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-rw-r--r--Master/texmf-dist/doc/latex/tikzviolinplots/AFR.csv48
-rw-r--r--Master/texmf-dist/doc/latex/tikzviolinplots/AMR.csv34
-rw-r--r--Master/texmf-dist/doc/latex/tikzviolinplots/EMR.csv22
-rw-r--r--Master/texmf-dist/doc/latex/tikzviolinplots/EUR.csv51
-rw-r--r--Master/texmf-dist/doc/latex/tikzviolinplots/LICENSE416
-rw-r--r--Master/texmf-dist/doc/latex/tikzviolinplots/README3
-rw-r--r--Master/texmf-dist/doc/latex/tikzviolinplots/README.md7
-rw-r--r--Master/texmf-dist/doc/latex/tikzviolinplots/SEAR.csv12
-rw-r--r--Master/texmf-dist/doc/latex/tikzviolinplots/WPR.csv21
-rw-r--r--Master/texmf-dist/doc/latex/tikzviolinplots/tikzviolinplots.pdfbin0 -> 352446 bytes
-rw-r--r--Master/texmf-dist/doc/latex/tikzviolinplots/tikzviolinplots.tex1180
-rw-r--r--Master/texmf-dist/tex/latex/tikzviolinplots/tikzviolinplots.sty682
-rwxr-xr-xMaster/tlpkg/bin/tlpkg-ctan-check2
-rw-r--r--Master/tlpkg/tlpsrc/collection-pictures.tlpsrc1
-rw-r--r--Master/tlpkg/tlpsrc/tikzviolinplots.tlpsrc0
15 files changed, 2478 insertions, 1 deletions
diff --git a/Master/texmf-dist/doc/latex/tikzviolinplots/AFR.csv b/Master/texmf-dist/doc/latex/tikzviolinplots/AFR.csv
new file mode 100644
index 00000000000..a8c62270dd5
--- /dev/null
+++ b/Master/texmf-dist/doc/latex/tikzviolinplots/AFR.csv
@@ -0,0 +1,48 @@
+Country,Year,LifeExpectancyAtBirthMale,LifeExpectancyAtBirthFemale
+Algeria,2019,76.2,78.1
+Angola,2019,60.7,65.5
+Benin,2019,61.2,65.7
+Botswana,2019,58.9,65.5
+Burkina Faso,2019,60.1,65.2
+Burundi,2019,61.5,66.1
+Cabo Verde,2019,69.9,77.9
+Cameroon,2019,60.3,64.5
+Central African Republic,2019,50.2,56.3
+Chad,2019,58,61.3
+Comoros,2019,65.9,68.9
+Congo,2019,63.8,65.6
+Côte d'Ivoire,2019,60.5,65.8
+Democratic Republic of the Congo,2019,60,64.8
+Equatorial Guinea,2019,60.9,63.6
+Eritrea,2019,61.3,67.1
+Eswatini,2019,53.4,63.2
+Ethiopia,2019,66.9,70.5
+Gabon,2019,63.6,69.7
+Gambia,2019,63.4,67.7
+Ghana,2019,63.7,69.2
+Guinea,2019,59.5,62.3
+Guinea-Bissau,2019,57.4,63
+Kenya,2019,63.7,68.4
+Lesotho,2019,47.7,54.2
+Liberia,2019,63.2,65
+Madagascar,2019,64.1,66.6
+Malawi,2019,62.3,68.9
+Mali,2019,62.2,63.4
+Mauritania,2019,68.1,68.7
+Mauritius,2019,71,77.3
+Mozambique,2019,54.5,61.7
+Namibia,2019,60.6,68.4
+Niger,2019,62.1,64.6
+Nigeria,2019,61.2,64.1
+Rwanda,2019,66.9,71.2
+Sao Tome and Principe,2019,68.8,72
+Senegal,2019,66.8,70.1
+Seychelles,2019,70,77.1
+Sierra Leone,2019,59.6,61.9
+South Africa,2019,62.2,68.3
+South Sudan,2019,60.8,64.8
+Togo,2019,61.5,67.2
+Uganda,2019,63.2,70.1
+Tanzania,2019,65.4,69.3
+Zambia,2019,59.5,65.4
+Zimbabwe,2019,57.5,63.6
diff --git a/Master/texmf-dist/doc/latex/tikzviolinplots/AMR.csv b/Master/texmf-dist/doc/latex/tikzviolinplots/AMR.csv
new file mode 100644
index 00000000000..07e9541dfd8
--- /dev/null
+++ b/Master/texmf-dist/doc/latex/tikzviolinplots/AMR.csv
@@ -0,0 +1,34 @@
+Country,Year,LifeExpectancyAtBirthMale,LifeExpectancyAtBirthFemale
+Antigua and Barbuda,2019,74.9,78
+Argentina,2019,73.5,79.5
+Bahamas,2019,69.9,76.6
+Barbados,2019,74.3,77.7
+Belize,2019,71.4,77.8
+Bolivia (Plurinational State of),2019,71.1,73.1
+Brazil,2019,72.4,79.4
+Canada,2019,80.4,84.1
+Chile,2019,78.1,83.2
+Colombia,2019,76.7,81.9
+Costa Rica,2019,78.3,83.4
+Cuba,2019,75.4,80.3
+Dominican Republic,2019,69.8,76.2
+Ecuador,2019,76.4,80.5
+El Salvador,2019,70.6,79.1
+Grenada,2019,70.6,75.3
+Guatemala,2019,69,75
+Guyana,2019,62.5,69.4
+Haiti,2019,63.3,64.8
+Honduras,2019,70.7,73.2
+Jamaica,2019,74.4,77.7
+Mexico,2019,73.1,78.9
+Nicaragua,2019,72.1,77.9
+Panama,2019,76.6,82.1
+Paraguay,2019,73.1,78.8
+Peru,2019,78.5,81.3
+Saint Lucia,2019,71.3,77.7
+Saint Vincent and the Grenadines,2019,71.3,75.3
+Suriname,2019,68.5,74.6
+Trinidad and Tobago,2019,72.5,79.9
+United States of America,2019,76.3,80.7
+Uruguay,2019,73.5,80.6
+Venezuela (Bolivarian Republic of),2019,69.9,78.2
diff --git a/Master/texmf-dist/doc/latex/tikzviolinplots/EMR.csv b/Master/texmf-dist/doc/latex/tikzviolinplots/EMR.csv
new file mode 100644
index 00000000000..d08fdda5426
--- /dev/null
+++ b/Master/texmf-dist/doc/latex/tikzviolinplots/EMR.csv
@@ -0,0 +1,22 @@
+Country,Year,LifeExpectancyAtBirthMale,LifeExpectancyAtBirthFemale
+Afghanistan,2019,63.3,63.2
+Bahrain,2019,75,77
+Djibouti,2019,64.1,67.8
+Egypt,2019,69.6,74.1
+Iran (Islamic Republic of),2019,75.7,79.1
+Iraq,2019,69.9,75
+Jordan,2019,77,78.8
+Kuwait,2019,79.3,83.9
+Lebanon,2019,74,79.2
+Libya,2019,74.2,77.3
+Morocco,2019,71.7,74.3
+Oman,2019,73,75.3
+Pakistan,2019,64.6,66.7
+Qatar,2019,78,76.6
+Saudi Arabia,2019,73.1,76.1
+Somalia,2019,54,59.2
+Sudan,2019,67.6,70.8
+Syrian Arab Republic,2019,71.2,74.3
+Tunisia,2019,74.9,79.2
+United Arab Emirates,2019,75.1,78.4
+Yemen,2019,64.4,68.9
diff --git a/Master/texmf-dist/doc/latex/tikzviolinplots/EUR.csv b/Master/texmf-dist/doc/latex/tikzviolinplots/EUR.csv
new file mode 100644
index 00000000000..1d296e41d2c
--- /dev/null
+++ b/Master/texmf-dist/doc/latex/tikzviolinplots/EUR.csv
@@ -0,0 +1,51 @@
+Country,Year,LifeExpectancyAtBirthMale,LifeExpectancyAtBirthFemale
+Albania,2019,76.3,79.9
+Armenia,2019,72.5,79.2
+Austria,2019,79.4,83.8
+Azerbaijan,2019,68.8,74.1
+Belarus,2019,69.7,79.6
+Belgium,2019,79.3,83.5
+Bosnia and Herzegovina,2019,74.4,79.1
+Bulgaria,2019,71.6,78.6
+Croatia,2019,75.5,81.6
+Cyprus,2019,81.1,85.1
+Czechia,2019,76.3,81.9
+Denmark,2019,79.6,83
+Estonia,2019,74.7,82.6
+Finland,2019,79.2,84
+France,2019,79.8,85.1
+Georgia,2019,68.8,77.8
+Germany,2019,78.7,84.8
+Greece,2019,78.6,83.6
+Hungary,2019,73.1,79.6
+Iceland,2019,80.8,83.9
+Ireland,2019,80.2,83.5
+Israel,2019,80.8,84.4
+Italy,2019,80.9,84.9
+Kazakhstan,2019,70,77.6
+Kyrgyzstan,2019,70.7,77.3
+Latvia,2019,70.6,79.8
+Lithuania,2019,71.2,80.4
+Luxembourg,2019,80.6,84.2
+Malta,2019,79.9,83.8
+Montenegro,2019,73.2,78.7
+Netherlands,2019,80.4,83.1
+Norway,2019,81.1,84.1
+Poland,2019,74.5,81.9
+Portugal,2019,78.6,84.4
+Republic of Moldova,2019,69.3,77.1
+North Macedonia,2019,72.8,76.9
+Romania,2019,72,79.3
+Russian Federation,2019,68.2,78
+Serbia,2019,73.5,78.3
+Slovakia,2019,74.8,81.4
+Slovenia,2019,78.6,84.1
+Spain,2019,80.7,85.7
+Sweden,2019,80.8,84
+Switzerland,2019,81.8,85.1
+Tajikistan,2019,67.6,71.5
+Turkey,2019,76.4,80.7
+Turkmenistan,2019,66.5,73
+Ukraine,2019,68,77.8
+United Kingdom of Great Britain and Northern Ireland,2019,79.8,83
+Uzbekistan,2019,70.8,75.2
diff --git a/Master/texmf-dist/doc/latex/tikzviolinplots/LICENSE b/Master/texmf-dist/doc/latex/tikzviolinplots/LICENSE
new file mode 100644
index 00000000000..22443139013
--- /dev/null
+++ b/Master/texmf-dist/doc/latex/tikzviolinplots/LICENSE
@@ -0,0 +1,416 @@
+The LaTeX Project Public License
+=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
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+Copyright 1999 2002-2008 LaTeX3 Project
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+section was added in order to ensure that your Work remains useful to
+the community even when you can no longer maintain and support it
+yourself.
+
+Derived Works That Are Not Replacements
+---------------------------------------
+
+Several clauses of the LPPL specify means to provide reliability and
+stability for the user community. They therefore concern themselves
+with the case that a Derived Work is intended to be used as a
+(compatible or incompatible) replacement of the original Work. If
+this is not the case (e.g., if a few lines of code are reused for a
+completely different task), then clauses 6b and 6d shall not apply.
+
+
+Important Recommendations
+-------------------------
+
+ Defining What Constitutes the Work
+
+ The LPPL requires that distributions of the Work contain all the
+ files of the Work. It is therefore important that you provide a
+ way for the licensee to determine which files constitute the Work.
+ This could, for example, be achieved by explicitly listing all the
+ files of the Work near the copyright notice of each file or by
+ using a line such as:
+
+ % This work consists of all files listed in manifest.txt.
+
+ in that place. In the absence of an unequivocal list it might be
+ impossible for the licensee to determine what is considered by you
+ to comprise the Work and, in such a case, the licensee would be
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+
diff --git a/Master/texmf-dist/doc/latex/tikzviolinplots/README b/Master/texmf-dist/doc/latex/tikzviolinplots/README
new file mode 100644
index 00000000000..b68e3f94eea
--- /dev/null
+++ b/Master/texmf-dist/doc/latex/tikzviolinplots/README
@@ -0,0 +1,3 @@
+This package provides comands to draw violin plots from data, inside a
+tikzpicture environment.
+
diff --git a/Master/texmf-dist/doc/latex/tikzviolinplots/README.md b/Master/texmf-dist/doc/latex/tikzviolinplots/README.md
new file mode 100644
index 00000000000..b8717b327eb
--- /dev/null
+++ b/Master/texmf-dist/doc/latex/tikzviolinplots/README.md
@@ -0,0 +1,7 @@
+tikzviolinplots
+===============
+
+This package is used to draw violin plots inside a `tikzpicture` environment,
+using data from a file. For more information, please refer to
+`tikzviolinplots.pdf`.
+
diff --git a/Master/texmf-dist/doc/latex/tikzviolinplots/SEAR.csv b/Master/texmf-dist/doc/latex/tikzviolinplots/SEAR.csv
new file mode 100644
index 00000000000..d0a049eb38b
--- /dev/null
+++ b/Master/texmf-dist/doc/latex/tikzviolinplots/SEAR.csv
@@ -0,0 +1,12 @@
+Country,Year,LifeExpectancyAtBirthMale,LifeExpectancyAtBirthFemale
+Bangladesh,2019,73,75.6
+Bhutan,2019,72,74.4
+Democratic People's Republic of Korea,2019,69.3,75.7
+India,2019,69.5,72.2
+Indonesia,2019,69.4,73.3
+Maldives,2019,78.6,80.8
+Myanmar,2019,65.9,72.2
+Nepal,2019,68.9,72.7
+Sri Lanka,2019,73.8,79.8
+Thailand,2019,74.4,81
+Timor-Leste,2019,67.9,71.4
diff --git a/Master/texmf-dist/doc/latex/tikzviolinplots/WPR.csv b/Master/texmf-dist/doc/latex/tikzviolinplots/WPR.csv
new file mode 100644
index 00000000000..892c9d768d5
--- /dev/null
+++ b/Master/texmf-dist/doc/latex/tikzviolinplots/WPR.csv
@@ -0,0 +1,21 @@
+Country,Year,LifeExpectancyAtBirthMale,LifeExpectancyAtBirthFemale
+Australia,2019,81.3,84.8
+Brunei Darussalam,2019,73.4,75.4
+China,2019,74.7,80.5
+Fiji,2019,65.9,70.3
+Japan,2019,81.5,86.9
+Kiribati,2019,56.1,62.8
+Lao People's Democratic Republic,2019,66.2,70.9
+Malaysia,2019,72.6,77.1
+Micronesia (Federated States of),2019,60.3,66
+Mongolia,2019,63.8,72.8
+New Zealand,2019,80.4,83.5
+Papua New Guinea,2019,63.4,67.4
+Philippines,2019,67.4,73.6
+Republic of Korea,2019,80.3,86.1
+Samoa,2019,69.2,71.8
+Singapore,2019,81,85.5
+Solomon Islands,2019,62.9,67.9
+Tonga,2019,69.8,75.6
+Vanuatu,2019,62.7,68.3
+Viet Nam,2019,69.6,78.1
diff --git a/Master/texmf-dist/doc/latex/tikzviolinplots/tikzviolinplots.pdf b/Master/texmf-dist/doc/latex/tikzviolinplots/tikzviolinplots.pdf
new file mode 100644
index 00000000000..3aa58bf1579
--- /dev/null
+++ b/Master/texmf-dist/doc/latex/tikzviolinplots/tikzviolinplots.pdf
Binary files differ
diff --git a/Master/texmf-dist/doc/latex/tikzviolinplots/tikzviolinplots.tex b/Master/texmf-dist/doc/latex/tikzviolinplots/tikzviolinplots.tex
new file mode 100644
index 00000000000..e53191ffe7a
--- /dev/null
+++ b/Master/texmf-dist/doc/latex/tikzviolinplots/tikzviolinplots.tex
@@ -0,0 +1,1180 @@
+%% tikzviolinplots.tex
+%% Copyright 2023 Pedro Callil-Soares
+%
+% This work may be distributed and/or modified under the
+% conditions of the LaTeX Project Public License, either version 1.3
+% of this license or (at your option) any later version.
+% The latest version of this license is in
+% http://www.latex-project.org/lppl.txt
+% and version 1.3 or later is part of all distributions of LaTeX
+% version 2005/12/01 or later.
+%
+% This work has the LPPL maintenance status `maintained'.
+%
+% The Current Maintainer of this work is Pedro Callil-Soares.
+%
+% This work consists of the files tikzviolinplots.sty and
+% tikzviolinplots.tex.
+
+\documentclass{article}
+
+\usepackage{amsmath}
+\usepackage{pgfplots}
+\pgfplotsset{width=\textwidth,compat=1.18}
+\usepgfplotslibrary{statistics}
+\usepackage{tikzviolinplots}
+\usepgfplotslibrary{external}
+\tikzexternalize
+\usetikzlibrary{arrows.meta}
+\usetikzlibrary{decorations.text}
+\usetikzlibrary{decorations.pathmorphing}
+\usepackage{minted}
+\usemintedstyle{gruvbox-light}
+\usepackage{scontents}
+\usepackage{wasysym}
+\usepackage{microtype}
+\usepackage{subcaption}
+\usepackage{hyperref}
+
+\begin{scontents}[write-out=violinandboxplotexample.dat]
+A B C D
+0.876 0.574 2.175 1.684
+1.015 0.822 2.121 2.290
+0.995 1.266 1.916 2.184
+1.101 0.740 2.044 2.065
+1.222 0.636 2.004 2.248
+0.712 1.753 2.038 2.200
+1.063 0.873 1.974 1.865
+0.973 1.020 2.145 1.895
+1.174 0.763 2.052 2.240
+1.057 1.293 2.079 2.360
+1.004 0.853 2.064 1.695
+0.909 0.694 2.136 1.837
+1.108 0.849 2.000 1.744
+1.210 0.468 2.010 1.820
+0.958 0.767 1.824 2.158
+1.119 0.940 2.034 1.846
+1.000 0.962 1.967 2.545
+0.954 1.551 1.833 1.816
+0.918 0.755 1.914 2.369
+1.093 0.973 1.997 1.543
+\end{scontents}
+
+\begin{scontents}[write-out=example.dat]
+A B C D E
+0.3 -2.1 3.50 2.89 1.00
+0.41 -1.9 3.55 2.88 1.06
+0.45 -1.5 3.55 3.13 1.00
+0.46 -1.3 3.60 2.69 1.20
+0.46 -1.3 3.60 2.78 1.00
+0.46 -1.27 3.60 2.83 1.35
+0.47 -1.26 3.65 3.08 1.00
+0.47 -1.26 3.65 3.08 1.53
+0.48 -1.24 3.65 2.73 1.00
+0.51 -1.2 3.65 3.08 1.73
+0.57 -1.13 3.65 3.24 1.00
+2.3 -1.02 3.70 3.10 1.95
+2.41 -0.9 3.70 2.98 1.00
+2.46 -0.2 3.70 2.98 2.21
+2.47 0.0 3.75 3.04 1.00
+2.48 0.1 3.80 3.24 2.49
+2.51 0.3 3.85 3.16 1.00
+2.57 0.5 3.85 3.30 3.04
+\end{scontents}
+
+\title{The \texttt{tikzviolinplots} package}
+\author{Pedro Callil-Soares}
+\date{\today}
+
+\begin{document}
+
+\maketitle
+
+\tableofcontents
+
+\begin{abstract}
+ The package provides commands for violin plot creation and
+ the kernel density estimations required.
+\end{abstract}
+
+\section{Introduction}
+
+This package, through the use of the package \texttt{pgfplots}, allows the
+creation of violin plots in \LaTeX. Violin plots are similar to boxplots,
+but instead of a box signalling the average and quartiles, a kernel density
+estimator is plotted, as in equation \ref{eq:kde}, in which the function $k$
+(the kernel) is a probability distribution, the positive number $h$ (the
+bandwidth) is a smoothing factor and $n$ is the sample size.
+
+\begin{equation}
+ \label{eq:kde}
+ \textnormal{KDE}(x) = %
+ \cfrac{1}{nh}\sum_{i=1}^nk\left(\cfrac{x-x_i}{h}\right)
+\end{equation}
+
+A comparison between the two plots, showcasing its similarities, is
+shown in figures \ref{fig:example}. The violin plot in figure
+\ref{graph:violin_example} assumes normal data, and the bandwidth
+(smoothing factor $h$ in equation \ref{eq:kde}) is defined accordingly.
+
+\pgfplotsset{height=1.6\linewidth}
+
+\begin{figure}[h!]
+ \centering
+ \begin{subfigure}{0.5\textwidth}
+ \centering
+ \begin{tikzpicture}
+ \begin{axis}
+ [
+ boxplot/draw direction=y,
+ ymax=3, ymin=0,
+ xmin=0, xmax=5,
+ ymajorgrids=true,
+ xtick={1,2,3,4},
+ xticklabels={$\alpha$,$\beta$,$\gamma$,$\delta$},
+ ylabel={Some property},
+ ]
+ \addplot+[boxplot,
+ blue!100!red,
+ fill=blue!100!red,
+ fill opacity=0.50,
+ no marks]
+ table [y=A] {violinandboxplotexample.dat};
+ \addplot+[boxplot,
+ blue!66!red,
+ fill=blue!66!red,
+ fill opacity=0.50,
+ no marks]
+ table [y=B] {violinandboxplotexample.dat};
+ \addplot+[boxplot,
+ blue!33!red,
+ fill=blue!33!red,
+ fill opacity=0.50,
+ no marks]
+ table [y=C] {violinandboxplotexample.dat};
+ \addplot+[boxplot,
+ blue!0!red,
+ fill=blue!0!red,
+ fill opacity=0.50,
+ no marks]
+ table [y=D] {violinandboxplotexample.dat};
+ \end{axis}
+ \end{tikzpicture}
+ \caption{Box plot}
+ \label{graph:box_example}
+ \end{subfigure}%
+ \hfill%
+ \begin{subfigure}{0.5\textwidth}
+ \centering
+ \begin{tikzpicture}
+ \violinsetoptions[
+ averages,
+ data points,
+ scaled,
+ ]{
+ xmin=0,xmax=5,
+ ymin=0,ymax=3,
+ xlabel style={
+ yshift = {-2*height("a")}
+ },
+ ymajorgrids=true,
+ ylabel={Same property},
+ }
+ \violinplotwholefile[%
+ primary color=red,
+ secondary color=blue,
+ indexes={A,B,C,D},
+ spacing=1.0,
+ labels={%
+ $\alpha$,
+ $\beta$,
+ $\gamma$,
+ $\delta$,
+ },
+ col sep=tab,
+ dataset size=1pt,
+ dataset mark=*,
+ dataset fill=black!50!white,
+ dataset fill opacity=1.0,
+ average mark=x,
+ average size=5pt,
+ ]{violinandboxplotexample.dat}
+ \end{tikzpicture}
+ \caption{Violin plot}
+ \label{graph:violin_example}
+ \end{subfigure}
+ \caption{Box and violin plot examples}
+ \label{fig:example}
+\end{figure}
+
+\pgfplotsset{height=0.9\linewidth}
+
+\section{Usage}
+
+To plot a violin plot with the commands provided, one must, inside
+a \texttt{tikzpicture} environment, set the general options to all
+plots and insert each individual dataset.
+
+To set the general options, the command \texttt{{\textbackslash}violinsetoptions}
+is provided, and must be invoked before plotting the datasets. This should
+be done with the commands \texttt{{\textbackslash}violinplot} or
+\texttt{{\textbackslash}violinplotwholefile}.
+
+\subsection{General options: \texttt{{\textbackslash}violinsetoptions}}
+
+The command \texttt{{\textbackslash}violinsetoptions} takes two arguments,
+an optional argument with package-specific options and a mandatory
+argument with options to be passed to \texttt{pgfplots}.
+
+\begin{minted}[escapeinside=||]{latex}
+ \violinsetoptions[|\textit{<package-specific options>}|]%
+ {|\textit{<pgfplots general options>}|}
+\end{minted}
+
+\subsubsection{Package-specific options}
+
+There are five options specific to the package: \texttt{scaled},
+\texttt{data points}, \texttt{averages}, \texttt{no mirror} and
+\texttt{reverse axis}, controlling how and which information
+in the datasets should be presented.
+
+The option \texttt{scaled} controls if all plots in the graph
+have the same area or same width. If passed, the kernel
+distribution estimations will be scaled to the same width, as
+shown in figure \ref{graph:violin_verti}; otherwise, the plots
+will present the same area, as in figure \ref{graph:violin_horiz}.
+
+The option \texttt{data points}, if passed, will show, along with
+the violin plots, the distribution of points in the data set, as shown in
+figure \ref{graph:violin_verti}.
+
+If the option \texttt{averages} is passed, the average of the data set
+elements is shown, as in figure \ref{graph:violin_horiz}.
+
+The plots are mirrored by default; however, passing the option \texttt{no mirror}
+will show only half the plot, as shown in figure \ref{graph:violin_horiz}.
+
+Finally, to ``transpose'' the plots (\textit{i.e.} show the distributions
+as functions of the abcissa, as in figure \ref{graph:violin_horiz},
+and not as functions of ordinate, as in figure \ref{graph:violin_verti}),
+one might use the option \texttt{reverse axis}.
+
+\subsubsection{Plot limits and other \texttt{pgfplots} options}
+
+The minima and maxima of the plot axes must be set in the second (and first
+mandatory) argument to the command, and should follow \texttt{pgfplots}
+syntax. For instance, to set the minimum and maximum of the $x$-axis
+to -3 and 6, and of the $y$-axis to 2.5 and 7, one might use:
+
+\begin{minted}[escapeinside=||]{latex}
+ \violinsetoptions[|\textit{<package-specific options>}|]%
+ {xmin=-3, xmax=6, ymin=2.5, xmin=7,%
+ |\textit{<pgfplots general options>}|}
+\end{minted}
+
+Other \texttt{pgfplots} expressions such as title or axes labels may be set
+in the same way in this argument.
+
+\subsection{Options for each data set: \texttt{{\textbackslash}violinplot}}
+
+If the data sets are not very similar and/or advanced customizations
+are desired, \texttt{{\textbackslash}violinplot} should be used to
+plot each data set individually.
+This command takes one mandatory argument, and a list of options:
+
+\begin{minted}[escapeinside=||]{latex}
+ \violinplot[%
+ |\textit{<option>}=\textit{<value>}|
+ ]{|\textit{filename}|}
+\end{minted}
+
+The filename (mandatory argument) must be a path to a file storing the data as
+space-separated columns. The optional argument is a list of options, including:
+
+\begin{itemize}
+ \item \texttt{col sep}: Column separation character in filename.
+ Defaults to \texttt{comma}, and can accept options
+ \texttt{space}, \texttt{tab}, \texttt{comma},
+ \texttt{colon}, \texttt{semicolon}, \texttt{braces},
+ \texttt{\&} and \texttt{ampersand}.
+ \item \texttt{index}: Necessary option, is the name of the column with
+ the data to be plotted.
+ \item \texttt{kernel}: The function to be used for the kernel density
+ estimation; available values are \texttt{gaussian} (default),
+ \texttt{logistic}, \texttt{parabolic}, \texttt{uniform}
+ and \texttt{triangular}.
+ \item \texttt{bandwidth}: Smoothing parameter for the kernel density
+ estimation; defaults to $h$ in equation \ref{eq:band},
+ which assumes gaussian distribution.
+ \begin{equation}
+ \label{eq:band}
+ h=\sqrt[5]{\frac{4\times\textnormal{stddev}%
+ \left(x_1,x_2,\ldots,x_n\right)^5}{3n}}
+ \end{equation}
+ \item \texttt{samples}: Number of points in which the kernel density
+ estimation will be calculated and plotted. Defaults
+ to 50.
+ \item \texttt{relative position}: position of the plot in the axis
+ with the labels for each dataset. Defaults to 0.
+ \item \texttt{color}: Color of the plot, border and interior.
+ Defaults to black. The interior is colored with 0.5
+ opacity.
+ \item \texttt{label}: Label of the plot, positioned at the point
+ set by \texttt{relative position}.
+ \item \texttt{invert}: If \texttt{true}, plot will be drawn in opposite
+ side. Useful for comparing two parts of a data set, by plotting each
+ group side by side.
+ \item Options for average and data points:
+ \begin{itemize}
+ \item \texttt{average mark}, \texttt{dataset mark}: Mark used
+ for averages and points of the data set (defaults
+ to ``\texttt{x}'' and ``\texttt{*}'', respectively).
+ \item \texttt{average size}, \texttt{dataset size}: Size
+ of each mark (defaults to 3pt for averages and 1pt
+ for other points).
+ \item \texttt{average color}, \texttt{dataset color}: Color
+ of each mark's border. Defaults to black in both
+ cases.
+ \item \texttt{average opacity}, \texttt{dataset opacity}:
+ Border opacity. Defaults to 1.0 in both cases.
+ \item \texttt{average fill}, \texttt{dataset fill}: Color
+ of each mark's interior. Defaults to black for the
+ points of the data set and white for the averages.
+ \item \texttt{average fill opacity}, \texttt{dataset fill opacity}:
+ Opacity of the marks. Defaults to 0.5 for averages and
+ 0.2 for the other points.
+ \end{itemize}
+\end{itemize}
+
+\subsection{Simplified interface: \texttt{{\textbackslash}violinplotwholefile}}
+
+If the data sets are similar and no customizations are required, one might
+use the command \texttt{{\textbackslash}violinplotwholefile}.
+
+\begin{minted}[escapeinside=||]{latex}
+ \violinplotwholefile[%
+ |\textit{<option>}=\textit{<value>}|
+ ]{|\textit{filename}|}
+\end{minted}
+
+This command will calculate and plot all columns named. The available options
+are:
+
+\begin{itemize}
+ \item \texttt{primary color}: Primary color utilised. A gradient is built from
+ the secondary color to it. Defaults to black.
+ \item \texttt{secondary color}: Secondary color utilized. A
+ gradient is built from it to the primary color. Defaults
+ to white.
+ \item \texttt{indexes}: List of columns to be plotted.
+ \item \texttt{spacing}: Distance between plots. Defaults to 1.0.
+ \item \texttt{labels}: Labels of the data to be plotted.
+\end{itemize}
+
+Besides, the options available to \texttt{{\textbackslash}violinplots} are also
+available for this command; for instance, one might set the kernel to
+be utilized as the \texttt{uniform} kernel through the option
+\texttt{kernel=uniform}. Of course, \texttt{relative position} is not an option
+here.
+
+\section{Examples}
+
+To show the usage of the package, we plotted several data sets two times, in
+figures \ref{graph:violin_verti} and \ref{graph:violin_horiz}, using either the
+simplified or the complete interface.
+
+The data are in the file \texttt{example.dat}, shown below:
+
+\colorlet{mintedbgcsv}{black!10!white}
+
+\inputminted[%
+ frame=single,
+ rulecolor=mintedbgcsv,
+ framesep=10pt,
+ bgcolor=mintedbgcsv,
+ obeytabs,
+ tabsize=12,
+]{text}{example.dat}
+
+\subsection{Simplified Interface}
+
+First we will plot this data using the simplified interface, resulting in
+figure \ref{graph:violin_verti}.
+
+\begin{figure}[h]
+ \centering
+ \begin{tikzpicture}
+ \violinsetoptions[
+ data points,
+ scaled,
+ ]{
+ xmin=0,xmax=6,
+ ymin=-4,ymax=6,
+ title={Plotting Some Data},
+ xlabel={Groups},
+ ylabel={Some property},
+ xlabel style={
+ yshift = {-2*height("a")}
+ },
+ ymajorgrids=true,
+ }
+ \violinplotwholefile[%
+ primary color=orange,
+ secondary color=black,
+ indexes={C,B,A,D,E},
+ spacing=1.0,
+ labels={%
+ $\alpha$,
+ $\beta$,
+ $\gamma$,
+ $\delta$,
+ $\epsilon$
+ },
+ col sep=tab,
+ dataset size=2pt,
+ dataset mark=diamond*,
+ dataset fill=blue!50!white,
+ dataset fill opacity=1.0,
+ ]{example.dat}
+ \end{tikzpicture}
+ \caption{Violin plot --- vertical example}
+ \label{graph:violin_verti}
+\end{figure}
+
+Code for figure \ref{graph:violin_verti}, using
+\texttt{{\textbackslash}violinplotwholefile}:
+
+\colorlet{mintedbgverti}{orange!10!white}
+
+\begin{minted}[%
+ escapeinside=||,
+ frame=single,
+ rulecolor=mintedbgverti,
+ framesep=10pt,
+ tabsize=4,
+ bgcolor=mintedbgverti]{latex}
+\begin{tikzpicture}
+ \violinsetoptions[
+ data points,
+ scaled,
+ ]{
+ xmin=0,xmax=6,
+ ymin=-4,ymax=6,
+ title={Plotting Some Data},
+ xlabel={Groups},
+ ylabel={Some property},
+ xlabel style={
+ yshift = {-2*height("a")}
+ },
+ ymajorgrids=true,
+ }
+ \violinplotwholefile[%
+ primary color=orange,
+ secondary color=black,
+ batch indexes={C,B,A,D,E},
+ batch spacing=1.0,
+ batch labels={%
+ $\alpha$,
+ $\beta$,
+ $\gamma$,
+ $\delta$,
+ $\epsilon$
+ },
+ col sep=tab,
+ dataset size=2pt,
+ dataset mark=diamond*,
+ dataset fill=blue!50!white,
+ dataset fill opacity=1.0,
+ ]{example.dat}
+\end{tikzpicture}
+
+\end{minted}
+
+\subsection{Complete Interface}
+
+Then the data will be plotted using the complete interface, resulting
+in figure \ref{graph:violin_horiz}.
+
+\begin{figure}[h]
+ \centering
+ \begin{tikzpicture}
+ \violinsetoptions[
+ no mirror,
+ averages,
+ reverse axis,
+ ]{%
+ xmin=-4,xmax=6,
+ ymin=0.7,ymax=7,
+ title={Plotting Some Data},
+ ylabel={Groups},
+ xlabel={Some property},
+ ylabel style={
+ yshift = {2*width("a")}
+ },
+ xmajorgrids=true,
+ }
+ \violinplot[%
+ index=C,
+ relative position=1,
+ color=blue!0!black,
+ label={$\alpha$},
+ col sep=tab,
+ ]{example.dat}
+ \violinplot[%
+ index=B,
+ relative position=2,
+ color=blue!25!black,
+ label={$\beta$},
+ col sep=tab,
+ ]{example.dat}
+ \violinplot[%
+ index=A,
+ relative position=3,
+ color=blue!50!black,
+ label={$\gamma$},
+ col sep=tab,
+ kernel=parabolic,
+ samples=100,
+ bandwidth=0.4,
+ average mark=otimes*,
+ average size=2pt,
+ average fill=blue!70!black,
+ average fill opacity=0.7,
+ ]{example.dat}
+ \violinplot[%
+ index=D,
+ relative position=4,
+ color=blue!75!black,
+ label={$\delta$},
+ col sep=tab,
+ ]{example.dat}
+ \violinplot[%
+ index=E,
+ relative position=5,
+ color=blue!100!black,
+ label={$\epsilon$},
+ col sep=tab,
+ ]{example.dat}
+ \end{tikzpicture}
+ \caption{Violin plot --- horizontal example}
+ \label{graph:violin_horiz}
+\end{figure}
+
+Code for figure \ref{graph:violin_horiz}, using
+\texttt{{\textbackslash}violinplot}:
+
+\colorlet{mintedbghoriz}{blue!10!white}
+
+\begin{minted}[%
+ escapeinside=||,
+ frame=single,
+ rulecolor=mintedbghoriz,
+ framesep=10pt,
+ tabsize=4,
+ bgcolor=mintedbghoriz]{latex}
+\begin{tikzpicture}
+ \violinsetoptions[
+ no mirror,
+ averages,
+ reverse axis,
+ ]{%
+ xmin=-4,xmax=6,
+ ymin=0.7,ymax=7,
+ title={Plotting Some Data},
+ ylabel={Groups},
+ xlabel={Some property},
+ ylabel style={
+ yshift = {2*width("a")}
+ },
+ xmajorgrids=true,
+ }
+ \violinplot[%
+ index=C,
+ relative position=1,
+ color=blue!0!black,
+ label={$\alpha$},
+ col sep=tab,
+ ]{example.dat}
+ \violinplot[%
+ index=B,
+ relative position=2,
+ color=blue!25!black,
+ label={$\beta$},
+ col sep=tab,
+ ]{example.dat}
+ \violinplot[%
+ index=A,
+ relative position=3,
+ color=blue!50!black,
+ label={$\gamma$},
+ col sep=tab,
+ kernel=parabolic,
+ samples=100,
+ bandwidth=0.4,
+ average mark=otimes*,
+ average size=2pt,
+ average fill=blue!70!black,
+ average fill opacity=0.7,
+ ]{example.dat};
+ \violinplot[%
+ index=D,
+ relative position=4,
+ color=blue!75!black,
+ label={$\delta$},
+ col sep=tab,
+ ]{example.dat}
+ \violinplot[%
+ index=E,
+ relative position=5,
+ color=blue!100!black,
+ label={$\epsilon$},
+ col sep=tab,
+ ]{example.dat}
+\end{tikzpicture}
+\end{minted}
+
+\subsection{Drawings and Annotations}
+
+As everything happens inside a \texttt{tikzpicture} environment, drawings
+and annotations are straightforward, as seen in figure \ref{graph:violin_annotations}.
+
+\begin{figure}[h]
+ \centering
+ \begin{tikzpicture}
+ \violinsetoptions[
+ averages,
+ data points,
+ ]{
+ xmin=0,xmax=6,
+ ymin=-2,ymax=5,
+ xlabel = {Bandwidth choice},
+ ylabel = {Some property},
+ title={Problems with Different Distributions},
+ xlabel style={
+ yshift = {-3*height("a")}
+ },
+ ymajorgrids=true,
+ }
+ \violinplot[%
+ index=A,
+ relative position=1,
+ color=green!33!black,
+ label={Estimated bandwidth},
+ col sep=tab,
+ ]{example.dat}
+ \violinplot[%
+ index=A,
+ bandwidth=0.1,
+ relative position=4,
+ color=green!12!black,
+ label={Smaller bandwidth},
+ col sep=tab,
+ ]{example.dat}
+ \begin{axis}[
+ xmin=0,xmax=6,
+ ymin=-2,ymax=5,
+ ]
+ \draw[-{Stealth}] (axis cs: 1.75,0.45) %
+ .. controls (axis cs:1.75,0.85) and %
+ (axis cs:3.9,0.5) .. (axis cs: 3.9,1.05);
+ \draw[decoration={raise=2pt,text along path, text=%
+ {|\tiny| Better bandwidth}, text align={center}}, %
+ decorate] %
+ (axis cs: 1.75,0.45) %
+ .. controls (axis cs:1.75,0.85) and %
+ (axis cs:3.9,0.5) .. (axis cs: 3.9,1.05);
+ \draw[-{Stealth}] %
+ (axis cs: 1.5,0.45) .. controls (axis cs:1.5,0.85) %
+ and (axis cs:1.25,1.1) .. (axis cs: 1.25,1.5) .. %
+ controls (axis cs:1.25,1.9) and (axis cs:1.35,1.9) %
+ .. (axis cs:1.35,2.6);
+ \draw[decoration={raise=2pt,text along path, text=%
+ {|\tiny|Very oversmoothed}, text align={center}}, %
+ decorate] %
+ (axis cs: 1.35,2.6) .. controls (axis cs:1.35,1.9) %
+ and (axis cs:1.25,1.9) .. (axis cs: 1.25,1.5) .. %
+ controls (axis cs:1.25,1.1) and (axis cs:1.5,0.85) %
+ .. (axis cs:1.5,0.45);
+ \end{axis}
+ \end{tikzpicture}
+ \caption{Annotations in a plot}
+ \label{graph:violin_annotations}
+\end{figure}
+
+Figure \ref{graph:violin_annotations} is compiled from the code excerpt below.
+
+\colorlet{mintedbgannot}{green!10!white}
+
+\begin{minted}[%
+ escapeinside=||,
+ frame=single,
+ rulecolor=mintedbgannot,
+ framesep=10pt,
+ tabsize=4,
+ bgcolor=mintedbgannot]{latex}
+\begin{tikzpicture}
+ \violinsetoptions[
+ averages,
+ data points,
+ ]{
+ xmin=0,xmax=6,
+ ymin=-2,ymax=5,
+ xlabel = {Bandwidth choice},
+ ylabel = {Some property},
+ title={Problems with Different %
+ Distributions},
+ xlabel style={
+ yshift = {-3*height("a")}
+ },
+ ymajorgrids=true,
+ }
+ \violinplot[%
+ index=A,
+ relative position=1,
+ color=green!33!black,
+ label={Estimated bandwidth},
+ col sep=tab,
+ ]{example.dat}
+ \violinplot[%
+ index=A,
+ bandwidth=0.1,
+ relative position=4,
+ color=green!12!black,
+ label={Smaller bandwidth},
+ col sep=tab,
+ ]{example.dat}
+ \begin{axis}[
+ xmin=0,xmax=6,
+ ymin=-2,ymax=5,
+ ]
+ \draw[-{Stealth}] (axis cs: 1.75,0.45) %
+ .. controls (axis cs:1.75,0.85) and %
+ (axis cs:3.9,0.5) .. (axis cs: 3.9,1.05);
+ \draw[decoration={raise=2pt,text along path,%
+ text={|\tiny| Better bandwidth}, %
+ text align={center}}, decorate] %
+ (axis cs: 1.75,0.45) %
+ .. controls (axis cs:1.75,0.85) and %
+ (axis cs:3.9,0.5) .. (axis cs: 3.9,1.05);
+ \draw[-{Stealth}] %
+ (axis cs: 1.5,0.45) .. controls %
+ (axis cs:1.5,0.85) and (axis cs:1.25,1.1) %
+ .. (axis cs: 1.25,1.5) .. controls %
+ (axis cs:1.25,1.9) and (axis cs:1.35,1.9) %
+ .. (axis cs:1.35,2.6);
+ \draw[decoration={raise=2pt,text along path, %
+ text={|\tiny|Very oversmoothed}, %
+ text align={center}}, decorate] %
+ (axis cs: 1.35,2.6) .. controls %
+ (axis cs:1.35,1.9) and (axis cs:1.25,1.9) %
+ .. (axis cs: 1.25,1.5) .. %
+ controls (axis cs:1.25,1.1) and %
+ (axis cs:1.5,0.85) .. (axis cs:1.5,0.45);
+ \end{axis}
+\end{tikzpicture}
+\end{minted}
+
+\subsection{Standalone Kernel Density Estimation}
+
+Plotting only one dataset and choosing adequate plot limits, one
+may obtain a simple representation of a kernel density estimation.
+This can be seen in figure \ref{graph:kde_standalone}, obtained from the
+code excerpt below.
+
+\begin{figure}[h]
+ \centering
+ \begin{tikzpicture}
+ \violinsetoptions[
+ no mirror,
+ reverse axis,
+ data points,
+ ]{%
+ xmin=3.3,xmax=4,
+ ymin=-1,ymax=12,
+ title={Plotting Some Data},
+ ylabel={$p(x)$},
+ xlabel={$x$},
+ xmajorgrids=true,
+ ymajorticks=true,
+ ytick={0.0,2.5,5,7.5,10},
+ yticklabels={0.0,2.5,5,7.5,10},
+ }
+ \violinplot[%
+ index=C,
+ relative position=0,
+ color=red!30!black,
+ label={},
+ col sep=tab,
+ dataset size=5pt,
+ dataset color=red!10!black,
+ dataset mark=*,
+ dataset fill=red!90!black,
+ dataset fill opacity=0.2,
+ ]{example.dat}
+ \end{tikzpicture}
+ \caption{Standalone kernel density estimation example}
+ \label{graph:kde_standalone}
+\end{figure}
+
+\colorlet{mintedbgstand}{red!10!white}
+
+\begin{minted}[%
+ escapeinside=||,
+ frame=single,
+ rulecolor=mintedbgstand,
+ framesep=10pt,
+ tabsize=4,
+ bgcolor=mintedbgstand]{latex}
+\begin{tikzpicture}
+ \violinsetoptions[
+ no mirror,
+ reverse axis,
+ data points,
+ ]{%
+ xmin=3.3,xmax=4,
+ ymin=-1,ymax=12,
+ title={Plotting Some Data},
+ ylabel={$p(x)$},
+ xlabel={$x$},
+ xmajorgrids=true,
+ ymajorticks=true,
+ ytick={0.0,2.5,5,7.5,10},
+ yticklabels={0.0,2.5,5,7.5,10},
+ }
+ \violinplot[%
+ index=C,
+ relative position=0,
+ color=red!30!black,
+ label={},
+ col sep=tab,
+ dataset size=5pt,
+ dataset color=red!10!black,
+ dataset mark=*,
+ dataset fill=red!90!black,
+ dataset fill opacity=0.2,
+ ]{example.dat}
+\end{tikzpicture}
+\end{minted}
+
+\subsection{Asymmetrical Violin Plots --- Real World Data}
+
+Using the key \texttt{invert=true} in the options of
+\texttt{\textbackslash violinplot} one can plot two different sets of data side
+by side, in an asymmetrical violin plot. This can be seen in figure
+\ref{graph:asymmetrical}, that exhibits the male and female life expectancy at
+birth, in 2019, for several countries, segregated in the WHO regions.\footnote{
+ \url{https://www.who.int/data/gho/publications/world-health-statistics}.
+}.
+
+\colorlet{malecolor}{cyan!60!white}
+\colorlet{femalecolor}{cyan!60!black}
+
+\begin{figure}[h]
+ \centering
+ \begin{tikzpicture}
+ \violinsetoptions[
+ no mirror,
+ scaled,
+ ]{%
+ xmin=0.8,xmax=13.2,
+ ymin=30,ymax=100,
+ title={Life Expectancy Per WHO Region},
+ xlabel={WHO Region},
+ ylabel={Life Expectancy in Years},
+ xlabel style={
+ yshift = {-3*width("a")}
+ },
+ ymajorgrids=true,
+ }
+ \violinplot[%
+ index=LifeExpectancyAtBirthMale,
+ relative position=2,
+ color=malecolor,
+ label={Africa},
+ col sep=comma,
+ invert=true
+ ]{AFR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthFemale,
+ relative position=2,
+ color=femalecolor,
+ label={},
+ col sep=comma,
+ ]{AFR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthMale,
+ relative position=4,
+ color=malecolor,
+ label={Middle-East},
+ col sep=comma,
+ invert=true
+ ]{EMR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthFemale,
+ relative position=4,
+ color=femalecolor,
+ label={},
+ col sep=comma,
+ ]{EMR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthMale,
+ relative position=6,
+ color=malecolor,
+ label={Pacific},
+ col sep=comma,
+ invert=true
+ ]{WPR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthFemale,
+ relative position=6,
+ color=femalecolor,
+ label={},
+ col sep=comma,
+ ]{WPR.csv};
+ \violinplot[%
+ index=LifeExpectancyAtBirthMale,
+ relative position=8,
+ color=malecolor,
+ label={SE. Asia},
+ col sep=comma,
+ invert=true
+ ]{SEAR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthFemale,
+ relative position=8,
+ color=femalecolor,
+ label={},
+ col sep=comma,
+ ]{SEAR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthMale,
+ relative position=10,
+ color=malecolor,
+ label={Americas},
+ col sep=comma,
+ invert=true
+ ]{AMR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthFemale,
+ relative position=10,
+ color=femalecolor,
+ label={},
+ col sep=comma,
+ ]{AMR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthMale,
+ relative position=12,
+ color=malecolor,
+ label={Europe},
+ col sep=comma,
+ invert=true
+ ]{EUR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthFemale,
+ relative position=12,
+ color=femalecolor,
+ label={},
+ col sep=comma,
+ ]{EUR.csv}
+ \begin{axis}[
+ xmin=0.8,xmax=13.2,
+ ymin=30,ymax=100,
+ ]
+ \draw(axis cs:2,35) node[anchor=east] {\male};
+ \draw(axis cs:2,35) node[anchor=west] {\female};
+ \draw(axis cs:4,35) node[anchor=east] {\male};
+ \draw(axis cs:4,35) node[anchor=west] {\female};
+ \draw(axis cs:6,35) node[anchor=east] {\male};
+ \draw(axis cs:6,35) node[anchor=west] {\female};
+ \draw(axis cs:8,35) node[anchor=east] {\male};
+ \draw(axis cs:8,35) node[anchor=west] {\female};
+ \draw(axis cs:10,35) node[anchor=east] {\male};
+ \draw(axis cs:10,35) node[anchor=west] {\female};
+ \draw(axis cs:12,35) node[anchor=east] {\male};
+ \draw(axis cs:12,35) node[anchor=west] {\female};
+ \end{axis}
+ \end{tikzpicture}
+ \caption{Example of asymmetrical plot}
+ \label{graph:asymmetrical}
+\end{figure}
+
+The code for figure \ref{graph:asymmetrical} is avaliable below:
+
+\begin{minted}[%
+ escapeinside=||,
+ frame=single,
+ rulecolor=cyan!10!white,
+ framesep=10pt,
+ tabsize=4,
+ bgcolor=cyan!10!white]{latex}
+\begin{tikzpicture}
+ \violinsetoptions[
+ no mirror,
+ scaled,
+ ]{%
+ xmin=0,xmax=14,
+ ymin=30,ymax=100,
+ title={Life Expectancy Per WHO Region},
+ xlabel={WHO Region},
+ ylabel={Life Expectancy in Years},
+ xlabel style={
+ yshift = {-3*width("a")}
+ },
+ ymajorgrids=true,
+ }
+ \violinplot[%
+ index=LifeExpectancyAtBirthMale,
+ relative position=2,
+ color=malecolor,
+ label={AFR},
+ col sep=comma,
+ invert=true
+ ]{AFR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthFemale,
+ relative position=2,
+ color=femalecolor,
+ label={},
+ col sep=comma,
+ ]{AFR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthMale,
+ relative position=4,
+ color=malecolor,
+ label={EMR},
+ col sep=comma,
+ invert=true
+ ]{EMR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthFemale,
+ relative position=4,
+ color=femalecolor,
+ label={},
+ col sep=comma,
+ ]{EMR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthMale,
+ relative position=6,
+ color=malecolor,
+ label={WPR},
+ col sep=comma,
+ invert=true
+ ]{WPR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthFemale,
+ relative position=6,
+ color=femalecolor,
+ label={},
+ col sep=comma,
+ ]{WPR.csv};
+ \violinplot[%
+ index=LifeExpectancyAtBirthMale,
+ relative position=8,
+ color=malecolor,
+ label={SEAR},
+ col sep=comma,
+ invert=true
+ ]{SEAR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthFemale,
+ relative position=8,
+ color=femalecolor,
+ label={},
+ col sep=comma,
+ ]{SEAR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthMale,
+ relative position=10,
+ color=malecolor,
+ label={AMR},
+ col sep=comma,
+ invert=true
+ ]{AMR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthFemale,
+ relative position=10,
+ color=femalecolor,
+ label={},
+ col sep=comma,
+ ]{AMR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthMale,
+ relative position=12,
+ color=malecolor,
+ label={EUR},
+ col sep=comma,
+ invert=true
+ ]{EUR.csv}
+ \violinplot[%
+ index=LifeExpectancyAtBirthFemale,
+ relative position=12,
+ color=femalecolor,
+ label={},
+ col sep=comma,
+ ]{EUR.csv}
+ \begin{axis}[
+ xmin=0,xmax=14,
+ ymin=30,ymax=100,
+ ]
+ \draw(axis cs:2,35) node[anchor=east] {\male};
+ \draw(axis cs:2,35) node[anchor=west] {\female};
+ \draw(axis cs:4,35) node[anchor=east] {\male};
+ \draw(axis cs:4,35) node[anchor=west] {\female};
+ \draw(axis cs:6,35) node[anchor=east] {\male};
+ \draw(axis cs:6,35) node[anchor=west] {\female};
+ \draw(axis cs:8,35) node[anchor=east] {\male};
+ \draw(axis cs:8,35) node[anchor=west] {\female};
+ \draw(axis cs:10,35) node[anchor=east] {\male};
+ \draw(axis cs:10,35) node[anchor=west] {\female};
+ \draw(axis cs:12,35) node[anchor=east] {\male};
+ \draw(axis cs:12,35) node[anchor=west] {\female};
+ \end{axis}
+\end{tikzpicture}
+\end{minted}
+
+\section{Limitations}
+
+As the math is handled through \TeX, generating the kernel distribution
+estimations is a slow process; therefore, if possible, the number of samples
+should not be very large. Also, each value should not, itself, be too large,
+to avoid ``dimension too large'' errors. In this case, the data should be scaled
+and the tick labels manually corrected.
+
+As each violin plot is rendered in a different \texttt{axis} environment,
+the positions of the axes' labels are not, usually, correct. One should
+set it manually. In the examples, this was accomplished setting the
+vertical/horizontal shift to twice the height of a letter, in the direction
+opposite to the appropriate axis. This approach also leads to another problem:
+using the keys ``height'' or ``width'' won't rescale the plot; one might use,
+before and after the code for the figure, \texttt{\textbackslash pgfplotsset},
+as shown below:
+
+\colorlet{mintedbgtempplotsset}{red!50!blue}
+\colorlet{mintedbgplotsset}{mintedbgtempplotsset!10!white}
+
+\begin{minted}[%
+ escapeinside=||,
+ frame=single,
+ rulecolor=mintedbgplotsset,
+ framesep=10pt,
+ tabsize=4,
+ bgcolor=mintedbgplotsset]{latex}
+\pgfplotsset{height=1.75\linewidth}
+\begin{tikzpicture}
+ \violinsetoptions[
+ |\textit{options for \texttt{tikzviolinplots}}|
+ ]{
+ |\textit{\texttt{pgfplots} options}|
+ }
+ \violinplot[%
+ |\textit{options for data points}|
+ ]{|\textit{filename}|}
+ |...|
+\end{tikzpicture}
+\pgfplotsset{height=0.9\linewidth}
+\end{minted}
+
+For the same reason, the options \texttt{xmin}, \texttt{ymin}, \texttt{xmax}
+and \texttt{ymax} are required; no automatic placement is performed.
+
+\end{document}
diff --git a/Master/texmf-dist/tex/latex/tikzviolinplots/tikzviolinplots.sty b/Master/texmf-dist/tex/latex/tikzviolinplots/tikzviolinplots.sty
new file mode 100644
index 00000000000..33c32693b0a
--- /dev/null
+++ b/Master/texmf-dist/tex/latex/tikzviolinplots/tikzviolinplots.sty
@@ -0,0 +1,682 @@
+%% tikzviolinplots.sty
+%% Copyright 2023 Pedro Callil-Soares
+%
+% This work may be distributed and/or modified under the
+% conditions of the LaTeX Project Public License, either version 1.3
+% of this license or (at your option) any later version.
+% The latest version of this license is in
+% http://www.latex-project.org/lppl.txt
+% and version 1.3 or later is part of all distributions of LaTeX
+% version 2005/12/01 or later.
+%
+% This work has the LPPL maintenance status `maintained'.
+%
+% The Current Maintainer of this work is Pedro Callil-Soares.
+%
+% This work consists of the files tikzviolinplots.sty and
+% tikzviolinplots.tex.
+
+\NeedsTeXFormat{LaTeX2e}[1994/06/01]
+\ProvidesPackage{tikzviolinplots}[2021/08/27 v0.7.1 Violin plot creation in pgfplots]
+
+\RequirePackage{pgfplots}
+\RequirePackage{pgfplotstable}
+\RequirePackage{ifthen}
+\RequirePackage{stringstrings}
+\RequirePackage{pgfkeys}
+
+
+\DeclareOption*{\PackageWarning{tikzviolinplots}{Unknown option: ‘\CurrentOption’}}
+\ProcessOptions\relax
+
+\pgfkeys{
+ /violinplot/.is family, /violinplot,
+ default/.style = {
+ col sep=comma,
+ kernel=gaussian,
+ bandwidth=NONE,
+ index=DATA,
+ samples=50,
+ relative position=0
+ color=black,
+ label={LABEL},
+ invert={FALSE},
+ average mark=x,
+ average size=3pt,
+ average color=black,
+ average opacity=1.0,
+ average fill=white,
+ average fill opacity=0.5,
+ dataset mark=*,
+ dataset size=1pt,
+ dataset color=black,
+ dataset opacity=1.0,
+ dataset fill=black,
+ dataset fill opacity=0.2,
+ },
+ col sep/.estore in = \violin@colsep,
+ kernel/.estore in = \violin@kernel,
+ bandwidth/.estore in = \violin@bandwidth,
+ index/.estore in = \violin@index,
+ samples/.estore in = \violin@samples,
+ relative position/.estore in = \violin@delta,
+ color/.estore in = \violin@color,
+ label/.estore in = \violin@label,
+ invert/.estore in = \violin@invert,
+ average mark/.estore in = \violin@avg@mark,
+ average size/.estore in = \violin@avg@size,
+ average color/.estore in = \violin@avg@color,
+ average opacity/.estore in = \violin@avg@opacity,
+ average fill/.estore in = \violin@avg@fillcolor,
+ average fill opacity/.estore in = \violin@avg@fillopacity,
+ dataset mark/.estore in = \violin@pts@mark,
+ dataset size/.estore in = \violin@pts@size,
+ dataset color/.estore in = \violin@pts@color,
+ dataset opacity/.estore in = \violin@pts@opacity,
+ dataset fill/.estore in = \violin@pts@fillcolor,
+ dataset fill opacity/.estore in = \violin@pts@fillopacity,
+ /violinplotwholefile/.is family, /violinplotwholefile,
+ default/.style = {
+ col sep=comma,
+ kernel=gaussian,
+ bandwidth=NONE,
+ index=DATA,
+ samples=50,
+ relative position=0
+ color=black,
+ label={LABEL},
+ average mark=x,
+ average size=3pt,
+ average color=black,
+ average opacity=1.0,
+ average fill=white,
+ average fill opacity=0.5,
+ dataset mark=*,
+ dataset size=1pt,
+ dataset color=black,
+ dataset opacity=1.0,
+ dataset fill=black,
+ dataset fill opacity=0.2,
+ spacing=1.0,
+ indexes={A,B,C},
+ primary color=blue,
+ secondary color=black,
+ labels={A,B,C},
+ },
+ col sep/.estore in = \violin@batch@colsep,
+ kernel/.estore in = \violin@batch@kernel,
+ bandwidth/.estore in = \violin@batch@bandwidth,
+ index/.estore in = \violin@batch@index,
+ samples/.estore in = \violin@batch@samples,
+ relative position/.estore in = \violin@batch@delta,
+ color/.estore in = \violin@batch@color,
+ label/.estore in = \violin@batch@label,
+ average mark/.estore in = \violin@batch@avg@mark,
+ average size/.estore in = \violin@batch@avg@size,
+ average color/.estore in = \violin@batch@avg@color,
+ average opacity/.estore in = \violin@batch@avg@opacity,
+ average fill/.estore in = \violin@batch@avg@fillcolor,
+ average fill opacity/.estore in = \violin@batch@avg@fillopacity,
+ dataset mark/.estore in = \violin@batch@pts@mark,
+ dataset size/.estore in = \violin@batch@pts@size,
+ dataset color/.estore in = \violin@batch@pts@color,
+ dataset opacity/.estore in = \violin@batch@pts@opacity,
+ dataset fill/.estore in = \violin@batch@pts@fillcolor,
+ dataset fill opacity/.estore in = \violin@batch@pts@fillopacity,
+ spacing/.estore in = \violin@batch@delta,
+ indexes/.estore in = \violin@batch@indexes,
+ primary color/.estore in = \violin@batch@color@primary,
+ secondary color/.estore in = \violin@batch@color@secondary,
+ labels/.estore in = \violin@batch@labels,
+}
+
+\newcommand{\violinsetoptions}[2][]{%
+
+ \def\violin@scaled{false}
+ \def\violin@datapoints{false}
+ \def\violin@averages{false}
+ \def\violin@nomirror{false}
+ \def\violin@reverseaxis{false}
+ \def\violin@axisoptions{#2}
+
+ \@for\kdeoption:=#1\do{
+ \noblanks[q]{\kdeoption}
+ \ifthenelse{
+ \equal{\thestring}{scaled}
+ }{
+ \def\violin@scaled{true}
+ }{}
+ \ifthenelse{
+ \equal{\thestring}{datapoints}
+ }{
+ \def\violin@datapoints{true}
+ }{}
+ \ifthenelse{
+ \equal{\thestring}{averages}
+ }{
+ \def\violin@averages{true}
+ }{}
+ \ifthenelse{
+ \equal{\thestring}{nomirror}
+ }{
+ \def\violin@nomirror{true}
+ }{}
+ \ifthenelse{
+ \equal{\thestring}{reverseaxis}
+ }{
+ \def\violin@reverseaxis{true}
+ }{}
+ }
+
+ \ifthenelse{
+ \equal{\violin@reverseaxis}{true}
+ }{
+ \begin{axis}[
+ axis on top,
+ yticklabels={,,},
+ ymajorticks=false,
+ \violin@axisoptions,
+ ]
+ \end{axis}
+ }{
+ \begin{axis}[
+ axis on top,
+ xticklabels={,,},
+ xmajorticks=false,
+ \violin@axisoptions,
+ ]
+ \end{axis}
+ }
+
+ \@for\kdeoption:=\violin@axisoptions\do{
+ \noblanks[e]{\kdeoption}
+ \let\violin@opt\thestring
+ \whereisword[q]{\violin@opt}{xmin}
+ \ifthenelse{
+ \equal{\theresult}{0}
+ }{}{
+ \let\violin@axis@xmin\violin@opt
+ }
+ \whereisword[q]{\violin@opt}{xmax}
+ \ifthenelse{
+ \equal{\theresult}{0}
+ }{}{
+ \let\violin@axis@xmax\violin@opt
+ }
+ \whereisword[q]{\violin@opt}{ymin}
+ \ifthenelse{
+ \equal{\theresult}{0}
+ }{}{
+ \let\violin@axis@ymin\violin@opt
+ }
+ \whereisword[q]{\violin@opt}{ymax}
+ \ifthenelse{
+ \equal{\theresult}{0}
+ }{}{
+ \let\violin@axis@ymax\violin@opt
+ }
+ }
+
+ \def\violin@axislimits{
+ \violin@axis@xmin,\violin@axis@xmax,
+ \violin@axis@ymin,\violin@axis@ymax,
+ }
+
+ \let\violin@axisoptions\violin@axislimits
+
+}
+
+\newcommand{\violinplot}[2][]{%
+
+ \pgfkeys{/violinplot, default, #1}
+
+ \def\violin@filename{#2}
+
+ \pgfplotstableread[%
+ col sep=\violin@colsep,
+ trim cells=true,
+ ]{\violin@filename}\theviolin@dataset@table
+
+ \pgfplotstablegetrowsof{\theviolin@dataset@table}
+ \pgfmathparse{int(\pgfmathresult-1)}
+ \let\violin@filename@lastindex\pgfmathresult
+
+ \pgfmathparse{0}
+ \let\violin@dataset@stddev\pgfmathresult
+ \let\violin@dataset@average\pgfmathresult
+
+ \pgfplotstableforeachcolumnelement{\violin@index}\of\theviolin@dataset@table\as\xi{%
+ \pgfmathparse{\violin@dataset@average+(\xi/(1+\violin@filename@lastindex))}
+ \let\violin@dataset@average\pgfmathresult
+ }
+
+ \ifthenelse{
+ \equal{\violin@datapoints}{true}
+ }{
+ \pgfplotstablecreatecol[
+ create col/assign/.code={
+ \let\entry\violin@delta
+ \pgfkeyslet{/pgfplots/table/create col/next content}\entry
+ }
+ ]{deltacol}\theviolin@dataset@table
+ }{}
+
+ \ifthenelse{
+ \equal{\violin@reverseaxis}{true}
+ }{
+ \def\violin@axis@x{y}
+ \def\violin@axis@y{x}
+ }{
+ \def\violin@axis@x{x}
+ \def\violin@axis@y{y}
+ }
+
+ \ifthenelse{%
+ \equal{\violin@bandwidth}{NONE}%
+ }{%
+ \pgfplotstableforeachcolumnelement{\violin@index}\of\theviolin@dataset@table\as\xi{%
+ \pgfmathparse{\violin@dataset@stddev+(\xi-\violin@dataset@average)^2}
+ \let\violin@dataset@stddev\pgfmathresult
+ }
+ \pgfmathparse{sqrt(\violin@dataset@stddev/(1+\violin@filename@lastindex))}
+ \let\violin@dataset@stddev\pgfmathresult
+ \pgfmathparse{1.06*\violin@dataset@stddev*((1+\violin@filename@lastindex)^(-0.2))}%
+ \let\violin@bandwidth\pgfmathresult
+ }{%
+ }
+
+ \pgfplotstablegetelem{0}{\violin@index}\of{\theviolin@dataset@table}
+ \let\violin@dataset@min\pgfplotsretval
+ \let\violin@dataset@max\pgfplotsretval
+ \pgfplotstableforeachcolumnelement{\violin@index}\of\theviolin@dataset@table\as\xi{%
+ \pgfmathparse{%
+ \xi > \violin@dataset@min ? int(0) : int(1)%
+ }
+ \ifthenelse{
+ \pgfmathresult = 1
+ }{
+ \let\violin@dataset@min\xi
+ }{
+ }
+ }
+ \pgfmathparse{\violin@dataset@min - 3*\violin@bandwidth}
+ \let\violin@dataset@min\pgfmathresult
+
+ \pgfplotstableforeachcolumnelement{\violin@index}\of\theviolin@dataset@table\as\xi{%
+ \pgfmathparse{%
+ \xi < \violin@dataset@max ? int(0) : int(1)%
+ }
+ \ifthenelse{
+ \pgfmathresult = 1
+ }{
+ \let\violin@dataset@max\xi
+ }{
+ }
+ }
+ \pgfmathparse{\violin@dataset@max + 3*\violin@bandwidth}
+ \let\violin@dataset@max\pgfmathresult
+
+ \pgfplotstableset{
+ create on use/list/.style={create col/expr={
+ \violin@dataset@min + (\violin@dataset@max-\violin@dataset@min)
+ *(\pgfplotstablerow/(\violin@samples-1))
+ }}
+ }
+
+
+ \pgfplotstablenew[columns={list}]{\violin@samples}\violin@kde
+
+ \pgfmathparse{0.0}
+ \let\violin@kde@max\pgfmathresult
+
+ \pgfplotstablecreatecol[
+ create col/assign/.code={
+ \pgfmathparse{\violin@filename@lastindex+1}
+ \let\violin@filename@lastindex\pgfmathresult
+ \pgfmathparse{%
+ 1.0/(\violin@filename@lastindex*\violin@bandwidth)
+ }
+ \let\violin@kde@factor\pgfmathresult
+ \pgfmathparse{0}
+ \let\violin@kde@accum\pgfmathresult
+ \pgfplotstableforeachcolumnelement{\violin@index}\of\theviolin@dataset@table\as\xi{%
+ \pgfmathparse{%
+ ((\xi-\thisrow{list})/%
+ \violin@bandwidth)}
+ \let\violin@u\pgfmathresult
+ \ifthenelse{
+ \equal{\violin@kernel}{gaussian}
+ }{
+ \pgfmathparse{\violin@kde@accum + %
+ e^(-0.5*\violin@u*\violin@u)/sqrt(2*pi)}
+ \let\violin@kde@accum\pgfmathresult
+ }{}
+ \ifthenelse{
+ \equal{\violin@kernel}{logistic}
+ }{
+ \pgfmathparse{\violin@kde@accum + %
+ 1/(e^\violin@u + 2 + e^(-\violin@u))
+ }
+ \let\violin@kde@accum\pgfmathresult
+ }{}
+ \ifthenelse{
+ \equal{\violin@kernel}{parabolic}
+ }{
+ \pgfmathparse{%
+ abs(\violin@u) < 1 ? int(0) : int(1)%
+ }
+ \ifthenelse{
+ \equal{\pgfmathresult}{0}
+ }{
+ \pgfmathparse{\violin@kde@accum + %
+ 0.75*(1-\violin@u*\violin@u)
+ }
+ }{
+ \pgfmathparse{\violin@kde@accum}
+ }
+ \let\violin@kde@accum\pgfmathresult
+ }{}
+ \ifthenelse{
+ \equal{\violin@kernel}{uniform}
+ }{
+ \pgfmathparse{%
+ abs(\violin@u) < 1 ? int(0) : int(1)%
+ }
+ \ifthenelse{
+ \equal{\pgfmathresult}{0}
+ }{
+ \pgfmathparse{\violin@kde@accum + 0.5}
+ }{
+ \pgfmathparse{\violin@kde@accum}
+ }
+ \let\violin@kde@accum\pgfmathresult
+ }{}
+ \ifthenelse{
+ \equal{\violin@kernel}{triangular}
+ }{
+ \pgfmathparse{%
+ abs(\violin@u) < 1 ? int(0) : int(1)%
+ }
+ \ifthenelse{
+ \equal{\pgfmathresult}{0}
+ }{
+ \pgfmathparse{\violin@kde@accum + %
+ 1-abs(\violin@u)}
+ }{
+ \pgfmathparse{\violin@kde@accum}
+ }
+ \let\violin@kde@accum\pgfmathresult
+ }{}
+ }
+ \pgfmathparse{\violin@kde@accum*\violin@kde@factor}
+ \let\entry\pgfmathresult
+ \pgfkeyslet{/pgfplots/table/create col/next content}\entry
+ }
+ ]{kdecol}\violin@kde
+
+ \pgfplotstableforeachcolumnelement{kdecol}\of\violin@kde\as\entry{%
+ \pgfmathparse{%
+ \entry < \violin@kde@max ? int(0) : int(1)%
+ }
+ \ifthenelse{
+ \pgfmathresult = 1
+ }{
+ \let\violin@kde@max\entry
+ }{
+ }
+ }
+
+ \pgfplotstablemodifyeachcolumnelement{kdecol}\of\violin@kde\as\cell{%
+ \let\pgfplotstablezero\violin@delta
+ \ifthenelse{
+ \pgfplotstablerow = 0
+ }{
+ \let\cell\pgfplotstablezero
+ }{
+ \pgfmathparse{int(\violin@samples-1)}
+ \ifthenelse{
+ \pgfplotstablerow = \pgfmathresult
+ }{
+ \let\cell\pgfplotstablezero
+ }{
+ \ifthenelse{
+ \equal{\violin@nomirror}{true}
+ }{
+ \pgfmathparse{1.9}
+ }{
+ \pgfmathparse{1}
+ }
+ \let\violin@mirror@factor\pgfmathresult
+ \ifthenelse{
+ \equal{\violin@scaled}{true}
+ }{
+ \pgfmathparse{\violin@delta+\violin@mirror@factor*0.5*\cell/\violin@kde@max}
+ }{
+ \pgfmathparse{\violin@delta+\violin@mirror@factor*\cell}
+ }
+ \let\cell\pgfmathresult
+ }
+ }
+ }
+
+ \ifthenelse{
+ \equal{\violin@nomirror}{false}
+ }{
+ \pgfplotstablecreatecol[
+ create col/assign/.code={
+ \pgfmathparse{-\thisrow{kdecol}+2*\violin@delta}
+ \let\entry\pgfmathresult
+ \pgfkeyslet{/pgfplots/table/create col/next content}\entry
+ }
+ ]{kdecolinv}\violin@kde
+ }{
+ \ifthenelse{
+ \equal{\violin@invert}{true}
+ }{
+ \pgfplotstablemodifyeachcolumnelement{kdecol}\of\violin@kde\as\cell{%
+ \pgfmathparse{-\cell+2*\violin@delta}
+ \let\cell\pgfmathresult
+ }
+ }{}
+ }
+
+ \ifthenelse{
+ \equal{\violin@reverseaxis}{true}
+ }{
+ \pgfkeys{
+ /pgfplots/xticklabels={,,},
+ /pgfplots/yticklabels={\violin@label},
+ /pgfplots/ytick={\violin@delta},
+ }
+ }{
+ \pgfkeys{
+ /pgfplots/yticklabels={,,},
+ /pgfplots/xticklabels={\violin@label},
+ /pgfplots/xtick={\violin@delta},
+ }
+ }
+
+ \begin{axis}[
+ \violin@axisoptions,
+ axis on top,
+ ]
+ \addplot[
+ no marks,
+ color=\violin@color,
+ ] table [
+ \violin@axis@x=kdecol, \violin@axis@y=list
+ ] {\violin@kde};
+ \addplot[
+ no marks,
+ fill=\violin@color,
+ opacity=0.50,
+ ] table [
+ \violin@axis@x=kdecol, \violin@axis@y=list
+ ] {\violin@kde};
+ \ifthenelse{
+ \equal{\violin@nomirror}{false}
+ }{
+ \addplot[
+ no marks,
+ color=\violin@color,
+ ] table [
+ \violin@axis@x=kdecolinv, \violin@axis@y=list
+ ] {\violin@kde};
+ \addplot[
+ no marks,
+ fill=\violin@color,
+ opacity=0.50,
+ ] table [
+ \violin@axis@x=kdecolinv, \violin@axis@y=list
+ ] {\violin@kde};
+ }{}
+ \ifthenelse{
+ \equal{\violin@nomirror}{true}
+ }{
+ \ifthenelse{
+ \equal{\violin@reverseaxis}{false}
+ }{
+ \addplot[
+ no marks,
+ color=black,
+ ] coordinates {
+ (\violin@delta,\pgfkeysvalueof{/pgfplots/ymin})%
+ (\violin@delta,\pgfkeysvalueof{/pgfplots/ymax})
+ };
+ }{
+ \addplot[
+ no marks,
+ color=black,
+ ] coordinates {
+ (\pgfkeysvalueof{/pgfplots/xmin},\violin@delta)%
+ (\pgfkeysvalueof{/pgfplots/xmax},\violin@delta)
+ };
+ }
+ }{}
+ \ifthenelse{
+ \equal{\violin@averages}{true}
+ }{
+ \ifthenelse{
+ \equal{\violin@reverseaxis}{true}
+ }{
+ \addplot[
+ only marks,
+ mark=\violin@avg@mark,
+ mark size=\violin@avg@size,
+ color=\violin@avg@color,
+ opacity=\violin@avg@opacity,
+ fill=\violin@avg@fillcolor,
+ fill opacity=\violin@avg@fillopacity,
+ ] coordinates {
+ (\violin@dataset@average,\violin@delta)
+ };
+ }{
+ \addplot[
+ only marks,
+ mark=\violin@avg@mark,
+ mark size=\violin@avg@size,
+ color=\violin@avg@color,
+ opacity=\violin@avg@opacity,
+ fill=\violin@avg@fillcolor,
+ fill opacity=\violin@avg@fillopacity,
+ ] coordinates {
+ (\violin@delta,\violin@dataset@average)
+ };
+ }
+ }{}
+ \ifthenelse{
+ \equal{\violin@datapoints}{true}
+ }{
+ \addplot[
+ only marks,
+ mark=\violin@pts@mark,
+ mark size=\violin@pts@size,
+ color=\violin@pts@color,
+ opacity=\violin@pts@opacity,
+ fill=\violin@pts@fillcolor,
+ fill opacity=\violin@pts@fillopacity,
+ ] table [
+ \violin@axis@x=deltacol,
+ \violin@axis@y=\violin@index,
+ ] {\theviolin@dataset@table};
+ }{}
+ \end{axis}
+
+}
+
+\newcommand{\violin@getnth}[2]{%
+ \pgfmathparse{int(0)}
+ \let\violin@getnth@counter\pgfmathresult
+ \let\violin@nthelem\pgfmathresult
+ \@for\violin@listelem:=#1\do{
+ \ifthenelse{
+ \equal{#2}{\violin@getnth@counter}
+ }{
+ \let\violin@nthelem\violin@listelem
+ \pgfmathparse{int(\violin@getnth@counter+1)}
+ \let\violin@getnth@counter\pgfmathresult
+ }{
+ \pgfmathparse{int(\violin@getnth@counter+1)}
+ \let\violin@getnth@counter\pgfmathresult
+ }
+ }
+}
+
+\newcommand{\violinplotwholefile}[2][]{%
+
+ \pgfkeys{/violinplotwholefile, default, #1}
+ \def\violin@batch@filename{#2}
+
+ \pgfmathparse{0}
+ \let\violin@batch@numofplots\pgfmathresult
+ \@for\index:=\violin@batch@indexes\do{
+ \pgfmathparse{int(\violin@batch@numofplots+1)}
+ \let\violin@batch@numofplots\pgfmathresult
+ }
+
+ \pgfmathparse{0}
+ \let\violin@batch@color@deg\pgfmathresult
+ \let\violin@batch@counter\pgfmathresult
+ \let\violin@batch@relativepos\pgfmathresult
+
+ \@for\violin@batch@index:=\violin@batch@indexes\do{
+ \pgfmathparse{int(\violin@batch@counter*%
+ (100/(\violin@batch@numofplots-1)))}
+ \let\violin@batch@color@deg\pgfmathresult
+ \edef\violin@batch@color{\violin@batch@color@primary!\violin@batch@color@deg!\violin@batch@color@secondary}
+
+ \violin@getnth{\violin@batch@labels}{\violin@batch@counter}
+ \let\violin@batch@label\violin@nthelem
+
+ \pgfmathparse{1+\violin@batch@counter*\violin@batch@delta}
+ \let\violin@batch@relativepos\pgfmathresult
+
+ \violinplot[%
+ col sep = \violin@batch@colsep,
+ bandwidth=\violin@batch@bandwidth,
+ kernel = \violin@batch@kernel,
+ index=\violin@batch@index,
+ relative position=\violin@batch@relativepos,
+ samples = \violin@batch@samples,
+ color=\violin@batch@color,
+ label={\violin@batch@label},
+ average mark = \violin@batch@avg@mark,
+ average size = \violin@batch@avg@size,
+ average color = \violin@batch@avg@color,
+ average opacity = \violin@batch@avg@opacity,
+ average fill = \violin@batch@avg@fillcolor,
+ average fill opacity = \violin@batch@avg@fillopacity,
+ dataset mark = \violin@batch@pts@mark,
+ dataset size = \violin@batch@pts@size,
+ dataset color = \violin@batch@pts@color,
+ dataset opacity = \violin@batch@pts@opacity,
+ dataset fill = \violin@batch@pts@fillcolor,
+ dataset fill opacity = \violin@batch@pts@fillopacity,
+ ]{\violin@batch@filename}
+
+ \pgfmathparse{int(\violin@batch@counter+1)}
+ \let\violin@batch@counter\pgfmathresult
+ }
+
+}
+
diff --git a/Master/tlpkg/bin/tlpkg-ctan-check b/Master/tlpkg/bin/tlpkg-ctan-check
index 58248577c22..f33a118cbd7 100755
--- a/Master/tlpkg/bin/tlpkg-ctan-check
+++ b/Master/tlpkg/bin/tlpkg-ctan-check
@@ -814,7 +814,7 @@ my @TLP_working = qw(
tikzmark tikzmarmots tikzorbital
tikzpackets tikzpagenodes tikzpeople tikzpfeile tikzpingus tikzposter
tikzscale tikzsymbols
- tikztosvg tile-graphic
+ tikztosvg tikzviolinplots tile-graphic
timbreicmc times timetable timing-diagrams tinos tipa tipa-de tipauni tipfr
tiscreen titlecaps titlefoot titlepages titlepic titleref titlesec titling
tkz-base tkz-berge tkz-doc tkz-euclide tkz-fct tkz-graph tkz-tab
diff --git a/Master/tlpkg/tlpsrc/collection-pictures.tlpsrc b/Master/tlpkg/tlpsrc/collection-pictures.tlpsrc
index 916f1180f75..d99c524fe89 100644
--- a/Master/tlpkg/tlpsrc/collection-pictures.tlpsrc
+++ b/Master/tlpkg/tlpsrc/collection-pictures.tlpsrc
@@ -212,6 +212,7 @@ depend tikzposter
depend tikzscale
depend tikzsymbols
depend tikztosvg
+depend tikzviolinplots
depend tile-graphic
depend timing-diagrams
depend tipfr
diff --git a/Master/tlpkg/tlpsrc/tikzviolinplots.tlpsrc b/Master/tlpkg/tlpsrc/tikzviolinplots.tlpsrc
new file mode 100644
index 00000000000..e69de29bb2d
--- /dev/null
+++ b/Master/tlpkg/tlpsrc/tikzviolinplots.tlpsrc
generated by cgit v1.2.3 (git 2.39.1) at 2024-11-07 14:38:08 +0000