Eu tenho um gráfico de barras no estilo de intervalo de confiança, mostrado abaixo. Existe uma maneira de alterá-lo para que cada barra (e cada rótulo) tenha uma cor diferente (de um ciclo de cores) para melhorar a legibilidade? Todas as respostas que consegui encontrar usam foreach ou outras construções enquanto carrego meus dados de um arquivo.
\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}
Responder1
Aqui não respondo à questão direta de alterar a cor de cada ponto de dados, mas não vejo sentido em como isso deve aumentar a legibilidade.
Mas em relação aoprincipalponto de melhorar a legibilidade, sugiro duas variantes. Primeiro, pode-se adicionar linhas verticais a cada 5 entradas para agrupá-las e assim ter alguma linha guia a seguir até os pontos de dados ou, em segundo lugar, adicionar retângulos coloridos no fundo que têm o mesmo propósito de servir de orientação onde estou no grupo.
Pessoalmente prefiro a segunda opção, pois não atrapalha tanto quanto as linhas verticais puras, que poderiam ser mal interpretadas como grandes barras de erro e portanto é a mostrada abaixo.
Para mais detalhes sobre como funciona, dê uma olhada nos comentários no código.
% 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}
Responder2
O problema com o cycle list namemecanismo pgfplots, pelo menos até onde entendi o manual, é que o elemento da lista de ciclos é selecionado com base no número do lote atual, que é incrementado por \addplote amigos. Portanto, se você tiver apenas um \addplotem seu eixo, o próximo elemento na lista de ciclos nunca será selecionado.
Eu consegui inventar umparcialsolução. No entanto, tem algumas desvantagens:
- Está lento. Alguns podem até dizermuitolento (quase 30 segundos de tempo de compilação na minha máquina, em comparação com cerca de 2 segundos para o seu código original). Isso ocorre porque toda a tabela é processada durante cada ciclo de plotagem, apenas paratodos menos umelemento a ser descartado. Um tanto deselegante, devo admitir. Se alguém puder criar uma variante menos desajeitada, eu ficaria muito interessado nisso.
- Ele não alterna os estilos de rótulo de escala. Eu vasculhei o
pgfplotsmanual e mexi nos rótulos e nas coordenadas simbólicas, mas, infelizmente, as coisas não fizeram o que eu desejava. Faz sentido, já que os rótulos dos ticks são definidos para todo oaxis, e, portanto, não há ciclo. Postarei uma atualização se algum dia encontrar uma solução viável, porque isso seria realmente uma coisa muito boa de se ter, concordo com você.
Última coisa antes da solução real: crédito pelo x filter/.codetrecho a ser analisadoesta respostae a Stefan Pinnow pelo trecho de código de barras de erro dea resposta dele aqui.
De qualquer forma, o código:
\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}
O resultado:
