Yahoo Web Search

Search results

1. Images

   • 
   • 
   • 
   • 
   • 

   View all

2. Top results related to wes anderson color palette r

   • R color palette not printing the assigned colors

     Top Answer

     Answered Aug 18, 2015 · 0 votes

     Ok so it looks like that the problem is in the following section:

     jonzo<-cbind(data,jcolor)-

     This reads the color code #FF0000 from the column bound files. If you simply read the color code from the the jcolor object then it works and the following image is produced:

     Here is the adjusted code for those interested:

     ### Read in Datadata<-read.table("stack_eg.txt",header=TRUE,sep="\t")-### Order Setdata Objectdata<-data[order(data$sm,decreasing=T),]-### Setup Plot Spaceplot(1, type="n", axes=T, xlab="X", ylab="Y",ylim=c(1,6),xlim=c(0,142000000))-### Color setuprbPal <- colorRampPalette(c('red','white','blue'))jcolor<-rbPal(6)-### Plot datafor(l in 1:nrow(jonzo)){ startpos<-jonzo$Start[l] endpos<-jonzo$End[l] segments(startpos,2,endpos,2,col=jcolor[l])}-

     Check all answers on Stack Overflow

     1/5

   • R center color palette on 0

     Top Answer

     Answered May 23, 2017 · 4 votes

     Using this answer: https://stackoverflow.com/a/10986203/4632634, I was able to get what I needed for my problem.

     library(raster)library(RColorBrewer)-xmin = -124.413xmax = -66.883ymin = 25.9425ymax = 48.9885nrows = 215ncols = 254empty_raster = raster(xmn=xmin, ymn=ymin, nrows = nrows, ncols = ncols)zscores_coords = cbind(seq(from=-124.413, to=-66.883, length.out=1212), seq(from=25.9425, to=48.9885, length.out=1212))zscores_raster = rasterize(zscores_coords, empty_raster, field = 1)x_coord_raster = rasterize(zscores_coords, zscores_raster, field=zscores_coords[,1])y_coord_raster = rasterize(zscores_coords, zscores_raster, field=zscores_coords[,2])BUD_zscores_coordinates = data.frame(x = zscores_coords[,1], y = zscores_coords[,2], BUD_zscores = seq(from=-20.51558, to=14.34510, length.out=1212))coordinates(BUD_zscores_coordinates) = ~x+yzscores_pres = rasterize(BUD_zscores_coordinates, zscores_raster, field=1)zscores_points = rasterToPoints(zscores_pres)zscores_points = zscores_points[,c(1:2)]zscores_nodes = rasterize(BUD_zscores_coordinates, empty_raster, field = BUD_zscores_coordinates$BUD_zscores, fun = mean)zscores_stack = stack(zscores_nodes, zscores_raster, x_coord_raster, y_coord_raster)zscores_table = extract(zscores_stack, zscores_points)#Plot! (bluer = flyway zscores > eBird szcores; red = eBird zscores > #flyway zscores)nHalf = nrow(zscores_table)/2Min = min(zscores_table[,1])Max = max(zscores_table[,1])Thresh = 0## Make vector of colors for values below thresholdrc1 = colorRampPalette(colors = c("red", "white"), space="Lab")(nHalf) ## Make vector of colors for values above thresholdrc2 = colorRampPalette(colors = c("white", "blue"), space="Lab")(nHalf)rampcols = c(rc1, rc2)## In your example, this line sets the color for values between 49 and 51. rampcols[c(nHalf, nHalf+1)] = rgb(t(col2rgb("white")), maxColorValue=256) rb1 = seq(Min, Thresh, length.out=nHalf+1)rb2 = seq(Thresh, Max, length.out=nHalf+1)[-1]rampbreaks = c(rb1, rb2)r.range = c(Min, Max)plot(zscores_nodes, xlim = c(xmin, xmax), ylim = c(ymin, ymax), col = rampcols, breaks=rampbreaks, legend.width = 1, legend.shrink = 0.75, axis.args=list(at=c(-20, 0, 14), labels=c(-20, 0, 14), cex.axis=0.6), legend.args=list(text='Z-Score', side=4, font=2, line=2.5, cex=0.8))

     Yielding this:

     Where 0 is nicely centered on the white zone.

     Check all answers on Stack Overflow

     2/5

   • R ggplot: Modifying aesthetics of individual lines without recreating entire color palette

     Top Answer

     Answered Feb 08, 2022 · 3 votes

     You could just use the first four characters of name for the colour aesthetic (using substr), and the full name as a group aesthetic. It's a bit hacky but it's short, effective, and all gets done in the plotting code without extra data wrangling, post-hoc changes or a long vector of colour mappings.

     df_long %>% ggplot(aes(x = time, y = value, color = substr(name, 1, 4), group = name)) + geom_line() + scale_color_manual(labels = c("actual", "boot", "estimate"), values = c("orange", "gray", "blue3"), name = "name")

     An alternative is using filtering to have two sets of lines: one coloured, and one merely grouped. This has the benefit that you don't need to add any scale calls at all:

     df_long %>% filter(!grepl("boot", name)) %>% ggplot(aes(x = time, y = value, color = name)) + geom_line(data = filter(df_long, grepl("boot", name)), aes(group = name), color = "gray", size = 0.3) + geom_line()

     EDIT

     It's pretty difficult to only specify an aesthetic mapping for a single (multiple) group, while leaving the others at default values. However, it is possible using ggnewscale. Here we only have to specify the color of the boot group:

     library(ggnewscale)-df_long %>% filter(!grepl("boot", name)) %>% ggplot(aes(x = time, y = value)) + new_scale_color() + geom_line(aes(color = name)) + scale_color_discrete(name = "Variable") + new_scale_color() + geom_line(data = filter(df_long, grepl("boot", name)), aes(group = name, color = "boot"), size = 0.3) + scale_color_manual(values = "gray", name = "") + theme(legend.margin = margin(-28, 10, 0, 0))

     Check all answers on Stack Overflow

     3/5

   • Color Palette Algorithm to output a grid of colors from red'ish to blue'ish

     Top Answer

     Answered Dec 01, 2016 · 1 votes

     Note I'd recommend using Rectangles instead of Labels.

     Furthermore hsb values seem to be more appropriate:

     • Every column has the same hue
     • The first half of a column the brightness increases, but the saturation remains at 1
     • the second half of the column the brightness remains at 1, but the saturation is decreased from 1 to 0

     The last column is an exception since it displays only grayscale with increasing brightness.

     The following code allows you to create the palette (or at least comes sufficiently close):

     @Overridepublic void start(Stage primaryStage) { GridPane gridPane = new GridPane(); gridPane.setHgap(4); gridPane.setVgap(4); final int columns = 12; final int rows = 10; final int fullBrightness = (rows - 1) / 2; final int columnCount = columns - 1; // fill upper half with full saturation but increasing brightness for (int y = 0; y <= fullBrightness; y++) { double brightness = y / (double) fullBrightness; for (int x = 0; x < columnCount; x++) { Rectangle rect = new Rectangle(15, 15, Color.hsb(x * (360d / (columns - 1)), 1, brightness)); rect.setStroke(Color.BLACK); gridPane.add(rect, x, y); } } // fill lower half with full brightness but decreasing saturation for (int y = fullBrightness + 1; y < rows; y++) { double saturation = 1 - ((double) (y - fullBrightness)) / (columns - 1 - fullBrightness); for (int x = 0; x < columnCount; x++) { Rectangle rect = new Rectangle(15, 15, Color.hsb(x * (360d / (columns - 1)), saturation, 1)); rect.setStroke(Color.BLACK); gridPane.add(rect, x, y); } } // fill last column with grayscale for (int y = 0, maxIndex = rows - 1; y < rows; y++) { Rectangle rect = new Rectangle(15, 15, Color.hsb(0, 0, y / (double) maxIndex)); rect.setStroke(Color.BLACK); gridPane.add(rect, columnCount, y); } Scene scene = new Scene(gridPane); primaryStage.setScene(scene); primaryStage.show();}

     Check all answers on Stack Overflow

     4/5

   • color palette in seaborn heatmap

     Top Answer

     Answered Aug 27, 2020 · 1 votes

     To achieve the described color segmentation, you could combine LinearSegmentedColormap.from_list('', colors, len(colors))

     with a BoundaryNorm

     . Note that you need 6 boundaries for 5 colors.

     Working with (value, color) pairs for LinearSegmentedColormap seems a bit cumbersome, as the values need to normalized to go strictly from 0 to 1. This would be more suited if case you need a continuous range of colors and want to set a specific color at a specific position (not at a specific range).

     from matplotlib import pyplot as pltfrom matplotlib.colors import LinearSegmentedColormap, BoundaryNormimport numpy as npbounds = [-1, -0.5, -0.15, 0.15, 0.5, 1]colors = ['crimson', 'brown', 'lime', 'brown', 'crimson']cmap = LinearSegmentedColormap.from_list('', colors, N=len(colors))norm = BoundaryNorm(bounds, ncolors=len(colors), )x = np.random.uniform(0, 1, 100)y = np.random.uniform(-1, 1, 100)plt.scatter(x, y, c=y, cmap=cmap, norm=norm)plt.colorbar()plt.show()

     Note that you can use plt.colorbar(spacing='proportional') to display larger chunks of color for the larger ranges. The default is spacing='uniform' with equal space for each color.

     PS: About the new question, a custom smooth colormap could be created with the (value, color) list for LinearSegmentedColormap and setting extra boundaries.

     from matplotlib import pyplot as pltfrom matplotlib.colors import LinearSegmentedColormapimport numpy as npbounds = [-1, -0.5, -0.499, -0.15, -0.149, 0.0, 0.149, 0.15, 0.499, 0.5, 1]colors = ['crimson', 'crimson', 'brown', 'brown', 'limegreen', 'lime', 'limegreen', 'brown', 'brown', 'crimson', 'crimson']norm = plt.Normalize(bounds[0], bounds[-1])cmap = LinearSegmentedColormap.from_list('', [(norm(b), c) for b, c in zip(bounds, colors)], N=256)x = np.random.uniform(0, 1, 100)y = np.random.uniform(-1, 1, 100)plt.scatter(x, y, c=y, cmap=cmap, norm=norm)plt.colorbar()plt.show()

     Check all answers on Stack Overflow

     5/5

   Show moreShow less

3. github.com › karthik › wesandersonGitHub - karthik/wesanderson: A Wes Anderson color palette for R

   github.com › karthik › wesanderson

   • Cached

   A R package that provides color palettes inspired by the films of Wes Anderson, the director of Bottle Rocket, Rushmore, The Grand Budapest Hotel and more. See how to install, use and customize the palettes for your plots, and explore the publications that used them.

   • Issues 11

     Issues 11 - GitHub - karthik/wesanderson: A Wes Anderson...

   • Pull requests 5

     Pull requests 5 - GitHub - karthik/wesanderson: A Wes...

   • Actions

     Actions - GitHub - karthik/wesanderson: A Wes Anderson color...

   • Security

     Write better code with AI Code review. Manage code changes

   • Insights

     We would like to show you a description here but the site...

4. rforpoliticalscience.com › 2020/07/26 › make-wesMake Wes Anderson themed graphs with wesanderson package in R

   rforpoliticalscience.com › 2020/07/26 › make-wes

   Jul 26, 2020 · choose the Wes Anderson color scheme you want to use and create a palette object. add the graph object and and the palette object and behold your beautiful data. wes_palette (name, n, type = c ("discrete", "continuous")) To generate a vector of colors, the wes_palette () function requires: name: Name of desired palette.

5. stackoverflow.com › questions › 61162451r - How do I add Wes Anderson Colors to my GGPlot? - Stack ...

   stackoverflow.com › questions › 61162451

   • Cached

   1. I'd like to use the "GrandBudapest1" palette from the wesanderson package. I'm working on a graph that has 20 discrete values, but the palette only has 9 colors. The docs say that I can create more colors with this code: pal <- wes_palette(21, name = "GrandBudapest1", type = "continuous")

   Code sample

   library(wesanderson)

   library(ggplot2)

   ggplot(tdf_winners, aes(x = edition, y = time_overall, fill = winner_name_lbl)) + geom_col() +

     scale_fill_manual(values = wes_palette(21, name = "GrandBudapest1", type = "continuous"), name = "") +

     theme(legend.position="bottom")

   See more on stackoverflow

6. Videos

   • 

     0:44

     youtube.com

     How To Get The Wes Anderson Look: A Guide To Color Theory, Palette, And Grading For Filmmakers ​

     Jul 22, 2023

     594 Views

   • 

     9:00

     youtube.com

     Color Theory and Wes Anderson's Style — Sad Characters in a Colorful World

     Sep 7, 2020

     323.6K Views

   • 

     5:23

     youtube.com

     RStudio ggplot tutorial Wes Anderson Color Palettes! (ggplot custom color tutorial)

     Nov 3, 2021

     1.4K Views

   View all

7. github.com › wesanderson › blobwesanderson/R/colors.R at master · karthik/wesanderson · GitHub

   github.com › wesanderson › blob

   • Cached

   colors.R. #' Use \code {\link {wes_palette}} to construct palettes of desired length. #' These are a handful of color palettes from Wes Anderson movies. #' @param n Number of colors desired. Unfortunately most palettes now only. #' have 4 or 5 colors. But hopefully we'll add more palettes soon.

8. www.rdocumentation.org › 0 › topicswes_palette function - RDocumentation

   www.rdocumentation.org › 0 › topics

   • Cached

   This function returns a vector of colours from various Wes Anderson movies. You can choose the name, number and type of the palette, and see examples of how to use it in graphics.

9. rbasics.org › packages › wesanderson-package-in-rThe Ultimate Guide to the wesanderson Package in R

   rbasics.org › packages › wesanderson-package-in-r

   • Cached

   Basic details. Title: A Wes Anderson Palette Generator. Description: Palettes generated mostly from 'Wes Anderson' movies. Author: Karthik Ram [aut, cre] (), Hadley Wickham [aut], Clark Richards [ctb], Aaron Baggett [ctb] Maintainer: Karthik Ram. Key features. Functions: Functions play a crucial role in R packages.

10. www.r-bloggers.com › 2022 › 07Colorful R Plots with Wes Anderson Palettes – Pirate Ships

    www.r-bloggers.com › 2022 › 07

    • Cached

    Jul 8, 2022 · In order to use the Wes Anderson color palette with our data, we need to use the wes_palette and scale_color_gradientn commands with ggplot, aes, and geom_point. You can use the ? operator to look at the manual for the functions, for example with scale_color_gradientn .