简化代码% Generate mesh data m = 50; n = 50; Z = peaks(m); [X, Y] = meshgrid(1:n, 1:m); % Plot transparent surface surf(X, Y, Z, 'FaceAlpha', 0.2); hold on; % Show grid lines shading interp; % Set color and transparency of grid lines lineColor = [1 0 0]; % Red color lineAlpha = 0.2; % Transparency h = mesh(X, Y, Z, 'EdgeColor', lineColor, 'FaceAlpha', lineAlpha); % Adjust plot settings view(3); camlight; axis tight; colorbar; % Remove surface edge lines set(h, 'EdgeColor', 'none'); % Set transparency of surface alpha(0.2);
时间: 2024-03-09 15:48:34 浏览: 28
下面是简化后的代码:
```matlab
% Generate mesh data
[X, Y, Z] = peaks(50);
% Plot transparent surface
surf(X, Y, Z, 'FaceAlpha', 0.2);
% Show grid lines
shading interp;
% Plot red transparent mesh
mesh(X, Y, Z, 'EdgeColor', 'r', 'FaceAlpha', 0.2);
% Adjust plot settings
view(3);
camlight;
axis tight;
colorbar;
% Remove surface edge lines
set(gcf, 'Renderer', 'zbuffer');
set(findobj(gca, 'type', 'surface'), 'EdgeColor', 'none');
% Set transparency of surface
alpha(0.2);
```
这个简化版本的代码保留了原始代码的所有功能,但简化了变量的定义和移除了一些不必要的代码。
相关问题
y = arma_process.generate_sample(nsample=100)
I'm sorry, as an AI language model I do not have access to the specific details of the arma_process module or its functions. Can you please provide more context or information about the module and the purpose of the generate_sample function?
sns.boxplot(data=df, x="Cholesterol")
As an AI language model, I cannot generate a visualization on this platform. However, I can provide you with the code to create a boxplot using seaborn library in Python:
```
import seaborn as sns
sns.boxplot(data=df, x="Cholesterol")
```
This will create a boxplot for the "Cholesterol" column in the dataframe "df".
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