graph

问题 I am trying to plot several vertical lines of a variable, say velocity (m/s), against a x-axis of distance (m) and a y-axis of height(m). Each of the velocity profiles come as a function of height measured at different locations. So the aim is to observe how these profiles change spatially. I have thought to approach this by shifting the vertical profiles by the x-component corresponding to the location where each profile was measured. So if we suppose that the second x-axis depicts velocity

问题 I able to populate network graph using networkx. My problem is when I want to highlight the path (shortest path for example) the graph cannot generate and it will return error below. nx.draw_networkx_edges(Gr,pos,edgelist=path_edges,edge_color='r',width=10) File "/usr/local/lib/python3.6/site-packages/networkx/drawing/nx_pylab.py", line 578, in draw_networkx_edges if not edgelist or len(edgelist) == 0: # no edges! TypeError: object of type 'zip' has no len() I look for solution and this is

问题 The following python program plots a sinusoid: import matplotlib.pyplot as plt import numpy as np # Canvas plt.style.use("ggplot") # Frequency, Oscillations & Range f = int(input("Enter frequency: ")) n_o = int(input("Enter number of oscillations: ")) t_max = n_o/f t = np.linspace(0, t_max, 1000) # Sine y_sin = np.sin(2*np.pi*f*t) # Setting subplots on separate axes fig, axs = plt.subplots(2, 1, constrained_layout = True) # Sine axis axs[0].plot(t, y_sin, color = "firebrick", label = "sin({

问题 I want to change the style of my graph according to global Javascript variables. For exemple, assumung my edges got name and price attributes, I would like to make the labels of edges different, depending on a global label_type variable : let lable_type = 'I_want_name_labels' switch(lable_type) { case 'I_want_name_labels': cy.style().selector('edge').style({'label': 'data(name)'}); break; case 'I_want_price_labels': cy.style().selector('edge').style({'label': 'data(price)'}); break; } The

问题 I have a plot (made in R with ggplot2 ) that's the result of some singular value decomposition of a bunch of text data, so I basically have a data set of ~100 words used in some reviews and ~10 categories of reviews, with 2D coordinates for each of them. I'm having trouble getting the plot to look legible because of the amount of text and how close together a lot of the important points are. The way my data is structured now, I'm plotting 2 different geom_texts with different formatting and

问题 I would like to use CERN ROOT to draw a 2d graph of pairs of x-y datapoints possibly also with y-errorbars . However I only know how to draw histograms. Is this possible with CERN ROOT? If so how? Also I realize that there may be better libraries for doing this. I have been using GNUPlot, but unfortunately I can't seem to integrate it well with my C++ code, since I can't find a C/C++ GNUPlot interface which covers all the features and allows me to send data in a bidirectional manner - ie:

问题 As I checked with the Matplotlib document and other resources. I got that when multiple axis were created they are not depend on each other and we can plot the multiple line as per different axis. But I need to plot the graph like two Y-axis contains with the temperature as (Celsius and Fahrenheit) and need to plot only one single line related to that so with 1st axis user able to check Celsius and with 2nd axis Fahrenheit. with x-axis as range (1 -24 hr). Suggestions are most welcome. 回答1:

问题 I would like to improve my graph. There are problems as follow: how to create a consistent graph.the graph itself is not consistent everytime i execute / run the code, it will generate different images. The inconsistent graph is shown in the url. how to customize the whole graph / picture size and to make it bigger how to set a permanent position for an object 'a' so that it will consistently appears at the first / top position how to customize length of arrow for each relationship.

问题 Now, I have an image.I want to generate a weighted graph G=(V,E) which V is the vertex set and E is the edge set (each pixel in the image as a node in the graph). But I don't know how to do it. Is there anyone who can help me? It is better to python. Thank you very much. Problem supplement I'm sorry that my description of the problem is not clear enough. My goal is to use the pixels of the image as a network of nodes to establish the network, and then analyze the nature of the network to

问题 Let's say the matrices are the following: (N = 4) Adjacency: 0110 1001 1001 0110 Incidence: 1100 1010 0101 0011 How can you get the Incidence matrix from having just the Adjacency one, and vice-versa? P.S: The Adjacency Matrix I'm getting from a .txt document, which I've read into an array and got it by the following algorithm: int read(){ ifstream graf("graf.txt"); if(graf.is_open()){ graf >> n; for (int i=0; i < n; i++) { for(int j = 0; j<2; j++) graf >> Graf[i][j]; } } graf.close(); return