pgfplots Histogram with Curves
Variations on this question have been asked many times before, but I have not been able to find a working solution. The closest I have seen are discussions on other stackexchanges concerning how to produce this with R.
I am trying to produce the following plot, with red and blue lines (the position of the lines is merely an estimate of where I expect them to appear in a solution, which must calculate their position based on the information in the data.csv file):
Part of my difficulty in asking this question is that I am not sure of the correct terminology to describe the red and the blue lines that I have drawn on the plot. I do not think they are gaussian curves as they are not symmetrical, but nevertheless I have included gaussian code in the below MWE in case my implementation of it is simply wrong (there is a very, very small gaussian plot on the bottom-left of the above chart that I have clearly been unsuccessful in implementing).
MWE
documentclass{standalone}
usepackage{pgfplots}
usepackage{filecontents}
begin{document}
begin{filecontents*}{data.csv}
COLUMNA,COLUMNB
38,22
85,18
104,82
56,20
202,57
64,15
115,22
8,20
120,14
81,24
100,28
39,11
81,29
25,18
122,51
93,10
45,19
103,11
33,24
60,24
50,47
61,24
46,14
45,15
84,72
62,20
50,13
84,38
52,19
108,5
182,34
145,19
117,12
34,59
43,19
42,26
170,18
31,27
86,18
183,24
36,15
,21
,16
,26
end{filecontents*}
pgfmathdeclarefunction{gauss}{2}{pgfmathparse{1/(#2*sqrt(2*pi))*exp(-((x-#1)^2)/(2*#2^2))}%
}
begin{tikzpicture}
centering
begin{axis}[
ybar,
/pgf/number format/.cd,
use comma,
1000 sep={},
title={Title},
xlabel={Bins},
ylabel={Instances},
x label style={at={(axis description cs:0.5,-0.1)},anchor=north},
y label style={at={(axis description cs:0.05,0.5)},anchor=south},
%xticklabel style={rotate=90, anchor=near xticklabel},
xtick distance=50,
ytick distance=2,
width=textwidth, %10.5cm
height=6cm,
axis y line*=left,
axis x line*=bottom,
ymin=0,
xmin=0,
xticklabel interval boundaries,
]
%%%
addplot +[blue,
fill opacity=0.5,
hist={bins=22,
data min=0,
data max=220,
}
] table[y=COLUMNA, col sep=comma] {data.csv};
addlegendentry{Series A}
addplot +[red,
fill opacity=0.5,
hist={bins=22,
data min=0,
data max=220,
}
] table[y=COLUMNB, col sep=comma] {data.csv};
addlegendentry{Series A}
addplot [fill=red!50, draw=none, domain=0:220] {gauss(1.86,2.12)};
end{axis}
end{tikzpicture}
end{document}
pgfplots statistics histogram
add a comment |
Variations on this question have been asked many times before, but I have not been able to find a working solution. The closest I have seen are discussions on other stackexchanges concerning how to produce this with R.
I am trying to produce the following plot, with red and blue lines (the position of the lines is merely an estimate of where I expect them to appear in a solution, which must calculate their position based on the information in the data.csv file):
Part of my difficulty in asking this question is that I am not sure of the correct terminology to describe the red and the blue lines that I have drawn on the plot. I do not think they are gaussian curves as they are not symmetrical, but nevertheless I have included gaussian code in the below MWE in case my implementation of it is simply wrong (there is a very, very small gaussian plot on the bottom-left of the above chart that I have clearly been unsuccessful in implementing).
MWE
documentclass{standalone}
usepackage{pgfplots}
usepackage{filecontents}
begin{document}
begin{filecontents*}{data.csv}
COLUMNA,COLUMNB
38,22
85,18
104,82
56,20
202,57
64,15
115,22
8,20
120,14
81,24
100,28
39,11
81,29
25,18
122,51
93,10
45,19
103,11
33,24
60,24
50,47
61,24
46,14
45,15
84,72
62,20
50,13
84,38
52,19
108,5
182,34
145,19
117,12
34,59
43,19
42,26
170,18
31,27
86,18
183,24
36,15
,21
,16
,26
end{filecontents*}
pgfmathdeclarefunction{gauss}{2}{pgfmathparse{1/(#2*sqrt(2*pi))*exp(-((x-#1)^2)/(2*#2^2))}%
}
begin{tikzpicture}
centering
begin{axis}[
ybar,
/pgf/number format/.cd,
use comma,
1000 sep={},
title={Title},
xlabel={Bins},
ylabel={Instances},
x label style={at={(axis description cs:0.5,-0.1)},anchor=north},
y label style={at={(axis description cs:0.05,0.5)},anchor=south},
%xticklabel style={rotate=90, anchor=near xticklabel},
xtick distance=50,
ytick distance=2,
width=textwidth, %10.5cm
height=6cm,
axis y line*=left,
axis x line*=bottom,
ymin=0,
xmin=0,
xticklabel interval boundaries,
]
%%%
addplot +[blue,
fill opacity=0.5,
hist={bins=22,
data min=0,
data max=220,
}
] table[y=COLUMNA, col sep=comma] {data.csv};
addlegendentry{Series A}
addplot +[red,
fill opacity=0.5,
hist={bins=22,
data min=0,
data max=220,
}
] table[y=COLUMNB, col sep=comma] {data.csv};
addlegendentry{Series A}
addplot [fill=red!50, draw=none, domain=0:220] {gauss(1.86,2.12)};
end{axis}
end{tikzpicture}
end{document}
pgfplots statistics histogram
add a comment |
Variations on this question have been asked many times before, but I have not been able to find a working solution. The closest I have seen are discussions on other stackexchanges concerning how to produce this with R.
I am trying to produce the following plot, with red and blue lines (the position of the lines is merely an estimate of where I expect them to appear in a solution, which must calculate their position based on the information in the data.csv file):
Part of my difficulty in asking this question is that I am not sure of the correct terminology to describe the red and the blue lines that I have drawn on the plot. I do not think they are gaussian curves as they are not symmetrical, but nevertheless I have included gaussian code in the below MWE in case my implementation of it is simply wrong (there is a very, very small gaussian plot on the bottom-left of the above chart that I have clearly been unsuccessful in implementing).
MWE
documentclass{standalone}
usepackage{pgfplots}
usepackage{filecontents}
begin{document}
begin{filecontents*}{data.csv}
COLUMNA,COLUMNB
38,22
85,18
104,82
56,20
202,57
64,15
115,22
8,20
120,14
81,24
100,28
39,11
81,29
25,18
122,51
93,10
45,19
103,11
33,24
60,24
50,47
61,24
46,14
45,15
84,72
62,20
50,13
84,38
52,19
108,5
182,34
145,19
117,12
34,59
43,19
42,26
170,18
31,27
86,18
183,24
36,15
,21
,16
,26
end{filecontents*}
pgfmathdeclarefunction{gauss}{2}{pgfmathparse{1/(#2*sqrt(2*pi))*exp(-((x-#1)^2)/(2*#2^2))}%
}
begin{tikzpicture}
centering
begin{axis}[
ybar,
/pgf/number format/.cd,
use comma,
1000 sep={},
title={Title},
xlabel={Bins},
ylabel={Instances},
x label style={at={(axis description cs:0.5,-0.1)},anchor=north},
y label style={at={(axis description cs:0.05,0.5)},anchor=south},
%xticklabel style={rotate=90, anchor=near xticklabel},
xtick distance=50,
ytick distance=2,
width=textwidth, %10.5cm
height=6cm,
axis y line*=left,
axis x line*=bottom,
ymin=0,
xmin=0,
xticklabel interval boundaries,
]
%%%
addplot +[blue,
fill opacity=0.5,
hist={bins=22,
data min=0,
data max=220,
}
] table[y=COLUMNA, col sep=comma] {data.csv};
addlegendentry{Series A}
addplot +[red,
fill opacity=0.5,
hist={bins=22,
data min=0,
data max=220,
}
] table[y=COLUMNB, col sep=comma] {data.csv};
addlegendentry{Series A}
addplot [fill=red!50, draw=none, domain=0:220] {gauss(1.86,2.12)};
end{axis}
end{tikzpicture}
end{document}
pgfplots statistics histogram
Variations on this question have been asked many times before, but I have not been able to find a working solution. The closest I have seen are discussions on other stackexchanges concerning how to produce this with R.
I am trying to produce the following plot, with red and blue lines (the position of the lines is merely an estimate of where I expect them to appear in a solution, which must calculate their position based on the information in the data.csv file):
Part of my difficulty in asking this question is that I am not sure of the correct terminology to describe the red and the blue lines that I have drawn on the plot. I do not think they are gaussian curves as they are not symmetrical, but nevertheless I have included gaussian code in the below MWE in case my implementation of it is simply wrong (there is a very, very small gaussian plot on the bottom-left of the above chart that I have clearly been unsuccessful in implementing).
MWE
documentclass{standalone}
usepackage{pgfplots}
usepackage{filecontents}
begin{document}
begin{filecontents*}{data.csv}
COLUMNA,COLUMNB
38,22
85,18
104,82
56,20
202,57
64,15
115,22
8,20
120,14
81,24
100,28
39,11
81,29
25,18
122,51
93,10
45,19
103,11
33,24
60,24
50,47
61,24
46,14
45,15
84,72
62,20
50,13
84,38
52,19
108,5
182,34
145,19
117,12
34,59
43,19
42,26
170,18
31,27
86,18
183,24
36,15
,21
,16
,26
end{filecontents*}
pgfmathdeclarefunction{gauss}{2}{pgfmathparse{1/(#2*sqrt(2*pi))*exp(-((x-#1)^2)/(2*#2^2))}%
}
begin{tikzpicture}
centering
begin{axis}[
ybar,
/pgf/number format/.cd,
use comma,
1000 sep={},
title={Title},
xlabel={Bins},
ylabel={Instances},
x label style={at={(axis description cs:0.5,-0.1)},anchor=north},
y label style={at={(axis description cs:0.05,0.5)},anchor=south},
%xticklabel style={rotate=90, anchor=near xticklabel},
xtick distance=50,
ytick distance=2,
width=textwidth, %10.5cm
height=6cm,
axis y line*=left,
axis x line*=bottom,
ymin=0,
xmin=0,
xticklabel interval boundaries,
]
%%%
addplot +[blue,
fill opacity=0.5,
hist={bins=22,
data min=0,
data max=220,
}
] table[y=COLUMNA, col sep=comma] {data.csv};
addlegendentry{Series A}
addplot +[red,
fill opacity=0.5,
hist={bins=22,
data min=0,
data max=220,
}
] table[y=COLUMNB, col sep=comma] {data.csv};
addlegendentry{Series A}
addplot [fill=red!50, draw=none, domain=0:220] {gauss(1.86,2.12)};
end{axis}
end{tikzpicture}
end{document}
pgfplots statistics histogram
pgfplots statistics histogram
asked 6 mins ago
CraigCraig
17712
17712
add a comment |
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