heatmap

问题 I am trying to plot a bunch of thin-plate spline response surfaces for measurements related to two continuous variables plus one discrete variable. So far, I have been subsetting the data based on the discrete variable to generate pairs of plots, but it seems to me there should be a way to create some slick trellised plots instead. It seems like this could be done by faceting heatmaps in ggplot2 with geom_tile and geom_contour , but I am stuck on (1) how to reorganize the data (or interpret

问题 I've generated a heatmap like this: The X-axis and Y-axis labels don't show completely. My code is here: heatmap.2(x,col=blueyelred,colsep=c(1:6),rowsep=(1:62), sepwidth=c(0.05,0.05), sepcolor="white", trace="none", Rowv=F,Colv=F, scale="none", dendrogram="none",key=F, lhei = c(0.05,5),margins=c(1,8)) Is there any way to adjust it. Thanks! Cam 回答1: A few tips: to reduce the font size, use the cexRow and cexCol arguments, e.g. heatmap.2(x, ...., cexRow=0.5) Adjust the values in the hlei and

问题 This question already has answers here : Overlay data onto background image (3 answers) Closed 4 years ago . This question was migrated from Cross Validated because it can be answered on Stack Overflow. Migrated 4 years ago . I have a gif of a human body and need to plot a heat map on it . The data to be used is in R I have found instructions on how to import a gif but it is the getting my data onto the gif that I am unsure of. I presume I would need to put the gif on a grid at first and then

问题 I am using Matplotlib 3D to plot 3 dimensions of my dataset like below: But now I also want to visualize a 4th dimension (which is a scalar value between 0 to 20) as a heatmap. So basically, I want each point to take it's color based on this 4th dimension's value. Is there such a thing exists in Matplotlib? How can I convert a bunch of numbers between [0-20] to heatmap colors? I took the code from here: http://matplotlib.org/mpl_examples/mplot3d/scatter3d_demo.py 回答1: Yes, something like this

问题 I want to plot a paraboloid f(r) = r**2 as a 2D polar heatmap. The output I expect is The code that I have written is from pylab import* from mpl_toolkits.mplot3d import Axes3D ax = Axes3D(figure()) rad=linspace(0,5,100) azm=linspace(0,2*pi,100) r,th=meshgrid(rad,azm) z=(r**2.0)/4.0 subplot(projection="polar") pcolormesh(r,th, z) show() But this program returns the following image. Can someone help? Thank you in advance. 回答1: I think you inadvertently mixed up radius , zenith and azimuth :)

问题 I want to plot a paraboloid f(r) = r**2 as a 2D polar heatmap. The output I expect is The code that I have written is from pylab import* from mpl_toolkits.mplot3d import Axes3D ax = Axes3D(figure()) rad=linspace(0,5,100) azm=linspace(0,2*pi,100) r,th=meshgrid(rad,azm) z=(r**2.0)/4.0 subplot(projection="polar") pcolormesh(r,th, z) show() But this program returns the following image. Can someone help? Thank you in advance. 回答1: I think you inadvertently mixed up radius , zenith and azimuth :)

问题 Does bokeh have a simple way to plot the colorbar for a heatmap? In this example it would be a strip illustrating how colors correspond to values. In matlab, its called a 'colorbar' and looks like this: 回答1: UPDATE: This is now much easier: see http://docs.bokeh.org/en/latest/docs/user_guide/annotations.html#color-bars I'm afraid I don't have a great answer, this should be easier in Bokeh. But I have done something like this manually before. Because I often want these off my plot, I make a

问题 Does bokeh have a simple way to plot the colorbar for a heatmap? In this example it would be a strip illustrating how colors correspond to values. In matlab, its called a 'colorbar' and looks like this: 回答1: UPDATE: This is now much easier: see http://docs.bokeh.org/en/latest/docs/user_guide/annotations.html#color-bars I'm afraid I don't have a great answer, this should be easier in Bokeh. But I have done something like this manually before. Because I often want these off my plot, I make a

问题 I am using simple scheme for plot 2D heat map from my data like this: set pm3d map set pm3d interpolation 5,5 splot "file" Now i need to mark few points on this data, maybe with white color. I tried to do: splot "file"; plot "points" and it's not working and writes: "Can't use pm3d for 2d plots". 回答1: What does the file look like? You can do: splot 'file' with pm3d, 'points' with points linecolor rgb "white" depending on what 'points' looks like though, you might need to add a using

问题 I used geom_tile() for plot 3 variables on the same graph... with tile_ruined_coop<-ggplot(data=df.1[sel1,])+ geom_tile(aes(x=bonus, y=malus, fill=rf/300))+ scale_fill_gradient(name="vr")+ facet_grid(Seuil_out_coop_i ~ nb_coop_init) tile_ruined_coop and I am pleased with the result ! But What kind of statistical treatment is applied to fill ? Is this a mean ? 回答1: To plot the mean of the fill values you should aggregate your values, before plotting. The scale_colour_gradient(...) does not