Version 1.0.2 (1.76 MB) by Yue Huang
Save your time when making scientific figures with MATLAB
Updated 11 Jun 2024


View EasyPlot on File Exchange Open in MATLAB Online
Save your time when making scientific figures with MATLAB


  • Similiar to the MATLAB grammar and support for all raw MATLAB functions
  • Support for auto-completion and you do not need to remember the names of the functions and arguments
  • Better default settings (e.g. NextPlot, Units, etc.)
  • Easier to layout multiple axes in a single figure
  • Lots of useful functions frequently used in scientific figures


  • Download the repository and add the EasyPlot folder to your MATLAB path
  • Use the codes simply by enter EasyPlot. and choose the function you want (using auto-completion)

A simple example

Open in MATLAB Online

  • A figure with 2 heatmaps
% create two 10x10 matrices
rng(1); % set the random seed
x1 = rand(10)-0.3; 
x2 = rand(10)-0.7;

% create a figure with two axes
fig = EasyPlot.figure(); % create a figure in EasyPlot style
ax1 = EasyPlot.axes(fig,... % create an axes in EasyPlot style
    'Height', 3,... % in centimeters
    'Width', 3,...
    'MarginBottom', 0.8);
% create the second axes on the right of the first axes
ax2 = EasyPlot.createAxesAgainstAxes(fig, ax1, 'right',...
    'YAxisVisible', 'off');

% plot the matrices the same way as in MATLAB
imagesc(ax1, x1);
imagesc(ax2, x2);

% set multiple xlabel and ylabel together
EasyPlot.setXLabelRow({ax1, ax2}, 'X');
EasyPlot.setYLabelRow({ax1, ax2}, 'Y');

% set the limits of the multiple axes together
EasyPlot.setXLim({ax1, ax2}, [0.5,10.5]);
EasyPlot.setYLim({ax1, ax2}, [0.5,10.5]);
% set the color limits that covers both axes
EasyPlot.setCLim({ax1, ax2}, 'largest');

% set the colormap and colorbar
% use the same colormap for both axes and set the white color for zero
EasyPlot.colormap({ax1, ax2}, EasyPlot.ColorMap.Diverging.seismic, 'zeroCenter', 'on');
    'label', 'Color bar',...
    'MarginRight', 1);

% mark the axes
EasyPlot.markAxes(fig, {ax1, ax2}, {'A','B'},...
    'xShift', 0.5,...
    'MarginTop', 0);

% export the figure
EasyPlot.exportFigure(fig, 'test.png');



  • See here to learn about how to use EasyPlot

Cite As

Yue Huang (2024). EasyPlot (https://github.com/jiumao2/EasyPlot), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2022b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Inspired by: boundedline.m

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes

Update some functions and add new features


Update logo


To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.