Matlab drawing (the best quality article on the whole network)

Drawing Basic Commands

1. Scatter plot

1. The most basic scatter plot

x = 0.01:0.01:0.08;
y = [3.0743,3.0707,3.0716,3.1133,3.1685,3.1778,3.2467,3.2634];  
scatter(x, y);

2. Function-specific scatter plot

x = linspace(-2, 2, 100);
y = x .^ 3;  
scatter(x, y);

3. Set the scatter plot of the circle size

x = linspace(-2, 2, 100);
y = x .^ 2;  
sz = linspace(1, 100, 100);
scatter(x, y, sz);

2. Line chart

1. A line

x = 3:2:11;
y=[4,5,9,6,4];  
plot(x, y);

2. Multiple lines

x = 3:2:11;
y=[4,5,9,6,4;5,8,2,4,3];  
plot(x, y);

3. Histogram (three types)

1. The most basic column chart

x = 3:2:11;
y=[4,5,9,6,4];  
bar(x, y);

2. Multivariate histogram

x=3:5;
y=[4,5,9,6,4;5,7,9,8,7;1,3,5,9,7];  
bar(x,y);

3. Three-dimensional histogram

Just change bar to bar3.

x=3:5;
y=[4,5,9,6,4;5,7,9,8,7;1,3,5,9,7];  
bar3(x,y);

4. Stacked column chart

y=[4,5,9,6,4;5,7,9,8,7;1,3,5,9,7];
bar(y,'stacked');

5. Horizontal column chart

Just change bar to barh:

y=[4,5,9,6,4;5,7,9,8,7;1,3,5,9,7];
barh(y);

4. Match stick figure (very nice)

clc;clear;
x =linspace(0,2*pi,60);
y = sin(x);
stem(x,y);

clc;clear;
x =linspace(0,2*pi,60);
y1 = sin(x);
y2 = cos(x);
stem(x,y1);
hold on
stem(x,y2);

Five, pie chart

1. Basic pie chart

y=[4,5,9,6,4];  
pie(y);

2. Three-dimensional pie chart

Change the pie to pie3

y=[4,5,9,6,4];  
pie3(y);

3. A pie chart that highlights a sector

X=[2,2,1,5,2];
explode = [0 1 0 0 0];
pie(X,explode);

6. Area chart

x=3:8;
y=[45,6,8;7,4,7;6,25,4;7,5,8;9,9,4;2,6,8]; 
area(x,y);

7. Radar chart

There are detailed explanations in another blog, as follows:
Matalb draws radar charts (four lines of code)

Eight, double coordinate map

Just control the left and right coordinates separately, not too simple. And can be arbitrarily matched with many kinds of graphics.

 x= 1:3;
 y= [9.0725,9.075,9.5175];
 w= [229,230,207];
 yyaxis left%控制左纵轴
 bar(x,y);
 yyaxis right%控制右纵轴
 plot(x,w);

Nine, image segmentation function subplot

subplot function:
How to use: subplot(m,n,p) or subplot(mnp).
subplot is a tool for plotting multiple plots onto a single plane. Among them, m means that the graphs are arranged in m rows, and n means that the graphs are arranged in n columns. The order is first from left to right, then from top to bottom. p means the number of graphs.

subplot(1,2,1);
y = [3.4308,3.2773,3.1345,3.0526,3.7684,8.1929,15.7455,18.9201]; 
pie(y);
subplot(1,2,2);
y1=[3.0743,3.0707,3.0716,3.1133,3.1685,3.1778,3.2467,3.2634];
pie(y1);

Draw another one for easier understanding:

subplot(2,2,1);
y = [5,9,3,4,7,8,11,6]; 
plot(y);
subplot(2,2,2);
x=3:8;
y=[45,6,8;7,4,7;6,25,4;7,5,8;9,9,4;2,6,8]; 
area(x,y);
subplot(2,2,3);
x =linspace(0,2*pi,60);
y1 = sin(x);
y2 = cos(x);
stem(x,y1);
hold on
stem(x,y2);
subplot(2,2,4);
y=[4,5,9,6,4;5,7,9,8,7;1,3,5,9,7];
barh(y);

10. Compass chart

clc;clear;
x=-pi:pi/10:pi;
y=sin(x)+cos(x);
compass(x,y,'G')

11. Waterfall diagram

MyWaterFall([6 -3 4 -5 8],["A" "B" "C" "D" "E"]);

The following is the function: don't forget to change the file name.

function hfig = MyWaterFall(data, Xlabel)
len = length(data);
hfig = figure;
axes1 = axes('Parent',hfig);
hold on;
width = 40;
xbegin = 10;
ybegin = 0;
set(axes1, 'XTick', xbegin+width/2:width*1.5:xbegin+width/2+(len+1)*1.5*width,...
    'XTickLabel', [Xlabel "总计"]);
for i = 1:len
    if data(i) >= 0 
        text(xbegin+width/2+(i-1)*1.5*width, sum(data(1:i)), num2str(data(i), '%g'),...
            'HorizontalAlignment','center','VerticalAlignment','bottom');
    else
        text(xbegin+width/2+(i-1)*1.5*width, sum(data(1:i)), num2str(data(i), '%g'),...
            'HorizontalAlignment','center','VerticalAlignment','top');
    end
end
if sum(data) >= 0
    text(xbegin+width/2+(len)*1.5*width, sum(data), num2str(sum(data), '%g'),...
        'HorizontalAlignment','center','VerticalAlignment','bottom');
else
    text(xbegin+width/2+(len)*1.5*width, sum(data), num2str(sum(data), '%g'),...
        'HorizontalAlignment','center','VerticalAlignment','top');
end
for i = 1:len
    if data(i) >= 0
        rectangle('Position',[xbegin, ybegin, width, data(i)],'facecolor',[0.8500 0.3250 0.0980],...
            'LineWidth',0.5);
    else
        rectangle('Position',[xbegin, ybegin+data(i), width, -data(i)],'facecolor',[0 0.4470 0.7410],...
            'LineWidth',0.5);
    end
    plot([xbegin+width xbegin+1.5*width],[ybegin+data(i) ybegin+data(i)],'k-');
    xbegin = xbegin + width * 1.5;
    ybegin = ybegin +data(i);
end
if sum(data) >= 0
    rectangle('Position',[xbegin, 0, width, ybegin],'facecolor',[0.8500 0.3250 0.0980],...
        'LineWidth',0.5);
else
    rectangle('Position',[xbegin, ybegin, width, -ybegin],'facecolor',[0.8500 0.3250 0.0980],...
        'LineWidth',0.5);
end
end

12. Summary

That’s all for now. If there are any other good pictures, please leave a comment to tell the blogger. I will continue to update in the future and try to summarize all the pictures. It's not easy to create, remember to like and follow.