# XKCD style graphs?

27 messages
12
Open this post in threaded view
|
Report Content as Inappropriate

## XKCD style graphs?

 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-graphsThe matlab and R version not quite so much, still for reference: http://stackoverflow.com/questions/12701841/xkcd-style-graphs-in-matlabhttp://stackoverflow.com/questions/12675147/xkcd-style-graphs-in-rAny takers? f ------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Open this post in threaded view
|
Report Content as Inappropriate

## Re: 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-graphsI'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 ------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users signature.asc (918 bytes) Download Attachment
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 On Thu, Oct 4, 2012 at 10:02 AM, Pierre Haessig <[hidden email]> wrote: > 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 > > > ------------------------------------------------------------------------------ > 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 > [hidden email] > https://lists.sourceforge.net/lists/listinfo/matplotlib-users> I believe this is in your interests: http://i.imgur.com/5XwRO.pngHere's the code: https://gist.github.com/3832579Disclaimer: The code is ugly; don't judge me. Also, I installed the Humor Sans font but I couldn't get mpl to find it. Oh well :) -- Damon McDougall http://www.damon-is-a-geek.comB2.39 Mathematics Institute University of Warwick Coventry West Midlands CV4 7AL United Kingdom ------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 On Thu, Oct 4, 2012 at 10:44 AM, Damon McDougall <[hidden email]> wrote: > On Thu, Oct 4, 2012 at 10:02 AM, Pierre Haessig > <[hidden email]> wrote: >> 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 > > I believe this is in your interests: http://i.imgur.com/5XwRO.png> > Here's the code: https://gist.github.com/3832579> > Disclaimer: The code is ugly; don't judge me. Also, I installed the > Humor Sans font but I couldn't get mpl to find it. Oh well :) I got the font working :) http://i.imgur.com/Dxemm.png-- Damon McDougall http://www.damon-is-a-geek.comB2.39 Mathematics Institute University of Warwick Coventry West Midlands CV4 7AL United Kingdom ------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 Nice challenge Fernando! 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.... Thanks for posting! On 4 October 2012 11:31, Damon McDougall <[hidden email]> wrote: > On Thu, Oct 4, 2012 at 10:44 AM, Damon McDougall > <[hidden email]> wrote: >> On Thu, Oct 4, 2012 at 10:02 AM, Pierre Haessig >> <[hidden email]> wrote: >>> 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 >> >> I believe this is in your interests: http://i.imgur.com/5XwRO.png>> >> Here's the code: https://gist.github.com/3832579>> >> Disclaimer: The code is ugly; don't judge me. Also, I installed the >> Humor Sans font but I couldn't get mpl to find it. Oh well :) > > I got the font working :) http://i.imgur.com/Dxemm.png> > -- > Damon McDougall > http://www.damon-is-a-geek.com> B2.39 > Mathematics Institute > University of Warwick > Coventry > West Midlands > CV4 7AL > United Kingdom > > ------------------------------------------------------------------------------ > 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 > [hidden email] > https://lists.sourceforge.net/lists/listinfo/matplotlib-users------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 In reply to this post by Pierre Haessig On 10/4/12 4:02 AM, Pierre Haessig wrote: > 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 ;-)) ? 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, Jason ------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 In reply to this post by Phil Elson-2 Yes -- this would be a great application for the path filtering infrastructure that matplotlib has. Mike On 10/04/2012 08:29 AM, Phil Elson wrote: > Nice challenge Fernando! > > 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.... > > Thanks for posting! > > > > On 4 October 2012 11:31, Damon McDougall <[hidden email]> wrote: >> On Thu, Oct 4, 2012 at 10:44 AM, Damon McDougall >> <[hidden email]> wrote: >>> On Thu, Oct 4, 2012 at 10:02 AM, Pierre Haessig >>> <[hidden email]> wrote: >>>> 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 >>> I believe this is in your interests: http://i.imgur.com/5XwRO.png>>> >>> Here's the code: https://gist.github.com/3832579>>> >>> Disclaimer: The code is ugly; don't judge me. Also, I installed the >>> Humor Sans font but I couldn't get mpl to find it. Oh well :) >> I got the font working :) http://i.imgur.com/Dxemm.png>> >> -- >> Damon McDougall >> http://www.damon-is-a-geek.com>> B2.39 >> Mathematics Institute >> University of Warwick >> Coventry >> West Midlands >> CV4 7AL >> United Kingdom >> >> ------------------------------------------------------------------------------ >> 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 >> [hidden email] >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users> ------------------------------------------------------------------------------ > 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 > [hidden email] > https://lists.sourceforge.net/lists/listinfo/matplotlib-users------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 In reply to this post by Phil Elson-2 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------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users signature.asc (918 bytes) Download Attachment
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 In reply to this post by Michael Droettboom-3 This is just too cool of an idea to pass up -- I'm going to see if I can put together a PR that does this using the C++ path filtering stuff so it would be available everywhere. Mike On 10/04/2012 10:11 AM, Michael Droettboom wrote: > Yes -- this would be a great application for the path filtering > infrastructure that matplotlib has. > > Mike > > On 10/04/2012 08:29 AM, Phil Elson wrote: >> Nice challenge Fernando! >> >> 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.... >> >> Thanks for posting! >> >> >> >> On 4 October 2012 11:31, Damon McDougall <[hidden email]> wrote: >>> On Thu, Oct 4, 2012 at 10:44 AM, Damon McDougall >>> <[hidden email]> wrote: >>>> On Thu, Oct 4, 2012 at 10:02 AM, Pierre Haessig >>>> <[hidden email]> wrote: >>>>> 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 >>>> I believe this is in your interests: http://i.imgur.com/5XwRO.png>>>> >>>> Here's the code: https://gist.github.com/3832579>>>> >>>> Disclaimer: The code is ugly; don't judge me. Also, I installed the >>>> Humor Sans font but I couldn't get mpl to find it. Oh well :) >>> I got the font working :) http://i.imgur.com/Dxemm.png>>> >>> -- >>> Damon McDougall >>> http://www.damon-is-a-geek.com>>> B2.39 >>> Mathematics Institute >>> University of Warwick >>> Coventry >>> West Midlands >>> CV4 7AL >>> United Kingdom >>> >>> ------------------------------------------------------------------------------ >>> 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 >>> [hidden email] >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users>> ------------------------------------------------------------------------------ >> 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 >> [hidden email] >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users> > ------------------------------------------------------------------------------ > 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 > [hidden email] > https://lists.sourceforge.net/lists/listinfo/matplotlib-users------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 In reply to this post by Michael Droettboom-3 On Thu, Oct 4, 2012 at 10:11 AM, Michael Droettboom wrote: Yes -- this would be a great application for the path filtering infrastructure that matplotlib has. Mike I agree with this idea.  However, I don't think the code is set up to allow for user-defined path filters.  Maybe an AGG filter would be sufficient in the short-term? Ben Root ------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 In reply to this post by Jason Grout-5 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 ------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users signature.asc (918 bytes) Download Attachment
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 In reply to this post by Michael Droettboom-3 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 ------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users signature.asc (918 bytes) Download Attachment
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 In reply to this post by Michael Droettboom-3 On 10/4/12 9:11 AM, Michael Droettboom wrote: > Yes -- this would be a great application for the path filtering > infrastructure that matplotlib has. Is that the same as the path effects features, like http://matplotlib.org/examples/pylab_examples/patheffect_demo.html ? Thanks, Jason ------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 In reply to this post by Pierre Haessig On Thu, Oct 4, 2012 at 10:39 AM, Pierre Haessig wrote: 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 That is correct.  In path.so, there are some functions that are explicitly called to do any cleanup and simplification on the paths.  We would have to do some work to allow for user-defined functions.  I once considered doing this back in the beginning of summer to address some contouring "bugs" I encountered, but found other, more simple solutions. Cheers!Ben Root ------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 In reply to this post by Jason Grout-5 On Thu, Oct 4, 2012 at 10:41 AM, Jason Grout wrote: On 10/4/12 9:11 AM, Michael Droettboom wrote: > Yes -- this would be a great application for the path filtering > infrastructure that matplotlib has. Is that the same as the path effects features, like http://matplotlib.org/examples/pylab_examples/patheffect_demo.html ? Thanks, Jason Slightly different.  That is through the AGG layer, so vector-based backends wouldn't benefit, IIRC.  That being said, this is probably the better place to implement this (maybe this is what Mike was thinking of?). Ben Root ------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 In reply to this post by Pierre Haessig On Thu, Oct 4, 2012 at 3:35 PM, Pierre Haessig <[hidden email]> wrote: > 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 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. -- Damon McDougall http://www.damon-is-a-geek.comB2.39 Mathematics Institute University of Warwick Coventry West Midlands CV4 7AL United Kingdom ------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 In reply to this post by Benjamin Root-2 On 10/04/2012 10:29 AM, Benjamin Root wrote: On Thu, Oct 4, 2012 at 10:11 AM, Michael Droettboom wrote: Yes -- this would be a great application for the path filtering infrastructure that matplotlib has. Mike I agree with this idea.  However, I don't think the code is set up to allow for user-defined path filters.  Maybe an AGG filter would be sufficient in the short-term? We have a complete set of path filters in C++ in path_converters.h that are used by most of the backends.  It's not really user-defined because it can't be extended from Python, but it should be sufficient to put it in there and have it work everywhere. Mike ------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 In reply to this post by Damon McDougall 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 ------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users signature.asc (918 bytes) Download Attachment
Open this post in threaded view
|
Report Content as Inappropriate

## Re: XKCD style graphs?

 In reply to this post by Pierre Haessig Le 04/10/2012 16:35, Pierre Haessig a écrit : > 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...) I've implemented this processing in a tiny "image_shake" script. https://gist.github.com/3834536A nice occasion to learn how to use some scipy image processing functions... I've attached the before/after images because I didn't manage to put them in the Gist (it's not a plot image but gives the idea of line shaking). Now, I think it's unfortunately outside the frame of Fernando's challenge, because this script uses zero matplotlib methods!! Best, Pierre ------------------------------------------------------------------------------ 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 [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users grid_image.png (4K) Download Attachment grid_image-shaken.png (29K) Download Attachment signature.asc (918 bytes) Download Attachment