Issue combining makecell and cellcolor
TeX - LaTeX Asked by Netim on October 15, 2020
I have seen similar question to this one already but none of the answers I have found seem to solve my problem. I’m trying to color the cells of the first column of my table, but I cannot find a correct way to do this. I tried using cellcolor and >{columncolor{LightGrey}} but both of them led to the same results.
documentclass[12pt, a4paper,article]{memoir}
usepackage[utf8]{inputenc}
usepackage[T1]{fontenc}
usepackage[french,english]{babel}
usepackage[top=2cm, bottom=2cm, left=2cm, right=2cm]{geometry}
usepackage{caption}
usepackage[dvipsnames, table, svgnames]{xcolor}
usepackage{diagbox}
usepackage{makecell}
usepackage{stackengine}
usepackage{adjustbox}
newcommandxrowht[2][0]{addstackgap[.5dimexpr#2relax]{vphantom{#1}}}
begin{document}
begin{table}[ht]
centering
begin{tabular}{|c|*{5}{c|}}hline
rowcolor{LightGrey}
backslashbox[50mm]{Algorithms}{Metrics}
&makebox[4em]{Accuracy} &makebox[4em]{Precision} & makebox[4em]{Recall} & makebox[4em]{F1 score} &makebox[4em]{F2 score}
hline
cellcolor{LightGrey}makecell{Neural Network with Embedding} & 0.62 & 0.23 & 0.82 & 0.36 & 0.54
hline
makecell{Neural Network without Embedding} & 0.64 & 0.22 & 0.69 & 0.34 & 0.49
hline
makecell{Support Vector Machine (SVM)} & 0.64 & 0.21 & 0.65 &0.32 & 0.46
hlinexrowht{20pt}
makebox[4em]{Logistic Regression} & 0.60 & 0.17 & 0.55 & 0.26 & 0.38
hlinexrowht{20pt}
makebox[4em]{Decision tree} & 0.72 & 0.25 & 0.56 & 0.34 & 0.46
hlinexrowht{20pt}
makebox[4em]{Random Forest} & 0.77 & 0.27 & 0.43 & 0.33 & 0.38
hlinexrowht{20pt}
makebox[4em]{XGBoost} & 0.71 & 0.27 & 0.75 & 0.4 & 0.56
hlinexrowht{20pt}
makebox[4em]{CatBoost} & 0.70 & 0.27 & 0.75 & 0.39 & 0.55
hline
end{tabular}
caption{Results using Weight Attention Data Set.}
label{tab:tableweightattention}
end{table}
trying with >{columncolor{LightGrey}}
documentclass[12pt, a4paper,article]{memoir}
usepackage[utf8]{inputenc}
usepackage[T1]{fontenc}
usepackage[french,english]{babel}
usepackage[top=2cm, bottom=2cm, left=2cm, right=2cm]{geometry}
usepackage{caption}
usepackage[dvipsnames, table, svgnames]{xcolor}
usepackage{diagbox}
usepackage{makecell}
usepackage{stackengine}
usepackage{adjustbox}
usepackage{amsmath}
newcommandxrowht[2][0]{addstackgap[.5dimexpr#2relax]{vphantom{#1}}}
begin{document}
begin{table}[ht]
centering
begin{tabular}{|>{columncolor{LightGrey}}c|*{5}{c|}}hline
rowcolor{LightGrey}
backslashbox[50mm]{Algorithms}{Metrics}
&makebox[4em]{Accuracy} &makebox[4em]{Precision} & makebox[4em]{Recall} & makebox[4em]{F1 score} &makebox[4em]{F2 score}
hline
makecell{Neural Network with Embedding} & 0.62 & 0.23 & 0.82 & 0.36 & 0.54
hline
makecell{Neural Network without Embedding} & 0.64 & 0.22 & 0.69 & 0.34 & 0.49
hline
makecell{Support Vector Machine (SVM)} & 0.64 & 0.21 & 0.65 &0.32 & 0.46
hlinexrowht{20pt}
makebox[4em]{Logistic Regression} & 0.60 & 0.17 & 0.55 & 0.26 & 0.38
hlinexrowht{20pt}
makebox[4em]{Decision tree} & 0.72 & 0.25 & 0.56 & 0.34 & 0.46
hlinexrowht{20pt}
makebox[4em]{Random Forest} & 0.77 & 0.27 & 0.43 & 0.33 & 0.38
hlinexrowht{20pt}
makebox[4em]{XGBoost} & 0.71 & 0.27 & 0.75 & 0.4 & 0.56
hlinexrowht{20pt}
makebox[4em]{CatBoost} & 0.70 & 0.27 & 0.75 & 0.39 & 0.55
hline
end{tabular}
caption{Results using Weight Attention Data Set.}
% label{tab:tableweightattention}
end{table}
end{document}
If anyone has an idea about what I’m doing wrong or has solution to this problem, you would be my hero.
Following @leandriis comment I tried using the nicematrix, but does not seems to take care of the makebox. I would like to increase the size of the header box, i did not find anything on the documentation. Here is the code and the new table obtained:
documentclass[12pt, a4paper,article]{memoir}
usepackage[utf8]{inputenc}
usepackage[T1]{fontenc}
usepackage[french,english]{babel}
usepackage[top=2cm, bottom=2cm, left=2cm, right=2cm]{geometry}
usepackage{caption}
usepackage[dvipsnames, table, svgnames]{xcolor}
usepackage{diagbox}
usepackage{makecell}
usepackage{stackengine}
usepackage{adjustbox}
usepackage{amsmath}
usepackage{nicematrix}
newcommandxrowht[2][0]{addstackgap[.5dimexpr#2relax]{vphantom{#1}}}
begin{document}
begin{NiceTabular}{|>{columncolor{LightGrey}}c|*{5}{c|}}hline
rowcolor{LightGrey}
makebox[4em]{diagbox{Algorithms}{Metrics}} &makebox[4em]{Accuracy} &makebox[4em]{Precision} & makebox[4em]{Recall} & makebox[4em]{F1 score} &makebox[4em]{F2 score}
hline
makecell{Neural Network with Embedding} & 0.62 & 0.23 & 0.82 & 0.36 & 0.54
hline
makecell{Neural Network without Embedding} & 0.64 & 0.22 & 0.69 & 0.34 & 0.49
hline
makecell{Support Vector Machine (SVM)} & 0.64 & 0.21 & 0.65 &0.32 & 0.46
hlinexrowht{20pt}
makebox[4em]{Logistic Regression} & 0.60 & 0.17 & 0.55 & 0.26 & 0.38
hlinexrowht{20pt}
makebox[4em]{Decision tree} & 0.72 & 0.25 & 0.56 & 0.34 & 0.46
hlinexrowht{20pt}
makebox[4em]{Random Forest} & 0.77 & 0.27 & 0.43 & 0.33 & 0.38
hlinexrowht{20pt}
makebox[4em]{XGBoost} & 0.71 & 0.27 & 0.75 & 0.4 & 0.56
hlinexrowht{20pt}
makebox[4em]{CatBoost} & 0.70 & 0.27 & 0.75 & 0.39 & 0.55
hline
end{NiceTabular}
end{document}
I finally managed to obtain the desired results, thanks everyone!
documentclass[12pt, a4paper,article]{memoir}
usepackage[utf8]{inputenc}
usepackage[T1]{fontenc}
usepackage[french,english]{babel}
usepackage[top=2cm, bottom=2cm, left=2cm, right=2cm]{geometry}
usepackage{caption}
usepackage[dvipsnames, table, svgnames]{xcolor}
usepackage{diagbox}
usepackage{makecell}
usepackage{stackengine}
usepackage{adjustbox}
usepackage{amsmath}
usepackage{nicematrix}
newcommandxrowht[2][0]{addstackgap[.5dimexpr#2relax]{vphantom{#1}}}
begin{document}
begin{table}[ht]
centering
begin{NiceTabular}{c*{5}{wc{4em}}}[ code-before = columncolor{LightGrey}{1} rowcolor{LightGrey}{1} , hvlines ]
xrowht{20pt}
diagbox{Algorithms}{Metrics} & Accuracy &Precision & Recall & F1 score &F2 score
makecell{Neural Network with Embedding} & 0.62 & 0.23 & 0.82 & 0.36 & 0.54
makecell{Neural Network without Embedding} & 0.64 & 0.22 & 0.69 & 0.34 & 0.49
makecell{Support Vector Machine (SVM)} & 0.64 & 0.21 & 0.65 &0.32 & 0.46
xrowht{20pt}
Logistic Regression & 0.60 & 0.17 & 0.55 & 0.26 & 0.38
xrowht{20pt}
Decision tree & 0.72 & 0.25 & 0.56 & 0.34 & 0.46
xrowht{20pt}
Random Forest & 0.77 & 0.27 & 0.43 & 0.33 & 0.38
xrowht{20pt}
XGBoost & 0.71 & 0.27 & 0.75 & 0.4 & 0.56
xrowht{20pt}
CatBoost & 0.70 & 0.27 & 0.75 & 0.39 & 0.55
end{NiceTabular}
caption{Results using Weight Attention Data Set.}
label{tab:tableweightattention}
end{table}
end{document}
2 Answers
The problem with makecell and colouring tables has been known for quite some time. A simple possibility, consists in replacing makecell in coloured columns/rows with Centerstack from stackengine. I took the opportunity to simplify a bit your code (the default input encoding is now utf8, for instance, so needless to load inputenc) and added some improvelments, Stype columns for the alignment on the decimal dot, and loading of v=cellspace to add some vertical padding to multiline cells in the first column.
documentclass[12pt, a4paper,article]{memoir}
usepackage[T1]{fontenc}
usepackage[french,english]{babel}
usepackage[margin=2cm]{geometry}
usepackage{caption}
usepackage{siunitx}
usepackage[dvipsnames, table, svgnames]{xcolor}
usepackage{diagbox}
usepackage{makecell}
usepackage[usestackEOL]{stackengine}
usepackage[column=O]{cellspace}
setlength{cellspacetoplimit}{2pt}
setlength{cellspacebottomlimit}{2pt}
usepackage{adjustbox}
newcommandxrowht[2][0]{addstackgap[.5dimexpr#2relax]{vphantom{#1}}}
begin{document}
begin{table}[ht]
centering
sisetup{table-format=1.2, table-column-width = 4em, table-number-alignment=center}
begin{tabular}{| >{columncolor{LightGrey}}Oc|*{5}{S|}}hline
rowcolor{LightGrey}
multicolumn{1}{|c|}{ backslashbox[50mm]{Algorithms}{Metrics}}
&{Accuracy} &{Precision} & {Recall} &{F1 score} &{F2 score}
hline
cellcolor{LightGrey}Centerstack{Neural Network with Embedding} & 0.62 & 0.23 & 0.82 & 0.36 & 0.54
hline
Centerstack{Neural Network without Embedding} & 0.64 & 0.22 & 0.69 & 0.34 & 0.49
hline
Centerstack{Support Vector Machine (SVM)} & 0.64 & 0.21 & 0.65 &0.32 & 0.46
hlinexrowht{20pt}
Logistic Regression & 0.60 & 0.17 & 0.55 & 0.26 & 0.38
hlinexrowht{20pt}
Decision tree & 0.72 & 0.25 & 0.56 & 0.34 & 0.46
hlinexrowht{20pt}
Random Forest & 0.77 & 0.27 & 0.43 & 0.33 & 0.38
hlinexrowht{20pt}
XGBoost & 0.71 & 0.27 & 0.75 & 0.4 & 0.56
hlinexrowht{20pt}
CatBoost & 0.70 & 0.27 & 0.75 & 0.39 & 0.55
hline
end{tabular}
caption{Results using Weight Attention Data Set.}
label{tab:tableweightattention}
end{table}
end{document}
Correct answer by Bernard on October 15, 2020
With {NiceTabular} of nicematrix:
documentclass{article}
usepackage[top=2cm, bottom=2cm, left=2cm, right=2cm]{geometry}
usepackage[svgnames]{xcolor}
usepackage{nicematrix}
usepackage{makecell}
begin{document}
NiceMatrixOptions{cell-space-top-limit=1mm,cell-space-bottom-limit=1mm}
begin{table}[ht]
centering
begin{NiceTabular}{c*{5}{wc{4em}}}%
[ code-before = columncolor{LightGrey}{1} rowcolor{LightGrey}{1} , hvlines ]
diagbox{Algorithms}{Metrics}
&Accuracy &Precision &Recall &F1 score &F2 score
makecell{Neural Network with Embedding} & 0.62 & 0.23 & 0.82 & 0.36 & 0.54
makecell{Neural Network without Embedding} & 0.64 & 0.22 & 0.69 & 0.34 & 0.49
makecell{Support Vector Machine (SVM)} & 0.64 & 0.21 & 0.65 &0.32 & 0.46
Logistic Regression & 0.60 & 0.17 & 0.55 & 0.26 & 0.38
Decision tree & 0.72 & 0.25 & 0.56 & 0.34 & 0.46
Random Forest & 0.77 & 0.27 & 0.43 & 0.33 & 0.38
XGBoost & 0.71 & 0.27 & 0.75 & 0.4 & 0.56
CatBoost & 0.70 & 0.27 & 0.75 & 0.39 & 0.55
end{NiceTabular}
caption{Results using Weight Attention Data Set.}
% label{tab:tableweightattention}
end{table}
end{document}
Answered by F. Pantigny on October 15, 2020
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