heatmap

问题 I have a chart on which I want to plot a heat map; the only data I have is humidity and temperature, which represent a point in the chart. How do I get the rectangular type of heat map on the chart in c#? What I want is similar to picture below : What I really want is a rectangular region in the chart which is plotted in different color based on the point that i get from the list of points and form the colorful section in the chart. 回答1: You have a choice of at least three ways to create a

问题 I'm trying to come up with a way of plotting a ternary heatmap using R. I think ggtern should be able todo the trick, but I don't know how to do a binning function like stat_bin in vanilla ggplot2. Here's What I have so far: require(ggplot2) require(ggtern) require(MASS) require(scales) palette <- c( "#FF9933", "#002C54", "#3375B2", "#CCDDEC", "#BFBFBF", "#000000") sig <- matrix(c(1,2,3,4),2,2) data <- data.frame(mvrnorm(n=10000, rep(2, 2), Sigma)) data$X1 <- data$X1/max(data$X1) data$X2 <-

问题 This is related to another question: Plot weighted frequency matrix. I have this graphic (produced by the code below in R): #Set the number of bets and number of trials and % lines numbet <- 36 numtri <- 1000 #Fill a matrix where the rows are the cumulative bets and the columns are the trials xcum <- matrix(NA, nrow=numbet, ncol=numtri) for (i in 1:numtri) { x <- sample(c(0,1), numbet, prob=c(5/6,1/6), replace = TRUE) xcum[,i] <- cumsum(x)/(1:numbet) } #Plot the trials as transparent lines so

问题 I created a very simple heatmap chart with Seaborn displaying a similarity square matrix. Here is the one line of code I used: sns.heatmap(sim_mat, linewidths=0, square=True, robust=True) sns.plt.show() and this is the output I get: What I'd like to do is to represent on the x and y axis not the labels of my instances but a colored indicator (imagine something like a small palplot on each axis) where each color represents another variable associated to each instance (let's say I have this

问题 I'm creating a GUI where there is live 'point in time' data for several records ("things") and fields. records are comparable based on field, but fields are not necessarily related (at least not on same scale). For my eventual GUI, I want to have the main page be a heatmap (really a bunch of 1-D heatmaps based on columns (fields), then if you click on one it will give a time series history and some other charts. Anyway, what I'm after here, is trying to get the initial heatmap to show the way

问题 This question already has answers here : Matplotlib grayscale heatmap with visually distinct “NA” squares fields (2 answers) Closed 3 years ago . I have a numpy array that I need to plot as a heatmap. The numpy array would also contain NaN values which I need to exclude from plotting. I was told in other posts that numpy automatically masks the NaN values in the plot, but its somehow not working for me. Here is a sample code column_labels = list('ABCDEFGH') row_labels = list('WXYZ') fig, ax =

问题 I have (x,y) data in a text file (data.csv) I would like to make into a heat map. X Y -60 -18 60 -62 7 14 -22 -60 59 58 29 22 -58 -18 60 -61 7 14 -21 -59 61 59 29 22 -57 -18 -22 -59 59 60 29 24 -56 -17 61 -60 8 16 -20 -58 62 60 30 23 Ideally I would like to be able to import the text file and save it to a image file (PNG or JPG) that is 450px x 200px. The heat map needs to be more like one you'd find on Google Maps (example here) than a matrix (example here). Thanks in advance. 回答1: If you

问题 I'm using Paul Bleicher's Calendar Heatmap to visualize some events over time and I'm interested to add black-and-white fill patterns instead of (or on top of) the color coding to increase the readability of the Calendar Heatmap when printed in black and white. Here is an example of the Calendar Heatmap look in color, and here is how it look in black and white, it gets very difficult to distinguish between the individual levels in black and white. Is there an easy way to get R to add some

问题 I'm using Seaborn in Python to create a Heatmap. I'm able to annotate the cells with the values passed in, but I'd like to add annotations that signify what the cell means. For example, instead of merely seeing 0.000000 , I'd like to see the corresponding label, for instance "Foo," or 0.000000 (Foo) . The Seaborn documentation for the heatmap function is a bit cryptic with the parameter that I believe is the key here: annot_kws : dict of key, value mappings, optional Keyword arguments for ax

问题 What I'd like to do is take this matrix: > partb 0.5 1.5 1a 1b -2 -3 A1FCLYRBAB430F 0.26 0.00 0.74 0.00 0.00 0.00 A1SO604B523Q68 0.67 0.33 0.00 0.00 0.00 0.00 A386SQL39RBV7G 0.00 0.33 0.33 0.33 0.00 0.00 A3GTXOXRSE74WD 0.41 0.00 0.08 0.03 0.05 0.44 A3OOD9IMOHPPFQ 0.00 0.00 0.33 0.00 0.33 0.33 A8AZ39QM2A9SO 0.13 0.54 0.18 0.13 0.00 0.03 And then make a heatmap that has each of the values in the now colored cells. Making a heatmap is easy: > heatmap( partb, Rowv=NA, Colv=NA, col = heat.colors