Re: [Matplotlib-users] Call for new style defaults
Le 12/07/2015 18:11, Thomas Caswell a écrit : I recommend everyone watch Nathaniel Smith and Stéfan van der Walt's talk from SciPy2015 introducing the new color map and providing an introduction to the math of color perception: https://www.youtube.com/watch?v=xAoljeRJ3lU Great presentation, thanks for sharing ! -- Pierre -- Don't Limit Your Business. Reach for the Cloud. GigeNET's Cloud Solutions provide you with the tools and support that you need to offload your IT needs and focus on growing your business. Configured For All Businesses. Start Your Cloud Today. https://www.gigenetcloud.com/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] savefig and StringIO error on Python3
Le 02/11/2014 09:34, Scott Lasley a écrit : I wish I could say that it was because of a deep understanding of the inner workings of matplotlib or a rock solid grasp of python 3's bytes vs strings, but it wasn't. fig.savefig threw the TypeError: string argument expected, got 'bytes' exception, so I figured BytesIO might work better with the binary png data than StringIO, and it did. As a side note on the bytes vs strings topic, there is PyCon video that I found immensely useful: Pragmatic Unicode, or How Do I Stop the Pain http://nedbatchelder.com/text/unipain.html IMHO a 30 minutes talk worth watching. best, Pierre -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Equivalent of d3's step-after interpolation?
You might also be interested in http://stackoverflow.com/questions/15188005/linestyle-in-matplotlib-step-function which details the `drawstyle` parameters. It can be set to 'steps-post' for example. The only case I was not able to cover with this parameter are the fill_between plots, because they do not use Line objects... -- Pierre -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Using unregistered scales
Hi Paul, Le 06/10/2014 22:27, Paul Hobson a écrit : I built a ProbabilityScale[2] which I hope one day will be in the statsmodels library. This just made me think that back in April I was also playing with matplotlib scales for probability distribution. http://nbviewer.ipython.org/gist/pierre-haessig/7e3e6a818edeb6819708 It's actually a completely different idea, because I was doing a logit scale to get a good visualization of *tails* in a cumulated distribution plot. So I'm jumping on your thread in case anyone can give me some feedback on this idea. For example, I have no clue on how common this kind of plot is (and how useful it can be!!). best, Pierre (and going back to your original question, I notice that I was indeed registering the scale...) -- Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer http://pubads.g.doubleclick.net/gampad/clk?id=154622311iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Question about copy_from_bbox
Hi Michka, I haven't practiced PyQt for some time, but I think I remember there is a common practice of using a 0 ms timer to launch a function after the Gui setup. I've modified your gist here : https://gist.github.com/pierre-haessig/9909708 (for some reason the Github fork button printed The change you wanted was rejected.) I don't know if it does what you want, but at least it doesn't move anymore. best, Pierre -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] pure Qt data visualization (not open source)
Hi, I just ran across this new Qt add-on for data visualization : blog.qt.digia.com/blog/2014/03/26/qt-data-visualization-1-0-released/ It's a bit off-topic because I think there is not (yet?) a Python binding, but there is a demo video which is worth taking a look at. The video doesn't mention the API so the question is open : how easy is it to build these visualization GUIs, compared to Mayavi for instance ? (one minor difference at least... not open source) In the same category, but focusing on 2D plots, I see that Digia has also produced a Qt Charts add-on. This one has a Python binding http://www.riverbankcomputing.co.uk/software/pyqtchart/intro (commercial license only) -- Pierre -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Changing figure background color (through rcparams?)
Hi, True enough, I didn't tested in a Notebook, but now it seems to work as well: https://gist.github.com/pierre-haessig/9779940 http://nbviewer.ipython.org/gist/pierre-haessig/9779940 (just a test with mpl.rcParams['axes.facecolor'] = 'red') best, Pierre Le 25/03/2014 18:20, Adam Hughes a écrit : Thanks Pierre. I tried this with several different color types and couldn't see any difference in my plots in the notebook. Did you by chance try this out and see a difference? On Tue, Mar 25, 2014 at 9:51 AM, Pierre Haessig pierre.haes...@crans.org mailto:pierre.haes...@crans.org wrote: Hi, Le 20/03/2014 18:40, Adam Hughes a écrit : I am using an IPython notebook style that has a soft, yellow background that I think is more appealing that white. When I make a plot, I'd like the background of the plot (ie, everything that is outside the x and y axis) to be the same color. I'm trying to change the figure.facecolor parameter through rc params but I don't see any changes. Is figure.facecolor event he correct parameter? Has anyone done this successfully? I think that 'axes.facecolor' does the job. 'figure.facecolor' changes the background of the figure outside the plots (axes), that is the background color of the windows (which is not visible in the Notebook). best, Pierre -- Learn Graph Databases - Download FREE O'Reilly Book Graph Databases is the definitive new guide to graph databases and their applications. Written by three acclaimed leaders in the field, this first edition is now available. Download your free book today! http://p.sf.net/sfu/13534_NeoTech ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net mailto:Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users signature.asc Description: OpenPGP digital signature -- Learn Graph Databases - Download FREE O'Reilly Book Graph Databases is the definitive new guide to graph databases and their applications. Written by three acclaimed leaders in the field, this first edition is now available. Download your free book today! http://p.sf.net/sfu/13534_NeoTech___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Changing figure background color (through rcparams?)
Hi, Le 20/03/2014 18:40, Adam Hughes a écrit : I am using an IPython notebook style that has a soft, yellow background that I think is more appealing that white. When I make a plot, I'd like the background of the plot (ie, everything that is outside the x and y axis) to be the same color. I'm trying to change the figure.facecolor parameter through rc params but I don't see any changes. Is figure.facecolor event he correct parameter? Has anyone done this successfully? I think that 'axes.facecolor' does the job. 'figure.facecolor' changes the background of the figure outside the plots (axes), that is the background color of the windows (which is not visible in the Notebook). best, Pierre -- Learn Graph Databases - Download FREE O'Reilly Book Graph Databases is the definitive new guide to graph databases and their applications. Written by three acclaimed leaders in the field, this first edition is now available. Download your free book today! http://p.sf.net/sfu/13534_NeoTech ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Matplotlib for tiles - blank lines
Hi, Le 24/03/2014 10:45, Jesper Larsen a écrit : I am using matplotlib to produce plots (tiles) in a Web Map Service. Unfortunately I cannot get Matplotlib to plot on the entire image. There are one transparent (pixel) line at the bottom and one transparent line at the right. This is of course a problem when the tiles are shown in a map. Please see example below. Can anyone see what I am doing wrong? I've run your code and got no transparent pixels. print im.getcolors() [(65536, (0, 0, 128, 255))] I also tried with __future__ division to see if there was something with figsize = w/dpi, h/dpi, but got the same output best, Pierre (python 2.7 on Linux, mpl 1.3.1) -- Learn Graph Databases - Download FREE O'Reilly Book Graph Databases is the definitive new guide to graph databases and their applications. Written by three acclaimed leaders in the field, this first edition is now available. Download your free book today! http://p.sf.net/sfu/13534_NeoTech ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] imshow for .png- low resultion
Le 05/03/2014 22:37, Asma Riyaz a écrit :
img= mpimg.imread('/home/asmariyaz/Desktop/mytree.png')
phyl_ax.imshow(img,interpolation='nearest')
Ok, so here you could try replace 'nearest' by 'bilinear' or 'bicubic'.
I believe those are the most common choices for image resampling
(because when you plot an image and then save it, there is a resampling
involved).
(http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.imshow for
the other options)
Of course, it's also worth playing the dpi argument of savefig, as
suggested by Eric.
best,
Pierre
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Re: [Matplotlib-users] imshow for .png- low resultion
Hi Asma, Le 05/03/2014 21:19, Asma Riyaz a écrit : I am trying to merge a heat map(matplotlib) with a tree(.png), but the .png does not plot as needed or for that matter cannot be seen easily. Here is my code: ### CODE [] img = ht_ax.imshow(data, cmap=cmap, interpolation='none',vmax=threshold) [] How can I make the resolution of the .png image better OR for that matter is there a better solution to merge these together? I see the imshow call to plot the matrix but not the one you use to plot the png image. Could it be that the poor image rendering is due to a bad choice for the interpolation param ? best, Pierre -- Subversion Kills Productivity. Get off Subversion Make the Move to Perforce. With Perforce, you get hassle-free workflows. Merge that actually works. Faster operations. Version large binaries. Built-in WAN optimization and the freedom to use Git, Perforce or both. Make the move to Perforce. http://pubads.g.doubleclick.net/gampad/clk?id=122218951iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] reduce the number of ticks
Hi, In order to get a plot with a small number of ticks, it is possible to create a matplotlib.ticker.MaxNLocator object with a small value for `nbins`. However, I found it also possible to modify the existing AutoLocator instances, since AutoLocator derives from MaxNLocator : ax.xaxis.major.locator.set_params(nbins=5) ax.yaxis.major.locator.set_params(nbins=5) (the default nbins value seems to be 9) The advantage of this inplace solution is that it doesn't any importing/browsing in the mpl namespace. However, it's still a bit long. I was then wondering : 1) is this solution recommended or not ? 2) is there a shortcup to avoird the five dots ? best, Pierre attachment: pierre_haessig.vcf signature.asc Description: OpenPGP digital signature -- Android apps run on BlackBerry 10 Introducing the new BlackBerry 10.2.1 Runtime for Android apps. Now with support for Jelly Bean, Bluetooth, Mapview and more. Get your Android app in front of a whole new audience. Start now. http://pubads.g.doubleclick.net/gampad/clk?id=124407151iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] reduce the number of ticks
Le 17/02/2014 18:13, Eric Firing a écrit : I was then wondering : 1) is this solution recommended or not ? 2) is there a shortcup to avoird the five dots ? http://matplotlib.org/api/pyplot_api.html?highlight=locator_params#matplotlib.pyplot.locator_params This is both a pyplot function and an Axes method. Thanks a lot! I guess it would be nice to add a back reference to this method in http://matplotlib.org/api/ticker_api.html best, Pierre attachment: pierre_haessig.vcf signature.asc Description: OpenPGP digital signature -- Managing the Performance of Cloud-Based Applications Take advantage of what the Cloud has to offer - Avoid Common Pitfalls. Read the Whitepaper. http://pubads.g.doubleclick.net/gampad/clk?id=121054471iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] completely filling a figure canvas
Hi Andreas, Le 14/02/2014 08:12, Andreas Hilboll a écrit : Is there a way to have subplots_adjust() automatically chose left, right, bottom, top values so that everything that's been drawn tightly fits the figure? What about plt.tight_layout() ? (or fig.tight_layout ) best, Pierre attachment: pierre_haessig.vcf-- Android apps run on BlackBerry 10 Introducing the new BlackBerry 10.2.1 Runtime for Android apps. Now with support for Jelly Bean, Bluetooth, Mapview and more. Get your Android app in front of a whole new audience. Start now. http://pubads.g.doubleclick.net/gampad/clk?id=124407151iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Interative legend manipulation?
Le 07/01/2014 17:51, Paul Hobson a écrit : I believe (as of v1.3.1) that after you create the legend you call leg.draggable(True) I had never heard of that nice possibility! Would it make sense to add a few lines to the Legend Guide/Legend location ? http://matplotlib.org/users/legend_guide.html#legend-location and possibly to the legend demo ? http://matplotlib.org/examples/api/legend_demo.html (and remove http://matplotlib.org/examples/old_animation/draggable_legend.html ?) best, Pierre attachment: pierre_haessig.vcf signature.asc Description: OpenPGP digital signature -- Rapidly troubleshoot problems before they affect your business. Most IT organizations don't have a clear picture of how application performance affects their revenue. With AppDynamics, you get 100% visibility into your Java,.NET, PHP application. Start your 15-day FREE TRIAL of AppDynamics Pro! http://pubads.g.doubleclick.net/gampad/clk?id=84349831iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Some help with PyQt
Hi Eric, Le 29/08/2013 19:51, Eric Frederich a écrit : I took the example that ships with 1.3.0 and have modified it to use a grid layout and show 9 graphs in a 3x3 grid. When I do this it, other widgets become rather unresponsive. Is there a way to fix this? Somehow offload whatever is hogging CPU onto another thread or something? I just ran your code on my computer and I don't get the unresponsive widgets problem. The program takes 6% of one CPU. Yet the slider is not totally fluid. It gets better if I slowdown the plot update timer. Do you run your code on a powerful computer ? best, Pierre signature.asc Description: OpenPGP digital signature -- Learn the latest--Visual Studio 2012, SharePoint 2013, SQL 2012, more! Discover the easy way to master current and previous Microsoft technologies and advance your career. Get an incredible 1,500+ hours of step-by-step tutorial videos with LearnDevNow. Subscribe today and save! http://pubads.g.doubleclick.net/gampad/clk?id=58040911iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] major/minor grid settings in matplotlibrc
Le 31/05/2013 13:15, Pierre Haessig a écrit : Would it make sense to add also grid.major.* and grid.minor.* (as it already exists for xticks) ? any feedback ? -- Pierre -- Get 100% visibility into Java/.NET code with AppDynamics Lite It's a free troubleshooting tool designed for production Get down to code-level detail for bottlenecks, with 2% overhead. Download for free and get started troubleshooting in minutes. http://p.sf.net/sfu/appdyn_d2d_ap2 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Unicode characters in PS output
Hi Thomas, Le 27/02/2013 20:59, Thomas Sprinzing a écrit : To sum it up: use the old 7-bit equivalent for the degree sign, not any fancydancy UTF-8 character that is commonly not included in ye olde style postscript standard font embedded into your laser printer wy back then in the last millenium... Just out of curiosity, I looked at the list of ASCII printable characters (http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters) and didn't find the degree sign. However, I found it in the so-called 8 bits extensions, which I believe is just the same as the Unicode U+00B0 character. best, Pierre signature.asc Description: OpenPGP digital signature -- Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_feb___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] cross correlation
Hi, Le 27/02/2013 10:01, Sudheer Joseph a écrit : I was checking the plt.xcorr and it calls the np.correlate in side it. It calls np.correlate(ts1,ts2, mode=2). Just as a side note, mode=2 is the old fashioned way to specify mode='full' [1]. This may help in reading the numpy.correlate doc. This being said, I'm really unfamiliar with cross-correlations. I just kind of know the usual 95% confidence interval for autocorrelation at 1.96/sqrt(n). Just as a quick check, this is what R uses by default, but there are options like ci.type get more appropriate intervals for an MA series (http://stat.ethz.ch/R-manual/R-patched/library/stats/html/plot.acf.html) best, Pierre [1] https://github.com/numpy/numpy/blob/master/numpy/core/numeric.py#L678 signature.asc Description: OpenPGP digital signature -- Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_feb___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Unicode characters in PS output
Hi,
Le 26/02/2013 12:38, Gökhan Sever a écrit :
fp = plt.figure(figsize=(8.5, 11))
fp.text(0.5, 0.5, uTemperature, \u00B0C, color='black', fontsize=16)
plt.savefig('test.ps http://test.ps', papertype='letter')
plt.savefig('test.pdf', papertype='letter')
Just a thought. Hope it helps.
Ryan
This works fine. However it is easy to remember a superscript o then
its code :) By the way, can you select the text within the PS file?
I just noticed that you are using here the character U+2070 superscript
zero (^(0)) while Ryan's proposition is U+00B0 degree sign (°) which
I think is the correct one to use.
This being said, there should be no difference between using the Unicode
code and actual ° character (and I agree it's simpler to remember)
In [1]: a = uTemperature, \u00B0C
In [2]: a
Out[2]: u'Temperature, \xb0C'
In [6]: b = uTemperature °C
In [7]: b
Out[7]: u'Temperature \xb0C'
Coming back to your other question, I can't select the text in the PS
file (using Okular or Evince). (but PDF is selectable)
Also, the PS file renders properly with both ^(0) and ° signs. (but
with PDF, the ^(0) is placed to low, while ° is fine)
Best,
Pierre
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Re: [Matplotlib-users] Unicode characters in PS output
Le 26/02/2013 14:38, Gökhan Sever a écrit : Could you test my outputs if they look fine on your side? http://atmos.uwyo.edu/~gsever/data/matplotlib/test.pdf http://atmos.uwyo.edu/%7Egsever/data/matplotlib/test.pdf http://atmos.uwyo.edu/~gsever/data/matplotlib/test.ps http://atmos.uwyo.edu/%7Egsever/data/matplotlib/test.ps Good idea ! * your PDF file looks fine with Okular * your PS indeed has the problem you describe (again Okular) : - ° (degree sign) is fine - but ⁰ (zero superscript) is replaced by ? In case it may explain the difference : I'm using mpl 1.1.1rc2 from Debian testing and I have the following line in my matplotlibrc (is it relevant ???) font.sans-serif : DejaVu Sans, sans-serif Best, Pierre signature.asc Description: OpenPGP digital signature -- Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_feb___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] cross correlation
Hi Sudheer,
Le 21/02/2013 02:22, Sudheer Joseph a écrit :
Thank you very much Smith and Paul,
I was away from office due
to a medical situation. So could not respond and thank you regarding
the help. I have got the results now and the tips from both of you
were extremely useful. I am facing an issue with the code when I call
plt.xcorr, in a loop. it builds up usage of memory by python and
reaches to the RAM what ever available ( in my 4 GB laptop it reaches
almost full and in my 24 GB desktop it reaches the available. I
suspected the plot not being closed during each iteration so have
given a plt.close('all') in the loop. after which it is taking a good
time to run the code which was otherwise faster until ram usage
reaches its maximum.
Is there a way to get out of this situation?. I am attaching the code
here and also the link to the data I am using. If possible kindly help.
Thanks for sharing the code. By a quick look at gen_xcorr_wnd.py, you
are generating a quite high number (about len(lons)*len(lats)) of xcorr
series over 365 lags. Here are two thoughts about why I would not
recommend using xcorr from matplotlib for this job :
1) There is an overhead in creating a plot object which is unnecessary
since you're only interested in correlation values
2) internally, plt.xcorr uses numpy.correlate
(https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/axes.py#L4319
and
https://github.com/numpy/numpy/blob/master/numpy/core/numeric.py#L731)
which is quite fast but unfortunately cannot be well tuned in terms of
the output length (only three modes : 'valid', 'same' or 'full'.
Matplotlib uses 'full' )
All this to say that when you're interested in 365 correlation values,
the internal computations takes place on (N+M-1) points (where N, M are
the length of the input vectors, i.e. 2189 if I'm right) and so about 90
% of the output is thrown away.
This being said, there is a tiny issue : I don't know a good module
which has the (x)correlation function. statsmodel has acf (aka
correlation) but I don't remember if there is crosscorrelation. For acf
has two computation modes : one based on fft, one based on
numpy.correlate which suffer from the same problem as matplotlib's xcorr
(
https://github.com/statsmodels/statsmodels/blob/master/statsmodels/tsa/stattools.py#L347)
best,
Pierre
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Re: [Matplotlib-users] cross correlation
Le 21/02/2013 17:33, Sudheer Joseph a écrit : Thank you Pierre, I will test the other options. I did not know the number limitation in case of plt.xcorr. Thanks a lot with best regards, Just for reference : http://stackoverflow.com/questions/6991471/computing-cross-correlation-function You'll see that (cross)correlation in Python a long ongoing topic. best, Pierre signature.asc Description: OpenPGP digital signature -- Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_feb___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] filled step plot?
Hi, Le 27/01/2013 00:35, Skipper Seabold a écrit : This has been asked before, and I just filed a ticket [1]. Can anyone think of a better way to do something like this? The fill_between below is pretty suboptimal IMO. I feel that adding a filled step plot would indeed be useful. Just thinking at a possible API, would it make sense to add the drawstyle argument which already exists for plot() to fill_between() ? best, Pierre signature.asc Description: OpenPGP digital signature -- Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS, MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft MVPs and experts. ON SALE this month only -- learn more at: http://p.sf.net/sfu/learnnow-d2d___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Novice question: Am I using pyplot.rgrids correctly?
Hi Andre, Le 18/12/2012 06:52, Andre' Walker-Loud a écrit : There is no mention in the docs about the treatment of negative r. The treatment is contrary to my expectations, and I would wager contrary to many peoples expectations. So at a new minimum, at the very least, the docs should make clear what is happening. I would further suggest that there are options specified by kwargs what the behavior is. The default could be the current behavior, which sounds like it is standard to some, and another option would be to complain if r 0, as I think many others would expect. I fully agree with the idea of enabling users to specify the behavior they want. I'm not sure about raising an error, but it's true that it can be pretty helpful to detect computational mistakes. The way polar plots are implemented now seems to be a generalization of usual polar coordinate mapping. Indeed, we have in [1] the following mapping (let's call it T) : T : (r, θ) ⟶ ((r-rmin) cos(θ), (r-rmin) sin(θ) ) which is parametrized by rmin. Currently this 'rmin' is get from the ymin property of axis.viewLim which can be set by ax.set_lim(ymin=...) I see this radius offsetting functionality pretty useful in some cases like drawing antenna diagrams in dB like [2]. For such a usecase, a radius (ie r-rmin) going negative could raise an error. In some other usecases like with a polar rose [3], the radius going negative (and indeed it may not be called radius anymore...) is perfectly legitimate and is the expected behavior. Also, the mapping T currently implemented in [1] supports it perfectly. In conclusion, I think matplotlib in its currently almost perfectly(*) able to deal with both use cases thanks to this parametrized polar mapping T. However, the current state of the documentation doesn't reflects this flexibility. Also, an additional keyword argument could help to specify the expected behavior, especially in term of error raising. Best, Pierre [1] https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/projections/polar.py#L61 [2] https://hamstudy.org/browse/E4_2012/E9B [3] http://en.wikipedia.org/wiki/Polar_coordinate_system#Polar_rose (*) rgrids function raises an error for negative r values (see polar.py#L537). This could be annoying for radiation patterns in dB -- 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] Novice question: Am I using pyplot.rgrids correctly?
Le 18/12/2012 11:13, Bob Dowling a écrit : Any how, the answer seems to be yes I'm using rgrids() correctly, but no I'm not using matplotlib-friendly data points. I shall adjust my values of (r,th). You don't need to change your (r,th) values. The two workarounds I see to get your version2 script work are : 1) Either call rgrids *after* plotting : subplot(111, polar=True) polar(t, r) rgrids([2,4,6]) 2) or call ylim to change the rmin parameter which tunes the radius offset : subplot(111, polar=True) rgrids([2,4,6]) polar(t, r) ylim(ymin=0) # or ylim(0,8) which looks even better in your specific case Best, Pierre signature.asc Description: OpenPGP digital signature -- 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] Novice question: Am I using pyplot.rgrids correctly?
Hi Bob, Le 17/12/2012 19:09, Bob Dowling a écrit : I am plotting a polar graph with some negative values of r. Everything goes well until I try to use rgrids(). Am I doing something wrong? I just noticed that calling rgrids *after* plotting works nicely for me: subplot(111, polar=True) polar(t, r) rgrids([2,4,6]) However, calling rgrids before plotting indeed leads to a weird situation where only half of the curve is plotted. After digging in the source code, this may relate to the `use_rmin` parameter in the PolarTransform class init (in matplotlib.projections.polar) In the tranform_non_affine method I see # line 40-42: if self._axis is not None: if self._use_rmin: rmin = self._axis.viewLim.ymin # [...] if rmin != 0: r = r - rmin mask = r 0 x[:] = np.where(mask, np.nan, r * np.cos(t)) y[:] = np.where(mask, np.nan, r * np.sin(t)) else: x[:] = r * np.cos(t) y[:] = r * np.sin(t) Maybe this the code behind the masking of half your curve, but I don't know more. Best, Pierre -- 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] Novice question: Am I using pyplot.rgrids correctly?
Le 17/12/2012 21:59, Pierre Haessig a écrit : Maybe this the code behind the masking of half your curve, but I don't know more. Looking closer at the plot, the curve is actually not masked ! Actually the rmin functionality' is activated with rmin=-2*pi so that the whole r-axis is offset by +2pi. The plot is therefore pretty consistent only it is not what you want, I guess. I don't know how to disable this radius offset functionality. Best, Pierre -- 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] Hiding axis
Hi, Le 29/11/2012 20:42, Vilson Vieira a écrit : I tried the no_clip function but it didn't worked: https://gist.github.com/4171341 I just edited your file : https://gist.github.com/4203760 I made 2 changes: * added a call to random.seed to make you code reproductible. * altered the call to set_clip_on(False). It should be called on the Line2D object returned by plot() I think it solves your clipping problem. Best, Pierre signature.asc Description: OpenPGP digital signature -- 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] mailing list archive broken ?
Hi Phil, Le 28/11/2012 12:58, Phil Elson a écrit : I've just submitted a pull request (https://github.com/matplotlib/matplotlib/pull/1540) to get the mpl docs to link to the nabble archive instead (http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html). Great ! I'm not so familiar with the nabble archive service, but at first glance it looks way better than sourceforge (beyond the fact their archiving service is pretty dead ;-) ). Best, Pierre signature.asc Description: OpenPGP digital signature -- Keep yourself connected to Go Parallel: INSIGHTS What's next for parallel hardware, programming and related areas? Interviews and blogs by thought leaders keep you ahead of the curve. http://goparallel.sourceforge.net___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] dpi
Hi,
Le 19/10/2012 06:48, Jae-Joon Lee a écrit :
Figuring out the dpi of the screen, I have no clue at this moment.
Maybe this is something a gui expert can answer.
I'm certainly not a gui expert, but as a PyQt user, I know screen
resolution is indeed Python-accessible with PyQt. (I guess other
toolkits provide their own methods)
I've made a quick script that prints the screen X and Y resolution
(requires PyQt). Reference links to PyQt API docs are included.
In my case, it's 96 dpi, and that what I use in my matplotlibrc file for
the figure.dpi property. But I use a higher value (say 150) for
savefig.dpi so that I get better resolution when saving PNG images.
I agree with Nikolaus that the dpi value for displaying figures would be
better get by the software, if possible. Maybe a property like
figure.dpi='auto' should activate such a behavior. But this would
require many code duplicates, one for each gui toolkit.
Best,
Pierre
#!/usr/bin/python
# -*- coding: UTF-8 -*-
Diplay the Screen resolution information from PyQt
References
---
http://www.riverbankcomputing.co.uk/static/Docs/PyQt4/html/qapplication.html#desktop
http://qt-project.org/doc/qt-4.8/qapplication.html#desktop
http://lists.trolltech.com/qt-interest/2008-08/thread00258-0.html
Pierre Haessig â October 2012
import sys
from PyQt4.QtGui import QApplication
app = QApplication(sys.argv)
desktop_widget = app.desktop()
print('Screen resolution:')
print('%d x %d DPI' % (desktop_widget.physicalDpiX(),
desktop_widget.physicalDpiY() ))
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Re: [Matplotlib-users] trouble switching off smoothing in imshow()
Hi, Le 09/10/2012 16:37, Warren Weckesser a écrit : That's strange. `imshow(img, interpolation='nearest')` works for me. I'm not sure I understand well the subtle difference between 'nearest' and 'none' interpolations, but I found in this commit https://github.com/jkseppan/matplotlib/commit/6923c7f04fbafa23766250d710cc6b37373c816f a PDF file (interp_nearest_vs_none.pdf) which compares the output of imshow with these two different settings. It seems there is a difference in where the boundaries of pixels are... Maybe somebody familiar with this 'nearest' and 'none' topic could edit the interpolation example ? (http://matplotlib.org/examples/pylab_examples/image_interp.html) Best, Pierre signature.asc Description: OpenPGP digital signature -- 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
[Matplotlib-users] mailing list archive broken ?
Hi, Is it just my web browser getting crazy or is there a real issue with the ML archive on sourceforge: http://sourceforge.net/mailarchive/forum.php?forum_name=matplotlib-users I only see email records until July 16th 2012 !! If there is another ML archive website in better shape, it would be worth updating the link on matplotlib.org front page (Documentation/need help? section) Best, Pierre signature.asc Description: OpenPGP digital signature -- 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] XKCD style graphs?
Hi Fernando,
Le 04/10/2012 09:16, Fernando Perez a écrit :
This would make for an awesome couple of examples for the gallery, the
mathematica solutions look really pretty cool:
http://mathematica.stackexchange.com/questions/11350/xkcd-style-graphs
I've never used Mathematica so that it's pretty difficult for me to
understand the following lines of code which I guess do the main job of
distorting the image
xkcdDistort[p_] := Module[{r, ix, iy},
r = ImagePad[Rasterize@p, 10, Padding - White];
{ix, iy} =
Table[RandomImage[{-1, 1}, ImageDimensions@r]~ImageConvolve~
GaussianMatrix[10], {2}];
ImagePad[ImageTransformation[r,
# + 15 {ImageValue[ix, #], ImageValue[iy, #]} , DataRange -
Full], -5]];
Is there somebody there that can describe this algorithm with words
(English or Python ;-)) ?
I feel like the key point is about adressing the rasterized plot image
r with some slightly randomized indices ix and iy. However, I
really don't get the step that generates these indices.
Best,
Pierre
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Re: [Matplotlib-users] XKCD style graphs?
Le 04/10/2012 14:29, Phil Elson a écrit : Damon, I love the solution! I do wonder whether we could do some quirky transform on the lines to achieve a similar result, rather than manipulating the data before plotting it. The benefit is that everything should then get randomly Xkcd-ed automatically - maybe I will save that one for a rainy day A different solution to get the shaken effect on every graphic items is the post-processing of a raster rendering of the plot. I think this is what was proposed with Mathematica though I'm really unfamiliar with its syntax One way I see to shake on image would be to use scipy.ndimage.interpolation.map_coordinates [1] to interpolate the rastered plot image with a shaken grid. This shaken grid would be a regular 2D indexing grid + some 2D noise, carefully tuned to have a bit of spatial correlation. I'm not so familiar with image processing in Python though, so there may be better solutions I'm not aware of. Best, Pierre [1] http://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.interpolation.map_coordinates.htm signature.asc Description: OpenPGP digital signature -- 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] XKCD style graphs?
Le 04/10/2012 16:03, Jason Grout a écrit :
f@r means f(r)
a~ImageConvolve~b means ImageConvolve(a,b) (~ treats an operator as infix)
Table[..., {2}] means [... for i in range(2)]
#+1 is a lambda function lambda x: x+1
So I think it goes something like:
def xkcdDistort(p):
r = ImagePad(Rasterize(p), 10, Padding='White')
(ix, iy) = [ImageConvolve(RandomImage([-1,1], ImageDimensions(r)),
GaussianMatrix(10))
for i in range(2)]
return ImagePad(ImageTransformation(r,
lambda coord: (coord[0]+15*ImageValue(ix, coord),
coord[1]+15*ImageValue(iy, coord)),
DataRange='Full'),
-5)
Thanks a lot!
It's the first time I encounter Mathematica syntax. Some of these
functional notations are not so easy to follow for my unexperienced eyes
but it makes this Mathematica code nicely compact.
So I think this code indeed resamples the rastered plot image on a
shaken coordinate grid. I kind of understand that the noise on
coordinates is spatially smoothed by a 10px Gaussian Point Spread
Function (if I understand correctly...)
Best,
Pierre
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Re: [Matplotlib-users] XKCD style graphs?
Le 04/10/2012 16:11, Michael Droettboom a écrit : Yes -- this would be a great application for the path filtering infrastructure that matplotlib has. Sounds way cooler than post-processing a raster plot image ! I'm not aware of this path filtering infrastructure. I guess it's a deeply buried facility which is not accessible in the Python user space ? Best, Pierre signature.asc Description: OpenPGP digital signature -- 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] XKCD style graphs?
Le 04/10/2012 16:54, Damon McDougall a écrit : Adding Gaussian noise to each point on a function doesn't look nice. That's why I produced a random function in Fourier space first. That way, random functions still have some sense of smoothness. Mathematica code seems to use a Gaussian *smoothing* of a uniform noise. I understand this as the spatial-domain-way (using convolution) to get some smoothness while you've taken the frequency-domain path. It's a matter of taste and I guess that both ways should be ok ! Best, Pierre signature.asc Description: OpenPGP digital signature -- 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] example of pareto chart
Hi, Just a detail : Le 26/09/2012 04:29, Paul Tremblay a écrit : percent = (np.divide(the_cumsum, the_sum)) * 100 This lines doesn't work on my computer (numpy 1.6.2) Indeed, there is a casting issue : In [2]: percent Out[2]: array([ 0, 0, 0, 0, 100]) However, using the regular / operator instead of np.divide gives the proper result: In [8]: the_cumsum/the_sum*100 Out[8]: array([ 42.10526316, 71.05263158, 90.78947368, 97.36842105, 100.]) Best, Pierre signature.asc Description: OpenPGP digital signature -- 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] example of pareto chart
Le 26/09/2012 15:25, Benjamin Root a écrit : Actually, if you are using the latest numpy (the 1.7 beta), that will also not work unless you are using py3k or did from __future__ import division. Well, actually, using np.divide will always result in integer division (this may or may not be a bug). Good point, I forgot I had set from __future__ import division some months ago in my IPython startup settings. So indeed, explicit casting to float is the safest approach. Best, Pierre signature.asc Description: OpenPGP digital signature -- 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] synchronization of ticks position in twinx plots
Le 26/09/2012 15:30, Benjamin Root a écrit : Probably could have the two axes listen for an xlim_changed event, check to see if it belongs to its twin, and update itself accordingly (without emitting). I guess you mean ylim_changed event ? (Maybe my description was not very clear, but the issue I'm having is with respective placement of yticks on left and right sides. xticks are the same, so no problem with these.) Best, Pierre signature.asc Description: OpenPGP digital signature -- 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
