4d

问题 I want to try and make a game that utilises movement through 4D cross sections. I have looked repeatedly, but cannot find any answers that present complete and clear code - the closest i found was [how should i handle (morphing) 4D objects in opengl? which contains what I need, however, upon trying to utilise the code, not all of the architecture was described clearly, such as the file containing the 5x5 matrix. 回答1: 4D Reper I did not post it before as it would not fit into 30KByte limit

问题 I need to build a graph as shown, only need to be displayed at different levels of other plots. I found this: m = 10; n = 25; d = 4; S = rand([m,n,d]); slice(S, [], [], 1:size(S,3)); Can we instead S transmit another plot for example contour() , to get different graphs at different levels as shown above? And if so, how? 回答1: Inferring from your own link: m = 10; n = 25; d = 4; S = rand([m,n,d]); contourslice(S, [], [], 1:size(S,3),10); view(3); 来源： https://stackoverflow.com/questions/15088055

问题 I have 3 different parameters X,Y and Z over a range of values, and for each combination of these a certain value of V. To make it clearer, the data would look something like this. X Y Z V 1 1 2 10 1 2 3 15 etc... I'd like to visualize the data with a surface/contour plot, using V as a colour to see its value at that point, but I do not see how to add my custom colouring scheme into the mix using Python. Any idea on how to do this (or is this visualization outright silly)? Thanks a lot! 回答1:

问题 I currently have a 4D matrix of images in the form height x width x RGB x imageNumber in which I would like to index with a 2D array without using a for loop. The 2D array is in the format of height x width with the values being the image number to index. I've got it working with A for loop but due to speed is there a way to do it without looping? I've tried resizing the matrix and index array but no luck so far. Here is the for loop I've got working (albeit slowly on large images): for

问题 I know that I can do a 4D plot in matplotlib with the following code, with the fourth dimension shown as a colormap: import numpy as np from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt from matplotlib import cm fig = plt.figure() ax = fig.add_subplot(111,projection= '3d' ) x = np.arange(100)/ 101 y = np.sin(x) + np.cos(x) X,Y = np.meshgrid(x,y) Z = (X**2) / (Y**2) A = np.sin(Z) ax.plot_surface(X,Y, Z, facecolors=cm.Oranges(A)) plt.show() But what if my data is not a

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 4 months ago . i want to try writing a playground similar to this 4D toys, so i started learning opengl. from my current understanding, people use VBOs and uniform transformation matrix for mostly-static objects (like cubes, skeletal animations etc., which usually just involves transformations)

问题 I would like to make a 4d plot, where you have X, Y, Z (as a surface) and C (displayed as contours on that surface). What I have right now: What I would like to have: I suspect the answer will be some trick with facecolors or countourf3d but I can't seem to figure it out. Any help much appreciated. My code: import scipy.ndimage import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D from matplotlib import cm def surfcont4d(X,Y,Z,V): # create the figure, add

问题 I am having trouble figuring out how display 4 variables in my plot. I want to vary the independent variables X,V, to produce the dependent variables Y and Z. Y is a function of X AND V. And Z is a function of Y AND X. This may be easier to see the dependencies: X, V, Y(X,V), Z(X,Y(X,V)). I have used the surf function to plot X,Y,Z, but I also want to know the values of V, which I cannot currently ascertain. Here is some test data to illustrate: X = linspace(1,5,5) V = linspace(1,5,5) Capture