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masumhabib/PlotPub: Publication quality plot in MATLAB.

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

masumhabib/PlotPub

开源软件地址(OpenSource Url):

https://github.com/masumhabib/PlotPub

开源编程语言(OpenSource Language):

MATLAB 100.0%

开源软件介绍(OpenSource Introduction):

⚠️ I am looking for a maintainer for this project. If you are interested, please let me know.

Emai: masum D.O.T habib A.T gmail.com

PlotPub

Publication quality graphs in MATLAB.

MATLAB is an excellent tool. It is equally popular among students, researchers and professors. If you use MATLAB for your project/research, you probably know that it is not easy to create publication quality graphs (PQGs) using MATLAB. You will have to call a billion set and get functions to create a decent plot with desired height, width, fonts, line width, color etc. Here, I present PlotPub which is a collection of MATLAB functions and a MATLAB class that allows you to modify almost all aspects of MATLAB figures and export PQGs using one function call and a simple structure.

What's new in v2.2


What's new in v2.1


  • Fixed constructor for user supplied handle. Thanks to Hythem Sidky.
  • <li>Added a new function, <code>setPlotProp2(hfig, opt)</code> 
    for compatibility with MATLAB line and patch functions.</li>
    

New features of v2.x


  • Simple and elegant object oriented approach: all aspects of the MATLAB figure is encapsulated in the Plot class.
  • Create new plots, open saved figures or change existing figure using the same call, Plot().
  • Control every aspect of a MATLAB figure using the Plot class object.
  • Property changes are immediately visible, useful when using from command window.
  • Even easier to use.
  • Fully compatible to v1.x.

What's new in v1.4


  • Added the title option.

What's new in v1.3


  • Several bugs fixed including marker spacing.
  • New options for axis color, axis line width, tick direction, tick length, minor ticks, legend box, legend text color etc.
  • New, more appealing default look.

Features of v1.x


  • Generate beautiful, publication quality graphs from instantly generated MATLAB figures or saved MATLAB fig files.
  • Export figures in EPS, PDF, JPEG, PNG and TIFF with adjustable resolution.
  • Set marker spacing.
  • Change almost all aspects of a figure using simple and intuitive code.
  • A lot of example codes. A decent tutorial and good documentation.
  • Tested in Ubuntu and OSX with MATLAB 7.10. But it should work in other operating systems with other versions of MATLAB.
  • Distributed under BSD license which allows you to do anything you like.

Compatibility with v1.1


In version 1.2, I introduced a new function setPlotProp which is superior to the old function plotPub. But for backward compatibility, plotPub is still available in v1.2. Therefore, all of your previous codes should work with v1.2.

Downloads


Documentation


Installation

Download and extract the zip file from the link given above. Install PlotPub using any one of the three possible ways: (1) copy all the *.m files inside the lib folder to either your MATLAB path or (2) copy those files to your current project folder or (3) put plotPub-master in any convenient folder and add the following line in your MATLAB code:

addpath('D:/MATLAB/PlotPub-master/lib');

where, I assume that you put PlotPub-master in D:/MATLAB folder. The sample codes can be found inside the examples folder.

Tutorial

* [Tutorial for v1.4](https://github.com/masumhabib/PlotPub/wiki/Tutorial-for-v1.4)

To create a beautiful figure using PlotPub, all you need to know is how to use the (Plot) class. Alternatively, you can use the set-plot-properties (setPlotProp) function which is discussed here. The Plot class provides a simple and elegant object oriented programming interface for manipulating MATLAB figures.

Let us walk you through an example. Assume that we have data for 3 cycle of a 50 Hz AC voltage signal:

clear all;

%% lets plot 3 cycles of 50Hz AC voltage
f = 50;  % frequency
Vm = 10; % peak
phi = 0; % phase

% generate the signal
t = [0:0.0001:3/f];
th = 2*pi*f*t;
v = Vm*sin(th+phi);

% plot it
figure;
plot(t*1E3, v);

where, f is the frequency, Vm is the peak voltage, t is time and v is the AC voltage signal. Result? An utterly ugly looking figure punching at your face: MQGv1.3: ugly

Now, let us add some spices. Let us set the labels and title:

% change settings
plt = Plot(); % create a Plot object and grab the current figure

plt.XLabel = 'Time, t (ms)'; % xlabel
plt.YLabel = 'Voltage, V (V)'; %ylabel
plt.Title = 'Voltage as a function of time'; % plot title

Finally, call the export function to export the figure:

% Save? comment the following line if you do not want to save
plt.export('plotSimple1.png');

The resulting plot should look like:

MQGv2.0: Simple plot

Instead of creating the plot using

% plot it
figure;
plot(t*1E3, v);

one could also use Plot class directly to plot:

plt = Plot(t*1E3, v); % create the figure directly using data

plt.XLabel = 'Time, t (ms)'; % xlabel
plt.YLabel = 'Voltage, V (V)'; %ylabel
plt.Title = 'Voltage as a function of time'; % plot title

The full source code for this plot, plotSimple.m, can be found inside the examples_class folder.

We can change color, linewidth, linestyle etc:

plt.Colors = {[0, 0, 0]};   % [red, green, blue]
plt.LineWidth = 2;        % line width
plt.LineStyle = {'--'};   % line style: '-', ':', '--' etc

MQGv2.0: Line style

See plotLineStyle.m for full source code. We can also change scale, axis limit, tick and grid:

plt.YScale = 'log';     % 'linear' or 'log'
plt.YLim = [1E-3, 1E3]; % [min, max]
plt.YTick = [1E-3, 1E-1, 1E1, 1E3]; %[tick1, tick2, .. ]
plt.YGrid = 'on';       % 'on' or 'off'

MQGv2.0: Simple log scale or create a log-log plot:

plt.YScale = 'log';     % 'linear' or 'log'
plt.XScale = 'log';     % 'linear' or 'log'
plt.YLim = [1E-3, 1E3]; % [min, max]
plt.YTick = [1E-3, 1E-1, 1E1, 1E3]; %[tick1, tick2, .. ]
plt.YGrid = 'on';       % 'on' or 'off'
plt.XGrid = 'on';       % 'on' or 'off'

MQGv2.0: Simple log log

See plotSimpleLog.m and plotSimpleLogLog.m for full source code.

Creating multiple plots in a single set of axes is also easy:

% generate the signal
t = [0:0.0001:3/f];
th = 2*pi*f*t;
v1 = Vm*sin(th);
v2 = Vm*sin(th - phi);
v3 = Vm*sin(th - phi*2);

% plot them
plt = Plot(t*1E3, v1, t*1E3, v2, t*1E3, v3);

% change settings
plt.XLabel = 'Time, t (ms)';   % xlabel
plt.YLabel = 'Voltage, V (V)'; % ylabel
plt.YTick = [-10, 0, 10];      % [tick1, tick2, .. ]
plt.YLim = [-11, 11];          % [min, max]

% Save? comment the following line if you do not want to save
plt.export('plotMultiple.tiff');

Note how Plot class constructor is directly used for plotting multiple functions. Result:

MQGv2.0: Multiple plots

The full source is given in plotMultiple.m. We can change the linestyle, color etc and add a legend:

plt.XLim = [0, 80];            % [min, max]
plt.Colors = {                 % three colors for three data set
    [1,      0,       0]        % data set 1
    [0.25,   0.25,    0.25]     % data set 2
    [0,      0,       1]        % data set 3
    };
plt.LineWidth = [2, 2, 2];       % three line widths
plt.LineStyle = {'-', '-', '-'}; % three line styles
plt.Markers = {'o', '', 's'};
plt.MarkerSpacing = [15, 15, 15];
plt.Legend = {'\theta = 0^o', '\theta = 45^o', '\theta = 90^o'}; % legends

MQGv2.0: Multiple plots markers

Here, plt.Colors{1}, plt.LineWidth(1) and plt.LineStyle{1} set properties of data set 1 and so on. The full source is given in plotMarkers.m.

By default, PlotPub creates figures with 6in x 3in box size. You can easily change the figure size using the following code.

plt.BoxDim = [7, 3]; %[width, height] in inches

This code creates a figure with 7in x 5in box.

MQGv2.0: Size

See plotSize.m for more details.

You can also load a previously saved MATLAB fig file and export it using Plot class:

clear all;

% load previously generated fig file
plt = Plot('single.fig');

% change settings
plt.XLabel = 'Time, t (ms)'; % xlabel
plt.YLabel = 'Voltage, V (V)'; %ylabel
plt.BoxDim = [6, 5]; %[width, height]

% Save? comment the following line if you do not want to save
plt.export('plotSize.png'); 
Reference

* [Reference for v1.4](https://github.com/masumhabib/PlotPub/wiki/Reference-for-v1.4)

Given bellow is a brief description of the Plot class and setPlotProp and plotPub functions and their parameters. This documents can also be viewed by invoking:

>> help Plot
>> help setPlotProp

from inside the MATLAB command window.

Plot class

This class represents a MATLAB figure. It can create new plots, open saved figure files and change properties of opened/existing figures. It can also export figures as publication quality image files. The resolution of the image can be changed by the user. Supported image formats are EPS, PDF, PNG, JPEG and TIFF. The figure properties can be changed by easy-to-remember class properties.

Constructors:

Plot()        
	% Grabs the current figure.
Plot(handle)  
	% Grabs the figure pointed by handle.
Plot('filename.fig') 
	% Opens the figure file ('filename.fig') and use the opened figure.
Plot(handle, holdLine) 
	% Grabs the figure pointed by handle. If holdLine = true, it does not 
	% change the plot properties.
Plot(Y)
	% Plots Y where Y must be a vector.
Plot(X, Y)
	% Plots Y vs X. Both X and Y must be vectors.
Plot(X1, Y1, X2, Y2, ...)
	% Plots Y's vs X's. X's and Y's must be vectors.

The constructors return plot objects which can be used for subsequent property changes.

Properties:

BoxDim          % vector [width, height]: size of the axes box in inches; 
                % default: [6, 2.5]
ShowBox         % 'on' = show or 'off' = hide bounding box
FontName        % string: font name; default: 'Helvetica'
FontSize        % integer; default: 26
LineWidth       % vector [width1, width2, ..]: element i changes the 
                % property of i-th dataset; default: 2
LineStyle       % cell array {'style1', 'style2', ..}: element i changes 
                % the property of i-th dataset; default: '-'
LineCount       % Number of plots (readonly)
Markers         % cell array {'marker1', 'marker2', ..}: element i changes 
                % the property of i-th dataset; default: 'None'
MarkerSpacing   % vector [space1, space2, ..]: element i changes the 
                % property of i-th dataset; default: 0
Colors          % 3xN matrix, [red, green, blue] where N is the number of 
                % datasets.
AxisColor       % axis color, [red, green, blue]; default black.
AxisLineWidth   % axis line width, number; default 2.
XLabel          % X axis label
YLabel          % Y axis label
ZLabel          % Z axis label
XTick           % [tick1, tick2, ..]: major ticks for X axis.
YTick           % [tick1, tick2, ..]: major ticks for Y axis.
ZTick           % [tick1, tick2, ..]: major ticks for Z axis.
XMinorTick      % 'on' or 'off': show X minor tick?
YMinorTick      % 'on' or 'off': show Y minor tick?
ZMinorTick      % 'on' or 'off': show Z minor tick?
TickDir         % tick direction: 'in' or 'out'; default: 'in'
TickLength      % tick length; default: [0.02, 0.02]
XLim            % [min, max]: X axis limit.
YLim            % [min, max]: Y axis limit.
ZLim            % [min, max]: Z axis limit.
XScale          % 'linear' or 'log': X axis scale.
YScale          % 'linear' or 'log': Y axis scale.
ZScale          % 'linear' or 'log': Z axis scale.
XGrid           % 'on' or 'off': show grid in X axis?
YGrid           % 'on' or 'off': show grid in Y axis?
ZGrid           % 'on' or 'off': show grid in Z axis?
XDir            % 'in' or 'out': X axis tick direction
YDir            % 'in' or 'out': Y axis tick direction
ZDir            % 'in' or 'out': Z axis tick direction
Legend          % {'legend1','legend2',...}
LegendBox       % bounding box of legend: 'on'/'off'; default: 'off'
LegendBoxColor  % color of the bounding box of legend; default: 'none'
LegendTextColor % color of the legend text; default: [0,0,0]
LegendLoc       % 'NorthEast', ..., 'SouthWest': legend location
Title           % plot title, string
Resolution      % Resolution (dpi) for bitmapped file. Default:600.
HoldLines       % true/false. true == only modify axes settings, do not 
                % touch plot lines/surfaces. Default false.
function h = setPlotProp(opt, hfig)

This function changes the properties of the figure represented by 'hfig' and exports it as a publication quality image file. The resolution of the image can be chosen by the user. Supported image formats are EPS, PDF, PNG, JPEG and TIFF. The figure properties are specified by the options structure 'opt'.

Parameters:

opt             % options structure:
  BoxDim        % vector [width, height]: size of the axes box in inches; default: [6, 2.5]
  ShowBox       % 'on' = show or 'off' = hide bounding box; default: 'on'
  FontName      % string: font name; default: 'Arial'
  FontSize      % integer; default: 26
  LineWidth     % vector [width1, width2, ..]: element i changes the property of i-th dataset; default: 2
  LineStyle     % cell array {'style1', 'style2', ..}: element i changes the property of i-th dataset; default: '-'
  Markers       % cell array {'marker1', 'marker2', ..}: element i changes the property of i-th dataset; default: 'None'
  MarkerSpacing % vector [space1, space2, ..]: element i changes the property of i-th dataset; default: 0
  Colors        % 3xN matrix, [red, green, blue] where N is the number of datasets.
  AxisColor     % [red, green, blue]; color of the axis lines; default: black
  AxisLineWidth % Witdth of the axis lines; default: 2
  XLabel        % X axis label
  YLabel        % Y axis label
  ZLabel        % Z axis label
  XTick         % [tick1, tick2, ..]: major ticks for X axis.
  YTick         % [tick1, tick2, ..]: major ticks for Y axis.
  ZTick         % [tick1, tick2, ..]: major ticks for Z axis.
  XMinorTick    % 'on' or 'off': show X minor tick?
  YMinorTick    % 'on' or 'off': show Y minor tick?
  ZMinorTick    % 'on' or 'off': show Z minor tick?
  TickDir       % tick direction: 'in' or 'out'; default: 'in'
  TickLength    % tick length; default: [0.02, 0.02]
  XLim          % [min, max]: X axis limit.
  YLim          % [min, max]: Y axis limit.
  ZLim          % [min, max]: Z axis limit.
  XScale        % 'linear' or 'log': X axis scale.
  YScale        % 'linear' or 'log': Y axis scale.
  ZScale        % 'linear' or 'log': Z axis scale.
  XGrid         % 'on' or 'off': show grid in X axis?
  YGrid         % 'on' or 'off': show grid in Y axis?
  ZGrid         % 'on' or 'off': show grid in Z axis?
  XDir          % 'in' or 'out': X axis tick direction
  YDir          % 'in' or 'out': Y axis tick direction
  ZDir          % 'in' or 'out': Z axis tick direction
  Legend        % {'legend1','legend2',...}
  LegendBox     % bounding box of legend: 'on'/'off'; default: 'off'
  LegendBoxColor   % color of the bounding box of legend; default: 'none'
  LegendTextColor  % color of the legend text; default: [0,0,0]
  LegendLoc     % 'NorthEast', ..., 'SouthWest': legend location
  Resolution    % Resolution (dpi) for bitmapped file. Default:600.
  HoldLines     % true/false. true == only modify axes settings, do not touch plot lines/surfaces. Default false.
  FileName      % Save? Give a file name.

hfig            % Figure handle (optional). Default: current figure.

Return value: figure handle.

function h = plotPub(X, Y, N, opt)

This function plots X{i} vs Y{i}, changes the properties of the generated figure and exports it as a publication quality image file. The resolution of the image can be chosen by the user. Supported image formats are EPS, PDF, PNG, JPEG and TIFF. The figure properties are specified by the options structure 'opt'.

Parameters:

X             %cell array of x coordinates
Y             %cell array of y coordinates
N             %number of plots to be created. N &amp;lt;= length(X)
opt           %options structure. Same as above.
Project Page

Please see the project page.


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