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Hi thanks for the link thats interesting though I would perhaps rather not learn a new set of commands just for one plot. Though it seems from my searching that this might be the only route! cheers, Martin Arthur M. Greene wrote: > > On 12/09/2010 05:42 PM, mdekauwe wrote: >> >> Hi, >> >> Has anyone ever managed to draw a taylor diagram in Matplotlib? For >> example >> like this >> >> http://www.mathworks.com/matlabcentral/fx_files/20559/2/taylordiag_fig.jpg >> >> Cheers, >> >> Martin > > Not sure whether Matplotlib can do this, but it can be done with CDAT, > another Python-based library: http://www2-pcmdi.llnl.gov/cdat > > HTH, > > AMG > > ----------------- > > ------------------------------------------------------------------------------ > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- View this message in context: http://old.nabble.com/Taylor-diagram-tp30421393p30441386.html Sent from the matplotlib - users mailing list archive at Nabble.com.
I was wondering if there is an easy way to combine two vectors (x and y) into a single object to be ploted with the plot() method in matplotlib. Untill now, I did something like: import matplotlib.pyplot as plt x = np.nplinspace(0,5,1000) y = np.ones_like(x) plt.plot(x,y) # need an object here plt.show() But I would like to use plt.plot(my_object, 'r'). I tried to combine x and y in lists of lists, NumPy matrices, with zip, etc...but it only plots a collection of plots. Thanks a lot in advance.
I've boiled it down to nearly nothing as a script attached to this bug report: <https://sourceforge.net/tracker/?func=detail&atid=560720&aid=3124990&group_id=80706> it simply creates an Axis and then regularly shifts the x axis limits and calls canvas.draw() to display the change. (It also reports memory usage.) You can further simplify the script by commenting out the limes that alter the x axis limits, but then the display does not change (though matplotlib still leaks memory as long as canvas.draw is still called). I will try ax.clear(). Thanks. -- Russell On Dec 12, 2010, at 8:08 AM, Friedrich Romstedt wrote: > 2010年12月12日 Russell Owen <ro...@uw...>: >> Simply creating a blank Axes and calling canvas.draw() leaks memory -- even without displaying any data or shifting the x axes. > > Okay, as a workaround have you tried ax.clear()? > > So the example script provided by you can be boiled down further? > > I'm using ax.clear() in a layered approach very extensively and have > never noticed memory leaks with this. I'm having a Layer object which > can be fed by data, and when the data changes, it automatically will > trigger an ax.clear() in the host stack, and then everything is > redrawn. Not the fastest, but fast enough. > > Friedrich
2010年12月12日 Russell Owen <ro...@uw...>: > Simply creating a blank Axes and calling canvas.draw() leaks memory -- even without displaying any data or shifting the x axes. Okay, as a workaround have you tried ax.clear()? So the example script provided by you can be boiled down further? I'm using ax.clear() in a layered approach very extensively and have never noticed memory leaks with this. I'm having a Layer object which can be fed by data, and when the data changes, it automatically will trigger an ax.clear() in the host stack, and then everything is redrawn. Not the fastest, but fast enough. Friedrich
hi all i am new to networkx and Matplotlib. I downloaded networkx1.3 under python 2.7.1 for windows xp. when i tried to install matplotlib, it requires python 2.6 only. What shall i do in this situation? kindly suggest me to have successful installation of matplotlib. Awaiting for your replies. thanking you in advance. With Warm Wishes and Regards ____ A. Abdul Rasheed, M.C.A., M.E., Ph.D., Assistant Professor, Department of Computer Applications, Valliammai Engineering College, SRM Nagar, Kattankulathur - 603 203. Kancheepuram District. Tamil Nadu. INDIA. Contact: 91 - 44 - 27454784 Ext: 451 (O) / 996 23 000 55
Hi, I have an animated plot and I'm having trouble updating the tick labels after I blit new data to the canvas. I've looked through the documentation and it's not clear to me how I can update the x and y axis ticks during an animation. Anyone here know how to do this? Best, Soren
I am sort of adding data points; what I'm really doing is appending data to a python list and setting the data in the Line object to that list. The list gets shortened every once in awhile to keep the amount of data from getting too large. It turns out the leak is in canvas.draw(), which I call whenever I shift the graph in time (by changing the limits on the x axis); if I don't call canvas.draw() the time shift is not displayed. Simply creating a blank Axes and calling canvas.draw() leaks memory -- even without displaying any data or shifting the x axes. Regards, -- Russell On Dec 11, 2010, at 1:32 PM, Friedrich Romstedt wrote: > 2010年12月1日 Russell E. Owen <ro...@uw...>: >> I'm seeing a nasty memory leak in my strip chart widget using matplotlib >> 1.0, TkAgg and Mac OS X 10.5 >> >> I've posted a minimal version here: >> <http://www.astro.washington.edu/users/rowen/python/MinimalStripChartWdg. >> py> >> >> It doesn't seem to matter if I use the animation API or not (the example >> does not). >> >> Any ideas? > > Hmm, you're adding points right? I remember one time I had a similar > timeline updating each second or so, and after 10 hr it took memory of > the order of Gigabytes (iirc) ... and it took seconds to refresh the > plot ... took me some time to figure it out that the plotting was the > culprit ... > > hth, fwiw, > Friedrich
Hi all, I have set up an event handler and function to perform actions when a user presses certain keys in the plot window. The function needs access to variables that are in the main function. How do I pass these variables to the function. In OnKeyPress, ImageNumber and Li are objects in the main program. Any ideas on how to pass them? Thanks plt.connect('key_press_event',OnKeyPress) def OnKeyPress(self,event): print 'button= ',event.key, event.xdata, event.ydata if event.key == 'm': ImageNumber = ImageNumber + 1 if event.key == 'n': ImageNumber = ImageNumber - 1 rawimage = Li.GetImage(ImageNumber) plt.imshow(rawimage) plt.title("Image number %3d" % (ImageNumber)) plt.draw()