我有以下箱线图:
\documentclass{standalone}
\usepackage{pgfplots}
\pgfplotsset{compat=1.8}
\usepgfplotslibrary{statistics}
\begin{document}
\begin{tikzpicture}
\begin{axis}
[
boxplot/draw direction=y,
xtick={1,2},
xticklabels={Arm,Focal}
]
\addplot+[
boxplot prepared={
lower whisker=0.1036,
lower quartile=0.1141,
median=0.1301,
upper quartile=0.2035,
upper whisker=0.4313
},
] coordinates {ArmAmpRemaining.csv};
\addplot+[
boxplot prepared={
median=0.2402,
upper quartile=0.4032,
lower quartile=0.1616,
upper whisker=4.1380,
lower whisker=0.1001
},
] coordinates {FocalAmpRemaining.csv};
\end{axis}
\end{tikzpicture}
\end{document}
这使:
我正在尝试为“Arm”添加以下附加点(ArmAmpRemaining.csv
):
0,0.013180293
0,0.018654822
0,0.059293293
0,0.01712113
0,0.020415919
0,0.002116679
0,0.024196466
0,0.030270146
0,0.003312453
0,0.005664347
0,0.000423168
0,0.016275721
0,0.076458262
0,0.011121185
0,0.002557231
0,0.021957368
0,0.005987516
0,0.012759191
0,0.00235364
0,0.015715795
0,0.018448824
0,0.047329083
0,0.009960141
0,0.000900088
0,0.057903216
0,0.039836288
0,0.086832933
0,0.004415255
0,0.008460102
0,0.069336409
0,0.032064647
0,0.069953061
0,0.003605351
0,0.092048857
0,0.015318523
0,0.070592642
0,0.035856016
0,0.014697134
0,0.030244227
0,0.047442789
0,0.008148126
0,0.006431479
0,0.048919375
0,0.036452628
0,0.04012338
0,0.012237314
0,0.041330832
0,0.006483737
0,0.086826313
0,0.019028645
0,0.014778075
0,0.019564107
0,0.090206592
0,0.041855532
0,0.02772211
0,0.001268211
0,0.016971965
0,0.018543926
0,0.009281348
0,0.003170742
0,0.002008093
0,0.066902523
0,0.006594555
0,0.020020344
0,0.043824041
0,0.022989584
0,0.025013343
0,0.000741184
0,0.003801368
0,0.014534248
0,0.020886245
0,0.074713821
0,0.014659161
0,0.067094868
0,0.06916922
0,0.049128461
0,0.00224711
0,0.041028905
0,0.023492552
0,0.088936758
0,0.013947374
0,0.042410699
0,0.058028193
0,0.052355981
0,0.062576054
0,0.014741442
0,0.002988748
0,0.020011129
对于 Focal ( FocalAmpRemaining.csv
) 也类似:
0,0.085550433
0,0.021287249
0,0.054641992
0,0.089767814
0,0.054300597
0,0.085360625
0,0.013180293
0,0.037799388
0,0.020739184
0,0.080429543
0,0.025299929
0,0.087961644
0,0.038837295
0,0.055432935
0,0.018654822
0,0.085538635
0,0.046548923
0,0.019007399
0,0.075910383
0,0.009710866
0,0.09294269
0,0.046695181
0,0.098408808
0,0.02654031
0,0.065928833
0,0.059293293
0,0.01712113
0,0.020415919
0,0.08186054
0,0.007369306
0,0.049673824
0,0.006224083
0,0.075212939
0,0.033084059
0,0.092996841
0,0.090102422
0,0.073958473
0,0.093766407
0,0.002116679
0,0.071691835
0,0.024196466
0,0.032544779
0,0.030270146
0,0.027683596
0,0.023143642
0,0.042322269
0,0.047166157
0,0.053851801
0,0.003312453
0,0.005664347
0,0.000423168
0,0.06610637
0,0.016275721
0,0.076458262
0,0.011121185
0,0.065921039
0,0.009776751
0,0.002557231
0,0.033379799
0,0.021957368
0,0.005987516
0,0.088669241
0,0.021519103
0,0.084979332
0,0.013585773
0,0.012759191
0,0.068397095
0,0.007899124
0,0.00235364
0,0.057863429
0,0.047545926
0,0.015715795
0,0.075272089
0,0.086902272
0,0.018448824
0,0.050769638
0,0.096159283
0,0.016819629
0,0.067519794
0,0.047725709
0,0.067942387
0,0.057542672
0,0.052908134
0,0.047329083
0,0.065360478
0,0.061350919
0,0.009960141
0,0.081348959
0,0.000900088
0,0.057903216
0,0.001928722
0,0.039836288
0,0.086832933
0,0.029412913
0,0.004415255
0,0.008460102
0,0.069336409
0,0.096641894
0,0.015396835
0,0.051885018
0,0.06118519
0,0.089504112
0,0.032064647
0,0.069953061
0,0.064568555
0,0.003605351
0,0.088598445
0,0.056245564
0,0.092048857
0,0.015318523
0,0.069664021
0,0.035951796
0,0.070592642
0,0.035856016
0,0.014697134
0,0.085998177
0,0.041507544
0,0.01402091
0,0.072040322
0,0.030244227
0,0.071699179
0,0.069420599
0,0.002815073
0,0.055009952
0,0.047442789
0,0.078520293
0,0.028536493
0,0.052940587
0,0.007882633
0,0.07580906
0,0.041393841
0,0.008148126
0,0.006431479
0,0.048919375
0,0.036452628
0,0.04012338
0,0.012237314
0,0.07907484
0,0.008461222
0,0.049268829
0,0.060536225
0,0.045610604
0,0.082517399
0,0.049608911
0,0.036472716
0,0.099066543
0,0.045945102
0,0.080169325
0,0.020654383
0,0.049130683
0,0.040526318
0,0.095743794
0,0.026422095
0,0.041330832
0,0.063104271
0,0.006483737
0,0.062140056
0,0.030844789
0,0.023401539
0,0.043798984
0,0.061601659
0,0.049490966
0,0.012323039
0,0.086826313
0,0.019028645
0,0.06160966
0,0.014778075
0,0.071077197
0,0.021983916
0,0.072999043
0,0.019564107
0,0.090206592
0,0.041855532
0,0.02772211
0,0.065877017
0,0.057188811
0,0.001268211
0,0.016971965
0,0.078502029
0,0.091118747
0,0.021846784
0,0.018543926
0,0.086796692
0,0.068826988
0,0.011705105
0,0.036299224
0,0.093116166
0,0.005116428
0,0.027833205
0,0.096625889
0,0.023425179
0,0.078619949
0,0.09336779
0,0.039122998
0,0.009281348
0,0.092557996
0,0.023579705
0,0.075467203
0,0.003170742
0,0.070494972
0,0.004068335
0,0.028013677
0,0.004590777
0,0.024894254
0,0.093571532
0,0.002008093
0,0.066902523
0,0.077024886
0,0.006594555
0,0.085060835
0,0.045240668
0,0.095727148
0,0.075107286
0,0.080514386
0,0.0575758
0,0.020020344
0,0.07362298
0,0.043824041
0,0.093785088
0,0.022989584
0,0.023220356
0,0.025013343
0,0.000741184
0,0.077797578
0,0.003801368
0,0.049083637
0,0.041199701
0,0.014534248
0,0.053193776
0,0.074713821
0,0.020886245
0,0.014659161
0,0.067094868
0,0.071375136
0,0.018604772
0,0.076710985
0,0.030768376
0,0.06916922
0,0.09365444
0,0.099069967
0,0.049128461
0,0.075625922
0,0.054247524
0,0.054459123
0,0.024679431
0,0.082286568
0,0.076042953
0,0.012189659
0,0.075097804
0,0.078496496
0,0.00224711
0,0.083666214
0,0.011158408
0,0.056916104
0,0.028883125
0,0.088824902
0,0.044909726
0,0.041028905
0,0.088936758
0,0.023492552
0,0.067377686
0,0.042743562
0,0.042442277
0,0.041327253
0,0.079577345
0,0.022377781
0,0.009780663
0,0.014759748
0,0.048864589
0,0.041382159
0,0.000318542
0,0.058058946
0,0.06808456
0,0.043493531
0,0.077937487
0,0.014574014
0,0.034914886
0,0.094631554
0,0.017146828
0,0.078749977
0,0.021339547
0,0.047544752
0,0.030539233
0,0.010218377
0,0.077065509
0,0.014030184
0,0.013947374
0,0.077556142
0,0.042410699
0,0.043024351
0,0.063273571
0,0.094216188
0,0.058028193
0,0.052355981
0,0.032126007
0,0.056048374
0,0.097246552
0,0.03730658
0,0.034912452
0,0.099210585
0,0.062576054
0,0.00853937
0,0.014741442
0,0.036697018
0,0.002988748
0,0.067353025
0,0.047356069
0,0.028381496
0,0.083497329
0,0.035051893
0,0.020011129
我尝试调用.csv
中的每个文件coordinates{}
,但不起作用。我还尝试在 1.5 和 0.1 处添加两条深绿色的水平虚线。非常感谢社区的反馈!谢谢!
编辑:
\documentclass{standalone}
\usepackage{pgfplots}
\pgfplotsset{compat=1.8}
\usepgfplotslibrary{statistics}
\begin{document}
\begin{tikzpicture}
\begin{axis}[y=1cm]
\addplot+[boxplot]
table[col sep=comma] {FocalAmp.csv};
\end{axis}
\end{tikzpicture}
\end{document}
答案1
coordinates {...}
需要手动坐标列表,而不是文件名。.csv
可以通过 加载文件table[col sep=comma] {file.csv}
。
深绿色线条可以用 绘制\draw
。坐标(尤其是值y
)可通过坐标系获得axis cs:
,左右边界可通过节点获得current axis
。
完整示例:
\documentclass{standalone}
\usepackage[svgnames]{xcolor}
\usepackage{pgfplots}
\pgfplotsset{compat=1.8}
\usepgfplotslibrary{statistics}
\begin{document}
\begin{tikzpicture}
\begin{axis}
[
boxplot/draw direction=y,
xtick={1,2},
xticklabels={Arm,Focal}
]
% Horizontal dark green lines
\draw[DarkGreen, dashed]
(axis cs:0, 1.5) coordinate (tmp)
(current axis.west |- tmp) -- (current axis.east |- tmp)
(axis cs:0, 0.1) coordinate (tmp)
(current axis.west |- tmp) -- (current axis.east |- tmp)
;
\addplot+[
boxplot prepared={
lower whisker=0.1036,
lower quartile=0.1141,
median=0.1301,
upper quartile=0.2035,
upper whisker=0.4313
},
] table[col sep=comma] {ArmAmpRemaining.csv};
\addplot+[
boxplot prepared={
median=0.2402,
upper quartile=0.4032,
lower quartile=0.1616,
upper whisker=4.1380,
lower whisker=0.1001
},
] table[col sep=comma] {FocalAmpRemaining.csv};
\end{axis}
\end{tikzpicture}
\end{document}
包还可以通过而不是pgfplots
自动计算箱线图的值。还可以启用平均值计算。异常值会自动识别和显示。以下示例使用与问题相同的数据(其余点作为完整数据集),只是它将两个点(0,0.105)和(0,0.11)添加到。该示例还将计算出的值打印到屏幕和日志文件中。特殊坐标系如或可用于注释箱线图,请参阅boxplot
boxplot prepared
ArmAmpRemaining.csv
boxplot box cs:
boxplot whisker cs:
手动的了解pgfplots
详情。
\documentclass{standalone}
\usepackage{pgfplots}
\pgfplotsset{compat=1.12}
\usepgfplotslibrary{statistics}
\newcommand*{\printboxplotdata}{%
\pgfextra{%
\typeout{Box plot values:}%
\printboxplotvalue{lower whisker}%
\printboxplotvalue{lower quartile}%
\printboxplotvalue{median}%
\printboxplotvalue{upper quartile}%
\printboxplotvalue{upper whisker}%
\printboxplotvalue{average}%
\typeout{}%
}%
}
\newcommand*{\printboxplotvalue}[1]{%
\typeout{* #1 = \boxplotvalue{#1}}%
}
\begin{document}
\begin{tikzpicture}
\begin{axis}
[
boxplot/draw direction=y,
xtick={1,2},
xticklabels={Arm,Focal}
]
\addplot+[
boxplot={average=auto},
] table[col sep=comma] {ArmAmpRemaining.csv}
\printboxplotdata
;
\addplot+[
boxplot={average=auto},
] table[col sep=comma] {FocalAmpRemaining.csv}
\printboxplotdata
;
\end{axis}
\end{tikzpicture}
\end{document}
计算值为:
Box plot values:
* lower whisker = 4.23168e-4
* lower quartile = 9.4510461e-3
* median = 2.0015736e-2
* upper quartile = 4.7414362e-2
* upper whisker = 9.2048857e-2
* average = 3.1158e-2
Box plot values:
* lower whisker = 3.18542e-4
* lower quartile = 2.0696782e-2
* median = 4.6548923e-2
* upper quartile = 7.2519682e-2
* upper whisker = 9.9210585e-2
* average = 4.6918e-2