heatmap

问题 This question already has answers here : How to create pre-annotated rowside column in heatmap.2 (2 answers) Closed 2 years ago . I have the following MWE in which I make a heatmap without performing any clustering and showing any dendrogram. I want to group my rows (genes) together in categories, in a better looking way than how it is now. This is the MWE: #MWE library(gplots) mymat <- matrix(rexp(600, rate=.1), ncol=12) colnames(mymat) <- c(rep("treatment_1", 3), rep("treatment_2", 3), rep(

问题 The Problem As I experiment with heatmaps, here's a circular question, with a probably frustratingly obvious answer... I answered a question on plotting a heatmap with dissimilar data using the fields and ggplot2 packages. It basically allows very differently scaled x and y axes to be interpolated with the akima package ready for plotting. Unfortunately, I can't work out a way to relabel the axes so they refer back to the original values. I know it will involve the use of breaks and labels

问题 #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,

问题 I am trying to retrieve the colors of each cell on a matplotlib heatmap, generated by the imshow() function, such as performed by the magic_function below: import matplotlib.pyplot as plt import numpy as np hm = plt.imshow(np.random.rand(10, 10)) color_matrix = hm.magic_function() #returns matrix containing the RGB/Hex values of each cell 回答1: You are looking for the colormap that is used by the image created via imshow . Now of course you can reverse engineer how that colormap got into the

问题 I am working on heat map with a unique dataset. The dataset consists of a symbol. Here is the example of my dataset 1q.txt one two three 2009 0/0 1 0/0 1 0/0 1 2010 0/0 1 0/0 1 0/0 1 2011 0/0 1 0/0 1 6/179.5 1 2012 0/0 1 2/0.4 1 11/83.0 1 2013 7/0.8 1 7/21.3 1 17/268.5 1 2014 1/3.5 1 4/7.7 1 9/37.9 1 and here is my gnuplot script set term pos eps font 20 unset colorbox unset key set nocbtics set cblabel "Score" set cbtics scale 0 set cbrange [ 0.00000 : 110.00000 ] noreverse nowriteback set

问题 I have a graph where the extrapolation does not match the initial interpolation. I would like the heatmap to fill the entire image. First, the interpolation code: library(akima) library(reshape2) xmin <- signif(min(CBLo2$MD1)) xmax <- signif(max(CBLo2$MD1)) ymin <- signif(min(CBLo2$MD2)) ymax <- signif(max(CBLo2$MD2)) gridint <- 100 fld <- with(CBLo2, interp(x = MD1, y = MD2, z = Abundance, xo=seq(xmin, xmax, length=gridint), yo=seq(ymin, ymax, length=gridint) )) df <- melt(fld$z, na.rm =

问题 I want to produce a heat map where with a color pallet of green to red, but values of 0 are in white. I got started with geom_tile heatmap with different high fill colours based on factor and others on SO but can't quite get what I need. For example, with the following database: df <- data.frame(expand.grid(1:10,1:10)) df$z <- sample(0:10, nrow(df), replace=T) I can create this plot: ggplot(df,aes(x = Var1,y = Var2,fill = z)) + geom_tile() + scale_fill_gradient(low = "green", high = "red")

问题 I am trying to draw a heatmap with d3 using data from a csv: this is what I have so far Given a csv file: row,col,score 0,0,0.5 0,1,0.7 1,0,0.2 1,1,0.4 I have an svg and code as follows: <svg id="heatmap-canvas" style="height:200px"></svg> <script> d3.csv("sgadata.csv", function(data) { data.forEach(function(d) { d.score = +d.score; d.row = +d.row; d.col = +d.col; }); //height of each row in the heatmap //width of each column in the heatmap var h = gridSize; var w = gridSize; var rectPadding

问题 I am trying to draw a heatmap with d3 using data from a csv: this is what I have so far Given a csv file: row,col,score 0,0,0.5 0,1,0.7 1,0,0.2 1,1,0.4 I have an svg and code as follows: <svg id="heatmap-canvas" style="height:200px"></svg> <script> d3.csv("sgadata.csv", function(data) { data.forEach(function(d) { d.score = +d.score; d.row = +d.row; d.col = +d.col; }); //height of each row in the heatmap //width of each column in the heatmap var h = gridSize; var w = gridSize; var rectPadding

问题 I have a list of values each with latitude and longitude. I'm looking to create a translucent heatmap image to overlay on Google Maps. I know there are server side and flash based solutions already, but I want to build this in javascript using the canvas tag. However, I can't seem to find a concise description of the algorithm used to turn coordinates and values into a heatmap. Can anyone provide or link to one? Thanks. 回答1: The basic idea would be to create a grid and project every lat,lng