heatmap

When I put in a matrix M that has dimensions of 634 by 2022, d3heatmap(M) spits out an error that says: all(vapply(s, is.integer, NA)) is not TRUE I debugged it and it led to this line: debug: colClust <- as.hclust(hm$Colv) Why is this? The matrix I pass in is all numeric. 来源： https://stackoverflow.com/questions/30354287/d3heatmap-package-error

I want to generate dynamic heatmap just as below on either canvas or imageview. I looked into google map heat map API, but I can't get the expected output. I think you should go with that github.com/HeartlandSoftware/AndroidHeatMap 来源： https://stackoverflow.com/questions/47072425/android-heatmap-on-canvas-or-imageview

Hi so I have the following commands. To specify a subplot axes in the grid for the heatmap: ax4 = plt.subplot2grid((3, 4), (1, 3), colspan=1, rowspan=1) To create my heatmap in this axes: heatmap = ax4.pcolor(data, cmap=mycm, edgecolors = 'none', picker=True) To move the plot to the right in order to center it in the axes according to other subplots: box = ax4.get_position() ax4.set_position([box.x0*1.05, box.y0, box.width * 1.05, box.height]) To show the colorbar with no padding fig.colorbar(heatmap, orientation="vertical") However this results in: Notice the colorbar is on top of the heatmap

I currently have two large data sets, and I want to compare them. I have them separately, one in red and one in blue, however I would like to show the red and blue side by side. How might I go about this? My current code is: column_labels = list(heatmap_ylabels) row_labels = list(heatmap_xlabels) fig, ax = plt.subplots() heatmap = ax.pcolor(data, cmap=plt.cm.Reds) ax.set_xticks(np.arange(9+0.5)) ax.set_yticks(np.arange(140+0.5)) ax.invert_yaxis() ax.xaxis.tick_top() ax.set_xticklabels(row_labels, minor=False) ax.set_yticklabels(column_labels, minor=False) #plt.show() plt.savefig('n1_heatmap')

I want to generate a heat map image of a floor. I have the following things: A black & white .png image of the floor A three column array stored in Matlab. -- The first two columns indicate the X & Y coordinates of the floorpan image -- The third coordinate denotes the "temperature" of that particular coordinate I want to generate a heat map of the floor that will show the "temperature" strength in those coordinates. However, I want to display the heat map on top of the floor plan so that the viewers can see which rooms lead to which "temperatures". Is there any software that does this job?

I've plotted a heat-map like this: ggplot(test, aes(start1, start2)) + geom_tile(aes(fill = logFC), colour = "gray", size=0.05) + scale_fill_gradientn(colours=c("#0000FF","white","#FF0000"), na.value="#DAD7D3") This plots the upper triangle of a heatmap. What i'd like to plot is the very same triangle, but having the hypotenuse as the x-axis . How would I do that? Edit: Added reproducible example library(ggplot2) # dummy data df1 <- mtcars[, c("gear","carb", "mpg")] # normal tile plot gg1 <- ggplot(df1, aes(gear, carb, fill = mpg)) + geom_tile() + xlim(c(1, 10)) + ylim(c(1, 10)) + theme_void()

I am trying to make a heat map using my data however struggle to code it properly. My matrix is filled with log(x+1) values, this way I don't encounter log(0) errors however due to the nature of my data I have a bunch of 0 values and they mask any sort of trends the heat map could be showing. Because of that I want to colour any 0 values grey or black and then the rest of my data colour along a blue-white-red spectrum. Here is the coding I am using, RHeatmap <- read.delim("~/Desktop/RHeatmap.txt", row.names=1, stringsAsFactors = FALSE) my_palette <- colorRampPalette(c("blue", "white", "red"))