Matlab绘制散点密度图
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2022-03-10 16:02:14
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关于使用Matlab绘制散点密度图,以前有一些博客,比如MATLAB实例:散点密度图,这里面使用了Matlab社区中的scatplot.m文件,代码长度(含注释)为226行。
下图为博客MATLAB实例:散点密度图中的输出结果,其所用数据源于MATLAB中“fitgmdist”的用法及其GMM聚类算法。
在本文中所用数据同样源于MATLAB中“fitgmdist”的用法及其GMM聚类算法,或者参考文中末尾部分,由于数据共有1000条,在示例代码中数据的省略部分用…代替。
主要的思路为:
读入数据(此处只取前两列作为X和Y,第三列未考虑) -> 设置搜索半径 -> 记录目标点所在的半径内的点数 -> 使用scatter函数进行显示,参考代码如下:
%%
clc;
clear;
%%
XYZ = [
-0.752713846442762 2.48140797998545 1
-0.798625575507672 2.14835001132099 1
2.82002920206994 1.97084621196340 1
0.913856576539988 2.24942313999122 1
1.57243525115195 2.68322568351427 1
0.241170005783610 1.89791938743627 1
2.10634746115858 2.20631449410867 1
1.61173455443266 2.69163655587553 1
1.39436249281445 1.28104472307183 1
1.65267727628557 1.85771163664832 1
...
0.580602656916380 -1.38403756935533 2
-1.27308082491469 -2.20514718975902 2
-2.92790668922674 -1.98439888443983 2
-1.62181912776895 -0.851506362212275 2
];
datamin = min(min(XYZ(:, 1)), min(XYZ(:, 2)));
datamax = max(max(XYZ(:, 1)), max(XYZ(:, 2)));
datamin = floor(datamin);
datamax = ceil(datamax);
Length = 600;
Width = 600;
axismin = datamin;
axismax = datamax;
% 绘制密度图
XYZ(:, 3) = XYZ(:, 3) - XYZ(:, 3);
sizeXYZ = size(XYZ);
searchR = 1.0;
for i = 1 : sizeXYZ(1)
index_i = find(XYZ(:, 1) > XYZ(i, 1) - searchR & XYZ(:, 1) < XYZ(i, 1) + searchR ...
& XYZ(:, 2) > XYZ(i, 2) - searchR & XYZ(:, 2) < XYZ(i, 2) + searchR);
sizeIndexI = size(index_i);
XYZ(i, 3) = sizeIndexI(1);
end
[sortXYZ, sortI] = sort(XYZ(:, 3));
scatter(XYZ(sortI, 1), XYZ(sortI, 2), [], XYZ(sortI, 3), 'filled');
hold on;
axis([axismin axismax axismin axismax]);
gc = get(gca);
set(gcf, 'position', [300, 100, Length, Width]);
此处的搜索为矩形搜索,大家可以根据自己的需求自行修改,绘制的结果如下:
参考的数据如下:
-0.752713846442762 2.48140797998545 1
-0.798625575507672 2.14835001132099 1
2.82002920206994 1.97084621196340 1
0.913856576539988 2.24942313999122 1
1.57243525115195 2.68322568351427 1
0.241170005783610 1.89791938743627 1
2.10634746115858 2.20631449410867 1
1.61173455443266 2.69163655587553 1
1.39436249281445 1.28104472307183 1
1.65267727628557 1.85771163664832 1
0.0927741368750946 2.00698799954306 1
2.79887910552062 1.70868183551872 1
0.652907219449091 1.88702134773695 1
3.43327629572431 2.17571612839302 1
1.96527202098605 2.34069549818768 1
0.867813825335363 1.68534433959204 1
2.08252259376894 1.02114736190308 1
0.613863159235077 2.17081564512242 1
0.399552396654452 2.11342763957560 1
2.91186118166440 1.82639334702902 1
0.377524852838774 3.08573945644000 1
1.98881806018168 1.98460069084178 1
2.68223790603780 1.96134300697451 1
-0.622058850926772 3.30007822155342 1
0.275231442237888 1.59279139683080 1
3.34643957013717 1.68055674830698 1
1.03601109129843 2.70541249651070 1
0.752332013138056 2.49601620599903 1
0.508824726005269 2.57436514443626 1
1.73027562632102 2.19502286037081 1
-0.713230300478002 3.73262960861479 1
0.00814731258125789 1.52233440802986 1
4.86084534117603 2.64339300870922 1
2.82851799598685 1.79094004967764 1
0.725784406602703 1.32609248276320 1
0.147485590657029 1.49033710171378 1
0.601129894478657 3.58795933263211 1
1.32767044246750 1.73683867424831 1
1.27723837775742 2.62061783710240 1
0.240726647338080 1.43127112737987 1
0.387110343064517 2.39576239976627 1
-0.735171242460893 2.21884994425795 1
0.821208540380224 2.28230651108960 1
2.84910757299470 2.40958045875721 1
-0.00305938218238255 1.36758622169689 1
0.664256129846708 1.22550082896155 1
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2.00786623874121 2.03129722636611 1
1.20272622506596 2.22475373629028 1
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2.39750117925196 1.84040401876970 1
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0.591444584760838 2.29854661364821 1
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1.86043373148875 2.20777177264008 1
0.100606202686330 3.21045350847405 1
2.53445397100630 0.854302259627375 1
1.39168420124415 1.49609940831950 1
1.93929865340817 1.15181790512326 1
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0.646252982052485 1.03986431564848 1
1.19673169055003 1.93448155511090 1
1.12984878643876 2.22883744483371 1
4.02666426647567 1.86649614448613 1
1.27117265547696 2.03774514826000 1
1.00533765244964 1.17061188123361 1
-0.414741919400961 2.28828102447677 1
0.495317556413179 1.83288455064957 1
2.76823223857300 2.97934893222715 1
1.08058855707478 2.26487370266768 1
1.38546325331279 1.40278788558597 1
1.52167644900484 2.69183023331115 1
1.67505702182493 2.85222287490608 1
4.10199034200796 2.18231282334728 1
2.40054022033848 2.07878116194682 1
1.49836399169312 1.92754270979332 1
1.52768214037169 0.604144369658773 1
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3.08788315084484 2.44977421952063 1
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1.77118120808653 1.75664778049838 1
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3.52677560506185 2.36946900535883 1
1.02163690286654 2.47962254560261 1
1.41689244102377 2.38217492483121 1
1.13691599064491 0.957013586442155 1
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0.416289186862122 1.39483608724636 1
-0.0282160104049050 2.45786458707630 1
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1.24447082399573 3.12144145109146 1
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