieve the dynamic updates, preferably without > using the animation framework, which I think would add unnecessary > complexity. > > Are there any other examples floating around that would help? > > Thanks. > > Eric To answer my own question, in case anyone else is interested, here is a block of code that can be substituted for the corresponding elements of the embedding_in_webagg.py example. The whole block goes at the bottom. ------------------------------------------------- def create_figure(): fig = Figure() ax = fig.add_subplot(1,1,1) ax.set_xlim(0, 1) ax.set_ylim(0, 1) line, = ax.plot([], [], 'r-') return fig, line if __name__ == "__main__": figure, line = create_figure() application = MyApplication(figure) http_server = tornado.httpserver.HTTPServer(application) http_server.listen(8080) print("http://127.0.0.1:8080/") print("Press Ctrl+C to quit") def update2(): line.set_data(np.random.rand(2, 25)) figure.canvas.draw_idle() io_loop = tornado.ioloop.IOLoop.instance() cb = tornado.ioloop.PeriodicCallback(update2, 1000) cb.start() io_loop.start() ---------------------------------------------------------- Instead of the using the PeriodicCallback I will probably be using ZMQStream.on_recv() to register a callback on a socket, but that doesn't change the basic structure. Eric