How does MATLAB draw a picture
This article mainly introduces the MATLAB how to draw, has a certain reference value, interested friends can refer to, I hope you can learn a lot after reading this article, the following let the editor take you to understand it.
I need to do something recently, and one of the steps is to draw a picture like this. As shown above, I want to connect the red squares on the left with all the blue circles on the right. Normally we use a two-layer for loop and then plot, but this push will show you how to use arrayfun to draw the diagram. (arrayfun is nested in arrayfun)
In fact, later, I counted the running time of using for loop and arrayfun, and found that the time consuming of these two methods is basically the same, and even the time consuming of using for loop is a little less than that of using arrayfun.
But use arrayfun to be more concise.
Before you look at the program, review arrayfun first.
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V
Avoid useless loops-- the other three functions of the fun series
Code:
Clear
Clc
Close all
Enter the coordinates of the device
In_x = zeros (1,10)
In_y = linspace (0,100,10)
% output the coordinates of the device
Out_x = 200.*ones (1,30)
Out_y = linspace (0,100,30)
% method 1:arrayfun
Tic
Figure (1)
Ax = axes ('NextPlot',' add')
F = @ (x, y) arrayfun (@ (x_out, y_out) plot ([x, x_out], [y, y_out]), out_x, out_y)
Arrayfun (f, in_x, in_y)
Toc
% method 2:for loop
Tic
Figure (2)
Ax2 = axes ('NextPlot',' add')
For I = 1: length (in_x)
For j = 1: length (out_x)
Plot ([in_x (I) out_x (j)], [in_y (I) out_y (j)])
End
End
Toc
Using arrayfun's method, those two sentences are explained as follows:
In fact, using a layer of for loop and then using an arrayfun will double the speed. As in method 3 below, I use arrayfun to nest arrayfun just to make fun of it. But it is really simple for arrayfun to nest another arrayfun.
But the readability is reduced, and it doesn't run well!
Method 3: loop a layer of for and then use an arrayfun
Tic
Figure (3)
Ax3 = axes ('NextPlot',' add')
For I = 1: length (in_x)
F = @ (x, y) line ([in_x (I), x], [in_y (I), y])
Arrayfun (f, out_x, out_y)
End
Toc
The running time of the three methods is as follows:
I changed the input points to 100 and the output points to 300!
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