我想为表格的最后一行着色，我可以使用 \rowColor 来实现，但是当对最后一行执行此操作时，表格的所有边框都丢失了。我的最后一行看起来像这样，我不想要，因为我想保留边框
\documentclass[10pt,conference]{IEEEtran}
\IEEEoverridecommandlockouts
\usepackage{cite}
\usepackage{amsmath,amssymb,amsfonts}
\usepackage{algorithmic}
\usepackage{algorithm}
\usepackage{graphicx}
\usepackage{changepage}
\usepackage{lipsum}
\usepackage{ctable}% http://ctan.org/pkg/ctable
\usepackage{color, colortbl}
\begin{document}
\begin{table*}[htb]
\caption{Precision/Recall and Completeness of the requirement-to-method
Traces Output by our approach}
\label{Results}
\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|}
\hline
\multirow{2}{*}{\textbf{\begin{tabular}[c]{@{}c@{}}1-\\
Program\end{tabular}}} & \multirow{2}{*}{\textbf{\begin{tabular}[c]
{@{}c@{}}2-\\ Step\end{tabular}}} & \multicolumn{3}{c|}{\textbf{\begin{tabular}[c]{@{}c@{}}Cumulative\\ Predictions\end{tabular}}} & \multicolumn{3}{c|}{\textbf{\begin{tabular}[c]{@{}c@{}}Cumulative \\ Output\\ Completeness\end{tabular}}} & \multicolumn{5}{c|}{\textbf{\begin{tabular}[c]{@{}c@{}}Cumulative Precision and \\ Recall\end{tabular}}} & \multicolumn{2}{c|}{\textbf{\begin{tabular}[c]{@{}c@{}}Cumulative \\ Output \\ Precision\end{tabular}}} & \multicolumn{2}{c|}{\textbf{\begin{tabular}[c]{@{}c@{}}Cumulative\\ Output \\ Recall\end{tabular}}} \\ \cline{3-17}
& & \textbf{\begin{tabular}[c]{@{}c@{}}3-\\ T\textsubscript{p}(\#)\end{tabular}} & \textbf{\begin{tabular}[c]{@{}c@{}}4-\\ N\textsubscript{p}(\#)\end{tabular}} & \textbf{\begin{tabular}[c]{@{}c@{}}5-\\ E\textsubscript{p}(\#)\end{tabular}} & \textbf{\begin{tabular}[c]{@{}c@{}}6-\\ T(\%)\end{tabular}} & \textbf{\begin{tabular}[c]{@{}c@{}}7-\\ N(\%)\end{tabular}} & \textbf{\begin{tabular}[c]{@{}c@{}}8-\\ E(\%)\end{tabular}} & \textbf{\begin{tabular}[c]{@{}c@{}}9-\\ TP\end{tabular}} & \textbf{\begin{tabular}[c]{@{}c@{}}10-\\ TN\end{tabular}} & \textbf{\begin{tabular}[c]{@{}c@{}}11-\\ FP\end{tabular}} & \textbf{\begin{tabular}[c]{@{}c@{}}12-\\ FN\end{tabular}} & \textbf{\begin{tabular}[c]{@{}c@{}}13-\\ E\end{tabular}} & \textbf{\begin{tabular}[c]{@{}c@{}}14-\\ T(\%)\end{tabular}} & \textbf{\begin{tabular}[c]{@{}c@{}}15-\\ N(\%)\end{tabular}} & \textbf{\begin{tabular}[c]{@{}c@{}}16-\\ T(\%)\end{tabular}} & \textbf{\begin{tabular}[c]{@{}c@{}}17-\\ N(\%)\end{tabular}} \\ \hline
\multirow{4}{*}{\textbf{Chess}} & \textbf{1} & 0 & 2063 & 3953 & 0 & 34.29 & 65.71 & 0 & 1612 & 0 & 0 & 4404 & NA & 1 & NA & 1 \\ \cline{2-17}
& \textbf{2} & 0 & 3227 & 2789 & 0 & 53.64 & 46.36 & 0 & 1841 & 0 & 49 & 4126 & NA & 97.41 & 0 & 1 \\ \cline{2-17}
& \textbf{3} & 908 & 3227 & 1881 & 15.09 & 53.64 & 31.27 & 415 & 1841 & 378 & 49 & 3333 & 52.33 & 97.41 & 89.44 & 82.97 \\ \cline{2-17}
& \textbf{4} & \textbf{1464} & \textbf{3227} & \textbf{1325} & \textbf{24.34} & \textbf{53.64} & \textbf{22.02} & \textbf{471} & \textbf{1841} & \textbf{438} & \textbf{49} & \textbf{3217} & \textbf{51.82} & \textbf{97.41} & \textbf{90.58} & \textbf{80.78} \\ \hline
\multirow{4}{*}{\textbf{Gantt}} & \textbf{1} & 0 & 55535 & 34699 & 0 & 61.55 & 38.45 & 0 & 22365 & 0 & 0 & 33341 & NA & 1 & NA & 1 \\ \cline{2-17}
& \textbf{2} & 0 & 69880 & 20354 & 0 & 77.44 & 22.56 & 0 & 22707 & 0 & 94 & 32905 & NA & 99.59 & 0 & 1 \\ \cline{2-17}
& \textbf{3} & 677 & 69880 & 19677 & 75.02 & 77.44 & 21.81 & 84 & 22707 & 85 & 94 & 32736 & 49.70 & 99.59 & 47.19 & 99.63 \\ \cline{2-17}
& \textbf{4} & \textbf{1143} & \textbf{69880} & \textbf{19211} & \textbf{12.67} & \textbf{77.44} & \textbf{21.29} & \textbf{136} & \textbf{22707} & \textbf{136} & \textbf{94} & \textbf{32633} & \textbf{50.00} & \textbf{99.59} & \textbf{59.13} & \textbf{99.40} \\ \hline
\multirow{4}{*}{\textbf{iTrust}} & \textbf{1} & 0 & 17573 & 149265 & 0 & 10.53 & 89.47 & 0 & 6572 & 0 & 0 & 160266 & NA & 1 & \#DIV/0! & 1 \\ \cline{2-17}
& \textbf{2} & 0 & 28660 & 138178 & 0 & 17.18 & 82.82 & 0 & 6685 & 0 & 9 & 160144 & NA & 99.87 & 0 & 1 \\ \cline{2-17}
& \textbf{3} & 290 & 28660 & 137888 & 0.17 & 17.18 & 82.65 & 81 & 6685 & 27 & 9 & 160036 & 75 & 99.87 & 90 & 99.60 \\ \cline{2-17}
& \textbf{4} & \textbf{1074} & \textbf{28660} & \textbf{137104} & \textbf{0.64} & \textbf{17.18} & \textbf{82.18} & \textbf{93} & \textbf{6685} & \textbf{28} & \textbf{9} & \textbf{160023} & \textbf{76.86} & \textbf{99.87} & \textbf{91.18} & \textbf{99.58} \\ \hline
\multirow{4}{*}{\textbf{JHotDraw}} & \textbf{1} & 0 & 116787 & 20133 & 0 & 85.30 & 14.70 & 0 & 12178 & 0 & 0 & 17744 & NA & 1 & NA & 1 \\ \cline{2-17}
& \textbf{2} & 0 & 128756 & 8164 & 0 & 94.04 & 5.96 & 0 & 12247 & 0 & 37 & 17638 & NA & 98.31 & 0 & 1 \\ \cline{2-17}
& \textbf{3} & 1279 & 128756 & 6885 & 0.93 & 94.04 & 5.03 & 5 & 12247 & 7 & 37 & 17626 & 75.90 & 98.31 & 23.25 & 99.84 \\ \cline{2-17}
& \textbf{4} & \textbf{2000} & \textbf{128756} & \textbf{6164} & \textbf{1.46} & \textbf{94.04} & \textbf{4.50} & \textbf{9} & \textbf{12247} & \textbf{15} & \textbf{37} & \textbf{17614} & \textbf{74.80} & \textbf{98.31} & \textbf{31.35} & \textbf{99.74} \\ \hline
\textbf{Average} & \textbf{4} & \textbf{1420} & \textbf{57631} & \textbf{40951} & \textbf{9.78} & \textbf{60.58} & \textbf{32.50} & \textbf{177} & \textbf{10870} & \textbf{154} & \textbf{47} & \textbf{53372} & \textbf{63.37} & \textbf{98.80} & \textbf{68.06} & \textbf{94.88} \\ \hline
\end{tabular}
\end{table*}
\end{document}
答案1
- 在你的 mwe 中你没有任何颜色的行
- 在最后一行之前添加后
\rowcolor{gray!10，我获得了预期的结果：所有线条均可见（在苏门答腊以及在 Adobe Reader 中，如果我放大查看器缩放）
离题：我建议你以下几点
- 对于第 2 至第 17 列中的数字，请使用包
S中的列siunitx - 对于列标题，请使用包
\thead中的宏makecell - 对于粗体数字，请使用列类型
detect-weight选项S并定义新的强大命令，我将使用该命令用粗体数字指定单元格 删除大部分的
\clines：\documentclass[conference]{IEEEtran} \IEEEoverridecommandlockouts \usepackage[table]{xcolor} % changed \usepackage{array,makecell, multirow} % new \renewcommand\theadfont{\small\bfseries} \renewcommand\theadgape{} \usepackage{siunitx} \usepackage{etoolbox} \begin{document} \begin{table*}[htb] \robustify\bfseries % <--- new \newrobustcmd{\B}{\bfseries} % <--- new \caption{Precision/Recall and Completeness of the requirement-to-method Traces Output by our approach} \label{Results} \setlength\tabcolsep{4.5pt} \sisetup{detect-weight, mode=text, group-four-digits} \centering \begin{tabular}{% |>{\bfseries}c|>{\bfseries}c| S[table-format=4.0]| S[table-format=6.0]| S[table-format=6.0]| % *{3}{S[table-format=2.2]|} % S[table-format=3.0]| S[table-format=5.0]| S[table-format=3.0]| S[table-format=2.0]| S[table-format=6.0]| %% *{4}{S[table-format=2.2]|} } \hline \multirow{4}{*}{\thead{1-\\Program}} & \multirow{4}{*}{\thead{2-\\ Step}} & \multicolumn{3}{c|}{\thead{Cumulative\\ Predictions}} & \multicolumn{3}{c|}{\thead{Cumulative Output\\ Completeness}} & \multicolumn{5}{c|}{\thead{Cumulative Precision and \\ Recall}} & \multicolumn{2}{c|}{\thead{Cumulative \\ Output \\ Precision}} & \multicolumn{2}{c|}{\thead{Cumulative\\ Output \\ Recall}} \\ \cline{3-17} & & {\thead{3-\\ T\textsubscript{p}(\#)}} & {\thead{4-\\ N\textsubscript{p}(\#)}} & {\thead{5-\\ E\textsubscript{p}(\#)}} & {\thead{6-\\ T(\%)}} & {\thead{7-\\ N(\%)}} & {\thead{8-\\ E(\%)}} & {\thead{9-\\ TP}} & {\thead{10-\\ TN}} & {\thead{11-\\ FP}} & {\thead{12-\\ FN}} & {\thead{13-\\ E}} & {\thead{14-\\ T(\%)}} & {\thead{15-\\ N(\%)}} & {\thead{16-\\ T(\%)}} & {\thead{17-\\ N(\%)}}\\ \hline \multirow{4}{*}{Chess} & 1 & 0 & 2063 & 3953 & 0 & 34.29 & 65.71 & 0 & 1612 & 0 & 0 & 4404 & {NA} & 1 & {NA} & 1 \\ & 2 & 0 & 3227 & 2789 & 0 & 53.64 & 46.36 & 0 & 1841 & 0 & 49 & 4126 & {NA} & 97.41 & 0 & 1 \\ & 3 & 908 & 3227 & 1881 & 15.09 & 53.64 & 31.27 & 415 & 1841 & 378 & 49 & 3333 & 52.33 & 97.41 & 89.44 & 82.97 \\ & 4 &\B 1464 &\B3227 &\B 1325 &\B 24.34 &\B 53.64 &\B 22.02 &\B 471 &\B 1841 &\B 438 &\B 49 &\B 3217 &\B 51.82 &\B 97.41 &\B 90.58 &\B 80.78 \\ \hline \multirow{4}{*}{Gantt} & 1 & 0 & 55535 & 34699 & 0 & 61.55 & 38.45 & 0 & 22365 & 0 & 0 & 33341 & {NA} & 1 & {NA} & 1 \\ & 2 & 0 & 69880 & 20354 & 0 & 77.44 & 22.56 & 0 & 22707 & 0 & 94 & 32905 & NA & 99.59 & 0 & 1 \\ & 3 & 677 & 69880 & 19677 & 75.02 & 77.44 & 21.81 & 84 & 22707 & 85 & 94 & 32736 & 49.70 & 99.59 & 47.19 & 99.63 \\ & 4 &\B 1143 &\B 69880 &\B 19211 &\B 12.67 &\B 77.44 &\B 21.29 &\B 136 &\B 22707 &\B 136 &\B 94 &\B 32633 &\B 50.00 &\B 99.59 &\B 59.13 &\B 99.40 \\ \hline \multirow{4}{*}{iTrust} & 1 & 0 & 17573 & 149265 & 0 & 10.53 & 89.47 & 0 & 6572 & 0 & 0 & 160266 & {NA} & 1 & {\#DIV/0!} & 1 \\ & 2 & 0 & 28660 & 138178 & 0 & 17.18 & 82.82 & 0 & 6685 & 0 & 9 & 160144 & NA & 99.87 & 0 & 1 \\ & 3 & 290 & 28660 & 137888 & 0.17 & 17.18 & 82.65 & 81 & 6685 & 27 & 9 & 160036 & 75 & 99.87 & 90 & 99.60 \\ & 4 &\B 1074 &\B 28660 &\B 137104 &\B 0.64 &\B 17.18 &\B 82.18 &\B 93 &\B 6685 &\B 28 &\B 9 &\B 160023 &\B 76.86 &\B 99.87 &\B 91.18 &\B 99.58 \\ \hline \multirow{4}{*}{JHotDraw} & 1 & 0 & 116787 & 20133 & 0 & 85.30 & 14.70 & 0 & 12178 & 0 & 0 & 17744 & {NA} & 1 & {NA} & 1 \\ & 2 & 0 & 128756 & 8164 & 0 & 94.04 & 5.96 & 0 & 12247 & 0 & 37 & 17638 & {NA} & 98.31 & 0 & 1 \\ & 3 & 1279 & 128756 & 6885 & 0.93 & 94.04 & 5.03 & 5 & 12247 & 7 & 37 & 17626 & 75.90 & 98.31 & 23.25 & 99.84 \\ & 4 &\B 2000 &\B 128756 &\B 6164 &\B 1.46 &\B 94.04 &\B 4.50 &\B 9 &\B 12247 &\B 15 &\B 37 &\B 17614 &\B 74.80 &\B 98.31 &\B 31.35 &\B 99.74 \\ \hline \rowcolor{gray!10} Average &4 &\B 1420 &\B 57631 &\B 40951 &\B 9.78 &\B 60.58 &\B 32.50 &\B 177 &\B 10870 &\B 154 &\B 47 &\B 53372 &\B 63.37 &\B 98.80 &\B 68.06 &\B 94.88 \\ \hline \end{tabular} \end{table*} \end{document}
对我来说，表格的更好外观是没有垂直线，具有
booktabs包中定义的horsintal规则并且没有彩色的最后一行：\documentclass[conference]{IEEEtran} \IEEEoverridecommandlockouts \usepackage{xcolor} % changed \usepackage{array, booktabs, makecell, multirow}% new \renewcommand\theadfont{\small\bfseries} \renewcommand\theadgape{} \usepackage{siunitx} \usepackage{etoolbox} \begin{document} \begin{table*}[htb] \robustify\bfseries % <--- new \newrobustcmd{\B}{\bfseries} % <--- new \caption{Precision/Recall and Completeness of the requirement-to-method Traces Output by our approach} \label{Results} \setlength\tabcolsep{4.5pt} \sisetup{detect-weight, mode=text} \centering \begin{tabular}{% >{\bfseries}c >{\bfseries}c S[table-format=4.0] S[table-format=6.0] S[table-format=6.0] % *{3}{S[table-format=2.2]} % S[table-format=3.0] S[table-format=5.0] S[table-format=3.0] S[table-format=2.0] S[table-format=6.0] %% *{4}{S[table-format=2.2]} } \toprule \multirow{4}{*}{\thead[b]{1-\\Program}} & \multirow{4}{*}{\thead[b]{2-\\ Step}} & \multicolumn{3}{c}{\thead[b]{Cumulative\\ Predictions}} & \multicolumn{3}{c}{\thead[b]{Cumulative Output\\ Completeness}} & \multicolumn{5}{c}{\thead[b]{Cumulative Precision and \\ Recall}} & \multicolumn{2}{c}{\thead[b]{Cumulative \\ Output \\ Precision}} & \multicolumn{2}{c}{\thead[b]{Cumulative\\ Output \\ Recall}} \\ \cmidrule(lr){3-5} \cmidrule(lr){6-8} \cmidrule(lr){9-13} \cmidrule(lr){14-13} \cmidrule(lr){14-15} \cmidrule(lr){16-17} & & {\thead[b]{3-\\ T\textsubscript{p}(\#)}} & {\thead[b]{4-\\ N\textsubscript{p}(\#)}} & {\thead[b]{5-\\ E\textsubscript{p}(\#)}} & {\thead[b]{6-\\ T(\%)}} & {\thead[b]{7-\\ N(\%)}} & {\thead[b]{8-\\ E(\%)}} & {\thead[b]{9-\\ TP}} & {\thead[b]{10-\\ TN}} & {\thead[b]{11-\\ FP}} & {\thead[b]{12-\\ FN}} & {\thead[b]{13-\\ E}} & {\thead[b]{14-\\ T(\%)}} & {\thead[b]{15-\\ N(\%)}} & {\thead[b]{16-\\ T(\%)}} & {\thead[b]{17-\\ N(\%)}}\\ \midrule \multirow{4}{*}{Chess} & 1 & 0 & 2063 & 3953 & 0 & 34.29 & 65.71 & 0 & 1612 & 0 & 0 & 4404 & {NA} & 1 & {NA} & 1 \\ & 2 & 0 & 3227 & 2789 & 0 & 53.64 & 46.36 & 0 & 1841 & 0 & 49 & 4126 & {NA} & 97.41 & 0 & 1 \\ & 3 & 908 & 3227 & 1881 & 15.09 & 53.64 & 31.27 & 415 & 1841 & 378 & 49 & 3333 & 52.33 & 97.41 & 89.44 & 82.97 \\ & 4 &\B 1464 &\B3227 &\B 1325 &\B 24.34 &\B 53.64 &\B 22.02 &\B 471 &\B 1841 &\B 438 &\B 49 &\B 3217 &\B 51.82 &\B 97.41 &\B 90.58 &\B 80.78 \\ \midrule \multirow{4}{*}{Gantt} & 1 & 0 & 55535 & 34699 & 0 & 61.55 & 38.45 & 0 & 22365 & 0 & 0 & 33341 & {NA} & 1 & {NA} & 1 \\ & 2 & 0 & 69880 & 20354 & 0 & 77.44 & 22.56 & 0 & 22707 & 0 & 94 & 32905 & NA & 99.59 & 0 & 1 \\ & 3 & 677 & 69880 & 19677 & 75.02 & 77.44 & 21.81 & 84 & 22707 & 85 & 94 & 32736 & 49.70 & 99.59 & 47.19 & 99.63 \\ & 4 &\B 1143 &\B 69880 &\B 19211 &\B 12.67 &\B 77.44 &\B 21.29 &\B 136 &\B 22707 &\B 136 &\B 94 &\B 32633 &\B 50.00 &\B 99.59 &\B 59.13 &\B 99.40 \\ \midrule \multirow{4}{*}{iTrust} & 1 & 0 & 17573 & 149265 & 0 & 10.53 & 89.47 & 0 & 6572 & 0 & 0 & 160266 & {NA} & 1 & {\#DIV/0!} & 1 \\ & 2 & 0 & 28660 & 138178 & 0 & 17.18 & 82.82 & 0 & 6685 & 0 & 9 & 160144 & NA & 99.87 & 0 & 1 \\ & 3 & 290 & 28660 & 137888 & 0.17 & 17.18 & 82.65 & 81 & 6685 & 27 & 9 & 160036 & 75 & 99.87 & 90 & 99.60 \\ & 4 &\B 1074 &\B 28660 &\B 137104 &\B 0.64 &\B 17.18 &\B 82.18 &\B 93 &\B 6685 &\B 28 &\B 9 &\B 160023 &\B 76.86 &\B 99.87 &\B 91.18 &\B 99.58 \\ \midrule \multirow{4}{*}{JHotDraw} & 1 & 0 & 116787 & 20133 & 0 & 85.30 & 14.70 & 0 & 12178 & 0 & 0 & 17744 & {NA} & 1 & {NA} & 1 \\ & 2 & 0 & 128756 & 8164 & 0 & 94.04 & 5.96 & 0 & 12247 & 0 & 37 & 17638 & {NA} & 98.31 & 0 & 1 \\ & 3 & 1279 & 128756 & 6885 & 0.93 & 94.04 & 5.03 & 5 & 12247 & 7 & 37 & 17626 & 75.90 & 98.31 & 23.25 & 99.84 \\ & 4 &\B 2000 &\B 128756 &\B 6164 &\B 1.46 &\B 94.04 &\B 4.50 &\B 9 &\B 12247 &\B 15 &\B 37 &\B 17614 &\B 74.80 &\B 98.31 &\B 31.35 &\B 99.74 \\ \midrule Average &4 &\B 1420 &\B 57631 &\B 40951 &\B 9.78 &\B 60.58 &\B 32.50 &\B 177 &\B 10870 &\B 154 &\B 47 &\B 53372 &\B 63.37 &\B 98.80 &\B 68.06 &\B 94.88 \\ \bottomrule \end{tabular} \end{table*} \end{document}
