heatmap

#include <vector> #include <cmath> #include <boost/tuple/tuple.hpp> #include "gnuplot-iostream.h" int main() { float frame[4][4]; for (int n=0; n<4; n++) { for (int m=0; m<4; m++) { frame[n][m]=n+m; } } Gnuplot gp; gp << "unset key\n"; gp << "set pm3d\n"; gp << "set hidden3d\n"; gp << "set view map\n"; gp << "set xrange [ -0.500000 : 3.50000 ] \n"; gp << "set yrange [ -0.500000 : 3.50000 ] \n"; gp << "splot '-'\n"; gp.send2d(frame); gp.flush(); } This generates me an image: The problem is, that element "frame[0][0]" should be black in this color palette. And I suppose it is black, but the area

I'm trying to plot a heat map in Gnuplot: set view map set size square set cbrange [0:1] splot "input.dat" 1:4:8 w pm3d But I want to skip the rows with the data in the first & fourth column in a particular range without changing xrange and yrange . How can I do that? If you want to skip x values between xmin and xmax , and y values between ymin and ymax you can do a conditional plot: splot "input.dat" u 1:4:( $1 >= xmin && $1 <= xmax && \ $4 >= ymin && $4 <= ymax ? 1/0 : $8 ) w pm3d The code above tells gnuplot to ignore the points outside of range. For instance, I generate the following

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. You could always roll this yourself. Most of the table can be generated using ordinary HTML, with the exception of the

I'm working on mapping a temperature gradient in two dimensions and having a lot of trouble. My current approach is to define an Interpolating Function and then try to graph it a lot of times, then animate that table of graphs. Here's what I have so far: RT = 388.726919 R = 1 FUNC == NDSolve[{D[T[x, y, t], t] == RT*(D[T[x, y, t], x, x] + D[T[x, y, t], y, y]), T[x, y, 0] == 0, T[0, y, t] == R*t, T[9, y, t] == R*t, T[x, 0, t] == R*t, T[x, 9, t] == R*t}, T, {x, 0, 9}, {y, 0, 9}, {t, 0, 6}] So the first two variables just control the rate of change. The equation I'm solving is the basic 2D heat

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? It looks like a possibly bug, so I reported that to our developers here: https://github.com/highcharts/highcharts/issues/5205 Workaround: set tickPositions for colorAxis - http://jsfiddle.net/vLtc1tz6/1/ set to false

Reproducible Data: data(crabs, package = "MASS") df <- crabs[-(1:3)] set.seed(12345) df$GRP <- kmeans(df, 4)$cluster df.order <- dplyr::arrange(df, GRP) Data Description: df has 5 numerical variables. I did the K-means algorithm according to these 5 attributes and produced a new categorical variable GRP which has 4 levels. Next, I ordered it with GRP and named it df.order . What I did with pheatmap : ## 5 numerical variables for coloring colormat <- df.order[c("FL", "RW", "CL", "CW", "BD")] ## Specify the annotation variable `GRP` shown on left side of the heatmap ann_row <- df.order["GRP"] ##

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 e This gives: I want to write the z values in the figure: My actually data is much larger than the

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) library(reshape2) library(scales) dt <- cbind(rbinom(1:10,100,0.9), rbinom(1:10,100,0.5), rbinom(1:10,100,0

I am using corrplot to create a correlation heatmap, but I don't like the default legend - it is too big. So I was trying to use the colorlegend() to add the legend after I create the plot (and disable the default legend with cl.pos="n" ). Only problem is that I can't figure out how to change the position of the legend - it ends up on the lower left. Ideally, I could place it on the top right, but I looked through the options for colorlegend and plot and can't figure this out. For example: # load libraries and create color scale library(corrplot) library(RColorBrewer) scalebluered <-