heatmap

问题 I have the following heatmap made by Holoviews. I need to change x ticks to change the period of x ticks. [0,2,4,...] instead of [0,1,2,3,4,..] data = [(i, j, i*j) for i in range(10) for j in range(10)] hv.HeatMap(data) Change from this graph To this graph 回答1: It seems that bokeh doesn't provide such function. However you can change the doFormat function of xaxis.formatter before draw the plot. After run the following cell: from bokeh.models import CustomJS import holoviews as hv hv

问题 I'm trying to generate a simple heatmap that has each row and column separated by a black line. However, for some reason this only happens for the first and last color. The middle color in my colorpanel() command has an addition horizontal and vertical line that I would like to get rid off when plotted using heatmap.2() . Any suggestions as to why I see these lines? library(gplots) my.matrix <- cbind(func.1 = c(1,2,2,1,1,3,1,2,3,1,1,2,2,3,1), func.2 = c(2,2,1,1,3,3,1,1,2,2,1,3,3,2,1)) mycol <

问题 Goal: I am trying to modify my Shiny app that previously (for demo purposes) just showed a static image of a PCB with a heatmap generated from pre-loaded data. I would like to now combine this heatmap with a dataset that I choose from my selectInput . So, if I select dataset1 in my selectInput , I want to display the heatmap onto the image for that dataset. And update it if I choose dataset2 , and so on... The locations are pre-determined, so if one of the columns is named Position 1, then I

问题 I'm trying to construct a density heatmap in R, using ggplot2 and stat_density2d . While it does give me a density plot over 2 axes, it produces strange triangular spaces next to the expected heatmap. I'm following this example, hence the following code produces the heatmap itself (without scatter): dfFilter <- data.frame(matrix(runif(2000, 0.0, 1.0),nrow=1000)) # HEATMAP ggplot(dfFilter,aes(x= X1,y= X2))+ stat_density2d(aes(alpha=..level..), geom="polygon") My result looks quite as expected,

问题 I can create and n by n heatmap using the following code, for example let n be 10: random_matrix = np.random.rand(10,10) number = 10 incrmnt = 1.0 x = list(range(1,number +1)) plt.pcolormesh(x, x, random_matrix) plt.colorbar() plt.xlim(1, number) plt.xlabel('Number 1') plt.ylim(1, number) plt.ylabel('Number 2') plt.tick_params( axis = 'both', which = 'both', bottom = 'off', top = 'off', labelbottom = 'off', right = 'off', left = 'off', labelleft = 'off') I would like to add a 2 row heatmap

问题 I am using a Highcharts heatmap and if I disable the legend by setting legend: { enabled: false } the colors used in the chart are different. I am also providing some colorAxis info like a min, max and stops. Here is a fiddle that illustrates the issue I'm having. How can I get Highcharts to use the same colors that it uses when the legend is enabled, but disable the legend? 回答1: It looks like a possibly bug, so I reported that to our developers here: https://github.com/highcharts/highcharts

问题 I'm looking for a charting library that can draw heatmap charts, and has the option of displaying column label text vertically (allowing me to fit lots of columns on the screen regardless of the length of the labels) Ideally the library would be free for a charity/educational organisation. Here's an example of a simple heatmap with vertical labels: That chart was created using FusionCharts, which is not suitable as it is a flash-based product and is expensive to license. 回答1: You could always

问题 I am using Gnuplot 4.6.5 I want to write the z value in a heatmap plot. Here is the code for producing the heatmap: # # Two ways of generating a 2D heat map from ascii data # set title "Heat Map generated from a file containing Z values only" unset key set tic scale 0 # Color runs from white to green set palette rgbformula -7,2,-7 set cbrange [0:5] set cblabel "Score" unset cbtics set xrange [-0.5:1.5] set yrange [-0.5:1.5] set view map plot '-' using 1:2:3 with image 0 0 5 0 1 4 1 0 2 1 1 2

问题 I am trying to generate a heatmap table using ggplot in R . My data looks this: dt <- cbind(rbinom(1:10,100,0.9), rbinom(1:10,100,0.5), rbinom(1:10,100,0.2), rbinom(1:10,100,0.05) colnames(dt) <- c("A","B","C","D") I want to use different gradient colors for each category to emphasize the importance of each value. Since the range of values is large, the smaller number will be colored almost same. That's why, I want to use different colors. My code is here: library(dplyr) library(ggplot2)

问题 I'm having two lists x, y representing coordinates in 2D. For example x = [1,4,0.5,2,5,10,33,0.04] and y = [2,5,44,0.33,2,14,20,0.03] . x[i] and y[i] represent one point in 2D. Now I also have a list representing "heat" values for each (x,y) point, for example z = [0.77, 0.88, 0.65, 0.55, 0.89, 0.9, 0.8,0.95] . Of course x,y and z are much higher dimensional than the example. Now I would like to plot a heat map in 2D where x and y represents the axis coordinates and z represents the color.