我正在尝试将 3d 数据绘制为表面图。但结果不是我想要的结果。
以下是代码：
\documentclass[border=5mm]{standalone}
\usepackage{pgfplots}
\pgfplotsset{compat=1.16}
\begin{document}
\begin{tikzpicture}
\begin{axis} [
view={-37.5}{30},
]
\addplot3 [
surf,
z buffer=sort,
mesh/rows=17,
] file {input-file.txt};
\end{axis}
\end{tikzpicture}
\end{document}
这些是我正在使用的要点（文件input-file.txt）：
0.34 0.6 0.16784845236609
0.34 0.599039264020162 0.449340944725675
0.34 0.596193976625564 1.10126818451041
0.34 0.591573480615127 1.45934780647924
0.34 0.585355339059327 1.0246427812154
0.34 0.57777851165098 0.571065984297396
0.34 0.569134171618255 1.07623712852824
0.34 0.559754516100807 1.12465629098543
0.34 0.55 0.787500509369331
0.34 0.540245483899194 1.12015409939905
0.34 0.530865828381746 1.13259283140334
0.34 0.52222148834902 0.568492686096429
0.34 0.514644660940673 1.10089553976541
0.34 0.508426519384873 1.5714479856616
0.34 0.503806023374436 1.22657729591635
0.34 0.500960735979838 0.513403122109212
0.34 0.5 0.169436938727958
0.339231411216129 0.6 0.181945862374656
0.339231411216129 0.599039264020162 0.415596394227327
0.339231411216129 0.596193976625564 1.05905994097856
0.339231411216129 0.591573480615127 1.35089764646065
0.339231411216129 0.585355339059327 1.02142540815158
0.339231411216129 0.57777851165098 0.525248744530274
0.339231411216129 0.569134171618255 1.08086679483286
0.339231411216129 0.559754516100807 1.07774810506582
0.339231411216129 0.55 0.775245573056729
0.339231411216129 0.540245483899194 1.10645466417185
0.339231411216129 0.530865828381746 1.12132946945134
0.339231411216129 0.52222148834902 0.572233527727084
0.339231411216129 0.514644660940673 1.08280074332495
0.339231411216129 0.508426519384873 1.55214263040998
0.339231411216129 0.503806023374436 1.20536251342408
0.339231411216129 0.500960735979838 0.498414219839597
0.339231411216129 0.5 0.167746004932493
0.336955181300451 0.6 0.212283753077523
0.336955181300451 0.599039264020162 0.409885790877354
0.336955181300451 0.596193976625564 1.06414855662836
0.336955181300451 0.591573480615127 1.36645840364238
0.336955181300451 0.585355339059327 0.984877000623279
0.336955181300451 0.57777851165098 0.491421587678596
0.336955181300451 0.569134171618255 1.06777824295722
0.336955181300451 0.559754516100807 1.12418525713356
0.336955181300451 0.55 0.784602078301413
0.336955181300451 0.540245483899194 1.09206305863632
0.336955181300451 0.530865828381746 1.12727171271332
0.336955181300451 0.52222148834902 0.541731176102686
0.336955181300451 0.514644660940673 1.03952020298478
0.336955181300451 0.508426519384873 1.51952420499077
0.336955181300451 0.503806023374436 1.17198988017635
0.336955181300451 0.500960735979838 0.442130587671382
0.336955181300451 0.5 0.221774604774455
0.333258784492102 0.6 0.312285861882379
0.333258784492102 0.599039264020162 0.42503343537243
0.333258784492102 0.596193976625564 0.990297876119652
0.333258784492102 0.591573480615127 1.33413426793052
0.333258784492102 0.585355339059327 0.96516568266834
0.333258784492102 0.57777851165098 0.495854140923719
0.333258784492102 0.569134171618255 1.07228658024174
0.333258784492102 0.559754516100807 1.07288962919032
0.333258784492102 0.55 0.724455943668244
0.333258784492102 0.540245483899194 1.07068402091054
0.333258784492102 0.530865828381746 1.11917038784505
0.333258784492102 0.52222148834902 0.54030779515551
0.333258784492102 0.514644660940673 0.997412760947773
0.333258784492102 0.508426519384873 1.45170577137429
0.333258784492102 0.503806023374436 1.12414009899353
0.333258784492102 0.500960735979838 0.424631468557648
0.333258784492102 0.5 0.281566454647853
0.328284271247462 0.6 0.329847433585048
0.328284271247462 0.599039264020162 0.381346622013918
0.328284271247462 0.596193976625564 0.960273175695715
0.328284271247462 0.591573480615127 1.29613617387869
0.328284271247462 0.585355339059327 0.871775672948957
0.328284271247462 0.57777851165098 0.498028320569001
0.328284271247462 0.569134171618255 1.07072459288508
0.328284271247462 0.559754516100807 1.01598563042696
0.328284271247462 0.55 0.691416261644992
0.328284271247462 0.540245483899194 1.07070232866336
0.328284271247462 0.530865828381746 1.13633474309056
0.328284271247462 0.52222148834902 0.550861688867378
0.328284271247462 0.514644660940673 0.924789199432766
0.328284271247462 0.508426519384873 1.40148215743844
0.328284271247462 0.503806023374436 1.05394264113778
0.328284271247462 0.500960735979838 0.40554546445666
0.328284271247462 0.5 0.321686888290928
0.322222809320784 0.6 0.291794738476832
0.322222809320784 0.599039264020162 0.274778892414575
0.322222809320784 0.596193976625564 0.866368467767339
0.322222809320784 0.591573480615127 1.20616050203607
0.322222809320784 0.585355339059327 0.793127053028286
0.322222809320784 0.57777851165098 0.442873368795027
0.322222809320784 0.569134171618255 1.03454064882765
0.322222809320784 0.559754516100807 1.00263797226301
0.322222809320784 0.55 0.536100587119758
0.322222809320784 0.540245483899194 1.02776376341676
0.322222809320784 0.530865828381746 1.12736214019333
0.322222809320784 0.52222148834902 0.479008749684451
0.322222809320784 0.514644660940673 0.850122169064344
0.322222809320784 0.508426519384873 1.31519882849557
0.322222809320784 0.503806023374436 0.984899656772529
0.322222809320784 0.500960735979838 0.31170791251163
0.322222809320784 0.5 0.294043483954587
0.315307337294604 0.6 0.290065509559609
0.315307337294604 0.599039264020162 0.204407946531863
0.315307337294604 0.596193976625564 0.820385699287654
0.315307337294604 0.591573480615127 1.14250364958085
0.315307337294604 0.585355339059327 0.679366993535661
0.315307337294604 0.57777851165098 0.360217997744986
0.315307337294604 0.569134171618255 1.03393466884543
0.315307337294604 0.559754516100807 0.934730955481913
0.315307337294604 0.55 0.416637103599256
0.315307337294604 0.540245483899194 0.980483954201829
0.315307337294604 0.530865828381746 1.11128299512125
0.315307337294604 0.52222148834902 0.40416217557239
0.315307337294604 0.514644660940673 0.779413790511384
0.315307337294604 0.508426519384873 1.23769397491902
0.315307337294604 0.503806023374436 0.926623314326271
0.315307337294604 0.500960735979838 0.236752663272866
0.315307337294604 0.5 0.314215436564376
0.307803612880645 0.6 0.388434626408841
0.307803612880645 0.599039264020162 0.270934070087601
0.307803612880645 0.596193976625564 0.785548352566943
0.307803612880645 0.591573480615127 1.10222484290624
0.307803612880645 0.585355339059327 0.690361306098708
0.307803612880645 0.57777851165098 0.324529589458168
0.307803612880645 0.569134171618255 1.03493080767063
0.307803612880645 0.559754516100807 0.883088216080198
0.307803612880645 0.55 0.19739835908319
0.307803612880645 0.540245483899194 0.915794927340698
0.307803612880645 0.530865828381746 1.09029092632625
0.307803612880645 0.52222148834902 0.385369821046505
0.307803612880645 0.514644660940673 0.721328880566321
0.307803612880645 0.508426519384873 1.24057982361344
0.307803612880645 0.503806023374436 0.884152329618988
0.307803612880645 0.500960735979838 0.302742138918163
0.307803612880645 0.5 0.407438103749515
0.3 0.6 0.422340001400054
0.3 0.599039264020162 0.321241075782776
0.3 0.596193976625564 0.785112926910731
0.3 0.591573480615127 1.09863958699267
0.3 0.585355339059327 0.684696456745736
0.3 0.57777851165098 0.289383669371939
0.3 0.569134171618255 0.960282005851809
0.3 0.559754516100807 0.852545867109683
0.3 0.55 0.0230401582617037
0.3 0.540245483899194 0.914634890187736
0.3 0.530865828381746 1.07617634333983
0.3 0.52222148834902 0.352508859358053
0.3 0.514644660940673 0.735295320013808
0.3 0.508426519384873 1.22377286644285
0.3 0.503806023374436 0.889714342163864
0.3 0.500960735979838 0.366314237698987
0.3 0.5 0.456449744698853
0.292196387119355 0.6 0.387162907751592
0.292196387119355 0.599039264020162 0.266643638763661
0.292196387119355 0.596193976625564 0.780255221237038
0.292196387119355 0.591573480615127 1.10752374420482
0.292196387119355 0.585355339059327 0.688290910839343
0.292196387119355 0.57777851165098 0.318883165708487
0.292196387119355 0.569134171618255 0.972759816436443
0.292196387119355 0.559754516100807 0.880208128804755
0.292196387119355 0.55 0.235391845616228
0.292196387119355 0.540245483899194 0.934888180700778
0.292196387119355 0.530865828381746 1.09399908305794
0.292196387119355 0.52222148834902 0.353541312924722
0.292196387119355 0.514644660940673 0.713047442652225
0.292196387119355 0.508426519384873 1.20769820870192
0.292196387119355 0.503806023374436 0.918615450377068
0.292196387119355 0.500960735979838 0.321469915339204
0.292196387119355 0.5 0.435304029599358
0.284692662705396 0.6 0.279975804081539
0.284692662705396 0.599039264020162 0.192379520887292
0.284692662705396 0.596193976625564 0.794962744764716
0.284692662705396 0.591573480615127 1.12369112726964
0.284692662705396 0.585355339059327 0.727049571617234
0.284692662705396 0.57777851165098 0.347991771538167
0.284692662705396 0.569134171618255 1.0135449580278
0.284692662705396 0.559754516100807 0.945899457831244
0.284692662705396 0.55 0.39236974698667
0.284692662705396 0.540245483899194 0.964902499460038
0.284692662705396 0.530865828381746 1.11214184801061
0.284692662705396 0.52222148834902 0.395400361114518
0.284692662705396 0.514644660940673 0.741020550306305
0.284692662705396 0.508426519384873 1.233699712921
0.284692662705396 0.503806023374436 0.890373140550437
0.284692662705396 0.500960735979838 0.231499642326115
0.284692662705396 0.5 0.33358329154491
0.277777190679216 0.6 0.266260451249486
0.277777190679216 0.599039264020162 0.250334817723712
0.277777190679216 0.596193976625564 0.852163985800444
0.277777190679216 0.591573480615127 1.21355026724404
0.277777190679216 0.585355339059327 0.802622773583037
0.277777190679216 0.57777851165098 0.444327141762729
0.277777190679216 0.569134171618255 1.05933596631532
0.277777190679216 0.559754516100807 0.991958087375825
0.277777190679216 0.55 0.544301745107056
0.277777190679216 0.540245483899194 1.05765818393722
0.277777190679216 0.530865828381746 1.14604409462396
0.277777190679216 0.52222148834902 0.474927926744428
0.277777190679216 0.514644660940673 0.80864515723635
0.277777190679216 0.508426519384873 1.28116481418815
0.277777190679216 0.503806023374436 0.978993854675887
0.277777190679216 0.500960735979838 0.296776510067091
0.277777190679216 0.5 0.316436638580684
0.271715728752538 0.6 0.294906214735254
0.271715728752538 0.599039264020162 0.342866343308852
0.271715728752538 0.596193976625564 0.950115276922805
0.271715728752538 0.591573480615127 1.26154063598503
0.271715728752538 0.585355339059327 0.880586628104097
0.271715728752538 0.57777851165098 0.494601825543655
0.271715728752538 0.569134171618255 1.06894932718891
0.271715728752538 0.559754516100807 1.03780689249245
0.271715728752538 0.55 0.657184010183024
0.271715728752538 0.540245483899194 1.08463387802518
0.271715728752538 0.530865828381746 1.13621069115402
0.271715728752538 0.52222148834902 0.513988985379121
0.271715728752538 0.514644660940673 0.926766872920333
0.271715728752538 0.508426519384873 1.39197110899292
0.271715728752538 0.503806023374436 1.08041283726334
0.271715728752538 0.500960735979838 0.432323727593516
0.271715728752538 0.5 0.366480845560872
0.266741215507898 0.6 0.272419176059812
0.266741215507898 0.599039264020162 0.411193902161805
0.266741215507898 0.596193976625564 1.00898733778025
0.266741215507898 0.591573480615127 1.33772610285788
0.266741215507898 0.585355339059327 0.947630274551462
0.266741215507898 0.57777851165098 0.480853423549941
0.266741215507898 0.569134171618255 1.03416421180942
0.266741215507898 0.559754516100807 1.02660825965868
0.266741215507898 0.55 0.685178280474455
0.266741215507898 0.540245483899194 1.09753062021676
0.266741215507898 0.530865828381746 1.11704074950019
0.266741215507898 0.52222148834902 0.514658789860591
0.266741215507898 0.514644660940673 0.977670905896815
0.266741215507898 0.508426519384873 1.45084840024315
0.266741215507898 0.503806023374436 1.11075395936466
0.266741215507898 0.500960735979838 0.453763590636515
0.266741215507898 0.5 0.3555138981662
0.263044818699549 0.6 0.183311638618387
0.263044818699549 0.599039264020162 0.412818149021479
0.263044818699549 0.596193976625564 1.0422938460524
0.263044818699549 0.591573480615127 1.36585052270759
0.263044818699549 0.585355339059327 0.972857359988526
0.263044818699549 0.57777851165098 0.559915767061764
0.263044818699549 0.569134171618255 1.04028836024226
0.263044818699549 0.559754516100807 1.0417101999293
0.263044818699549 0.55 0.738353703552868
0.263044818699549 0.540245483899194 1.07000596965968
0.263044818699549 0.530865828381746 1.10064076576036
0.263044818699549 0.52222148834902 0.532176305004607
0.263044818699549 0.514644660940673 1.00285758209668
0.263044818699549 0.508426519384873 1.45612376337215
0.263044818699549 0.503806023374436 1.15627627853189
0.263044818699549 0.500960735979838 0.455906418830321
0.263044818699549 0.5 0.245269467406065
0.260768588783871 0.6 0.131627024777009
0.260768588783871 0.599039264020162 0.426076264663624
0.260768588783871 0.596193976625564 1.06217655100774
0.260768588783871 0.591573480615127 1.40906758982218
0.260768588783871 0.585355339059327 1.00869781427107
0.260768588783871 0.57777851165098 0.534564276016973
0.260768588783871 0.569134171618255 1.06063217379116
0.260768588783871 0.559754516100807 1.06550259047428
0.260768588783871 0.55 0.766839447716822
0.260768588783871 0.540245483899194 1.07831083166154
0.260768588783871 0.530865828381746 1.08254746067985
0.260768588783871 0.52222148834902 0.547029786254482
0.260768588783871 0.514644660940673 1.05258708059937
0.260768588783871 0.508426519384873 1.51317722814361
0.260768588783871 0.503806023374436 1.1653587871367
0.260768588783871 0.500960735979838 0.475380038604818
0.260768588783871 0.5 0.178065616224561
0.26 0.6 0.163571253542048
0.26 0.599039264020162 0.431432938350601
0.26 0.596193976625564 1.09158781544852
0.26 0.591573480615127 1.42672697806823
0.26 0.585355339059327 1.01944931100503
0.26 0.57777851165098 0.559347740398942
0.26 0.569134171618255 1.0554034614013
0.26 0.559754516100807 1.07516143713474
0.26 0.55 0.786902387419037
0.26 0.540245483899194 1.09549941084957
0.26 0.530865828381746 1.09248130515813
0.26 0.52222148834902 0.572883258429415
0.26 0.514644660940673 1.09526014758864
0.26 0.508426519384873 1.51711272848242
0.26 0.503806023374436 1.21948799885914
0.26 0.500960735979838 0.444788441556357
0.26 0.5 0.17119943478184
这是我使用 pgfplots 得到的结果
这就是它应该的样子（用 matlab 生成的图）
我该如何提高剧情质量？提前谢谢
答案1
表面在边缘处急剧弯曲，从而产生接近彼此平行的网格段。这令人困惑z buffer=sort- 请参阅手册以了解限制。
您的数据已反转（x 和 y 方向均反转），这意味着您需要z buffer=sort。我认为创建正确绘图的唯一方法是使用 eg 反转数据，pgfplotstable或者在 LaTeX 之外更简单。我使用了如下 shell 命令：
nl input-file.txt | sort -nr | cut -f 2- >input-file_sorted.txt
结果如下：
\documentclass[tikz, border=1cm]{standalone}
\usepackage{pgfplots}
\pgfplotsset{compat=1.18}
\usepackage{pgfplotstable}
\pgfplotsset{
colormap={parula}{
rgb255=(53,42,135)
rgb255=(15,92,221)
rgb255=(18,125,216)
rgb255=(7,156,207)
rgb255=(21,177,180)
rgb255=(89,189,140)
rgb255=(165,190,107)
rgb255=(225,185,82)
rgb255=(252,206,46)
rgb255=(249,251,14)}}
\begin{document}
\begin{tikzpicture}
\begin{axis}[
width=10cm, height=8cm,
view={-45}{30},
xmin=0.25, xmax=0.35,
ymin=0.49, ymax=0.61,
zmin=0, zmax=1.5,
point meta min=0.2, point meta max=1.4,
grid=both, grid style={dotted}, minor tick num=2,
]
\addplot3[
surf,
%z buffer=sort,
mesh/rows=17,
] table {input-file_sorted.txt};
\end{axis}
\end{tikzpicture}
\end{document}
答案2
这样会更好。
\begin{filecontents}{input-file.txt}
0.34 0.6 0.16784845236609
0.34 0.599039264020162 0.449340944725675
0.34 0.596193976625564 1.10126818451041
0.34 0.591573480615127 1.45934780647924
0.34 0.585355339059327 1.0246427812154
0.34 0.57777851165098 0.571065984297396
0.34 0.569134171618255 1.07623712852824
0.34 0.559754516100807 1.12465629098543
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\documentclass[border=5mm]{standalone}
\usepackage{pgfplots}
\pgfplotsset{compat=1.18}
\begin{document}
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view={-37.5}{30},
enlarge x limits,
grid=both,
major grid style={dotted},
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surf,
mesh/rows=17,
mesh/cols=17,
mesh input=image,
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