I have a segment constructed of several voxels of 3D coordinates. My aim is to to rotate it so as it becomes colinear with the Z-axis. For this, I compute the angle between its directional vector(I pickup 2 voxels of the segment and compute their difference) and the Z-axis (please see the image attached). I ..
The following code is the basis of what I’m currently doing. It does accomplish what I want but the generated plot is slow to rotate. My goal/hypothesis is that, instead of adding N number of Poly3DCollection objects to the axis, I would somehow create a single object that represents the entire collection of polygons to ..
I am trying to convert a 1d array to a 3d array where each floor of the 3d array is built in the column-major order. So for example, if I have A = np.array([i for i in range(1,25)]) where A = array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, ..
I’m trying to change a Matlab code into python. I first read in a .bin file full of numbers then assign them to a few variables. The part that I have a problem with is where changing this 1d array to a 3d array. The array size is 4860108928 in Matlab. I am currently getting ..
I am having issue in plotting a 3D graph. I have csv file consisting of 713 rows and 3 columns data = np.genfromtxt("graph-data.csv", delimiter=",", names=["x", "y","z"]) x, y, z = zip(*data) fig = plt.figure() ax = plt.axes(projection=’3d’) ax.set_xlabel(‘CPU availability(%)’) ax.set_ylabel(‘Memory availability(%)’) ax.set_zlabel(‘Frame Drop Rate(%)’) ax.plot_surface(np.array(x).reshape(712,3), np.array(y).reshape(712,3), np.array(z).reshape(712,3), cmap=’viridis’, edgecolor=’none’) #ax.plot_surface(x, y, z,cmap=’viridis’, edgecolor=’none’) plt.show() Error ..
I have made some code to draw a room with matplotlib. I am using something like this pseudocode: for i in range(totalwalls-1): rec=[(xa, ya, za), (xb, yb, zb), (xc, yc, zc), (xd, yd, zd), ] face = mp3d.art3d.Poly3DCollection([rec], linewidth=1) alpha = 0.12 face.set_facecolor((0.3,0.3,0.8) + (alpha,)) face.set_edgecolor((0.4,0.4,0.4,0.9)) ax.add_collection3d(face) I am able to draw any kind of ..
How to make the circle clear transparent? The desired result is a black edge and None colour to see the plots behind the circle. import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D # 3d graph from mpl_toolkits.mplot3d import proj3d # 3d graph from matplotlib.patches import FancyArrowPatch from mpl_toolkits.mplot3d import proj3d, art3d from matplotlib.patches import Circle ..
How can I plot a 3D scatter plot (plt.plot), instead of just show it (plt.show)? Code snippet: fig = plt.figure(figsize=(12,10)) ax = fig.add_subplot(111, projection=’3d’) p1x = ax.scatter(xvardatasetcml1, yvardatasetcml1, datasetcml1, c=’red’, label = ‘Variance’, marker = ‘+’) p1y = ax.scatter(xassimdatasetcml1, yassimetriadatasetcml1, datasetcml1, c=’blue’, label = ‘Skewness’, marker = ‘+’) p1z = ax.scatter(xcurtdatasetcml1, ycurtdatasetcml1, datasetcml1, c=’green’, label ..
I have .asc files that are readouts from a detector with 128 x 128 pixels. I need to plot the pixel data (xValue, yValue, zValue) from this file. The code I have so far will open the file, read the X, Y, Z lines and convert to the correct integer/float arrays that I need: import ..
I have a question about filling out a space (for example the capacity is 800 m³) with boxes of different sizes (for example box 1 is 102015 and another box is 201530) and show these boxes in this capacity by matplotlib. Does anyone have any idea how I can solve this problem ? This is ..