Skip to main content

programming - Using least independent rectangle area to separate every point


Description


I want to add vertical line and horizonal lines between data to make every point have an independent rectangle area. In addtion, every independent rectangle has a number $1,2,3,4,5,\ldots$


Algorithm



I have a method that adds a line between two points to separate them. However, it will yield many rectangles(as the Kuba's answer shows). So I add a condition that if the coordinate difference of two adjacent points is less than Δ, the line between them will be deleted. Using this condition to reduce the number of rectangles.


The ideal result would appear as shown below:


enter image description here


My method for use with a large data set


Function GridLineData (yield the coordinate of line that between two points)


GridLineData[data_List, Δ_] := Block[
{sortData, length, OriginData, deleteData},
sortData = DeleteDuplicates@(Sort@data);
length = Length@sortData;
OriginData =

Append[
Prepend[sortData, 2 sortData[[1]] - sortData[[2]]],
2 sortData[[length]] - sortData[[length - 1]]];
deleteData =
List /@ (First /@ Select[
Thread[List[Range[length - 1], Differences@sortData]],
#[[2]] < Δ &]) + 1;
Delete[Total@#/2 & /@ Partition[OriginData, 2, 1], deleteData]
]


Function GridNumber (yield the number that in one direction of point)


GridNumber[data_List, Δ_] := Block[
{length, intervalData},
length = Length@GridLineData[data, Δ] - 1;
intervalData =
Interval /@ (Partition[GridLineData[data, Δ], 2, 1]);
First@Pick[Range@length, IntervalMemberQ[intervalData, #]] & /@ data
]

Function Grid2DNumber(yield the number that in two directions of point)



Grid2DNumber[data_List, Δx_, Δy_] := Block[
{xGridNumber, yGridNumber},
xGridNumber = GridNumber[data[[All, 1]], Δx];
yGridNumber = GridNumber[data[[All, 2]], Δy];
Thread[List[xGridNumber, yGridNumber]]
]

Function FinalNumber (yield the number of point )


FinalNumber[data_List, Δx_, Δy_] := Block[
{length},

length = Length@GridLineData[data[[All, 1]], Δx] - 1;
(#[[2]] - 1) length + #[[1]] & /@
Grid2DNumber[data, Δx, Δy]
]

Function ResultShow


  ResultShow[data_List, Δx_, Δy_,imageSize_, plotRange_, axes_] := Block[ 
{xGridLineData, yGridLineData},
xGridLineData = GridLineData[data[[All, 1]], Δx];
yGridLineData = GridLineData[data[[All, 2]], Δy];

ListPlot[
data, GridLines -> {xGridLineData, yGridLineData},
GridLinesStyle -> Directive[Red, Dashed], Axes -> axes,
AxesStyle -> Arrowheads[.02], ImageSize -> imageSize,
PlotRange -> plotRange,
AxesLabel -> (Style[#, FontFamily -> Times, 15, Italic] & /@ {"x", "y"}),
Epilog -> Style[Text @@@Thread[List[ FinalNumber[data, Δx, Δy], data]], Pink]
]
]


Running


  data= {{0.028, 0.}, {-0.02, 0.}, {0.024, 0.}, {0.02, 0.}, {0.016, 0.}, {0.012, 0.},
{0.008, 0.}, {0.004, 0.}, {0., 0.}, {-0.004, 0.}, {-0.008, 0.}, {-0.012, 0.},
{-0.016, 0.}, {-0.02, 0.01}, {-0.02, 0.0025}, {-0.02, 0.005}, {-0.02, 0.0075},
{-0.044, 0.01}, {-0.020587, 0.013708}, {-0.022292, 0.017053}, {-0.024947,0.019708},
{-0.028292, 0.021413}, {-0.032, 0.022}, {-0.035708, 0.021413},{-0.039053,0.019708},
{-0.041708, 0.017053}, {-0.043413,0.013708}, {-0.044, -0.022}, {-0.044, 0.006},
{-0.044, 0.002}, {-0.044, -0.002}, {-0.044, -0.006}, {-0.044, -0.01},
{-0.044,-0.014}, {-0.044, -0.018}, {0.028, -0.022}, {-0.0395,-0.022},
{-0.035, -0.022}, {-0.0305, -0.022}, {-0.026, -0.022}, {-0.0215, -0.022},

{-0.017, -0.022}, {-0.0125, -0.022}, {-0.008,-0.022}, {-0.0035, -0.022},
{0.001, -0.022}, {0.0055, -0.022}, {0.01, -0.022}, {0.0145, -0.022},
{0.019,-0.022}, {0.0235, -0.022}, {0.028, -0.018333}, {0.028, -0.014667},
{0.028, -0.011}, {0.028, -0.0073333}, {0.028, -0.0036667}, {-0.026706, -0.010328},
{-0.034728, -0.012831}, {0.018467, -0.012376}, {-0.033672, -0.0044266},
{-0.024279,0.011578}, {0.019797, -0.0054822}, {-0.038043, -0.013453},
{0.018601, -0.015411}, {-0.032133, 0.017284}, {0.022207, -0.01367},
{0.02517,-0.015686}, {0.02067, -0.019352}, {0.02517, -0.019352},
{0.022473,-0.0077456}, {0.021436, -0.0024283}, {0.025436, -0.006095},
{0.025436, -0.0024283}, {-0.035176, -0.01611}, {-0.036746, -0.019366},

{-0.041246, -0.015366}, {-0.041246, -0.019366}, {-0.014588, -0.010238},
{-0.010401, -0.010522}, {-0.0059502, -0.010666}, {-0.001707, -0.01075},
{0.0027348, -0.010777}, {0.0069474, -0.010685}, {0.011809, -0.010525},
{0.015791, -0.010112}, {-0.031333, -0.011604}, {-0.034199, -0.0089465},
{-0.034029, 0.0073707}, {-0.019569, -0.0096572}, {-0.023365, -0.0086418},
{-0.027463, -0.0060338}, {-0.030117, -0.0044689}, {-0.036952, 0.0042677},
{-0.03296, 0.011412}, {0.019397, -0.0083713}, {0.01274, -0.0065207},
{0.004545, -0.0070253}, {-0.0039107, -0.0070327}, {-0.012341, -0.0066635},
{-0.027235, -0.014212}, {-0.017628, -0.013516},
{-0.0081969, -0.01424}, {0.00069536, -0.01441}, {0.0099993, -0.014277},

{-0.037067, -0.0056532}, {-0.032986, -0.0011756}, {-0.033618, 0.0019697},
{-0.030062, 0.0019274}, {-0.029626, 0.0091141}, {-0.020326, -0.0053632},
{-0.026776, -0.0027828}, {-0.027211, 0.00041043}, {-0.026736, 0.010116},
{-0.040682, 0.0058344}, {-0.04027, 0.00043337}, {-0.04027, -0.0035666},
{-0.040797, -0.0080866}, {-0.040797, -0.012087}, {-0.025425, 0.015104},
{-0.028425, 0.017284}, {-0.036536, 0.015541}, {-0.039536, 0.013361},
{-0.040682,0.0098344}, {0.018361, -0.0030539}, {0.014361, -0.0030539},
{0.010379, -0.0034667}, {0.0063788, -0.0034667}, {0.0021662, -0.0035585},
{-0.0018338, -0.0035585}, {-0.0060769, -0.0034742}, {-0.010077, -0.0034742},
{-0.014264, -0.0031893}, {-0.018264, -0.0031893}, {0.025037, -0.012651},

{0.025037, -0.008984}, {-0.033431, -0.018744}, {-0.028931, -0.018744},
{-0.024304, -0.017468}, {-0.019804, -0.017468}, {-0.014824, -0.018048},
{-0.010324, -0.018048}, {-0.0058733, -0.018192}, {-0.0013733, -0.018192},
{0.0030686, -0.018218}, {0.0075686, -0.018218}, {0.012431, -0.018058},
{0.016931, -0.018058}, {-0.027843, 0.0035557}, {-0.027805, 0.0060751},
{-0.022061, -0.0021739}, {-0.024557, -0.0011545}, {-0.024953, 0.0045581},
{-0.022496, 0.0010194}, {-0.022496, 0.0035194}, {-0.022458, 0.0060387},
{-0.022458, 0.0085387}, {-0.024915, 0.0070774}, {-0.024991, 0.0020387},
{-0.024122, -0.0043477}, {-0.030694, 0.0050727}, {0.014861, -0.014117},
{0.0051372, -0.014437}, {-0.0037465, -0.014383}, {-0.012647, -0.014096},

{-0.022609,-0.012936}, {-0.031862, -0.015489}, {0.022073, -0.010635},
{-0.016529, -0.0063786}, {-0.0081538, -0.0069485}, {0.00033243, -0.007117},
{0.0087576, -0.0069335}, {0.016721, -0.0061079}, {-0.037363, 0.0096687},
{-0.028557, 0.013155}, {-0.037594, -0.010173}, {-0.036541, -0.0011333},
{-0.02943, -0.0012179}, {-0.030803, -0.0077199}, {-0.038491, -0.016732},
{0.022872, -0.0048566}, {0.02234, -0.016705}};

ResultShow[data, .0005, .0005, 800, {All, All}, {False, True}]

Yield



enter image description here


Question


As can be seen from the figure,some points share the same rectangle (are not independent as I require).


So my question is how can I modify my algorithm to achieve the effect of using least independent rectangle area to separate every point.



Answer



Is this what you are after?


Manipulate[
Graphics[{Point[#]}, ImageSize -> 1000, AspectRatio -> Automatic, Frame -> True,
GridLinesStyle -> Thin,
GridLines -> Composition[

Map[ If[#[[2]] - #[[1]] < 10^δ, ## &[], Mean[#]] &, #, {2}] &,
Partition[#, 2, 1] & /@ # &,
Union /@ # &,
Transpose][#]
] &[data],
{δ, -5, 0}]

enter image description here


Comments

Popular posts from this blog

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 - 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 - 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.