graph

问题 The code below plots a graph in which the names of the colors appear in the legend in the correct order, but the colors themselves appear in the reverse order. Why? year <- 2000:2009 a1 <- 4 + rnorm(10) a2 <- 3 + rnorm(10) a3 <- 2 + rnorm(10) a4 <- 0.25 * rnorm(10) vv <- tibble(year, a1, a2, a3, a4) test <- ggplot(data=vv) + aes(x=year) + geom_line(aes(y = a1, colour= "blue")) + geom_line(aes(y = a2, colour= "green")) + geom_line(aes(y = a3, colour= "yellow")) + geom_line(aes(y = a4, colour=

问题 I have a line chart in chart js. I want to give it a different background on the y axis say, 0-40 is red,40-70 is yellow and 70-100 is green. The limit for the y axis will always be 100. var scatterChart = new Chart(ctx, { type: 'line', data: { datasets: [{ label: ' Dataset', data: [{ x: 1, y: 10 }, { x: 2, y: 50 }, { x: 3, y: 88 }, { x: 4, y: 5 }] }] }, options: { scales: { xAxes: [{ type: 'linear', position: 'bottom' }] } } }); How do i set the background? 回答1: There is not a built in

问题 I took an Olympiad Exam three days ago. I ran into a nice question as follows. We know the bellman-ford algorithm checks all edges in each step, and for each edge if, d(v)>d(u)+w(u,v) then d(v) being updated such that w(u,v) is the weight of edge (u, v) and d(u) is the length of best finding path for vertex u . if in one step we have no update for vertexes , the algorithms terminates . Supposing this algorithm for finding all shortest path from vertex s in graph G with n vertex after k < n

问题 I took an Olympiad Exam three days ago. I ran into a nice question as follows. We know the bellman-ford algorithm checks all edges in each step, and for each edge if, d(v)>d(u)+w(u,v) then d(v) being updated such that w(u,v) is the weight of edge (u, v) and d(u) is the length of best finding path for vertex u . if in one step we have no update for vertexes , the algorithms terminates . Supposing this algorithm for finding all shortest path from vertex s in graph G with n vertex after k < n

问题 I have 2 data tables with the dimensions 4x25 . Each table is from a different point in time, but has exactly the same meta data, in essence the same column and row headers. Given the large number of columns, I thought it best to represent this using a heatmap using the seaborn library for Python . However, I need to include both tables in the same plot. I am able to create a single heatmap representing a single data table as so. df = pd.DataFrame(raw_data) ax = sns.heatmap(df) ax.set

问题 I have 2 data tables with the dimensions 4x25 . Each table is from a different point in time, but has exactly the same meta data, in essence the same column and row headers. Given the large number of columns, I thought it best to represent this using a heatmap using the seaborn library for Python . However, I need to include both tables in the same plot. I am able to create a single heatmap representing a single data table as so. df = pd.DataFrame(raw_data) ax = sns.heatmap(df) ax.set

问题 I'm collecting some system data in a flatfile, which has this format: YYYY-MM-DD-HH24:MI:SS DD1 DD2 DD3 DD4 Where DD1-DD4 are four items of data. An example of the file is this: 2011-02-01-13:29:53 16 8 7 68 2011-02-01-13:29:58 13 8 6 110 2011-02-01-13:30:03 26 25 1 109 2011-02-01-13:30:08 13 12 1 31 2011-02-01-13:30:14 192 170 22 34 2011-02-01-13:30:19 16 16 0 10 2011-02-01-13:30:24 137 61 76 9 2011-02-01-13:30:29 452 167 286 42 2011-02-01-13:30:34 471 177 295 11 2011-02-01-13:30:39 502 192

问题 I'm collecting some system data in a flatfile, which has this format: YYYY-MM-DD-HH24:MI:SS DD1 DD2 DD3 DD4 Where DD1-DD4 are four items of data. An example of the file is this: 2011-02-01-13:29:53 16 8 7 68 2011-02-01-13:29:58 13 8 6 110 2011-02-01-13:30:03 26 25 1 109 2011-02-01-13:30:08 13 12 1 31 2011-02-01-13:30:14 192 170 22 34 2011-02-01-13:30:19 16 16 0 10 2011-02-01-13:30:24 137 61 76 9 2011-02-01-13:30:29 452 167 286 42 2011-02-01-13:30:34 471 177 295 11 2011-02-01-13:30:39 502 192

问题 I'm collecting some system data in a flatfile, which has this format: YYYY-MM-DD-HH24:MI:SS DD1 DD2 DD3 DD4 Where DD1-DD4 are four items of data. An example of the file is this: 2011-02-01-13:29:53 16 8 7 68 2011-02-01-13:29:58 13 8 6 110 2011-02-01-13:30:03 26 25 1 109 2011-02-01-13:30:08 13 12 1 31 2011-02-01-13:30:14 192 170 22 34 2011-02-01-13:30:19 16 16 0 10 2011-02-01-13:30:24 137 61 76 9 2011-02-01-13:30:29 452 167 286 42 2011-02-01-13:30:34 471 177 295 11 2011-02-01-13:30:39 502 192

问题 I want to add a graph to my file and it shows the following error and prints an empty graph. I want to plot a graph between the rating column that has values (1,2,3,4,5) and the number of rows in each rating. This is the code: sns.set(rc={'figure.figsize':(6,6)}) plt.title('Distribution of Ratings') sns.countplot(x = 'Rating', Edata = Edata); The error is: --------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-77