Re: [Matplotlib-users] 3d performance question
Hi Neal, my understanding is that matplotlib does not use OpenGL (thus the terrible performance you see). You might want to look into glumpy for mplot3d OpenGL acceleration. Ethan On Dec 14, 2012, at 5:23 AM, Neal Becker ndbeck...@gmail.com wrote: I'm using fedora (17) linux. I notice on complicated 3d plot, interactive performance can get sluggish. I'm using nouveau driver now, but wondering if installing nvidia driver will improve mpl 3d performance? Does mpl use opengl? -- LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial Remotely access PCs and mobile devices and provide instant support Improve your efficiency, and focus on delivering more value-add services Discover what IT Professionals Know. Rescue delivers http://p.sf.net/sfu/logmein_12329d2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial Remotely access PCs and mobile devices and provide instant support Improve your efficiency, and focus on delivering more value-add services Discover what IT Professionals Know. Rescue delivers http://p.sf.net/sfu/logmein_12329d2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] plot_surface does not work
This is because the default rstride and cstride arguments is 10, IIRC. Since your array is only 12x12, the surface plotting is barely plotting anything. Try calling: ax.plot_surface(x, y, a, rstride=1, cstride=1) You know, this has tripped me up a few times too. I don't use plot_surface often enough to always remember this, and it is not the first parameter I think to check when debugging a program. Is there a reason the default rstride and cstride aren't 1 other than possible memory constraints for large arrays? I suppose changing the defaults might break programs that rely on this behavior, but if this API ever gets revamped, consider this a request to make 1 be the default instead. I would think that the default should be that the obvious command just works while plots that may require too much memory can be tweaked to work faster (I'm assuming that is the reason for the default of 10). thanks Ethan -- LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial Remotely access PCs and mobile devices and provide instant support Improve your efficiency, and focus on delivering more value-add services Discover what IT Professionals Know. Rescue delivers http://p.sf.net/sfu/logmein_12329d2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Plot multiple lines
1. How to open excel file in python? You can read excel files with the xlrd module : http://www.python-excel.org/ However, you may want to simply read your exported CSV files. 2. I would like to plot multiple line joining the positions of each of the events, it is possible to do this? Have any idea how to do it? I'm not quite sure what you are aiming for with this. You should be able to just plot a series of lines, as long as they have common start and end points they will appear joined, but the lines can have different attributes (e.g. color). Or you can plot all the points as a single line with multiple segments (all segments having the same attributes). The idea is to plot the trajectories on a particular region, for my case is Mexico. Trayectorias-scm-2004.csvTrayectorias-scm-2004.xls-- -- Monitor your physical, virtual and cloud infrastructure from a single web console. Get in-depth insight into apps, servers, databases, vmware, SAP, cloud infrastructure, etc. Download 30-day Free Trial. Pricing starts from $795 for 25 servers or applications! http://p.sf.net/sfu/zoho_dev2dev_nov___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] 3d surfaces in basemap?
Hi Andreas, Someone else, please correct me if I'm wrong, but I think the only way to do this is to provide your own facecolors map. Pick your preferred color map and apply it to dataset B, then now use mplot3d plot_surface(X,Y,Z_A,facecolors=B_colors). Assuming you are running inside pylab or have done similar imports, the following example should work --- import mpl_toolkits.mplot3d.axes3d x=arange(10) y=arange(10) x,y=meshgrid(x,y) za=sin(np.deg2rad(x))+20*cos(np.deg2rad(y)) zb=x*25 colors=cm.jet(zb) ax = gca(projection='3d') surf = ax.plot_surface(x,y,za,rstride=1,cstride=1,facecolors=colors) draw() #I'm not sure why the draw command is necessary… anyone? --- Note, plot_surface will apply shading by default, you can turn it off and just use your supplied colors using the shade=False keyword arg ethan On Oct 27, 2012, at 2:09 AM, Andreas Hilboll wrote: Hi, maybe matplotlib is capable of doing this: I have two gridded datasets, A and B, for say Europe. Now I want to plot a 3d surface with the z-values given by dataset A. The surface should be colored using a given color palette and the values from dataset B. Any ideas on how to do this are greatly appreciated =) Cheers, Andreas. -- WINDOWS 8 is here. Millions of people. Your app in 30 days. Visit The Windows 8 Center at Sourceforge for all your go to resources. http://windows8center.sourceforge.net/ join-generation-app-and-make-money-coding-fast/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- WINDOWS 8 is here. Millions of people. Your app in 30 days. Visit The Windows 8 Center at Sourceforge for all your go to resources. http://windows8center.sourceforge.net/ join-generation-app-and-make-money-coding-fast/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Format date tick labels
On Oct 11, 2012, at 2:58 PM, Benjamin Root wrote: On Thu, Oct 11, 2012 at 4:53 PM, Mark Lawrence breamore...@yahoo.co.uk wrote: On 11/10/2012 10:55, Damon McDougall wrote: Am I missing something here? Are seconds just floats internally? A delta of 1e-6 is nothing (pardon the pun). A delta of 1e-9 is the *least* I'd expect. Maybe even 1e-12. Perhaps the python interpreter doesn't do any denormalisinghttp://stackoverflow.com/questions/9314534/why-does-changing-0-1f-to-0-slow-down-performance-by-10x when encountered with deltas very close to zero... What percentage of computer users wants a delta of 1e-12? I suspect that the vast majority of users couldn't care two hoots about miniscule Preach on, my brother! Preach on! [psst -- you are facing the choir...] I'm a little confused by this attitude. I recognize that there are issues around dates, I've written a few date libraries myself to get around insane excel date issues (pop quiz for anyone at MS, was 1900 a leap year?) or just to simplify APIs for my own use. But do neither of you think that nanoseconds are important to scientists? I know of enough projects that work with pico (and a few with femto) seconds. Even though I often work with climate data covering ~100s of years and used to work with geologic data covering ~billions of years, I may start working with raw laser data for distance measurements where nanoseconds can be a pretty big deal. These data would be collected over a few years time, so a date utility that can handle that scale range would be useful. I guess I'll be writing my own date/time library again and hacking together some way of plotting data in a meaningful way in matplotlib. Don't get me wrong, matplotlib shouldn't have to reinvent the wheel here, but claiming that nobody could possibly care about 1e-12 seconds seems a little provincial. My apologies if that is not how the above statements were intended. regards, Ethan-- Don't let slow site performance ruin your business. Deploy New Relic APM Deploy New Relic app performance management and know exactly what is happening inside your Ruby, Python, PHP, Java, and .NET app Try New Relic at no cost today and get our sweet Data Nerd shirt too! http://p.sf.net/sfu/newrelic-dev2dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Format date tick labels
On Oct 12, 2012, at 4:15 PM, Mark Lawrence wrote: On 12/10/2012 20:38, Ethan Gutmann wrote: I'm a little confused by this attitude. I recognize that there are issues around dates, I've written a few date libraries myself to get around insane excel date issues (pop quiz for anyone at MS, was 1900 a leap year?) or just to simplify APIs for my own use. But do neither of you think that nanoseconds are important to scientists? I know of enough projects that work with pico (and a few with femto) seconds. Even though I often work with climate data covering ~100s of years and used to work with geologic data covering ~billions of years, I may start working with raw laser data for distance measurements where nanoseconds can be a pretty big deal. These data would be collected over a few years time, so a date utility that can handle that scale range would be useful. I guess I'll be writing my own date/time library again and hacking together some way of plotting data in a meaningful way in matplotlib. Don't get me wrong, matplotlib shouldn't have to reinvent the wheel here, but claiming that nobody could possibly care about 1e-12 seconds seems a little provincial. My apologies if that is not how the above statements were intended. regards, Ethan I actually said What percentage of computer users wants a delta of 1e-12? I suspect that the vast majority of users couldn't care two hoots about miniscule time deltas in a world where changing time zones can cause chaos How does this translate into claiming that nobody could possibly care about 1e-12 seconds seems a little provincial? -- Cheers. Mark Lawrence. Like I said, my apologies if I mis-interpreted. To me the statement the vast majority of users couldn't care two hoots... *implies* since almost nobody needs this we won't worry about it, especially when it is in response to someone who felt this was an important feature: A delta of 1e-9 is the *least* I'd expect. Maybe even 1e-12. . My response was as much an issue with how I perceived the tone as anything else (obviously, tone doesn't cary well over email ;) ) Don't get me wrong, I realize there are bigger fish to fry. I just want add a vote that 1E-12 seconds (and less) can indeed be important to a significant number of people. I suspect that many experimental physicists would be unable to use a time utility that can't handle those timescales. Many of them will simply write there own utility, but then if they start running into any of the longer time scale issues e.g. leap years/seconds etc. they end up having to reinvent the wheel. Others have also pointed out that databases[1], network packets and stock trading transactions[2] may care about nanoseconds. [1]http://code.activestate.com/lists/python-dev/117090/ [2]http://code.activestate.com/lists/python-dev/117091/ I'm glad to see that others are thinking about this and that future python versions may get down to nanosecond (or better?) resolution, though I haven't found the PEP for it yet. Guido seems to have given his approval for more work on the matter at least : http://code.activestate.com/lists/python-dev/117147/ PEP 418 mentioned before doesn't mention the date time class as far as I can tell. http://www.python.org/dev/peps/pep-0418/ regards, Ethan -- Don't let slow site performance ruin your business. Deploy New Relic APM Deploy New Relic app performance management and know exactly what is happening inside your Ruby, Python, PHP, Java, and .NET app Try New Relic at no cost today and get our sweet Data Nerd shirt too! http://p.sf.net/sfu/newrelic-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] MemoryError with NetCDF
On Sep 7, 2012, at 11:04 AM, Eric Firing wrote: On 2012/09/07 4:00 AM, Benjamin Root wrote: On Fri, Sep 7, 2012 at 9:49 AM, Shahar Shani-Kadmiel kadm...@post.bgu.ac.il mailto:kadm...@post.bgu.ac.il wrote: On Sep 7, 2012, at 4:25 PM, Benjamin Root wrote: On Fri, Sep 7, 2012 at 8:44 AM, Shahar Shani-Kadmiel kadm...@post.bgu.ac.il mailto:kadm...@post.bgu.ac.il wrote: snip Normalization has to handle all sorts of inputs--masked or not, all sorts of numbers, scalar or array--and it is much easier to do this efficiently if all these possibilities are reduced to a very few at the start. Specifically, it needs to supply a copy of the input (so that normalization doesn't change the original) in a floating point masked array, using float32 if possible for space efficiency. It needs to keep track of whether the input was a scalar, so that normalization can return a scalar when given a scalar input. Eric Another option as I understand it is to pass in a 1D (greyscale) or 3d (color) array (where the 3rd dimension is RGB and optionally A) of type uint8(?). This array does not need to get normalized, it will be displayed as raw pixel values. I don't remember if you also have to specifically tell it not to normalize the data. But the easier answer for your case would probably be imshow(data[::10,::10]) which will take every 10th element in x and y thus reducing the size by a factor of 100 (depending on the size of your data you could use ::2 or ::50, etc) Ethan-- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] scatter plot with constant x
... No, but you can do this: plt.plot([3] * 4, [60, 80, 120, 180], ...) This started from a simple enough question, but it got me thinking about what the fastest way to do this is (in case you have HUGE arrays, or many loops over them). This may be old news to some of you, but I thought it was interesting: In ipython --pylab In [1]: %timeit l=[3]*1 1 loops, best of 3: 53.3 us per loop In [2]: %timeit l=np.zeros(1)+3 1 loops, best of 3: 26.9 us per loop In [3]: %timeit l=np.ones(1)*3 1 loops, best of 3: 32.9 us per loop In [4]: %timeit l=(np.zeros(1)+3).repeat(1) 1 loops, best of 3: 87.4 us per loop In [5]: %timeit l=np.zeros(1);l[:]=3 1 loops, best of 3: 21.6 us per loop In [6]: %timeit l=np.zeros(1,dtype=np.uint8);l[:]=3 10 loops, best of 3: 13.9 us per loop Using int16, int32, float32 get progressively slower to the default float64 case listed on line [5], changing the datatype in other methods doesn't result in nearly as large a speed up as it does in the last case. Ben's method is probably the most elegant for small arrays, but does any one else have a faster way to do this? (I'm assuming no use of blitz, inline C, f2py, but if you think you can do it faster in one of those, show me the way). Sorry, maybe this is more appropriate on the numpy list. Ethan -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] scatter plot with constant x
On Jun 6, 2012, at 10:49 AM, Michael Droettboom wrote: Interesting result. Note, however, that matplotlib will eventually turn all data arrays into float64 at rendering time, so any speed advantage to using integers will be lost by the subsequent conversion, I suspect. I don't think it does if you pass uint8 to imshow, but otherwise you might be right. ethan -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] scatter plot with constant x
On Jun 6, 2012, at 11:41 AM, Eric Firing wrote: Since we end up needing float64 anyway: In [3]: %timeit l=np.empty(1,dtype=np.float64); l.fill(3) 10 loops, best of 3: 14.1 us per loop nice, fill and empty seem to be responsible for about half the speed up each, good tools to know about. -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Focus in OSX
On Apr 11, 2012, at 2:19 PM, Chris Laumann wrote:
I get the exact same behavior from both Enthought supplied python and Apple
supplied python. I haven't tried any other pythons, but it isn't limited to
the Apple one.
C
I've never seen quite what has been described, but I've had issues with the
macosx backend not updating the plot window in realtime when working
interactively.
I've given up and just use the tkagg backend, no problems there on OSX for me.
It might be something others should try. When I was having trouble, I tried
reinstalling python matplotlib about 5 different ways including just using
the builtin python plus the binary matplotlib installer, nothing worked with
the osx backend, but I think tkagg always worked.
Is there a benefit to the macosx backend over the tkagg one?
Ethan
On Apr 11, 2012, at 1:58 PM, Elliot Saba wrote:
I'm using homebrew python, which is built from source, and the latest
matplotlib gotten from git://github.com/matplotlib/matplotlib.git. (I
rebuilt it ~2 minutes ago)
Perhaps there's some kind of environment difference?
-E
On Wed, Apr 11, 2012 at 5:12 AM, Zachary Pincus zachary.pin...@yale.edu
wrote:
1. Keyboard input always goes to the terminal. Shortcuts don't work in the
standard plot windows and my custom widgets no longer catch
key_press_events (I'm not sure when this functionality broke exactly as I
haven't used those widgets much recently but it worked when I developed 'em
a year or two ago.)
2. There's no icon in the cmd-tab task switcher corresponding to the figure
windows. Swapping to the terminal running ipython (or the qtconsole for
ipython qtconsole) does not raise the windows.
3. Using mission control, the figures appear grouped as if they belong to
an application of their own. However, when you click on them to swap to
them and bring them forward from behind other windows, they raise and then
immediately disappear again. I think that mission control is raising the
specific window you select from the collection of figures, but then OSX is
somehow immediately re-raising the previously selected app, which hides the
figures again.
Hmm, I don't really see these issues, using a dev matplotlib, OS X 10.7.3,
and a python.org python 2.7. Interesting. (This is with the 'MacOSX'
backend, mind. Also note that on March 5 there was a patch to that backend
to fix a few issues, so if your matplotlib checkout is before that, perhaps
that's the problem?)
Anyhow, when I start python (or ipython), and then do import
matplotlib.pyplot as plt, nothing happens, but then plt.figure(), for
example, causes a new dock icon to appear -- a python rocket-ship thing --
that acts as an app that owns the figure windows. I can use this app to
switch to / raise the windows from the dock or the cmd-tab switcher, and
things work correctly via mission control as well.
The keyboard shortcuts are a bit flaky ('s' never seems to work, but I can
e.g. toggle gridlines with 'g' or log-axes with 'l'), but the key-presses
definitely don't go to the terminal.
I wonder what the difference is? Perhaps the apple-supplied python is a bit
broken in this regard?
Zach
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Re: [Matplotlib-users] How matplotlib got me a job
On Feb 7, 2012, at 1:42 AM, Friedrich Romstedt wrote: I'd like to thank John and Ben for this inspiring posts, which showed them from a side I've never seen so far. Show your hands if you're thinking the same. I hope I didn't bore you all :-) Well said Friedrich, though I'm a relative newcomer to python/matplotlib, I've been on the peripheral of a lot of open source, and I've enjoyed this thread. Also, congrats Ben, both on finishing the PhD and on the job. If you ever find yourself in Boulder, CO (I'm at NCAR), let me know and I'll buy you a drink. ethan -- Keep Your Developer Skills Current with LearnDevNow! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-d2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-users] How to plot y vs x with some missing points in y vector?
On Jan 27, 2012, at 9:11 AM, Fabien Lafont wrote: Ive tried: for i in range(0,NbPts): if column1[i] == nan: column1[i].remove(nan) column2[i].remove(nan) to remove these points but it doesn't work you are close, I think what you want is: # assuming column1 and 2 are numpy arrays import numpy as np for i in range(0,NbPts): if np.isnan(column1[i]): column1=np.remove(column1,i,0) column1=np.remove(column2,i,0) 2012/1/27 Benjamin Root ben.r...@ou.edu: On Fri, Jan 27, 2012 at 9:52 AM, Fabien Lafont lafont.fab...@gmail.com wrote: Sorry, It's an awkward manipulation. I finish the mail 2012/1/27 Fabien Lafont lafont.fab...@gmail.com: I want to plot something like: X(time)Ypoints 08 1 27 36 44 5 6 77 82 9 10 In fact I've recorded some live datas and when I use genfromtxt() the blank parts are translated as 'nan' and I can't for example fit it with polynomials. If you plot the data, it should skip data points that are NaNs and you should see a break in the line IIRC. Is that not what you want? Ben Root -- Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] using solid colours in surface plots
Along these lines, it looks to me like plot_surface is not shading when I would expect it to (maybe I just have the wrong expectations?) I would expect the following to create a surface with colors from the colormap but shading from a lightsource. surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.jet,shade=True) However, axes3d.py requires facecolors to be set in order to generate facecolors to shade... mpl_toolkits/mplot3d/axes3d.py line 1378-1380 mpl v1.1.0 # Shade the data if shade and cmap is not None and fcolors is not None: fcolors = self._shade_colors_lightsource(Z, cmap, lightsource) should the if statement be: if shade and cmap is not None and fcolors is None: I'm not sure if this will screw anything else up, but it makes a lot more sense to me as an API. Maybe there are other reasons to require facecolors to be set? Ethan On Jan 9, 2012, at 10:28 AM, Zoltán Vörös wrote: On 01/09/2012 05:46 PM, Benjamin Root wrote: When we said that GTK is not supported, (1) is not an official decision, I think, (2) we mean the pure GTK *backend*. We fully support the GTKAgg backend, which is superior to the GTK backend in every way. Please try v1.1.0 before continuing. There were many important changes to mplot3d between v1.0.1 and v1.1.0. Indeed, that was the case. The surface plot works as advertised now. Thanks for helping out with this! Once I have a viable code for phonging, I will send it to you in a personal mail. Cheers, Zoltán -- Ridiculously easy VDI. With Citrix VDI-in-a-Box, you don't need a complex infrastructure or vast IT resources to deliver seamless, secure access to virtual desktops. With this all-in-one solution, easily deploy virtual desktops for less than the cost of PCs and save 60% on VDI infrastructure costs. Try it free! http://p.sf.net/sfu/Citrix-VDIinabox ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Ridiculously easy VDI. With Citrix VDI-in-a-Box, you don't need a complex infrastructure or vast IT resources to deliver seamless, secure access to virtual desktops. With this all-in-one solution, easily deploy virtual desktops for less than the cost of PCs and save 60% on VDI infrastructure costs. Try it free! http://p.sf.net/sfu/Citrix-VDIinabox ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] matplotlib 3D: interpolated shading
Holger, for what it is worth, you can hack this fairly easily. Run the code twice once with colors, once with shading. Take the output from both as images, the convert both images to HSV, the recombine the HS components from the color version with the V component of the shaded version. I haven't done this in matplotlib, but it worked great for me in IDL. On Oct 5, 2011, at 1:23 PM, Holger Brandsmeier holger.brandsme...@sam.math.ethz.ch wrote: Ben, I would be very happy to have this functionality. I think this would also make the 3D plots in the examples that matplot provides look a good deal nicer. Let me know if you have any updates on this. -Holger On Mon, Oct 3, 2011 at 21:18, Benjamin Root ben.r...@ou.edu wrote: On Fri, Sep 30, 2011 at 11:33 AM, Holger Brandsmeier holger.brandsme...@sam.math.ethz.ch wrote: Ben, On Fri, Sep 30, 2011 at 17:06, Benjamin Root ben.r...@ou.edu wrote: What values for rstride and cstride are you using? By default, plot_surface() will sample every 10th point of the data array (for performance reasons). Also, color interpoltion can be turned on by setting shade to True. I beleive I start to understand the underlying logic. If no color map is set and shading and antialiazing is set, then indeed the surface is nicely and smoothly displayed. When I provide a color map, then I seem to be able to assign one color for the whole polygon. I also find something like that in the code. In my case I want the z-coordinate to determine the color. I want to use a colormap like jet and no transparency. If I don't use the colormap argument, then I get shading, however everything is blue with shading depending on a lightsource.I don't really need a lightsource, but I would like non-constant colors per polygon. Yes, you have the logic correct (and probably better explained than I could have done). This actually was an issue raised a couple of months ago in a bit of a different context, but the solution wasn't entirely clear at that point. However, looking at the code again (remember, I didn't write it originally, and it had next to no comments), I think I see a fairly simple solution. If I allow for the user to specify a light source of None, then I could feed the data through a different function to shade the surface. I will look into doing that, but it won't make it into the v1.1.0 release (slated for tomorrow). Cheers! Ben Root -- Holger Brandsmeier, SAM, ETH Zürich http://www.sam.math.ethz.ch/people/bholger -- All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2dcopy1 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2dcopy1 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to hide axes in a 3D plot
I see the same thing here (from within ipython -pylab), and moving the ax.set_axis_off() immediately after the add_subplot call doesn't change anything. Interacting with the plot doesn't change anything either. Ethan On Sep 7, 2011, at 1:21 PM, Benjamin Root wrote: On Wed, Sep 7, 2011 at 2:14 PM, Joe Kington jking...@wisc.edu wrote: This no longer seems to work with matplotlib 1.0.1. As a quick example: import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D fig = plt.figure() ax = fig.add_subplot(111, projection='3d') x,y,z,c = np.random.random((4,10)) ax.scatter(x, y, z, c=c) ax.set_axis_off() plt.show() The attached .png shows the result on my system... Is this a bug, or am I doing something strange? Thanks! -Joe Hmmm, try putting that call right after the add_subplot() call. I don't have time to test it out right now, but I wonder if the axes are being drawn once prior to the call to set_axis_off(). I would also be interested to know if the axes disappear when you interact with it. Ben Root -- Using storage to extend the benefits of virtualization and iSCSI Virtualization increases hardware utilization and delivers a new level of agility. Learn what those decisions are and how to modernize your storage and backup environments for virtualization. http://www.accelacomm.com/jaw/sfnl/114/51434361/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Using storage to extend the benefits of virtualization and iSCSI Virtualization increases hardware utilization and delivers a new level of agility. Learn what those decisions are and how to modernize your storage and backup environments for virtualization. http://www.accelacomm.com/jaw/sfnl/114/51434361/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Moving plot windows?
Hi, I'm trying to move plot windows programmatically, or at least control where a new window opens. At the moment, every new window opens 20px further down/right from the previous new window, but can I tell it to open e.g. 0px down and 100px right? Or can I move it after it opens? I've dug around a bit and gotten lost in fig.canvas.get_tk_widget(), am I looking in the wrong place? At the moment I'm using the TkAgg backend with matplotlib 1.0.1 (python 2.6) on Mac OS X. thanks, Ethan -- View this message in context: http://old.nabble.com/Moving-plot-windows--tp32411243p32411243.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Malware Security Report: Protecting Your Business, Customers, and the Bottom Line. Protect your business and customers by understanding the threat from malware and how it can impact your online business. http://www.accelacomm.com/jaw/sfnl/114/51427462/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
