Skip to main content

combining and comparing lists


I have 2 lists (of lists), where most of the contained lists match. That is, the lists contained in list1 mostly match the lists contained in list2. In this simplified example each of the inner lists has 3 elements. When a sub list of list1 and a sublist of list2 have their 1st 2 values the same, I want to compare the 3rd value. I have another list, "problems", that contains the first 2 elements of each sub list that creates a problem for me. My sample code follows:


problems = {{1, 2}, {1, 3}, {2, 2}};
list1 = {{1, 2, 12}, {1, 3, 13}, {1, 2, 14}, {4, 5, 11}};
list2 = {{1, 2, 22}, {1, 3, 23}, {2, 2, 26}, {4, 5, 11}, {1, 3, 13}};

want = {{1, 2, {12, 14}, {22}}, {1, 3, {13}, {13, 23}}, {2, 2, {}, {26}}};


list1a = Flatten[(Cases[list1, {#[[1]], #[[2]], __}] & /@ problems) /. {} -> {{}}, 1]
list1b = GatherBy[list1a, If[# == {}, True, {#[[1]], #[[2]]}] &]

The list labelled "want" is what I'd like to get at the end of this. Actually, I just want to have something that will contain those 1st two elements, and then show the comparison of the 3rd elements. The GatherBy seems to be getting me closer to what I want, but I can't figure out how to correctly group it so that it looks like "want". I'm hoping that someone can suggest a better way to approach this.



Answer



Function[{x, y}, {x, y, Sequence @@ (Last /@ Cases[#, {x, y, __}] & /@ {list1, list2})}] @@@ problems
(*
{{1, 2, {12, 14}, {22}}, {1, 3, {13}, {23, 13}}, {2, 2, {}, {26}}}
*)

Comments

Popular posts from this blog

plotting - Plot 4D data with color as 4th dimension

I have a list of 4D data (x position, y position, amplitude, wavelength). I want to plot x, y, and amplitude on a 3D plot and have the color of the points correspond to the wavelength. I have seen many examples using functions to define color but my wavelength cannot be expressed by an analytic function. Is there a simple way to do this? Answer Here a another possible way to visualize 4D data: data = Flatten[Table[{x, y, x^2 + y^2, Sin[x - y]}, {x, -Pi, Pi,Pi/10}, {y,-Pi,Pi, Pi/10}], 1]; You can use the function Point along with VertexColors . Now the points are places using the first three elements and the color is determined by the fourth. In this case I used Hue, but you can use whatever you prefer. Graphics3D[ Point[data[[All, 1 ;; 3]], VertexColors -> Hue /@ data[[All, 4]]], Axes -> True, BoxRatios -> {1, 1, 1/GoldenRatio}]

plotting - Filling between two spheres in SphericalPlot3D

Manipulate[ SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, Mesh -> None, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], {n, 0, 1}] I cant' seem to be able to make a filling between two spheres. I've already tried the obvious Filling -> {1 -> {2}} but Mathematica doesn't seem to like that option. Is there any easy way around this or ... Answer There is no built-in filling in SphericalPlot3D . One option is to use ParametricPlot3D to draw the surfaces between the two shells: Manipulate[ Show[SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], ParametricPlot3D[{ r {Sin[t] Cos[1.5 Pi], Sin[t] Sin[1.5 Pi], Cos[t]}, r {Sin[t] Cos[0 Pi], Sin[t] Sin[0 Pi], Cos[t]}}, {r, 1, 2 - n}, {t, 0, Pi}, PlotStyle -> Yellow, Mesh -> {2, 15}]], {n, 0, 1}]

plotting - Mathematica: 3D plot based on combined 2D graphs

I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1....