voronoi

问题 I need to plot a Voronoi tessellation on top of an existing image using scipy.spatial.Voronoi . I have imported an image as a numpy array using matplotlib.pyplot : img_file = 'my_image.png' img = plt.imread(os.path.join(data_dir, img_file)) fig = plt.figure() ax = fig.add_subplot(111) When I display the image it works ok: ax.imshow(img) my initial image Then I want to add a Voronoi graph (for some points I choose arbitrarily) on it so I do: points = np.array([[0, 0], [0, 1], [0, 2], [1, 0],

问题 I am trying to plot on top of scipy plot. Used [this solution] (Python: plot on top of scipy plot? (voronoi)) but still cannot get single plot. Can anyone help? Thanks in advance... Sample plots are the following and trying to overlap them: Voronoi Diagram and Scatter Plot vor = Voronoi( points ) voronoi_plot_2d(vor) import matplotlib.pyplot as plt import csv x = [] y = [] with open('Junctions.csv','r') as csvfile: plots = csv.reader(csvfile, delimiter=',') for row in plots: x.append((row[0])

来源： https://stackoverflow.com/questions/59754658/voronoi-regions

来源： https://stackoverflow.com/questions/59754658/voronoi-regions

来源： https://stackoverflow.com/questions/59754658/voronoi-regions

问题 how do I plot on top of a voronoi plot (which is a scipy plot)? Note my question is slightly different than here where they explain how to color a voronoi plot For instance, imagine that I have some more points points = np.array([[1,2], [3,4], [5,6], [7,8]]) after a first voronoi plot. I would like to add them within the existing plot. How do I do that? The voronoi plot I' referring to is scipy.spatial.voronoi_plot_2d() 回答1: I think you can simply reuse plot like this: import numpy as np

问题 I'm trying to plot a voronoi diagram with real time data, but get the error: IndexError: tuple index out of range the code: data, addr = sock.recvfrom(1024) # buffer size is 1024 bytes data = str(data, "utf-8") #convert bytes into string and fix the 'b' #data.decode("utf-8", errors="ignore") data = data.strip(" ").split(".") x = data[0] y = data[1] x = float(x.replace( ',', '.')) y = float(y.replace( ',', '.')) vor = Voronoi(x,y) The value of the data variable is like this: [b' 0,2036377.2

问题 I am trying to update the Voronoi's intersection point array by find the intersection of overhanging polygon lines that intersect a defined square's perimeter. I want to be able to recreate a new Voronoi intersection point array that should replace those overhanging points with the intersected ones. Below I have some code that I created for experiments. function grainnum = sentuarusgrain(L,H,grainsize,numsamples,plot_grain) for r=1:numsamples n = randi([10,50],1,1);%chooses random number

问题 I am trying to update the Voronoi's intersection point array by find the intersection of overhanging polygon lines that intersect a defined square's perimeter. I want to be able to recreate a new Voronoi intersection point array that should replace those overhanging points with the intersected ones. Below I have some code that I created for experiments. function grainnum = sentuarusgrain(L,H,grainsize,numsamples,plot_grain) for r=1:numsamples n = randi([10,50],1,1);%chooses random number

问题 from a set of points I built the Voronoi tessellation using scipy: from scipy.spatial import Voronoi vor = Voronoi(points) Now I would like to build a Polygon in Shapely from the regions the Voronoi algorithm created. The problem is that the Polygon class requires a list of counter-clockwise vertices. Although I know how to order these vertices, I can't solve the problem because often this is my result: (overlapping polygon). This is the code (ONE RANDOM EXAMPLE): def order_vertices(l): mlat