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表格最佳实践-如何合并多个半相关表格

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表格最佳实践-如何合并多个半相关表格

对于与上下文半相关的表格，最佳做法是什么？我遇到的问题是，目前表格占用了我工作中的很大空间，但也是必需的。最佳做法是什么，既能使它们易于阅读，又能减少空间？

\begin{table}[!htb]
\centering
\caption{Accuracy of the different constellations}
\label{tab:nn_acc_const}
\begin{tabular}{rlllll}
\toprule
\multicolumn{1}{l}{}                                                                                         & Size & Const1 & Const2 & Const3 & Const4 \\ \midrule \multirow{4}{*}{\begin{tabular}[c]{@{}r@{}}Accuracy\\ Training\end{tabular}}   & \SI{25}{\%}           & 27.67           & 26.22           & 26.29           & 26.11           \\                                                                                        & \SI{50}{\%}           & 26.5            & 23.78           & 24.31           & 24.34           \\                                                                                       & \SI{75}{\%}           & 25.37           & 25.83           & 24.33           & 23.74           \\                                                                                       & \SI{100}{\%}          & 25.83           & 24.65           & 22.59           & 23.31           \\ \midrule
\multirow{4}{*}{\begin{tabular}[c]{@{}r@{}}Accuracy\\ Validation\end{tabular}} & \SI{25}{\%}           & 18.2            & 18.84           & 18.27           & 21              \\                                                                                        & \SI{50}{\%}           & 17.86           & 22.32           & 18.34           & 19.27           \\                                                                                       & \SI{75}{\%}           & 20.07           & 20.99           & 18.8            & 20.96           \\                                                                                       & \SI{100}{\%}          & 21.06           & 21.22           & 18.2            & 19.56     \\ \bottomrule     
\end{tabular}
\end{table}


\begin{table}[]
\centering
\caption{Loss of the different constellations}
\label{tab:nn_loss_const}
\begin{tabular}{rlllll}
\toprule
\multicolumn{1}{l}{}                                                                                     & Size & Const1 & Const2 & Const3 & Const4 \\ \midrule
\multirow{4}{*}{\begin{tabular}[c]{@{}r@{}}Loss\\ Training\end{tabular}}   & \SI{25}{\%}          & 0.047           & 0.034           & 0.039           & 0.029           \\                                                                                   & \SI{50}{\%}           & 0.036           & 0.26            & 0.029           & 0.023           \\                                                                                   & \SI{75}{\%}           & 0.030           & 0.21            & 0.025           & 0.019           \\                                                                                    & \SI{100}{\%}          & 0.025           & 0.018           & 0.021           & 0.16            \\ \midrule
\multirow{4}{*}{\begin{tabular}[c]{@{}r@{}}Loss\\ Validation\end{tabular}} & \SI{25}{\%}           & 0.2             & 0.14            & 0.17            & 0.12            \\                                                                                    & \SI{50}{\%}           & 0.15            & 0.1             & 0.12            & 0.09            \\                                                                                   & \SI{75}{\%}           & 0.12            & 0.088           & 0.1             & 0.077           \\                                                                                    & \SI{100}{\%}          & 0.1             & 0.075           & 0.086           & 0.066   \\ \bottomrule   
\end{tabular}
\end{table}


\begin{table}[]
\centering
\caption{Overview of \gls{EMG} and \gls{IMU} Accuracy per arm position}
\label{tab:nn_acc_pos}
\begin{adjustbox}{max width=\textwidth}
\begin{tabular}{@{}lllllll@{}}
\toprule
\textit{} & IMU$_{train}$ & IMU$_{val}$ & EMG$_{train}$ & EMG$_{val}$ & Combined$_{train}$ & Combined$_{val}$ \\ \midrule
lower     & 23.83         & 18.75       & x             & x           & 23.83              & 18.75            \\
middle    & 26.33         & 20.19       & 28.46         & 16.85       & 22.89              & 18.99            \\
upper     & 23.91         & 20.68       & 25.36         & 16.57       & 20.59              & 18.66            \\ \bottomrule
\end{tabular}
\end{adjustbox}
\end{table}


\begin{table}[]
\centering
\caption{Overview of \gls{EMG} and \gls{IMU} Loss per arm position}
\label{tab:nn_loss_pos}
\begin{adjustbox}{max width=\textwidth}
\begin{tabular}{@{}lllllll@{}}
\toprule
\textit{} & IMU$_{train}$ & IMU$_{val}$ & EMG$_{train}$ & EMG$_{val}$ & Combined$_{train}$ & Combined$_{val}$ \\ \midrule
lower     & 0.025         & 0.105       & x             & x           & 0.025              & 0.105            \\
middle    & 0.024         & 0.1         & 0.026         & 0.12        & 0.018              & 0.077            \\
upper     & 0.018         & 0.07        & 0.019         & 0.08        & 0.013              & 0.054            \\ \bottomrule
\end{tabular}
\end{adjustbox}
\end{table}

第一个表格页面的渲染 PDF 视图

和

\begin{table}[]
\centering
\caption{Accuracy of size and speed limitations}
\label{tab:nn_acc_limits}
\begin{adjustbox}{max width=\textwidth}
\begin{tabular}{@{}lllllll@{}}
\toprule
\textit{} & slow$_{train}$ & slow$_{val}$ & fast$_{train}$ & fast$_{val}$ & combined$_{train}$ & combined$_{val}$ \\ \midrule
5cm       & 23.05          & 18.1         & 23.98          & 18.69        & 22.18              & 18.27            \\
10cm      & 24.34          & 21.49        & 24.37          & 20.39        & 22.24              & 20.94            \\
combined  & 21.59          & 18.56        & 21.72          & 18.29        & 20.63              & 18.94            \\ \bottomrule
\end{tabular}
\end{adjustbox}
\end{table}

\begin{table}[]
\centering
\caption{Loss of size and speed limitations}
\label{tab:nn_loss_limits}
\begin{adjustbox}{max width=\textwidth}
\begin{tabular}{@{}lllllll@{}}
\toprule
\textit{} & slow$_{train}$ & slow$_{val}$ & fast$_{train}$ & fast$_{val}$ & combined$_{train}$ & combined$_{val}$ \\ \midrule
5cm       & 0.02           & 0.083        & 0.02           & 0.084        & 0.014              & 0.058            \\
10cm      & 0.019          & 0.08         & 0.02           & 0.083        & 0.014              & 0.057            \\
combined  & 0.014          & 0.057        & 0.014          & 0.058        & 0.01               & 0.041            \\ \bottomrule
\end{tabular}
\end{adjustbox}
\end{table}
\begin{table}[]
\centering
\caption{Accuracy of the standard settings and the tuned settings for the \gls{RFC}}
\label{tab:compar_acc}
\begin{tabular}{@{}lll@{}}
\toprule
\textit{} & Standard settings & Tuned settings \\ \midrule
combined  & 0.161             & 0.167          \\
IMU       & 0.18              & 0.185          \\
EMG       & 0.139             & 0.139          \\ \bottomrule
\end{tabular}
\end{table}
\begin{table}[]
\centering
\caption{NeuroKit pipeline Accuracy comparison using \gls{RFC}}
\label{tab:compar_nk_acc_rfc}
\begin{tabular}{@{}llll@{}}
\toprule
\textit{} & \begin{tabular}[c]{@{}l@{}}Standard settings \\ normal pipeline\end{tabular} & \begin{tabular}[c]{@{}l@{}}Standard settings \\ NK pipeline\end{tabular} & \begin{tabular}[c]{@{}l@{}}Tuned settings \\ NK pipeline\end{tabular} \\ \midrule
combined  & 0.161                                                                          & 0.204                                                                      & 0.197                                                                   \\
IMU       & 0.18                                                                           & 0.252                                                                      & 0.255                                                                   \\
EMG       & 0.139                                                                          & 0.115                                                                      & 0.111                                                                   \\ \bottomrule
\end{tabular}
\end{table}

\begin{table}[]
\centering
\caption{NeuroKit pipeline Accuracy comparison using \gls{NN}}
\label{tab:compar_nk_acc_nn}
\begin{tabular}{@{}lllll@{}}
\toprule
\textbf{} & Standard$_{train}$ & Standard$_{test}$ & NK pipeline$_{train}$ & NK pipeline$_{test}$ \\ \midrule
combined  & 20.63              & 18.94             & 23.68                 & 21.82                \\
IMU       & 22.92              & 20.28             & 29.75                 & 26.86                \\
EMG       & 22                 & 17                & 17.32                 & 15.89                \\ \bottomrule
\end{tabular}
\end{table}

第二个表格页面的渲染 PDF 视图

答案1

什么是“最佳实践”取决于个人观点。例如，在您的 MWE 中，我将使用能够编写清晰简短代码的包：

\documentclass{article}
\usepackage[showframe,  % in real document delete this option
            vmargin=25mm]{geometry}
\renewcommand{\textfraction}{0.07}
\setcounter{totalnumber}{4}
%
\usepackage[skip=1ex,
            font=small, labelfont=bf]{caption}
\usepackage{tabularray} % new
\UseTblrLibrary{booktabs, siunitx, varwidth} % new
\newcommand\gls[1]{\textcolor{cyan}{#1}}

\begin{document}
    \begin{table}[ht]
\centering
\caption{Accuracy of the different constellations}
\label{tab:nn_acc_const}
    \begin{tblr}{colspec = {@{} Q[r, wd=5em]
                                Q[c, si={table-format=3{\,\%}}]
                           *{4}{Q[c, si={table-format=2.2}]} @{}},
                  rowsep = 1pt,
                 measure = vbox}
    \toprule
    & {{{Size}}}        & {{{Const$_1$}}}   & {{{Const$_2$}}}  
    & {{{Const$_3$}}}   & {{{Const$_4$}}}   \\ 
    \midrule 
\SetCell[r=4]{r}   Accuracy Training
    &  25\,\%   & 27.67 & 26.22 & 26.29 & 26.11     \\                                                                                        &  50\,\%   & 26.5  & 23.78 & 24.31 & 24.34     \\                                                                                       &  75\,\%   & 25.37 & 25.83 & 24.33 & 23.74     \\                                                                                       & 100\,\%   & 25.83 & 24.65 & 22.59 & 23.31     \\ 
    \midrule
\SetCell[r=4]{r}   Accuracy Validation
    &  25\,\%   & 18.2  & 18.84 & 18.27 & 21        \\                                                                                        &  50\,\%   & 17.86 & 22.32 & 18.34 & 19.27     \\                                                                                       &  75\,\%   & 20.07 & 20.99 & 18.8  & 20.96     \\                                                                                       & 100\,\%   & 21.06 & 21.22 & 18.2  & 19.56     \\ 
    \bottomrule
\end{tblr}
    \end{table}

    \begin{table}[ht]
\centering
\caption{Loss of the different constellations}
\label{tab:nn_loss_const}
     \begin{tblr}{colspec = {@{} Q[r, wd=5em]
                                Q[c, si={table-format=3{\,\%}}]
                           *{4}{Q[c, si={table-format=2.3}]} @{}},
                  rowsep = 1pt,
                 measure = vbox}
    \toprule
    & {{{Size}}}        & {{{Const$_1$}}}   & {{{Const$_2$}}}
    & {{{Const$_3$}}}   & {{{Const$_4$}}}   \\
    \midrule
\SetCell[r=4]{r}   Loss Training
    &  25\,\%   & 0.047 & 0.034 & 0.039 & 0.029     \\                                                                                   &  50\,\%   & 0.036 & 0.26  & 0.029 & 0.023     \\                                                                                   &  75\,\%   & 0.030 & 0.21  & 0.025 & 0.019     \\                                                                                    & 100\,\%   & 0.025 & 0.018 & 0.021 & 0.16      \\ 
    \midrule
\SetCell[r=4]{r}   Loss Validation
    &  25\,\%   & 0.2   & 0.14  & 0.17  & 0.12      \\                                                                                    &  50\,\%   & 0.15  & 0.1   & 0.12  & 0.09      \\                                                                                   &  75\,\%   & 0.12  & 0.088 & 0.1   & 0.077     \\                                                                                    & 100\,\%   & 0.1   & 0.075 & 0.086 & 0.066     \\
    \bottomrule
\end{tblr}
    \end{table}

    \begin{table}[ht]
\centering
\caption{Overview of \gls{EMG} and \gls{IMU} Accuracy per arm position}
\label{tab:nn_acc_pos}
     \begin{tblr}{colspec = {@{} Q[r, wd=3em]
                            *{6}{Q[c, si={table-format=2.2}]} @{}},
                  colsep=3pt,
                  rowsep = 1pt,
                 measure = vbox}
    \toprule
    & {{{IMU\textsubscript{train}}}}        & {{{IMU\textsubscript{val}}}}
    & {{{EMG\textsubscript{train}}}}        & {{{EMG\textsubscript{val}}}}
    & {{{Combined\textsubscript{train}}}}   & {{{Combined\textsubscript{val}}}} \\
    \midrule
lower   & 23.83 & 18.75 & {{{--}}}  & {{{--}}}  & 23.83 & 18.75 \\
middle  & 26.33 & 20.19 & 28.46     & 16.85     & 22.89 & 18.99 \\
upper   & 23.91 & 20.68 & 25.36     & 16.57     & 20.59 & 18.66 \\
    \bottomrule
\end{tblr}
    \end{table}

    \begin{table}[ht]
\centering
\caption{Overview of \gls{EMG} and \gls{IMU} Loss per arm position}
\label{tab:nn_acc_pos}
     \begin{tblr}{colspec = {@{} Q[r, wd=3em]
                            *{6}{Q[c, si={table-format=2.3}]} @{}},
                  rowsep = 1pt,
                 measure = vbox}
    \toprule
    & {{{IMU\textsubscript{train}}}}        & {{{IMU\textsubscript{val}}}}
    & {{{EMG\textsubscript{train}}}}        & {{{EMG\textsubscript{val}}}}
    & {{{Combined\textsubscript{train}}}}   & {{{Combined\textsubscript{val}}}} \\
    \midrule
lower   & 0.025 & 0.105 & {{{--}}}  & {{{--}}}  & 0.025 & 0.105 \\
middle  & 0.024 & 0.1   & 0.026     & 0.12      & 0.018 & 0.077 \\
upper   & 0.018 & 0.07  & 0.019     & 0.08      & 0.013 & 0.054 \\ 
    \bottomrule
\end{tblr}
    \end{table}
\end{document}

在此处输入图片描述

答案2

先说一句：我没有资格宣布哪些与表格相关的格式做法可能是最好的。此外，我的建议不可避免地是基于个人观点的。尽管如此，我相信它们仍然有用。

当然，如果有两个结构非常相似的表 - 比如，一个是关于某个实体的“准确性”，另一个是关于“损失” - 我会subtable在同一table环境中为它们设置环境，并为整个表以及两个子表提供标题。

关于您的示例表格，有一件事立即引人注目，那就是您并没有竭尽全力提供丰富的视觉结构，尤其是在标题行中。这很不幸，因为如果您确实提供了一些有用的视觉结构，您的读者实际上会费心研究表格内容的可能性将大大提高。下面的代码提供了一些建议，希望这些建议能在这方面激发您自己的格式化工作。

最后说一句：如果提供足够的视觉结构和保持表格材料简短之间存在冲突，那么我肯定会倾向于追求前一个目标。

在此处输入图片描述

\documentclass{article} % or some other suitable document class

\usepackage[letterpaper,margin=2.5cm]{geometry} % set appropriate page parameters
\usepackage{booktabs,siunitx}

\providecommand\gls[1]{#1} % provide a dummy definition for "\gls"

\usepackage[skip=0.25\baselineskip]{subcaption} % <-- new instruction

\begin{document}

\begin{table}[!htbp]
\caption{Accuracy and loss of the four constellations}
\label{tab:nn_const}

\begin{subtable}{\textwidth}
\centering
\caption{Accuracy} \label{tab:nn_const_acc}

\begin{tabular}{@{} l *{4}{S[table-format=2.2]} @{}}
\toprule
Size & \multicolumn{4}{c@{}}{{Constellations}} \\
\cmidrule(l){2-5}
& {1} & {2} & {3} & {4} \\ 
\midrule 
Training \\
\SI{25}{\%}   & 27.67  & 26.22  & 26.29  & 26.11  \\ 
\SI{50}{\%}   & 26.5   & 23.78  & 24.31  & 24.34  \\
\SI{75}{\%}   & 25.37  & 25.83  & 24.33  & 23.74  \\
\SI{100}{\%}  & 25.83  & 24.65  & 22.59  & 23.31  \\ 
\midrule
Validation \\
\SI{25}{\%}   & 18.2   & 18.84  & 18.27  & 21     \\ 
\SI{50}{\%}   & 17.86  & 22.32  & 18.34  & 19.27  \\
\SI{75}{\%}   & 20.07  & 20.99  & 18.8   & 20.96  \\
\SI{100}{\%}  & 21.06  & 21.22  & 18.2   & 19.56  \\ 
\bottomrule     
\end{tabular}

\end{subtable}

\bigskip

\begin{subtable}{\textwidth}
\centering
\caption{Loss} \label{tab:nn_const_loss}

\begin{tabular}{@{} l *{4}{S[table-format=1.3]} @{}}
\toprule
Size & \multicolumn{4}{c@{}}{{Constellations}} \\
\cmidrule(l){2-5}
& {1} & {2} & {3} & {4} \\ 
\midrule 
Training \\
\SI{25}{\%}   & 0.047  & 0.034  & 0.039  & 0.029  \\                                                           \SI{50}{\%}   & 0.036  & 0.26   & 0.029  & 0.023  \\                                                           \SI{75}{\%}   & 0.030  & 0.21   & 0.025  & 0.019  \\                                                            \SI{100}{\%}  & 0.025  & 0.018  & 0.021  & 0.16   \\ 
\midrule
Validation  \\
\SI{25}{\%}   & 0.2    & 0.14   & 0.17   & 0.12   \\                                                            \SI{50}{\%}   & 0.15   & 0.1    & 0.12   & 0.09   \\                                                           \SI{75}{\%}   & 0.12   & 0.088  & 0.1    & 0.077  \\                                                            \SI{100}{\%}  & 0.1    & 0.075  & 0.086  & 0.066  \\ 
\bottomrule   
\end{tabular}

\end{subtable}

\end{table}



\begin{table}[htbp!]
\caption{Accuracy and loss of \gls{EMG} and \gls{IMU}, per arm position}
\label{tab:nn_pos}

\begin{subtable}{\textwidth}
\centering
\caption{Accuracy} \label{tab:nn_pos_acc}

\begin{tabular}{@{} l *{6}{S[table-format=2.2]} @{}}
\toprule
& \multicolumn{2}{c}{IMU} & \multicolumn{2}{c}{EMG} & \multicolumn{2}{c@{}}{Combined} \\
\cmidrule(lr){2-3} \cmidrule(lr){4-5} \cmidrule(l){6-7}
& {train} & {val} & {train} & {val} & {train} & {val} \\
\midrule
lower     & 23.83  & 18.75  & {--}    & {--}  & 23.83  & 18.75   \\
middle    & 26.33  & 20.19  & 28.46  & 16.85  & 22.89  & 18.99   \\
upper     & 23.91  & 20.68  & 25.36  & 16.57  & 20.59  & 18.66   \\ 
\bottomrule
\end{tabular}

\end{subtable}

\bigskip

\begin{subtable}{\textwidth}
\centering
\caption{Loss} \label{tab:nn_pos_loss}

\begin{tabular}{@{} l *{6}{S[table-format=1.3]} @{}}
\toprule
& \multicolumn{2}{c}{IMU} & \multicolumn{2}{c}{EMG} & \multicolumn{2}{c@{}}{Combined} \\
\cmidrule(lr){2-3} \cmidrule(lr){4-5} \cmidrule(l){6-7}
& {train} & {val} & {train} & {val} & {train} & {val} \\
\midrule
lower  & 0.025  & 0.105  & {--}   & {--}   & 0.025  & 0.105   \\
middle & 0.024  & 0.1    & 0.026  & 0.12   & 0.018  & 0.077   \\
upper  & 0.018  & 0.07   & 0.019  & 0.08   & 0.013  & 0.054   \\ 
\bottomrule
\end{tabular}

\end{subtable}

\end{table}

\end{document}

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