![Supertabular* 两栏文章模板](https://linux22.com/image/436715/Supertabular*%20%E4%B8%A4%E6%A0%8F%E6%96%87%E7%AB%A0%E6%A8%A1%E6%9D%BF.png)
在将一个很长的表格转换为超表格时,我遇到了一个问题,即超表格* 相当于表格*,但只是在下一页继续。举个例子,我不希望表格在以下列中继续,就像这篇关于平衡的文章,但更多的是相当于这个帖子两列上都有表格,继续下一页。最后一个是使用 xtab,我试过了,得到了类似的结果。
经过调查后,它可能与“水平模式”中的 \dimexpr 相关联,并以某种方式由 supertabular* 触发,但我不明白该错误的原因。
这是我的(M)WE:
\documentclass[twocolumn]{article}
\usepackage{supertabular, booktabs}
\newcommand{\tabitem}{~~\llap{\textbullet}~~}
\usepackage{array} %% Array m option in particular (center and sized)
\usepackage{diagbox} %% Array diagonal box
\usepackage{multirow} %for multi row in table
\begin{document}
Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;
\begin{center}
\tablefirsthead{%
\toprule
AI/ML Models & Prediction & Optimisation/ Automation & Analysis & Modelling/
Simulation \\ \midrule \\
}
\tablehead{%
%\hline\multicolumn{4}{|l|}{\small\sl continued from previous page}\\
\toprule
AI/ML Models & Prediction & Optimisation/ Automation & Analysis & Modelling/
Simulation \\ \midrule \\
}
\tabletail{%
\bottomrule
\multicolumn{5}{c}{\small continued on next page} \\
\bottomrule \\
}
\tablelasttail{%
\bottomrule \\
}
\tablecaption{Publication Distribution with the Design Space}
\label{tab: designSpace}
\begin{supertabular*}{@{}p{\dimexpr 0.20\textwidth-\tabcolsep \relax}p{\dimexpr 0.22\textwidth-2\tabcolsep \relax}p{\dimexpr 0.20\textwidth-2\tabcolsep \relax}p{\dimexpr 0.18\textwidth-2\tabcolsep \relax}p{\dimexpr 0.20\textwidth-\tabcolsep\relax }@{}}
%\begin{supertabular}{lllll}
%\endhead
Multi-Agent System (MAS)
&
&
&
&
\\
Evolutionary Algorithm (EA)
&
&
&
& \\
Simulated Annealing (SA)
&
&
&
& \\
Tabu search
&
&
&
& \\
Particle Swarm Optimisation
&
&
&
& \\
Ant Colony Algorithm
&
&
&
& \\
Bee Colony Algorithm
&
&
&
& \\
Neural Network (NN)
&
&
&
& \\
Deep Deterministic Policy Gradient (DDPG)
&
&
&
& \\
Convolutional Neural Networks (CNN)
&
&
&
& \\
Deep Q-Network (DQN)
&
&
&
& \\
Deep Learning
&
&
&
& \\
Autoencoder
&
&
&
& \\
Random Forest (RF)
&
&
&
& \\
Quantile Regression Forest
&
&
&
& \\
Gradient Boosting Machine (GBM)
&
&
&
& \\
Support Vector Machine (SVM)
&
&
&
& \\
Decision Tree
&
&
&
& \\
Fuzzy Logic
&
&
&
& \\
Linear Regression
&
&
&
& \\
Linear Functional Regression
&
&
&
& \\
Linear Discriminant Analysis (LDA)
&
&
&
& \\
Quadratic Discriminant Analysis (QDA)
&
&
&
& \\
Logistic regression
&
&
&
& \\
Binary logistic regression models
&
&
&
& \\
Gaussian Mixture Model
&
&
&
& \\
Bayesian Network
&
&
&
& \\
Recursive Bayesian estimation
&
&
&
& \\
k-nearest neighbor (k-NN)
&
&
&
&\\
Genetic algorithm
&
&
&
& \\
Hierarchical clustering
&
&
&
& \\
Dynamic Bayesian Belief Network
&
&
&
& \\
BIRCH
&
&
&
& \\
DBSCAN
&
&
&
& \\
OPTIC
&
&
&
& \\
K-means
&
&
&
& \\
Non Negative Matrix Factorisation (NMF)
&
&
&
& \\
A*
&
&
&
& \\
Multi-Layer Perceptron (MLP)
&
&
&
& \\
Deep Reinforcement Learning
&
&
&
& \\
Recurrent neural network \& LSTM
&
&
&
& \\
Reinforcement Learning
&
&
&
& \\
k-nearest neighbours (kNN)
&
&
&
& \\
Principal Component Analysis (PCA)
&
&
&
& \\
OPTICS clustering
&
&
&
& \\
Not referenced
&
&
&
& \\
\end{supertabular*}
\end{center}
Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;Some text;
\end{document}
非常感谢。
答案1
因此,我将对我的问题发表一个答案,虽然对我来说并不理想,但我使用了“cuted”包中的“strip”环境,并使用 supertabular 包中的 \shrinkheight{} 相应地修改了表格的第一次分割。解决方案归功于这个帖子,尤其是 Bernard 使用 xtab(而不是 supertabular)的回答。如果有人可以让 supertabular* 环境工作,请告诉我,我很想了解这个问题。
\documentclass[twocolumn]{article}
\usepackage{supertabular, booktabs}
\newcommand{\tabitem}{~~\llap{\textbullet}~~}
\usepackage{cuted}
\usepackage{array} %% Array m option in particular (center and sized)
\usepackage{diagbox} %% Array diagonal box
\usepackage{multirow} %for multi row in table
%\usepackage{xtab, booktabs}
\usepackage{blindtext}
\begin{document}
\blindtext[4]
%\begin{center}
\begin{strip}
\centering
%\setlength{\extrarowheight}{2pt}
\tablefirsthead{%
\toprule
AI/ML Models & Prediction & Optimisation/ Automation & Analysis & Modelling/
Simulation \\ \midrule \\
}
\tablehead{%
%\hline\multicolumn{4}{|l|}{\small\sl continued from previous page}\\
\toprule
AI/ML Models & Prediction & Optimisation/ Automation & Analysis & Modelling/
Simulation \\ \midrule \\
}
\tabletail{%
\bottomrule
\multicolumn{5}{c}{\small continued on next page} \\
\bottomrule \\
}
\tablelasttail{%
\bottomrule \\
}
\tablecaption{Publication Distribution with the Design Space}
\label{tab: designSpace}
\begin{supertabular}{@{}p{\dimexpr 0.20\textwidth-\tabcolsep \relax}p{\dimexpr 0.22\textwidth-2\tabcolsep \relax}p{\dimexpr 0.20\textwidth-2\tabcolsep \relax}p{\dimexpr 0.18\textwidth-2\tabcolsep \relax}p{\dimexpr 0.20\textwidth-\tabcolsep\relax }@{}}
%\begin{supertabular*}{p{0.20\textwidth}p{0.22\textwidth}p{0.20\textwidth}p{0.18\textwidth}p{ 0.20\textwidth}}
Multi-Agent System (MAS)
&
&
&
& \\
\shrinkheight{-60ex}
Evolutionary Algorithm (EA)
&
&
&
& \\
Simulated Annealing (SA)
&
&
&
& \\
Tabu search
&
&
&
& \\
Particle Swarm Optimisation
&
&
&
& \\
Ant Colony Algorithm
&
&
&
& \\
Bee Colony Algorithm
&
&
&
& \\
Neural Network (NN)
&
&
&
& \\
Deep Deterministic Policy Gradient (DDPG)
&
&
&
& \\
Convolutional Neural Networks (CNN)
&
&
&
& \\
Deep Q-Network (DQN)
&
&
&
& \\
Deep Learning
&
&
&
& \\
Autoencoder
&
&
&
& \\
Random Forest (RF)
&
&
&
& \\
Quantile Regression Forest
&
&
&
& \\
Gradient Boosting Machine (GBM)
&
&
&
& \\
Support Vector Machine (SVM)
&
&
&
& \\
Decision Tree
&
&
&
& \\
Fuzzy Logic
&
&
&
& \\
Linear Regression
&
&
&
& \\
Linear Functional Regression
&
&
&
& \\
Linear Discriminant Analysis (LDA)
&
&
&
& \\
Quadratic Discriminant Analysis (QDA)
&
&
&
& \\
Logistic regression
&
&
&
& \\
Binary logistic regression models
&
&
&
& \\
Gaussian Mixture Model
&
&
&
& \\
Bayesian Network
&
&
&
& \\
Recursive Bayesian estimation
&
&
&
& \\
k-nearest neighbor (k-NN)
&
&
&
&\\
Genetic algorithm
&
&
&
& \\
Hierarchical clustering
&
&
&
& \\
Dynamic Bayesian Belief Network
&
&
&
& \\
BIRCH
&
&
&
& \\
DBSCAN
&
&
&
& \\
OPTIC
&
&
&
& \\
K-means
&
&
&
& \\
Non Negative Matrix Factorisation (NMF)
&
&
&
& \\
A*
&
&
&
& \\
Multi-Layer Perceptron (MLP)
&
&
&
& \\
Deep Reinforcement Learning
&
&
&
& \\
Recurrent neural network \& LSTM
&
&
&
& \\
Reinforcement Learning
&
&
&
& \\
k-nearest neighbours (kNN)
&
&
&
& \\
Principal Component Analysis (PCA)
&
&
&
& \\
OPTICS clustering
&
&
&
& \\
Not referenced
&
&
&
& \\
\end{supertabular}
%\end{center}
\end{strip}
\blindtext[4]
\end{document}