I got the vertices for my 3D surface and its value that need to be contoured. I wonder how to do a surface plot with contour? I found a simple way to do it with a scatter plot, but I don't know how to implement the code to be surface. 테마복사 x = data(:,1); y ...
代码如下：[ax,plotFrames] = show3D(scene); xlim([-250 200]) ylim([-150 180]) zlim([0 5...
plt.plot(x, y1) # 创建图形 plt.figure() plt.plot(x, y2, color='red', linewidth=1.0, linestyle='--') # 绘制在一个图形中 plt.figure() plt.plot(x, y1, color='blue', linewidth=1.0, linestyle='-') plt.plot(x, y2, color='red', linewidth=1.0, linestyle='--') plt.show() ...
% plot data on top of grid h = pcolor(XX,YY,Z,'parent',cax); shading flat set(cax,'dataaspectratio',[1 1 1]);axis off; if ~ishold(cax); % make a radial grid hold(cax,'on') % Draw circles and spokes createSpokes(thetaMin,thetaMax,Ncircles,Nspokes); createCircles(rMin,rMax,...
Matlab’s built-in functionmesh()creates the surface plots on a 3D plane. We can pass the matrix inside themesh()function as a function which we want to plot in the 3D plane. Themesh()function will plot the given matrix along the z-axis using the default value for the x-y coordinate...
Panda, Plot, Scatter 根据您所说的,我有一些想法可以让您从数据帧中绘制所需的输出。因此,我尝试用以下代码重现您的问题: import pandas as pd# I made this solution using matplotlib to make the scatterplotfrom matplotlib import pyplot as pltdata = [ (-0.76, -0.66, -1), ( 0.07, 0.59, 1),...
scatter 2散点图,绘制一系列散点 scatter3 3 3D散点图 spy 2 稀疏模式(sparsity pattern)图,对矩阵非0的地方绘制散点 plotmatrix 2 将矩阵绘制为散点图或散点图和直方图 轮廓 contour 2 轮廓图,二维函数的等值线 contour3 3 3D轮廓图,三维函数(空间函数)的等值线 ...
SCATTERCLOUD creates a scatterplot from X and Y data sets, and overlays it on top of a density plot of the same data. From the help: SCATTERCLOUD display density of scatter data SCATTERCLOUD(X,Y) creates a scatterplot of X and Y, displayed over a surface representing the smoothed densit...
Panda, Plot, Scatter 根据您所说的,我有一些想法可以让您从数据帧中绘制所需的输出。因此,我尝试用以下代码重现您的问题: import pandas as pd# I made this solution using matplotlib to make the scatterplotfrom matplotlib import pyplot as pltdata = [ (-0.76, -0.66, -1), ( 0.07, 0.59, 1),...
One final feature here that I won’t get into too much but will just mention is that you can use a second map of ROIs to create a 2D scatterplot for the two overlays you have selected to make this patch. This will extract the values of the two overlays that fall into the ROIs in...