在查看了一些情节之后OriginLab它将箱线图与分布曲线和原始数据结合起来，我想在 PGFPlots 中做一些类似的事情。我已经发现了一些有趣的工作这里在此基础上，我创建了以下图表。我发现图表的呈现和一些视觉效果可以改进。这里的问题是分布曲线太大。是否可以压缩它们？为了绘制这些曲线，我手动插入了域值以及各个数据集的平均值和方差。请参阅以下图表的代码：
\documentclass[border=5mm]{standalone}
\usepackage{pgfplots}
\usepackage{pgfplotstable}
\usepackage{tikz}
\usepgfplotslibrary{statistics}
\definecolor{saffron}{HTML}{FF9933}
\definecolor{brickred}{HTML}{F96302}
\definecolor{grenadier}{HTML}{D44700}
\definecolor{grandisorange}{HTML}{FFCF79}
\pgfplotsset{
jitter/.style={
x filter/.code={\pgfmathparse{\pgfmathresult+rnd*#1}}
},
jitter/.default=0.1
}
\begin{document}
\begin{tikzpicture}
%--- PLOTTING DATA ---%
\pgfplotstableread[row sep = \\]{
x data \\
1 13.7219 \\
1 10.1599 \\
1 10.7791 \\
1 9.5097 \\
1 6.6125 \\
1 9.9981 \\
1 8.1011 \\
1 11.2725 \\
1 10.105 \\
1 12.0993 \\
1 10.5794 \\
1 11.7101 \\
1 9.9047 \\
1 9.8042 \\
1 7.6605 \\
1 8.3959 \\
1 10.2814 \\
1 5.2662 \\
1 9.861 \\
1 10.2249 \\
1 9.8222 \\
1 12.3537 \\
1 8.3699 \\
1 10.6791 \\
1 9.9997 \\
1 10.1496 \\
1 10.833 \\
1 12.2066 \\
1 6.4986 \\
1 10.0193 \\
1 9.1327 \\
1 8.4368 \\
1 9.162 \\
1 7.5179 \\
1 6.7939 \\
1 7.9497 \\
1 12.8426 \\
1 5.68 \\
1 12.1573 \\
1 8.3866 \\
1 12.8471 \\
1 7.6095 \\
1 8.569 \\
1 9.6969 \\
1 10.9593 \\
1 11.5845 \\
1 9.7342 \\
1 11.3692 \\
1 12.067 \\
1 8.6466 \\
}\dataA
\pgfplotstableread[row sep = \\]{
x data \\
2 10.6485 \\
2 12.1327 \\
2 8.3516 \\
2 6.8364 \\
2 9.087 \\
2 9.7096 \\
2 11.559 \\
2 12.0554 \\
2 8.6433 \\
2 12.6913 \\
2 9.6378 \\
2 7.6447 \\
2 8.1357 \\
2 8.5953 \\
2 6.7866 \\
2 4.49 \\
2 6.3017 \\
2 15.3823 \\
2 7.0121 \\
2 13.2661 \\
2 10.2045 \\
2 8.5268 \\
2 8.4672 \\
2 8.8128 \\
2 9.659 \\
2 7.7304 \\
2 10.6145 \\
2 8.4329 \\
2 10.7728 \\
2 9.4515 \\
2 8.1012 \\
2 9.4598 \\
2 8.2576 \\
2 9.2268 \\
2 6.8337 \\
2 7.8323 \\
2 10.8946 \\
2 10.1366 \\
2 6.3889 \\
2 5.5418 \\
2 9.3919 \\
2 9.3976 \\
2 7.3574 \\
2 11.4605 \\
2 7.8299 \\
2 8.0555 \\
2 9.3363 \\
2 8.2947 \\
2 8.9302 \\
2 4.9484 \\
}\dataB
\pgfplotstableread[row sep = \\] {
x data \\
3 11.1575 \\
3 6.3445 \\
3 7.6768 \\
3 6.8726 \\
3 6.1151 \\
3 8.0012 \\
3 7.3762 \\
3 7.2804 \\
3 4.5495 \\
3 8.7247 \\
3 7.1302 \\
3 5.6378 \\
3 9.6559 \\
3 7.6132 \\
3 7.7771 \\
3 7.182 \\
3 5.9942 \\
3 7.8322 \\
3 3.3087 \\
3 7.5138 \\
3 9.9824 \\
3 7.4416 \\
3 7.5475 \\
3 8.0151 \\
3 7.9198 \\
3 6.2829 \\
3 7.3886 \\
3 4.9581 \\
3 4.36 \\
3 6.6295 \\
3 7.805 \\
3 6.5626 \\
3 7.0912 \\
3 7.6083 \\
3 6.0897 \\
3 8.5777 \\
3 4.0153 \\
3 8.4225 \\
3 7.2019 \\
3 5.1663 \\
3 3.9603 \\
3 7.5764 \\
3 7.3596 \\
3 8.2149 \\
3 6.9772 \\
3 4.9117 \\
3 6.6025 \\
3 6.8943 \\
3 7.1555 \\
3 5.7075 \\
}\dataC
\begin{axis}
[boxplot/draw direction=y,
xlabel={Classes},
ylabel={Value},
height=6cm,
ymin=0,ymax=20,
xtick={1, 2, 3},
boxplot/box extend=0.1,
boxplot/whisker extend=0.03,
every axis plot/.append style={fill,fill opacity=0.5},
cycle list={{cyan},{orange},{black}}]
\addplot+ [boxplot] table [y index = 1] {\dataA};
\addplot+ [boxplot] table [y index = 1] {\dataB};
\addplot+ [boxplot] table [y index = 1] {\dataC};
\addplot+ [jitter=0.2, only marks, mark size=.7pt, xshift = 0mm] table [y index = 1] {\dataA};
\addplot+ [jitter=0.2, only marks, mark size=.7pt, xshift = 0mm] table [y index = 1] {\dataB};
\addplot+ [jitter=0.2, only marks, mark size=.7pt, xshift = 0mm] table [y index = 1] {\dataC};
\addplot+ [domain=5.266:13.7219, fill=none, smooth] ({1+1*exp(-pow(x-9.76243,2)/3.6622)},x);
\addplot+ [domain=4.489:15.3822, fill=none, smooth] ({2+1*exp(-pow(x-8.98630,2)/4.4150)},x);
\addplot+ [domain=3.309:11.1574, fill=none, smooth] ({3+1*exp(-pow(x-6.96339,2)/2.3290)},x);
\end{axis}
\end{tikzpicture}
\end{document}
答案1
您是否在搜索以下内容？
% used PGFPlots v1.18.1
\documentclass[border=5pt]{standalone}
\usepackage{pgfplots}
\usepackage{pgfplotstable}
\usepgfplotslibrary{statistics}
\pgfplotsset{
compat=1.3,
jitter/.style={
x filter/.code={\pgfmathparse{\pgfmathresult+rnd*#1}}
},
jitter/.default=0.1
}
\begin{document}
\begin{tikzpicture}[
/pgf/declare function={
mu1 = 9.76243;
sigma1 = 3.6622;
mu2 = 8.98630;
sigma2 = 4.4150;
mu3 = 6.96339;
sigma3 = 2.3290;
factor = 1.5;
amplitude = 0.75;
},
]
\pgfplotstableread{
a b c
13.7219 10.6485 11.1575
10.1599 12.1327 6.3445
10.7791 8.35160 7.6768
9.50970 6.83640 6.8726
6.61250 9.08700 6.1151
9.99810 9.70960 8.0012
8.10110 11.5590 7.3762
11.2725 12.0554 7.2804
10.1050 8.64330 4.5495
12.0993 12.6913 8.7247
10.5794 9.63780 7.1302
11.7101 7.64470 5.6378
9.90470 8.13570 9.6559
9.80420 8.59530 7.6132
7.66050 6.78660 7.7771
8.39590 4.49000 7.182
10.2814 6.30170 5.9942
5.26620 15.3823 7.8322
9.86100 7.01210 3.3087
10.2249 13.2661 7.5138
9.82220 10.2045 9.9824
12.3537 8.52680 7.4416
8.36990 8.46720 7.5475
10.6791 8.81280 8.0151
9.99970 9.65900 7.9198
10.1496 7.73040 6.2829
10.8330 10.6145 7.3886
12.2066 8.43290 4.9581
6.49860 10.7728 4.36
10.0193 9.45150 6.6295
9.13270 8.10120 7.805
8.43680 9.45980 6.5626
9.16200 8.25760 7.0912
7.51790 9.22680 7.6083
6.79390 6.83370 6.0897
7.94970 7.83230 8.5777
12.8426 10.8946 4.0153
5.6800 10.1366 8.4225
12.1573 6.38890 7.2019
8.38660 5.54180 5.1663
12.8471 9.39190 3.9603
7.60950 9.39760 7.5764
8.56900 7.35740 7.3596
9.69690 11.4605 8.2149
10.9593 7.82990 6.9772
11.5845 8.05550 4.9117
9.73420 9.33630 6.6025
11.3692 8.29470 6.8943
12.0670 8.93020 7.1555
8.64660 4.94840 5.7075
}\data
\begin{axis}[
boxplot/draw direction=y,
xlabel={Classes},
ylabel={Value},
% height=6cm,
ymin=0,ymax=20,
xtick={1, 2, 3},
boxplot/box extend=0.1,
boxplot/whisker extend=0.03,
every axis plot/.append style={fill,fill opacity=0.5},
cycle list={{cyan},{orange},{black}},
smooth,
]
\foreach \i in {0,1,2} {
\addplot+ [boxplot] table [y index=\i] {\data};
}
\foreach \i in {0,1,2} {
\addplot+ [
jitter=0.2,
only marks,
mark size=.7pt,
] table [
x expr=\i+1,
y index=\i,
] {\data};
}
\pgfplotsinvokeforeach{1,2,3}{
\addplot+ [
draw=.!50,
fill=none,
domain=mu#1-factor*sigma#1:mu#1+factor*sigma#1,
] ({#1+amplitude*exp(-pow(x-mu#1,2)/sigma#1)},x);
}
\end{axis}
\end{tikzpicture}
\end{document}
