pgfplots
In pgfplots, is it possible to have meta data affect the size of markers instead of
their colour?
I am referring to the set of commands described in section 4.4.10 about
scatter plots in the pgfplots manual.
Here is one of the provided examples :
\begin{tikzpicture}
\begin{axis}
\addplot+[scatter,
samples=50,scatter src=y]
{x^3};
\end{axis}
\end{tikzpicture}
This happens because PGFPlots only uses one "stack" per axis: You're stacking the second confidence interval on top of the first. The easiest way to fix this is probably to use the approach described in "Is there an easy way of using line thickness as error indicator in a plot?": After plotting the first confidence interval, stack the upper bound on top again, using stack dir=minus. That way, the stack will be reset to zero, and you can draw the second confidence interval in the same fashion as the first:
\documentclass{standalone}
\usepackage{pgfplots, tikz}
\usepackage{pgfplotstable}
\pgfplotstableread{
temps y_h y_h__inf y_h__sup y_f y_f__inf y_f__sup
1 0.237340 0.135170 0.339511 0.237653 0.135482 0.339823
2 0.561320 0.422007 0.700633 0.165871 0.026558 0.305184
3 0.694760 0.534205 0.855314 0.074856 -0.085698 0.235411
4 0.728306 0.560179 0.896432 0.003361 -0.164765 0.171487
5 0.711710 0.544944 0.878477 -0.044582 -0.211349 0.122184
6 0.671241 0.511191 0.831291 -0.073347 -0.233397 0.086703
7 0.621177 0.471219 0.771135 -0.088418 -0.238376 0.061540
8 0.569354 0.431826 0.706882 -0.094382 -0.231910 0.043146
9 0.519973 0.396571 0.643376 -0.094619 -0.218022 0.028783
10 0.475121 0.366990 0.583251 -0.091467 -0.199598 0.016664
}{\table}
\begin{document}
\begin{tikzpicture}
\begin{axis}
% y_h confidence interval
\addplot [stack plots=y, fill=none, draw=none, forget plot] table [x=temps, y=y_h__inf] {\table} \closedcycle;
\addplot [stack plots=y, fill=gray!50, opacity=0.4, draw opacity=0, area legend] table [x=temps, y expr=\thisrow{y_h__sup}-\thisrow{y_h__inf}] {\table} \closedcycle;
% subtract the upper bound so our stack is back at zero
\addplot [stack plots=y, stack dir=minus, forget plot, draw=none] table [x=temps, y=y_h__sup] {\table};
% y_f confidence interval
\addplot [stack plots=y, fill=none, draw=none, forget plot] table [x=temps, y=y_f__inf] {\table} \closedcycle;
\addplot [stack plots=y, fill=gray!50, opacity=0.4, draw opacity=0, area legend] table [x=temps, y expr=\thisrow{y_f__sup}-\thisrow{y_f__inf}] {\table} \closedcycle;
% the line plots (y_h and y_f)
\addplot [stack plots=false, very thick,smooth,blue] table [x=temps, y=y_h] {\table};
\addplot [stack plots=false, very thick,smooth,blue] table [x=temps, y=y_f] {\table};
\end{axis}
\end{tikzpicture}
\end{document}
You can set clip mode=individual: That way, the plot markers are placed directly on top of their respective lines, and later plots are drawn on top of earlier plots:
\documentclass[12pt]{standalone}
\usepackage{pgfplots}
\pgfplotsset{compat=newest}
\pgfplotsset{plot coordinates/math parser=false}
\usetikzlibrary{plotmarks}
\begin{document}
\tikzset{every picture/.style={mark repeat=2}}
\begin{tikzpicture}
\begin{axis}[%
width=13pc,
height=16pc,
scale only axis,
xmin=-150,
xmax=150,
xlabel={Magnetic field strength $H$ (A/m)},
xmajorgrids,
ymin=-0.2,
ymax=0.2,
ylabel={Magnetic Flux density $B$ (T)},
ymajorgrids,
clip mode=individual
]
\addplot [
color=red,
solid,
line width=1.0pt,
mark size=2.5pt,
mark=x,
mark options={solid},
forget plot
]
table[row sep=crcr]{
-50.5816497802734 -0.1065673828125\\
-49.0505828857422 -0.105224609375\\
-47.0889282226563 -0.10009765625\\
-45.5736541748047 -0.10009765625\\
-44.0070343017578 -0.10009765625\\
-42.3993225097656 -0.09765625\\
-40.689697265625 -0.092529296875\\
-39.3039855957031 -0.092529296875\\
-37.411865234375 -0.0899658203125\\
-36.3816680908203 -0.088623046875\\
-34.6704559326172 -0.0848388671875\\
-33.4948883056641 -0.0836181640625\\
-31.8468933105469 -0.0810546875\\
-31.0220947265625 -0.0771484375\\
-28.3865661621094 -0.0784912109375\\
-33.0524749755859 -0.075927734375\\
-69.1204986572266 -0.0911865234375\\
-94.3042755126953 -0.1141357421875\\
-113.249969482422 -0.138427734375\\
-126.323394775391 -0.16650390625\\
-134.85334777832 -0.189453125\\
-141.303146362305 -0.2110595703125\\
};
\addplot [
color=blue,
solid,
line width=1.0pt,
mark size=1.8pt,
mark=square,
mark options={solid},
forget plot
]
table[row sep=crcr]{
-78.3354034423828 -0.0433349609375\\
-97.7914581298828 -0.0433349609375\\
-92.4113616943359 -0.0623779296875\\
-83.7226104736328 -0.05859375\\
-104.369247436523 -0.0751953125\\
-84.6027069091797 -0.076416015625\\
-103.263214111328 -0.0789794921875\\
-99.5595550537109 -0.096923828125\\
-89.9598999023438 -0.096923828125\\
-110.728988647461 -0.1083984375\\
-90.9166259765625 -0.1134033203125\\
-109.801498413086 -0.11474609375\\
-106.663497924805 -0.132568359375\\
-96.3883666992188 -0.132568359375\\
-117.817138671875 -0.1466064453125\\
-97.7511749267578 -0.150390625\\
-116.598907470703 -0.154296875\\
-113.685287475586 -0.1695556640625\\
-104.640228271484 -0.168212890625\\
-126.403182983398 -0.1810302734375\\
-106.021209716797 -0.18994140625\\
-126.411865234375 -0.188720703125\\
-122.742980957031 -0.2103271484375\\
};
\addplot [
color=green,
solid,
line width=1.0pt,
mark size=2.5pt,
mark=o,
mark options={solid},
forget plot
]
table[row sep=crcr]{
-94.0001068115234 -0.11993408203125\\
-102.187194824219 -0.12750244140625\\
-107.515151977539 -0.13775634765625\\
-110.865661621094 -0.14544677734375\\
-113.445907592773 -0.15435791015625\\
-115.765426635742 -0.16583251953125\\
-117.892974853516 -0.17474365234375\\
-119.951797485352 -0.18243408203125\\
-122.001922607422 -0.19256591796875\\
-124.731475830078 -0.19891357421875\\
-126.528793334961 -0.20916748046875\\
};
\draw [<->,thick] (axis cs:-120,-0.155) -- node[below]{d$H$} (axis cs:-30,-0.155) ;
\draw [<->,thick] (axis cs:-26,-0.155) -- node[right]{d$B$} (axis cs:-26,-0.076) ;
\end{axis}
\end{tikzpicture}%
\end{document}
Best Answer
Yes, by using the
scatter/@pre marker codeto adjust the value ofmark sizedepending on\pgfplotspointmetatransformed(which by default contains theyvalue scaled to a range from 0 to 1000):