graph

问题 Using R, I create some fake data about a group of people and their relationships to each other: #relationship data Data_I_Have <- data.frame( "Node_A" = c("John", "John", "John", "Peter", "Peter", "Peter", "Tim", "Kevin", "Adam", "Adam", "Xavier"), "Node_B" = c("Claude", "Peter", "Tim", "Tim", "Claude", "Henry", "Kevin", "Claude", "Tim", "Henry", "Claude"), " Place_Where_They_Met" = c("Chicago", "Boston", "Seattle", "Boston", "Paris", "Paris", "Chicago", "London", "Chicago", "London", "Paris"

问题 Using R, I create some fake data about a group of people and their relationships to each other: #relationship data Data_I_Have <- data.frame( "Node_A" = c("John", "John", "John", "Peter", "Peter", "Peter", "Tim", "Kevin", "Adam", "Adam", "Xavier"), "Node_B" = c("Claude", "Peter", "Tim", "Tim", "Claude", "Henry", "Kevin", "Claude", "Tim", "Henry", "Claude"), " Place_Where_They_Met" = c("Chicago", "Boston", "Seattle", "Boston", "Paris", "Paris", "Chicago", "London", "Chicago", "London", "Paris"

问题 I have points as x,y and I want to plot my graph using the (x,y) coordinates of my points list so that I can see the axis. here are my code and photo of the graph import networkx as nx import matplotlib.pyplot as plt def add_edge_to_graph(G,e1,e2,w): G.add_edge(e1,e2,weight=w) G=nx.Graph() points=[(1, 10), (8, 10), (10, 8), (7, 4), (3, 1)] #(x,y) points edges=[(0, 1, 10), (1, 2, 5), (2, 3, 25), (0, 3, 3), (3, 4, 8)]#(v1,v2, weight) for i in range(len(edges)): add_edge_to_graph(G,points[edges

问题 I am trying to find out if node attributes and edge attributes are used during graph network clustering (i.e. community detection algorithms) in R. I could not find an answer, so I decided to write some code for this problem and compare the differences. I first created a file of node attributes and edge attributes - then I created a graph network. On this graph network, I performed the clustering/community detection algorithm. In Method 1, I use the full information from the edges and nodes

问题 I am trying to make a series of graphs like this: I have some mixed categorical and continuous data. I am able to make this series of graphs when there are only categorical variables or when there are only continuous variables. But I am unable to produce this series of graphs when there are both types of variables. I have created some data below. Is there a way to debug this code so that it produces a series of graphs? library(ggplot2) library(gridExtra) library(tidyr) /create some data/ var

问题 I am trying to make a series of graphs like this: I have some mixed categorical and continuous data. I am able to make this series of graphs when there are only categorical variables or when there are only continuous variables. But I am unable to produce this series of graphs when there are both types of variables. I have created some data below. Is there a way to debug this code so that it produces a series of graphs? library(ggplot2) library(gridExtra) library(tidyr) /create some data/ var

问题 I posted a comment/reply to another stackoverflow post over here : R: Understanding Graph relating to graphs in R. If you create some data corresponding to movies and actors (in which movies can not be connected to other movies directly, and actors can not be connected to other actors directly), you write some R code to check if your graph is bipartite: library(igraph) film_data <- data.frame( "movie" = c("movie_1", "movie_1", "movie_1", "movie_2", "movie_2", "movie_2", "movie_3", "movie_3",

问题 I posted a comment/reply to another stackoverflow post over here : R: Understanding Graph relating to graphs in R. If you create some data corresponding to movies and actors (in which movies can not be connected to other movies directly, and actors can not be connected to other actors directly), you write some R code to check if your graph is bipartite: library(igraph) film_data <- data.frame( "movie" = c("movie_1", "movie_1", "movie_1", "movie_2", "movie_2", "movie_2", "movie_3", "movie_3",

问题 I found DiGraph.reverse() to reverse the direction of all edges in the directed graph, but is there a way to change the direction of a specific edge only? 回答1: It can certainly be done manually, but there's nothing in the API for it. $ cat edges.py; echo; python edges.py import networkx as nx G=nx.DiGraph() G.add_edge(1,2,{'weight':.5}) G.add_edge(3,4,{'weight':1.0}) attrs = G[1][2] G.remove_edge(1,2) G.add_edge(2,1,attrs) print G.edges(data=True) [(2, 1, {'weight': 0.5}), (3, 4, {'weight': 1

问题 I am trying to represent relationships between numbers in column A and their corresponding values in B. A B Home [Kitchen, Home, Towel] Donald [US, 02 , Donald, Trump] Trump [Trump,Family, Cat, Dog] Dog [Dog,Cat,Paws] Numbers in column A and numbers in B are nodes in a graph. I would like to connect elements in B to A or to each other. For example: Home in A is linked with itself; if I look within B column (the value appears only in the first row), Home in B is connected to Kitchen and Towel