heatmap

问题 So I need to create a number of heatmaps in seaborn with varying datascales. Some range from 0-100 and some +100 to -100. What I need to do is to keep the colour grading the same throughout all graphs. So for example I want anything below 0 to be steadily getting from dark blue to light blue and anything above 0 to be getting darker red such as the terrible example graph below. What I need that is not shown below very well is a fluid colour transition as currently I am not fully sure how

问题 in the following example, a matrix of 3 cols and 5 rows. when I create a heatmap, any row that has similar numbers like the example below (0.3,0.3,0.3) it shows white color in the heatmap. and my intention is to change it to any desirable color. Example: here is an example: A = matrix(c(0.0183207, 0.0000000, 0.1468750, 0.03, 0.03, 0.03,0.4544720,0.0000000,0.1395850,0.002,0,0,1.1,1,1),nrow=5,ncol=3,byrow = TRUE) dimnames(A) = list(c("row1", "row2","row3","row4","row5"),c("col1", "col2", "col3"

问题 I'm on the python 3 and I have two variables x and y, where x ranges from 1 to 5 and y from 0.03 to 0.7 and I then have a method that takes x and y and generates a scalar number. I want to create a heat map type plot with x as the x-axis and y as the y axis and a colour key to represent the method f(x,y). How is this done? I've tried using heatmaps but cans seem to get it to work due to ranges not being able to get agreeable ranges of x and y. Here's an example I found and that is close to

问题 I want to plot a heat map in google map to show the taxi-ride distribution of a city. I got around 4000 data of the taxi-ride starting location(latitude and longitude). Here are some of my script: First I set up the google map: var hongkong = new google.maps.LatLng(22.28552,114.15769 ); map = new google.maps.Map(document.getElementById('map'), { center: hongkong, zoom: 11, }); Then, I read the data from JSON file and make a heat map: jQuery.getJSON("data.json", function(data) { var

问题 I am using R to plot the heat map of a data in CSV file (10 (Columns) Conditions and 1000 (Rowa)) Following is the Code I am using .. nba <- read.csv("1317754115.csv", sep=",") nba_matrix <- data.matrix(nba) cexRow = 0.2 + 1/log10(1000), cexCol = 0.2 + 1/log10(10), nba_heatmap <- heatmap(nba_matrix, Rowv=cexRow, Colv=cexCol, col = heat.colors(256), scale="column", margins=c(5,10)) Heat Map Image Now Rows on right hand sides are very close so I can not read the label names , Can some one

问题 I wish to create something similar to the following types of discontinuous heat map in R: My data is arranged as follows: k_e percent time .. .. .. .. .. .. I wish k_e to be x-axis, percent on y-axis and time to denote the color. All links I could find plotted a continuous matrix http://www.r-bloggers.com/ggheat-a-ggplot2-style-heatmap-function/ or interpolated. But I wish neither of the aforementioned, I want to plot discontinuous heatmap as in the images above. 回答1: The second one is a

问题 I am trying to create a heat map that shows the value that drive the colors in each cell. If a cell is dark blue because it has 5 observations, I want to see the number 5 in that cell. (The purpose is to buid a credit ratings migration matrix where one axis is credit ratings this year, the other is credit ratings last year. The input is a dataframe where each row is one observation for one company, the company's credit rating this year, and it credit rating last year. The matrix show which

问题 The R heatmap() documentation says for Rowv and Colv (i.e. row and column ordering parameters): If either is missing, as by default, then the ordering of the corresponding dendrogram is by the mean value of the rows/columns, i.e., in the case of rows, Rowv <- rowMeans(x, na.rm = na.rm). I thought it's as easy as that but now I guess there must be something more in the default ordering algorithm. Let's have this correlation matrix: m = matrix(nrow=7, ncol = 7, c(1,0.578090870728824,0

问题 I am trying to use the A true heat map in R suggestions, however I get the error: Error in interp.old(x, y, z, xo = xo, yo = yo, ncp = 0, extrap = extrap, : scales of x and y are too dissimilar after the code line: s <- interp(x,y,z) My data was constructed expecting to get coloured heat-map like lines in a dark continuous background, and works in GNUplot using set pm3d map and set hidden3d . The data corresponds to a model of molecules production ( y ) in a given time ( x ) with the

问题 Using GDI+ I've made a heatmap bmp and I'd like to superimpose it on top of my bmp map. I've saved the two bmps to disk, and they look good, I just need a way to put them together. Is there any way to do this, perhaps using the Graphics object? How is transparency/alpa involved? I'm very new to GDI programming so please be as specific as possible. OK - here's an answer. At some point I need to learn how GDI+ works... I couldn't get around the transarency issues, but this works. It just copies