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paper_quality_plot.matlab

All materials are from Urban Robotics Lab. @KAIST

Original author: Hyungtae Lim ([email protected])

Advisers: Giseop Kim ([email protected]), Byeongho YU ([email protected])


Introduction

This repositoy contains

  • how to use linespecer for beautiful matlab graph

https://kr.mathworks.com/matlabcentral/fileexchange/42673-beautiful-and-distinguishable-line-colors-colormap

  • how to set legend interpreter as latex

  • the method for removing unnecessary white space

  • the method for changing the default tick fonts to the latex version

  • tilelayout (Only applicable on latest version Matlab)

  • thousand seperator

All outputs are located in imgs folder.


Must be added for the Paper-quality Figures

👉 Add set(gca,'LooseInset', max(get(gca,'TightInset'), 0.02)) below the figure declaration line.

👉 Add set(groot, 'defaultAxesTickLabelInterpreter','latex'); below the figure declaration line.

👉 Add ytickformat('%,4.4g'); after plot( ) command (optional).

The template is available on here


When it comesto saving figures in eps...

I realized that some matlab figures (e.g., bar plot, tiles) are not available to save the format in .eps

So, we must use below command as follows:

% gcf: figure object
print(gcf, "SET_YOUR_FINENAME.png",'-dpng','-r200'); 

Description

Note that the effect of the linespecer which is illustrated as:

Before using linespecer

cdf_alpha_before

cdf_beta_before

After using linespecer

cdf_alpha

cdf_beta

linespecer is more beautiful! It allows the figures to be more clean and improves readability.

So, I strongly recommend utilizing linespecer!

Please refer to the line 7 to 9 and 124 to 133 in plot_cdf.m :)

pdf

Note that the built-in pdf function of matlab does not work sometimes. My method is better!

pdf

The trajectory is colored with respect to sequence length.

However, if the trajectory is too long, then it may be not applicable.

caros_tile_output

line1

line2

boxplot1

Only available on R2020a.

barplot

Only available on R2020a.

tilelayout

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  • MATLAB 100.0%