下図のような信頼区間スタイルの棒グラフがあります。読みやすさを向上させるために、各棒 (および各ラベル) の色を (色のサイクルから) 変える方法はありますか? 私が見つけることができたすべての回答では、ファイルからデータをロードするときに foreach またはその他の構造を使用しています。
\documentclass[tikz]{standalone}
\usepackage{pgfplots,filecontents}
\pgfplotsset{compat=newest}
\begin{filecontents}{ntrick.dat}
CHAMP X Y YL YH
YASUO 1 0.4107142857 0.1190484959 0.1305120931
AURELION-SOL 2 0.2222222222 0.1161512673 0.1853507324
DARIUS 3 0.1941747573 0.06481265042 0.08680517491
KOG-MAW 4 0.1785714286 0.09978757028 0.1773464869
TALIYAH 5 0.1666666667 0.07971256627 0.1291143337
GRAGAS 6 0.156626506 0.06274727049 0.09312680322
ZED 7 0.1492537313 0.06611188926 0.1041524436
NIDALEE 8 0.1304347826 0.06026929692 0.09925036651
URGOT 9 0.1282051282 0.07217777872 0.1388553622
OLAF 10 0.12 0.05556701031 0.0925984252
MORDEKAISER 11 0.1194029851 0.04455530856 0.06576953551
IVERN 12 0.1136363636 0.06410928774 0.1261579878
ORIANNA 13 0.1111111111 0.05918159294 0.1108383782
ANIVIA 14 0.1111111111 0.03129912354 0.04153724967
FIORA 15 0.1076923077 0.04245156691 0.06497205726
KHA-ZIX 16 0.1058823529 0.04917058778 0.08325467346
SINGED 17 0.1027777778 0.02728978089 0.03567787553
TRYNDAMERE 18 0.09979633401 0.02348415136 0.02969794746
REK-SAI 19 0.09523809524 0.06871988644 0.1939077434
JARVAN-IV 20 0.09090909091 0.04412322921 0.07834657977
TALON 21 0.08450704225 0.03550617218 0.05739509477
IRELIA 22 0.08438818565 0.02909757023 0.0423561962
RAMMUS 23 0.0843373494 0.04288454022 0.07965976404
JAYCE 24 0.08421052632 0.03171308747 0.04819352141
JANNA 25 0.08316008316 0.02149690193 0.02810249116
RIVEN 26 0.08227114716 0.01653443314 0.02023694848
KALISTA 27 0.08108108108 0.05312101468 0.1319288439
KASSADIN 28 0.08108108108 0.05312101468 0.1319288439
KLED 29 0.07894736842 0.0422638629 0.08278198352
FIZZ 30 0.07894736842 0.03321198596 0.05397044569
RUMBLE 31 0.0780141844 0.03389651291 0.05628097579
EVELYNN 32 0.07751937984 0.02678004714 0.03917686682
CASSIOPEIA 33 0.07692307692 0.05041616285 0.1262906544
TWISTED-FATE 34 0.07446808511 0.03792996909 0.07134568192
KARTHUS 35 0.07246376812 0.0411164589 0.08621220606
JAX 36 0.0701754386 0.02652196482 0.04076629401
SHACO 37 0.06944444444 0.01803462731 0.0237397103
AKALI 38 0.06784660767 0.02221503378 0.03189974224
GANGPLANK 39 0.06443298969 0.02041233594 0.02895290043
GALIO 40 0.0625 0.05138094269 0.2207926837
DRAVEN 41 0.06162464986 0.0154014113 0.020093429
ELISE 42 0.06 0.03938540364 0.1021734337
TEEMO 43 0.05967450271 0.01687076741 0.02294629924
SHEN 44 0.0593220339 0.03029263859 0.05808131626
KINDRED 45 0.05882352941 0.03861725655 0.10042521
VEIGAR 46 0.05479452055 0.02677117999 0.04959930475
VEL-KOZ 47 0.05421686747 0.01965055354 0.02984893564
AATROX 48 0.05263157895 0.03457161085 0.09106619766
UDYR 49 0.05154639175 0.02933066833 0.06349869782
RENEKTON 50 0.05138339921 0.02111228283 0.03453227035
FIDDLESTICKS 51 0.05058365759 0.02078745972 0.03402520877
SKARNER 52 0.05 0.03617962285 0.1150417082
TARIC 53 0.05 0.02444971 0.04555204298
BLITZCRANK 54 0.04838709677 0.01884791975 0.02990391825
NOCTURNE 55 0.04807692308 0.02736918613 0.05956655138
XERATH 56 0.048 0.02581829682 0.05277237376
AHRI 57 0.04761904762 0.02329534513 0.04352172416
RYZE 58 0.046875 0.02521745111 0.05162375989
SION 59 0.046875 0.02202104919 0.0397979158
KAYLE 60 0.0462962963 0.02095782855 0.03681422832
SEJUANI 61 0.04545454545 0.03289969909 0.1058981698
ANNIE 62 0.04545454545 0.0181882452 0.02938740412
MASTER-YI 63 0.04545454545 0.01728501618 0.02709939324
SORAKA 64 0.04387990762 0.01561125405 0.0236335255
GNAR 65 0.04347826087 0.03147306728 0.1018469683
HEIMERDINGER 66 0.04347826087 0.01903019573 0.0326866588
LULU 67 0.04329004329 0.01960870772 0.03455066835
PANTHEON 68 0.04237288136 0.01919678035 0.03385662534
VLADIMIR 69 0.04210526316 0.02561175718 0.06120503817
LISSANDRA 70 0.04166666667 0.03427340131 0.1607555958
NUNU 71 0.03846153846 0.03163972948 0.1504702315
SYNDRA 72 0.03846153846 0.03163972948 0.1504702315
LEE-SIN 73 0.03773584906 0.02296524095 0.05529969278
POPPY 74 0.03738317757 0.02275151504 0.05481869533
SWAIN 75 0.03731343284 0.01692164376 0.02999879395
WUKONG 76 0.0367816092 0.01401665416 0.02212664086
KENNEN 77 0.03636363636 0.02213355578 0.05342449783
MALZAHAR 78 0.03636363636 0.02213355578 0.05342449783
DIANA 79 0.03535353535 0.01812488744 0.03581188416
ZAC 80 0.03465346535 0.01776801123 0.0351374375
CHO-GATH 81 0.03355704698 0.01914015326 0.04258779118
TWITCH 82 0.03355704698 0.01914015326 0.04258779118
MAOKAI 83 0.03333333333 0.02742489534 0.1333741806
ZILEAN 84 0.03300330033 0.01497977204 0.02667319641
HECARIM 85 0.0303030303 0.02493375821 0.1228875864
TAHM-KENCH 86 0.0303030303 0.01994457841 0.05503520086
CORKI 87 0.02941176471 0.02420099278 0.1197472575
SHYVANA 88 0.02884615385 0.01898814955 0.05255561546
MISS-FORTUNE 89 0.02857142857 0.01346866316 0.02482878681
AMUMU 90 0.02830188679 0.01863077815 0.05162511675
YORICK 91 0.02777777778 0.02012691631 0.06796580391
JHIN 92 0.02777777778 0.01585583158 0.03559117863
BRAND 93 0.02713178295 0.01392843003 0.02780376949
NASUS 94 0.02688172043 0.01534615471 0.03449402517
BARD 95 0.02659574468 0.01518346633 0.03414316837
SONA 96 0.02616516762 0.0075710332 0.01053846419
EKKO 97 0.02608695652 0.01407759625 0.02964868666
GRAVES 98 0.02469135802 0.01789391311 0.06093755395
VIKTOR 99 0.0243902439 0.02007182363 0.1015632262
QUINN 100 0.02395209581 0.01459922489 0.03600836211
THRESH 101 0.02151639344 0.007401003996 0.0111529219
NAMI 102 0.02080624187 0.007959442523 0.01272334431
ALISTAR 103 0.01973684211 0.01300231219 0.03667993033
LEONA 104 0.01946472019 0.007448633761 0.01191928365
XIN-ZHAO 105 0.01915708812 0.01094737104 0.0248968875
ZYRA 106 0.01893095768 0.00707839643 0.01117684306
KARMA 107 0.01826484018 0.01113976474 0.0277491751
VAYNE 108 0.01739130435 0.0126090522 0.04381007213
GAREN 109 0.015 0.009885854816 0.02816648056
DR-MUNDO 110 0.01470588235 0.01210526575 0.06400572126
VOLIBEAR 111 0.01449275362 0.009551973694 0.02724416193
MALPHITE 112 0.01307189542 0.00947983485 0.03333298359
EZREAL 113 0.0125 0.009065400844 0.03192626158
VARUS 114 0.01149425287 0.009462397449 0.05077923199
VI 115 0.01123595506 0.009249822963 0.04969798316
ILLAOI 116 0.01052631579 0.008665787426 0.04671377745
MORGANA 117 0.009538950715 0.00516009818 0.01111468513
JINX 118 0.008645533141 0.005701054612 0.01646139386
BRAUM 119 0.008547008547 0.006200021825 0.02207584684
CAITLYN 120 0.006756756757 0.005563056588 0.03052121355
NAUTILUS 121 0.005730659026 0.004157729224 0.01492054801
LUX 122 0.002364066194 0.001946639235 0.01090414574
CAMILLE 123 0 0 0.6576280471
AZIR 124 0 0 0.1245590371
SIVIR 125 0 0 0.1135170914
LEBLANC 126 0 0 0.1015179062
RENGAR 127 0 0 0.08380161251
ZIGGS 128 0 0 0.08201257002
TRUNDLE 129 0 0 0.07707617733
WARWICK 130 0 0 0.06314100878
LUCIAN 131 0 0 0.06017393048
TRISTANA 132 0 0 0.05273909414
KATARINA 133 0 0 0.03259969315
ASHE 134 0 0 0.03028659367
\end{filecontents}
\begin{document}
\begin{tikzpicture}
\sffamily
\begin{axis}[
xtick=data,% crucial line for the xticklabels directive
xticklabels from table={ntrick.dat}{CHAMP},
xticklabel style={rotate=90,font=\tiny},
xmin=-2,
xmax=137,
ymin=-0.02,
ymax=0.6,
height=480,
width=820
]
\draw
(axis cs:\pgfkeysvalueof{/pgfplots/xmin},0) --
(axis cs:\pgfkeysvalueof{/pgfplots/xmax},0);
\addplot [
only marks, mark=o,
error bars/.cd, y dir = minus, y explicit
]
table [
x=X,
y=Y,
y error=YL
] {ntrick.dat};
\addplot [
only marks, mark=o,
error bars/.cd, y dir = plus, y explicit
]
table [
x=X,
y=Y,
y error=YH
] {ntrick.dat};
\end{axis}
\end{tikzpicture}
\end{document}
答え1
ここでは、各データ ポイントの色を変更するという直接的な質問には答えませんが、それによって読みやすさが向上する理由がわかりません。
しかし、主要読みやすさを向上させるために、2 つの方法を提案します。1 つ目は、5 つのエントリごとに垂直線を追加してグループ化し、データ ポイントをたどるためのガイドラインを作成することです。2 つ目は、グループ内の自分の位置を示すという同じ目的を持つ色付きの四角形を背景に追加することです。
個人的には、純粋な垂直線ほど邪魔にならないため、2 番目のオプションを好みます。純粋な垂直線は、大きなエラー バーと誤解される可能性があり、以下に示すようなものになります。
動作の詳細については、コード内のコメントを参照してください。
% used PGFPlots v1.14
\begin{filecontents}{ntrick.dat}
CHAMP X Y YL YH
YASUO 1 0.4107142857 0.1190484959 0.1305120931
AURELION-SOL 2 0.2222222222 0.1161512673 0.1853507324
DARIUS 3 0.1941747573 0.06481265042 0.08680517491
KOG-MAW 4 0.1785714286 0.09978757028 0.1773464869
TALIYAH 5 0.1666666667 0.07971256627 0.1291143337
GRAGAS 6 0.156626506 0.06274727049 0.09312680322
ZED 7 0.1492537313 0.06611188926 0.1041524436
NIDALEE 8 0.1304347826 0.06026929692 0.09925036651
URGOT 9 0.1282051282 0.07217777872 0.1388553622
OLAF 10 0.12 0.05556701031 0.0925984252
MORDEKAISER 11 0.1194029851 0.04455530856 0.06576953551
IVERN 12 0.1136363636 0.06410928774 0.1261579878
ORIANNA 13 0.1111111111 0.05918159294 0.1108383782
ANIVIA 14 0.1111111111 0.03129912354 0.04153724967
FIORA 15 0.1076923077 0.04245156691 0.06497205726
KHA-ZIX 16 0.1058823529 0.04917058778 0.08325467346
SINGED 17 0.1027777778 0.02728978089 0.03567787553
TRYNDAMERE 18 0.09979633401 0.02348415136 0.02969794746
REK-SAI 19 0.09523809524 0.06871988644 0.1939077434
JARVAN-IV 20 0.09090909091 0.04412322921 0.07834657977
TALON 21 0.08450704225 0.03550617218 0.05739509477
IRELIA 22 0.08438818565 0.02909757023 0.0423561962
RAMMUS 23 0.0843373494 0.04288454022 0.07965976404
JAYCE 24 0.08421052632 0.03171308747 0.04819352141
JANNA 25 0.08316008316 0.02149690193 0.02810249116
RIVEN 26 0.08227114716 0.01653443314 0.02023694848
KALISTA 27 0.08108108108 0.05312101468 0.1319288439
KASSADIN 28 0.08108108108 0.05312101468 0.1319288439
KLED 29 0.07894736842 0.0422638629 0.08278198352
FIZZ 30 0.07894736842 0.03321198596 0.05397044569
RUMBLE 31 0.0780141844 0.03389651291 0.05628097579
EVELYNN 32 0.07751937984 0.02678004714 0.03917686682
CASSIOPEIA 33 0.07692307692 0.05041616285 0.1262906544
TWISTED-FATE 34 0.07446808511 0.03792996909 0.07134568192
KARTHUS 35 0.07246376812 0.0411164589 0.08621220606
JAX 36 0.0701754386 0.02652196482 0.04076629401
SHACO 37 0.06944444444 0.01803462731 0.0237397103
AKALI 38 0.06784660767 0.02221503378 0.03189974224
GANGPLANK 39 0.06443298969 0.02041233594 0.02895290043
GALIO 40 0.0625 0.05138094269 0.2207926837
DRAVEN 41 0.06162464986 0.0154014113 0.020093429
ELISE 42 0.06 0.03938540364 0.1021734337
TEEMO 43 0.05967450271 0.01687076741 0.02294629924
SHEN 44 0.0593220339 0.03029263859 0.05808131626
KINDRED 45 0.05882352941 0.03861725655 0.10042521
VEIGAR 46 0.05479452055 0.02677117999 0.04959930475
VEL-KOZ 47 0.05421686747 0.01965055354 0.02984893564
AATROX 48 0.05263157895 0.03457161085 0.09106619766
UDYR 49 0.05154639175 0.02933066833 0.06349869782
RENEKTON 50 0.05138339921 0.02111228283 0.03453227035
FIDDLESTICKS 51 0.05058365759 0.02078745972 0.03402520877
SKARNER 52 0.05 0.03617962285 0.1150417082
TARIC 53 0.05 0.02444971 0.04555204298
BLITZCRANK 54 0.04838709677 0.01884791975 0.02990391825
NOCTURNE 55 0.04807692308 0.02736918613 0.05956655138
XERATH 56 0.048 0.02581829682 0.05277237376
AHRI 57 0.04761904762 0.02329534513 0.04352172416
RYZE 58 0.046875 0.02521745111 0.05162375989
SION 59 0.046875 0.02202104919 0.0397979158
KAYLE 60 0.0462962963 0.02095782855 0.03681422832
SEJUANI 61 0.04545454545 0.03289969909 0.1058981698
ANNIE 62 0.04545454545 0.0181882452 0.02938740412
MASTER-YI 63 0.04545454545 0.01728501618 0.02709939324
SORAKA 64 0.04387990762 0.01561125405 0.0236335255
GNAR 65 0.04347826087 0.03147306728 0.1018469683
HEIMERDINGER 66 0.04347826087 0.01903019573 0.0326866588
LULU 67 0.04329004329 0.01960870772 0.03455066835
PANTHEON 68 0.04237288136 0.01919678035 0.03385662534
VLADIMIR 69 0.04210526316 0.02561175718 0.06120503817
LISSANDRA 70 0.04166666667 0.03427340131 0.1607555958
NUNU 71 0.03846153846 0.03163972948 0.1504702315
SYNDRA 72 0.03846153846 0.03163972948 0.1504702315
LEE-SIN 73 0.03773584906 0.02296524095 0.05529969278
POPPY 74 0.03738317757 0.02275151504 0.05481869533
SWAIN 75 0.03731343284 0.01692164376 0.02999879395
WUKONG 76 0.0367816092 0.01401665416 0.02212664086
KENNEN 77 0.03636363636 0.02213355578 0.05342449783
MALZAHAR 78 0.03636363636 0.02213355578 0.05342449783
DIANA 79 0.03535353535 0.01812488744 0.03581188416
ZAC 80 0.03465346535 0.01776801123 0.0351374375
CHO-GATH 81 0.03355704698 0.01914015326 0.04258779118
TWITCH 82 0.03355704698 0.01914015326 0.04258779118
MAOKAI 83 0.03333333333 0.02742489534 0.1333741806
ZILEAN 84 0.03300330033 0.01497977204 0.02667319641
HECARIM 85 0.0303030303 0.02493375821 0.1228875864
TAHM-KENCH 86 0.0303030303 0.01994457841 0.05503520086
CORKI 87 0.02941176471 0.02420099278 0.1197472575
SHYVANA 88 0.02884615385 0.01898814955 0.05255561546
MISS-FORTUNE 89 0.02857142857 0.01346866316 0.02482878681
AMUMU 90 0.02830188679 0.01863077815 0.05162511675
YORICK 91 0.02777777778 0.02012691631 0.06796580391
JHIN 92 0.02777777778 0.01585583158 0.03559117863
BRAND 93 0.02713178295 0.01392843003 0.02780376949
NASUS 94 0.02688172043 0.01534615471 0.03449402517
BARD 95 0.02659574468 0.01518346633 0.03414316837
SONA 96 0.02616516762 0.0075710332 0.01053846419
EKKO 97 0.02608695652 0.01407759625 0.02964868666
GRAVES 98 0.02469135802 0.01789391311 0.06093755395
VIKTOR 99 0.0243902439 0.02007182363 0.1015632262
QUINN 100 0.02395209581 0.01459922489 0.03600836211
THRESH 101 0.02151639344 0.007401003996 0.0111529219
NAMI 102 0.02080624187 0.007959442523 0.01272334431
ALISTAR 103 0.01973684211 0.01300231219 0.03667993033
LEONA 104 0.01946472019 0.007448633761 0.01191928365
XIN-ZHAO 105 0.01915708812 0.01094737104 0.0248968875
ZYRA 106 0.01893095768 0.00707839643 0.01117684306
KARMA 107 0.01826484018 0.01113976474 0.0277491751
VAYNE 108 0.01739130435 0.0126090522 0.04381007213
GAREN 109 0.015 0.009885854816 0.02816648056
DR-MUNDO 110 0.01470588235 0.01210526575 0.06400572126
VOLIBEAR 111 0.01449275362 0.009551973694 0.02724416193
MALPHITE 112 0.01307189542 0.00947983485 0.03333298359
EZREAL 113 0.0125 0.009065400844 0.03192626158
VARUS 114 0.01149425287 0.009462397449 0.05077923199
VI 115 0.01123595506 0.009249822963 0.04969798316
ILLAOI 116 0.01052631579 0.008665787426 0.04671377745
MORGANA 117 0.009538950715 0.00516009818 0.01111468513
JINX 118 0.008645533141 0.005701054612 0.01646139386
BRAUM 119 0.008547008547 0.006200021825 0.02207584684
CAITLYN 120 0.006756756757 0.005563056588 0.03052121355
NAUTILUS 121 0.005730659026 0.004157729224 0.01492054801
LUX 122 0.002364066194 0.001946639235 0.01090414574
CAMILLE 123 0 0 0.6576280471
AZIR 124 0 0 0.1245590371
SIVIR 125 0 0 0.1135170914
LEBLANC 126 0 0 0.1015179062
RENGAR 127 0 0 0.08380161251
ZIGGS 128 0 0 0.08201257002
TRUNDLE 129 0 0 0.07707617733
WARWICK 130 0 0 0.06314100878
LUCIAN 131 0 0 0.06017393048
TRISTANA 132 0 0 0.05273909414
KATARINA 133 0 0 0.03259969315
ASHE 134 0 0 0.03028659367
\end{filecontents}
\documentclass[border=5pt]{standalone}
\usepackage{pgfplots}
% use this `compat' level or higher so you don't need to prefix every
% TikZ coordinate with `axis cs:'
\pgfplotsset{compat=1.11}
% declare the layer background on which later on the rectangles will be placed
% and set the order of the layers
\pgfdeclarelayer{background}
\pgfsetlayers{background,main}
\begin{document}
\begin{tikzpicture}
\sffamily
\begin{axis}[
height=480,
width=820,
% I wouldn't use these explicitly here, because if the number of data
% points changes you have to adjust them ...
% xmin=-2,
% xmax=137,
ymin=-0.02,
ymax=0.6,
% ... Insted use `enlarge x limits'.
enlarge x limits={abs=1},
xtick=data,% crucial line for the xticklabels directive
xticklabels from table={ntrick.dat}{CHAMP},
xticklabel style={rotate=90,font=\tiny},
% to avoid the nasty "5 \cdot 10^-2".
yticklabel style={
/pgf/number format/fixed,
},
% % ---------------------------------------------------------------------
% % one possibility would be to add some "guide lines" only to easier see
% % to which xtick which data point belongs
% extra x ticks={5,10,...,150},
% extra x ticks={5.5,10.5,...,150.5},
% extra x tick labels={},
% extra x tick style={
% grid=major,
% major tick length=0pt,
% },
% % ---------------------------------------------------------------------
% I realized your zero line with the help of the `extra y ticks' feature
extra y ticks={0},
extra y tick labels={},
extra y tick style={
grid=major,
major tick length=0pt,
},
only marks,
]
% ---------------------------------------------------------------------
% my prefered solution is to place filled rectangles in the background
% each 5 entries to guide the reader to which xtick which data point
% belongs.
%
% We place the rectangles on the previously defined background layer,
% so they are also placed behind the axis and thus the `xtick's.
% (Using the `axis on top' feature would also be an option, but that
% would cause the created `extra y ticks' line to be on top of the
% data points as well which most probably is not desired.)
\begin{pgfonlayer}{background}
% I suggest to group data points in steps of 5, so we have to draw
% colored rectangles each 10 entries with a width of 5.
% I think it is a matter of taste if the rectangles should be placed
% *on* the data points or *between* the data points. Here I have
% chosen the later one.
\pgfplotsinvokeforeach {5.5,15.5,...,135.5} {
\fill [black!5] (#1,\pgfkeysvalueof{/pgfplots/ymin})
rectangle (#1+5,\pgfkeysvalueof{/pgfplots/ymax});
}
\end{pgfonlayer}
% ---------------------------------------------------------------------
% you can draw both error bars in one call
\addplot [
% because I don't like it that you see the error bar line "through"
% the data point I changed the mark to the corresponding one that
% can be filled and filled it white
mark=*,
fill=white,
error bars/.cd,
y dir = both,
y explicit,
] table [
x=X,
y=Y,
y error minus=YL,
y error plus =YH,
] {ntrick.dat};
\end{axis}
\end{tikzpicture}
\end{document}
答え2
cycle list nameのメカニズムの問題点pgfplotsは、少なくとも私がマニュアルを理解している限りでは、サイクル リストの要素が現在のプロット番号に基づいて選択され、その番号が と\addplot仲間によって増分されることです。したがって、軸に 1 つしかない場合\addplot、サイクル リストの次の要素は選択されません。
私はなんとか思いついた部分的解決策ですが、いくつか欠点もあります。
- 遅い。とても遅い（私のマシンではコンパイルに約30秒かかるが、元のコードでは約2秒）。これは、各プロットサイクルでテーブル全体が処理されるためで、1つを除いて破棄する要素。正直言って、かなり洗練されていない。もし誰かがもっとすっきりしたバージョンを思いついたら、私はとても興味がある。
- 目盛りラベルのスタイルは循環しません。
pgfplotsマニュアルを徹底的に調べ、目盛りラベルと記号座標の両方をいじってみましたが、残念ながら、思った通りにはいきませんでした。目盛りラベルは 全体に設定されておりaxis、循環はないので、これは理にかなっています。実行可能な解決策が見つかったら更新を投稿します。これは確かにあれば非常に便利なものなので、その点については同意します。
実際の解決策の前の最後のこと：パーカッションx filter/.codeのスニペットのクレジットこの答え、そしてエラーバーコードスニペットを提供してくれたStefan Pinnowに感謝します。彼の答えはここに。
とにかく、コード:
\documentclass[tikz]{standalone}
\usepackage{pgfplots,filecontents,pgfplotstable}
\pgfplotsset{compat=newest}
\begin{filecontents}{ntrick.dat}
CHAMP X Y YL YH
YASUO 1 0.4107142857 0.1190484959 0.1305120931
AURELION-SOL 2 0.2222222222 0.1161512673 0.1853507324
DARIUS 3 0.1941747573 0.06481265042 0.08680517491
KOG-MAW 4 0.1785714286 0.09978757028 0.1773464869
TALIYAH 5 0.1666666667 0.07971256627 0.1291143337
GRAGAS 6 0.156626506 0.06274727049 0.09312680322
ZED 7 0.1492537313 0.06611188926 0.1041524436
NIDALEE 8 0.1304347826 0.06026929692 0.09925036651
URGOT 9 0.1282051282 0.07217777872 0.1388553622
OLAF 10 0.12 0.05556701031 0.0925984252
MORDEKAISER 11 0.1194029851 0.04455530856 0.06576953551
IVERN 12 0.1136363636 0.06410928774 0.1261579878
ORIANNA 13 0.1111111111 0.05918159294 0.1108383782
ANIVIA 14 0.1111111111 0.03129912354 0.04153724967
FIORA 15 0.1076923077 0.04245156691 0.06497205726
KHA-ZIX 16 0.1058823529 0.04917058778 0.08325467346
SINGED 17 0.1027777778 0.02728978089 0.03567787553
TRYNDAMERE 18 0.09979633401 0.02348415136 0.02969794746
REK-SAI 19 0.09523809524 0.06871988644 0.1939077434
JARVAN-IV 20 0.09090909091 0.04412322921 0.07834657977
TALON 21 0.08450704225 0.03550617218 0.05739509477
IRELIA 22 0.08438818565 0.02909757023 0.0423561962
RAMMUS 23 0.0843373494 0.04288454022 0.07965976404
JAYCE 24 0.08421052632 0.03171308747 0.04819352141
JANNA 25 0.08316008316 0.02149690193 0.02810249116
RIVEN 26 0.08227114716 0.01653443314 0.02023694848
KALISTA 27 0.08108108108 0.05312101468 0.1319288439
KASSADIN 28 0.08108108108 0.05312101468 0.1319288439
KLED 29 0.07894736842 0.0422638629 0.08278198352
FIZZ 30 0.07894736842 0.03321198596 0.05397044569
RUMBLE 31 0.0780141844 0.03389651291 0.05628097579
EVELYNN 32 0.07751937984 0.02678004714 0.03917686682
CASSIOPEIA 33 0.07692307692 0.05041616285 0.1262906544
TWISTED-FATE 34 0.07446808511 0.03792996909 0.07134568192
KARTHUS 35 0.07246376812 0.0411164589 0.08621220606
JAX 36 0.0701754386 0.02652196482 0.04076629401
SHACO 37 0.06944444444 0.01803462731 0.0237397103
AKALI 38 0.06784660767 0.02221503378 0.03189974224
GANGPLANK 39 0.06443298969 0.02041233594 0.02895290043
GALIO 40 0.0625 0.05138094269 0.2207926837
DRAVEN 41 0.06162464986 0.0154014113 0.020093429
ELISE 42 0.06 0.03938540364 0.1021734337
TEEMO 43 0.05967450271 0.01687076741 0.02294629924
SHEN 44 0.0593220339 0.03029263859 0.05808131626
KINDRED 45 0.05882352941 0.03861725655 0.10042521
VEIGAR 46 0.05479452055 0.02677117999 0.04959930475
VEL-KOZ 47 0.05421686747 0.01965055354 0.02984893564
AATROX 48 0.05263157895 0.03457161085 0.09106619766
UDYR 49 0.05154639175 0.02933066833 0.06349869782
RENEKTON 50 0.05138339921 0.02111228283 0.03453227035
FIDDLESTICKS 51 0.05058365759 0.02078745972 0.03402520877
SKARNER 52 0.05 0.03617962285 0.1150417082
TARIC 53 0.05 0.02444971 0.04555204298
BLITZCRANK 54 0.04838709677 0.01884791975 0.02990391825
NOCTURNE 55 0.04807692308 0.02736918613 0.05956655138
XERATH 56 0.048 0.02581829682 0.05277237376
AHRI 57 0.04761904762 0.02329534513 0.04352172416
RYZE 58 0.046875 0.02521745111 0.05162375989
SION 59 0.046875 0.02202104919 0.0397979158
KAYLE 60 0.0462962963 0.02095782855 0.03681422832
SEJUANI 61 0.04545454545 0.03289969909 0.1058981698
ANNIE 62 0.04545454545 0.0181882452 0.02938740412
MASTER-YI 63 0.04545454545 0.01728501618 0.02709939324
SORAKA 64 0.04387990762 0.01561125405 0.0236335255
GNAR 65 0.04347826087 0.03147306728 0.1018469683
HEIMERDINGER 66 0.04347826087 0.01903019573 0.0326866588
LULU 67 0.04329004329 0.01960870772 0.03455066835
PANTHEON 68 0.04237288136 0.01919678035 0.03385662534
VLADIMIR 69 0.04210526316 0.02561175718 0.06120503817
LISSANDRA 70 0.04166666667 0.03427340131 0.1607555958
NUNU 71 0.03846153846 0.03163972948 0.1504702315
SYNDRA 72 0.03846153846 0.03163972948 0.1504702315
LEE-SIN 73 0.03773584906 0.02296524095 0.05529969278
POPPY 74 0.03738317757 0.02275151504 0.05481869533
SWAIN 75 0.03731343284 0.01692164376 0.02999879395
WUKONG 76 0.0367816092 0.01401665416 0.02212664086
KENNEN 77 0.03636363636 0.02213355578 0.05342449783
MALZAHAR 78 0.03636363636 0.02213355578 0.05342449783
DIANA 79 0.03535353535 0.01812488744 0.03581188416
ZAC 80 0.03465346535 0.01776801123 0.0351374375
CHO-GATH 81 0.03355704698 0.01914015326 0.04258779118
TWITCH 82 0.03355704698 0.01914015326 0.04258779118
MAOKAI 83 0.03333333333 0.02742489534 0.1333741806
ZILEAN 84 0.03300330033 0.01497977204 0.02667319641
HECARIM 85 0.0303030303 0.02493375821 0.1228875864
TAHM-KENCH 86 0.0303030303 0.01994457841 0.05503520086
CORKI 87 0.02941176471 0.02420099278 0.1197472575
SHYVANA 88 0.02884615385 0.01898814955 0.05255561546
MISS-FORTUNE 89 0.02857142857 0.01346866316 0.02482878681
AMUMU 90 0.02830188679 0.01863077815 0.05162511675
YORICK 91 0.02777777778 0.02012691631 0.06796580391
JHIN 92 0.02777777778 0.01585583158 0.03559117863
BRAND 93 0.02713178295 0.01392843003 0.02780376949
NASUS 94 0.02688172043 0.01534615471 0.03449402517
BARD 95 0.02659574468 0.01518346633 0.03414316837
SONA 96 0.02616516762 0.0075710332 0.01053846419
EKKO 97 0.02608695652 0.01407759625 0.02964868666
GRAVES 98 0.02469135802 0.01789391311 0.06093755395
VIKTOR 99 0.0243902439 0.02007182363 0.1015632262
QUINN 100 0.02395209581 0.01459922489 0.03600836211
THRESH 101 0.02151639344 0.007401003996 0.0111529219
NAMI 102 0.02080624187 0.007959442523 0.01272334431
ALISTAR 103 0.01973684211 0.01300231219 0.03667993033
LEONA 104 0.01946472019 0.007448633761 0.01191928365
XIN-ZHAO 105 0.01915708812 0.01094737104 0.0248968875
ZYRA 106 0.01893095768 0.00707839643 0.01117684306
KARMA 107 0.01826484018 0.01113976474 0.0277491751
VAYNE 108 0.01739130435 0.0126090522 0.04381007213
GAREN 109 0.015 0.009885854816 0.02816648056
DR-MUNDO 110 0.01470588235 0.01210526575 0.06400572126
VOLIBEAR 111 0.01449275362 0.009551973694 0.02724416193
MALPHITE 112 0.01307189542 0.00947983485 0.03333298359
EZREAL 113 0.0125 0.009065400844 0.03192626158
VARUS 114 0.01149425287 0.009462397449 0.05077923199
VI 115 0.01123595506 0.009249822963 0.04969798316
ILLAOI 116 0.01052631579 0.008665787426 0.04671377745
MORGANA 117 0.009538950715 0.00516009818 0.01111468513
JINX 118 0.008645533141 0.005701054612 0.01646139386
BRAUM 119 0.008547008547 0.006200021825 0.02207584684
CAITLYN 120 0.006756756757 0.005563056588 0.03052121355
NAUTILUS 121 0.005730659026 0.004157729224 0.01492054801
LUX 122 0.002364066194 0.001946639235 0.01090414574
CAMILLE 123 0 0 0.6576280471
AZIR 124 0 0 0.1245590371
SIVIR 125 0 0 0.1135170914
LEBLANC 126 0 0 0.1015179062
RENGAR 127 0 0 0.08380161251
ZIGGS 128 0 0 0.08201257002
TRUNDLE 129 0 0 0.07707617733
WARWICK 130 0 0 0.06314100878
LUCIAN 131 0 0 0.06017393048
TRISTANA 132 0 0 0.05273909414
KATARINA 133 0 0 0.03259969315
ASHE 134 0 0 0.03028659367
\end{filecontents}
\begin{document}
\pgfplotstableread{ntrick.dat}{\champs}
\pgfplotstablegetrowsof{\champs}
\pgfmathsetmacro\totRows{\pgfmathresult}
\begin{tikzpicture}
\sffamily
\begin{axis}[
xtick=data,% crucial line for the xticklabels directive
xticklabels from table={\champs}{CHAMP},
xticklabel style={rotate=90,font=\tiny},
xmin=-2,
xmax=137,
ymin=-0.02,
ymax=0.6,
height=480,
width=820,
unbounded coords=discard,
filter discard warning=false,
cycle list name=color,
]
\draw
(axis cs:\pgfkeysvalueof{/pgfplots/xmin},0) --
(axis cs:\pgfkeysvalueof{/pgfplots/xmax},0);
%Need this so that all xaxis tick labels are printed.
\addplot [
white,
only marks, mark=o,
]
table [
x=X,
y=Y,
] {\champs};
\foreach \row in {1,...,\totRows} {%
\addplot+ [
x filter/.code={\pgfplotstablegetelem{\coordindex}{X}\of{\champs}
\ifnum\pgfplotsretval=\row,
\else
\def\pgfmathresult{}
\fi
},
only marks, mark=o,
error bars/.cd, y dir = both, y explicit
]
table [
x=X,
y=Y,
y error plus expr=\thisrow{YH},
y error minus expr=\thisrow{YL},
] {\champs};
}
\end{axis}
\end{tikzpicture}
\end{document}
結果：
