heatmap

Add “rgb” legend to R leaflet heatmap

旧城冷巷雨未停 提交于 2020-01-24 05:50:05
问题 I made some interactive heatmaps using leaflet (particularly the addHeatmap() command from the leaflet.extras package) and shiny . Having created a desired map, I would like to add a legend to it. What I am interested in is a "rgb" legend, based on density values deduced by addHeatmap() from pure long/lat coords. What I need is something like this map - https://www.patrick-wied.at/static/heatmapjs/example-legend-tooltip.html - unfortunately I have no knowledge of JS and can't rewrite this

Create heatmap with distribution of attribute values in R (not density heatmap)

霸气de小男生 提交于 2020-01-24 05:36:12
问题 Some of you might have seen Beyond "Soda, Pop, or Coke". I am facing a similar problem and would like to create a plot like that. In my case, I have a very large number of geo-coded observations (over 1 million) and a binary attribute x . I would like to show the distribution of x on a map with a color scale ranging from 0 to 1 for p(x=1). I am open to other approaches but Katz's approach for Beyond "Soda, Pop, or Coke" is described here and uses these packages: fields, maps, mapproj, plyr,

How to create a 3d Heatmap from a discrete data set in Python?

安稳与你 提交于 2020-01-23 03:47:06
问题 I have a large dataset of the form [(X1, Y1, Z1, VALUE1), (X2, Y2, Z2, VALUE2)...]. The geometry of the points is the surface of a cylinder, while there are many discrete points they come nowhere near being a full mesh. I would like to create a basic plot, where each of the points is given an intensity of a color (like a heatmap) based on how high its value is, and then the colors are smoothed to some degree to create a cohesive surface rather than discrete points I am currently using

Calculating heat map colours

丶灬走出姿态 提交于 2020-01-22 20:55:46
问题 I'm working on a heat map made up of an HTML table. This table contains n cells and has a lowest value and a highest value (highest is always higher than lowest). Each cell has a cell value. All these values are ints. Cells with the lowest value are meant to be a light blue, scaling across to the point where the cells with the highest value are a deep red. See gradient below for an ideal range: To calculate the hex colour value of each individual cell, I look at the lowest and highest values

R: ggplot : How do you plot a square-matrix(not symmetric) as a heatmap?

故事扮演 提交于 2020-01-22 12:44:06
问题 The initial square matrix looks like this: [,1] [,2] [,3] [,4] [,5] [,6] [1,] 0.00000000 -0.03071266 -0.05202358 -0.06372259 -0.07458787 -0.09827112 [2,] 0.03071266 0.00000000 -0.02131092 -0.03300993 -0.04387521 -0.06755846 [3,] 0.05202358 0.02131092 0.00000000 -0.01169902 -0.02256430 -0.04624754 [4,] 0.06372259 0.03300993 0.01169902 0.00000000 -0.01086528 -0.03454853 [5,] 0.07458787 0.04387521 0.02256430 0.01086528 0.00000000 -0.02368325 [6,] 0.09827112 0.06755846 0.04624754 0.03454853 0

Setting Midpoint for continuous diverging color scale on a heatmap

我只是一个虾纸丫 提交于 2020-01-21 19:15:11
问题 I need to adjust the midpoint location for a heatmap via ggplot2. I've googled around and have seen scale_fill_gradient2 be a great fit but the colors don't seem to match up to what I'm looking for. I know z needs a range from 0 to 1. Example dataset generation below: library(ggplot2) library(tibble) library(RColorBrewer) set.seed(5) df <- as_tibble(expand.grid(x = -5:5, y = 0:5, z = NA)) df$z <- runif(length(df$z), min = 0, max = 1) I tried plotting with the scale_fill_gradient2 but the blue

Heatmap in matplotlib with pcolor?

Deadly 提交于 2020-01-18 03:42:08
问题 I'd like to make a heatmap like this (shown on FlowingData): The source data is here, but random data and labels would be fine to use, i.e. import numpy column_labels = list('ABCD') row_labels = list('WXYZ') data = numpy.random.rand(4,4) Making the heatmap is easy enough in matplotlib: from matplotlib import pyplot as plt heatmap = plt.pcolor(data) And I even found a colormap arguments that look about right: heatmap = plt.pcolor(data, cmap=matplotlib.cm.Blues) But beyond that, I can't figure

in R how can I color the labels from my phylogenetic tree? (using BioNj from ape)

我与影子孤独终老i 提交于 2020-01-16 06:23:05
问题 So I have a dataset which looks like this: Pos sample_1 sample_2 celltypeX_sample3 celltypeY_sample4 celltypeX_sample5 0 0 0 3 0 1 2 2 1 3 0 0 5 0 0 0 0 1 6 1 0 0 1 0 12 0 1 0 1 1 from this dataset I can calculate a correlation matrix and a heatmap in R with: data = read.table(file = "fileNameX", row.names = 1, header = T, sep = "\t") correlationData = cor(data) heatmap(correlationData, cexRow = 0.25, cexCol = 0.25, symm = T) after this I want to make a phylogenetic tree using the bionj

gnuplot: Heatmap using character combinations

馋奶兔 提交于 2020-01-14 22:54:51
问题 I am currently analysing two character combinations in texts and I want to visualize the frequencies in a heatmap using gnuplot. My input file is in the format (COUNT stands for the actual number of this combination) a a COUNT a b COUNT ... z y COUNT z z COUNT Now I'd like to create a heatmap (like the first one that is shown on this site). On the x axis as well on the y axis I'd like to display the characters from A-Z, i.e. a b ... z a b ... z I am pretty new to gnuplot, so I tried plot

gnuplot: Heatmap using character combinations

喜夏-厌秋 提交于 2020-01-14 22:53:09
问题 I am currently analysing two character combinations in texts and I want to visualize the frequencies in a heatmap using gnuplot. My input file is in the format (COUNT stands for the actual number of this combination) a a COUNT a b COUNT ... z y COUNT z z COUNT Now I'd like to create a heatmap (like the first one that is shown on this site). On the x axis as well on the y axis I'd like to display the characters from A-Z, i.e. a b ... z a b ... z I am pretty new to gnuplot, so I tried plot