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color.R
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executable file
·1339 lines (1271 loc) · 61.1 KB
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# This is Adam Haber's set of color functions.
library(colorRamps)
library(RColorBrewer)
# standardise colors
#info("Loading default colors")
default.cols = function(n){
info(sprintf("Getting %s default colors", n))
if(n<=20){
#print(n)
#info("Using 'Kelly' cols")
kelly.cols(n)
}else{
warn("More than 20 requested, using 'Distinct' cols")
distinct.cols(n)
}
}
wyrb.heat = colorRampPalette(c("white", "yellow3", "red2", "black"))(20)
tol14rainbow=c("#882E72", "#B178A6", "#D6C1DE", "#1965B0", "#5289C7", "#7BAFDE", "#4EB265", "#90C987", "#CAE0AB", "#F7EE55", "#F6C141", "#F1932D", "#E8601C", "#DC050C")
tol15rainbow=c("#114477", "#4477AA", "#77AADD", "#117755", "#44AA88", "#99CCBB", "#777711", "#AAAA44", "#DDDD77", "#771111", "#AA4444", "#DD7777", "#771144", "#AA4477", "#DD77AA")
tol18rainbow=c("#771155", "#AA4488", "#CC99BB", "#114477", "#4477AA", "#77AADD", "#117777", "#44AAAA", "#77CCCC", "#777711", "#AAAA44", "#DDDD77", "#774411", "#AA7744", "#DDAA77", "#771122", "#AA4455", "#DD7788")
# ...and finally, the Paul Tol 21-color salute
tol21rainbow= c("#771155", "#AA4488", "#CC99BB", "#114477", "#4477AA", "#77AADD", "#117777", "#44AAAA", "#77CCCC", "#117744", "#44AA77", "#88CCAA", "#777711", "#AAAA44", "#DDDD77", "#774411", "#AA7744", "#DDAA77", "#771122", "#AA4455", "#DD7788")
# Qualitative color schemes by Paul Tol
tol1qualitative=c("#4477AA")
tol2qualitative=c("#4477AA", "#CC6677")
tol3qualitative=c("#4477AA", "#DDCC77", "#CC6677")
tol4qualitative=c("#4477AA", "#117733", "#DDCC77", "#CC6677")
tol5qualitative=c("#332288", "#88CCEE", "#117733", "#DDCC77", "#CC6677")
tol6qualitative=c("#332288", "#88CCEE", "#117733", "#DDCC77", "#CC6677","#AA4499")
tol7qualitative=c("#332288", "#88CCEE", "#44AA99", "#117733", "#DDCC77", "#CC6677","#AA4499")
tol8qualitative=c("#332288", "#88CCEE", "#44AA99", "#117733", "#999933", "#DDCC77", "#CC6677","#AA4499")
tol9qualitative=c("#332288", "#88CCEE", "#44AA99", "#117733", "#999933", "#DDCC77", "#CC6677", "#882255", "#AA4499")
tol10qualitative=c("#332288", "#88CCEE", "#44AA99", "#117733", "#999933", "#DDCC77", "#661100", "#CC6677", "#882255", "#AA4499")
tol11qualitative=c("#332288", "#6699CC", "#88CCEE", "#44AA99", "#117733", "#999933", "#DDCC77", "#661100", "#CC6677", "#882255", "#AA4499")
tol12qualitative=c("#332288", "#6699CC", "#88CCEE", "#44AA99", "#117733", "#999933", "#DDCC77", "#661100", "#CC6677", "#AA4466", "#882255", "#AA4499")
# MONOCHROME PALETTES
# sort(brewer.pal(8,"Greens"))
redmono = c("#99000D", "#CB181D", "#EF3B2C", "#FB6A4A", "#FC9272", "#FCBBA1", "#FEE0D2", "#FFF5F0")
greenmono = c("#005A32", "#238B45", "#41AB5D", "#74C476", "#A1D99B", "#C7E9C0", "#E5F5E0", "#F7FCF5")
bluemono = c("#084594", "#2171B5", "#4292C6", "#6BAED6", "#9ECAE1", "#C6DBEF", "#DEEBF7", "#F7FBFF")
grey8mono = c("#000000","#252525", "#525252", "#737373", "#969696", "#BDBDBD", "#D9D9D9", "#F0F0F0")
grey6mono = c("#242424", "#494949", "#6D6D6D", "#929292", "#B6B6B6", "#DBDBDB")
# EQUAL WEIGHT
# Generated with rainbow(12, s = 0.6, v = 0.75)
rainbow12equal = c("#BF4D4D", "#BF864D", "#BFBF4D", "#86BF4D", "#4DBF4D", "#4DBF86", "#4DBFBF", "#4D86BF", "#4D4DBF", "#864DBF", "#BF4DBF", "#BF4D86")
rainbow10equal = c("#BF4D4D", "#BF914D", "#A8BF4D", "#63BF4D", "#4DBF7A", "#4DBFBF", "#4D7ABF", "#634DBF", "#A84DBF", "#BF4D91")
rainbow8equal = c("#BF4D4D", "#BFA34D", "#86BF4D", "#4DBF69", "#4DBFBF", "#4D69BF", "#864DBF", "#BF4DA3")
rainbow6equal = c("#BF4D4D", "#BFBF4D", "#4DBF4D", "#4DBFBF", "#4D4DBF", "#BF4DBF")
# Generated with package "gplots" function rich.colors(12)
rich12equal = c("#000040", "#000093", "#0020E9", "#0076FF", "#00B8C2", "#04E466", "#49FB25", "#E7FD09", "#FEEA02", "#FFC200", "#FF8500", "#FF3300")
rich10equal = c("#000041", "#0000A9", "#0049FF", "#00A4DE", "#03E070", "#5DFC21", "#F6F905", "#FFD701", "#FF9500", "#FF3300")
rich8equal = c("#000041", "#0000CB", "#0081FF", "#02DA81", "#80FE1A", "#FDEE02", "#FFAB00", "#FF3300")
rich6equal = c("#000043", "#0033FF", "#01CCA4", "#BAFF12", "#FFCC00", "#FF3300")
# Generated with package "fields" function tim.colors(12), which is said to emulate the default matlab colorset
tim12equal = c("#00008F", "#0000EA", "#0047FF", "#00A2FF", "#00FEFF", "#5AFFA5", "#B5FF4A", "#FFED00", "#FF9200", "#FF3700", "#DB0000", "#800000")
tim10equal = c("#00008F", "#0000FF", "#0070FF", "#00DFFF", "#50FFAF", "#BFFF40", "#FFCF00", "#FF6000", "#EF0000", "#800000")
tim8equal = c("#00008F", "#0020FF", "#00AFFF", "#40FFBF", "#CFFF30", "#FF9F00", "#FF1000", "#800000")
tim6equal = c("#00008F", "#005AFF", "#23FFDC", "#ECFF13", "#FF4A00", "#800000")
# Generated with sort(brewer.pal(8,"Dark2")) #Dark2, Set2
dark8equal = c("#1B9E77", "#666666", "#66A61E", "#7570B3", "#A6761D", "#D95F02", "#E6AB02", "#E7298A")
dark6equal = c("#1B9E77", "#66A61E", "#7570B3", "#D95F02", "#E6AB02", "#E7298A")
set8equal = c("#66C2A5", "#8DA0CB", "#A6D854", "#B3B3B3", "#E5C494", "#E78AC3", "#FC8D62", "#FFD92F")
set6equal = c("#66C2A5", "#8DA0CB", "#A6D854", "#E78AC3", "#FC8D62", "#FFD92F")
## from Sam Rs compoHeatMap.R
## Get good colors for use in the heatmap. A wrapper function for
## color.palette(). Allows steps to be rescaled so that middle color
## corresponds to a given value in the range.
### ARGS:
## steps: vector of colors.
### n.steps.between: integer vector of #steps between each color given
## range.val: numeric vector of length 2 giving lower and upper limits
## of range of values that will be plotted;
### mid.val: numeric value in range.val that should be represented by
### the middle index (rounding up) in the steps vector; ignored if
### range.val is NULL.
## n.steps.final: the number of colors desired in the output vector.
### ...: Unspecified arguments are sent to color.palette().
## RETURNS:
### a vector of length n.steps.final.
get.hmap.col <- function(steps=c("blue", "cyan", "yellow", "red"), n.steps.between=c(9,1,10),
range.val=NULL, mid.val=NULL, n.steps.final=30,...) {
if (!is.null(range.val)) {
if (is.null(mid.val)) {
mid.val=(range.val[2]-range.val[1])/2.0
}
mid.index=ceiling(length(n.steps.between)/2)
## fractional steps in the low vs. high ranges
frac.steps.low=n.steps.between[1:mid.index]/sum(n.steps.between[1:mid.index])
frac.steps.high=n.steps.between[(mid.index+1):length(n.steps.between)]/sum(n.steps.between[(mid.index+1):length(n.steps.between)])
## fraction of actual values in the low vs. high ranges
frac.low=(mid.val-range.val[1])/(range.val[2]-range.val[1])
frac.high=(range.val[2]-mid.val)/(range.val[2]-range.val[1])
## Get the right resolution and scale:
## n.steps is the total number of steps that will be used
n.steps=max(255, ceiling(10^abs(log10(min(frac.low*frac.steps.low)))), ceiling(10^abs(log10(min(frac.high*frac.steps.high)))))
## sum(frac.high*frac.steps.high)+sum(frac.low*frac.steps.low) == 1
n.steps.low=round(frac.low*frac.steps.low*n.steps)
n.steps.high=round(frac.high*frac.steps.high*n.steps)
n.steps.between=c(n.steps.low, n.steps.high)
}
hmcol=color.palette(steps=steps, n.steps.between=n.steps.between, ...)(n.steps.final)
return(hmcol)
}
## Wrapper function for colorRampPalette based on
## http://stackoverflow.com/questions/13327326/r-image-function-in-r
## It allows for the definition of the number of intermediate colors
## between the main colors. Using this option, one can stretch out
## colors that should predominate the palette spectrum. Additional
## arguments of colorRampPalette can also be added regarding the type
## and bias of the subsequent interpolation.
### ARGS:
## steps: integer.
### n.steps.between: NULL or integer.
## ...: Unspecified arguments sent to colorRampPalette().
### RETURNS:
## a color palette function, as returned by colorRampPalette.
### Usage:
## Compare pal.1 <- colorRampPalette(c("blue", "cyan", "yellow",
### "red"), bias=1)
## with
### pal.2 <- color.palette(c("blue", "cyan", "yellow", "red"),
### n.steps.between=c(10,1,10))
color.palette <- function(steps, n.steps.between=NULL, ...){
if(is.null(n.steps.between)) n.steps.between <- rep(0, (length(steps)-1))
if(length(n.steps.between) != length(steps)-1) stop("Must have one less n.steps.between value than steps")
fill.steps <- cumsum(rep(1, length(steps))+c(0,n.steps.between))
RGB <- matrix(NA, nrow=3, ncol=fill.steps[length(fill.steps)])
RGB[,fill.steps] <- col2rgb(steps)
for(i in which(n.steps.between>0)){
col.start=RGB[,fill.steps[i]]
col.end=RGB[,fill.steps[i+1]]
for(j in seq(3)){
vals <- seq(col.start[j], col.end[j], length.out=n.steps.between[i]+2)[2:(2+n.steps.between[i]-1)]
RGB[j,(fill.steps[i]+1):(fill.steps[i+1]-1)] <- vals
}
}
new.steps <- rgb(RGB[1,], RGB[2,], RGB[3,], maxColorValue = 255)
pal <- colorRampPalette(new.steps, ...)
return(pal)
}
# https://www.materialui.co/colors
material.cols <- c("#f44336", #red
"#E91E63", #pink
"#9C27B0", #purple
"#673AB7", #deep purple
"#3F51B5", # indigo
"#2196F3", # blue
"#03A9F4", # light blue
"#00BCD4", #cyan
"#009688", # teal
"#4CAF50", #green
"#8BC34A", #light green
"#CDDC39", # lime
"#FFEB3B", #yellow
"#FFC107", # amber
"#FF9800", # organe
"#FF5722", # deep orange
"#795548", #brown
"#9E9E9E", # grey
"#607D8B" #blue grey
)
isc.subset.cols = rev(brewer.pal(3, "Set1")) #colorRampPalette(material.700[9:12])(3)
# reverse engineered from the darksky weather app
darksky <- function(n)
{
colorRampPalette(c(rgb(110/255, 41/255, 132/255, 1), # magenta
rgb(33/255, 46/255, 115/255), # navy
rgb(25/255, 96/255, 155/255), # blue
#rgb(50/255, 150/255, 86/255), # blue 2
rgb(80/255, 170/255, 183/255), # seafoam
rgb(127/255, 200/255, 178/255), # teal
rgb(235/255, 238/255, 207/255), # goldenrod
rgb(246/255, 226/255, 155/255), # light orange
rgb(247/255, 170/255, 86/255), # orange
rgb(240/255, 92/255, 38/255), #scarlet
rgb(142/255, 40/255, 11/255), #maroon
rgb(99/255, 27/255, 7/255)) # deep red
)(n)
}
material.heat <- function(n)
{
mh = c(
#"#607D8B", #blue grey
"#283593", #indigo 800
"#3F51B5", #indigo
"#2196F3", # blue
#"#03A9F4", # light blue
"#00BCD4", #cyan
#"#009688", # teal
"#4CAF50", #green
"#8BC34A", #light green
"#CDDC39", # lime
"#FFEB3B", #yellow
"#FFC107", # amber
"#FF9800", # organe
"#FF5722", # deep orange)
"#f44336")
colorRampPalette(mh)(n)
}
material.heat.new <- function(n)
{
mh = c(
"black",
#"grey10",
"grey20",
"#2D3B79", #blue grey
"#283593", #indigo 800
"#3F51B5", #indigo
"#2196F3", # blue
"#00BCD4", #cyan
"#009688", # teal
"#4CAF50", #green
"#8BC34A", #light green
"#CDDC39", # lime
"#FFEB3B", #yellow
"#FFC107", # amber
"#FF9800", # organe
"#FF5722", # deep orange)
"#f44336")
colorRampPalette(mh)(n)
}
material.700 = c("#d32f2f",
"#C2185B",
"#7B1FA2",
"#512DA8",
"#303F9F",
"#1976D2",
"#0288D1",
"#0097A7",
"#00796B",
"#388E3C",
"#689F38",
"#AFB42B",
"#FBC02D",
"#FFA000",
"#F57C00",
"#E64A19",
"#5D4037",
"#616161",
"#455A64")
material.800.heat <- function(n)
{
m8h = c("#37474F",
"#283593",
"#1565C0",
"#0277BD",
"#00838F",
"#00695C",
"#2E7D32",
"#558B2F",
"#9E9D24",
"#F9A825",
"#FF8F00",
"#EF6C00",
"#D84315")
colorRampPalette(m8h)(n)
}
flat.cols <- function(n)
{
fc = c("#34495e", #wet asphalt
"#9b59b6", #amythest
"#3498db", #peter river
"#2ecc71", # emerald
#"#1abc9c", #turquiose
"#f1c40f", # sunflower
"#e67e22", # carrot
"#e74c3c") # alizarin
#"#ecf0f1", #clouds
#"#95a5a6") # concrete
return(colorRampPalette(fc)(n))
}
heat.cols.adam <- function(n)
{
rev(colorRampPalette(c("honeydew2", "lightgoldenrod1", "darkgoldenrod1", "firebrick1"))(n))
}
hmap.cols <- function(min.val, mid.val, max.val)
{
get.hmap.col(mid.val=mid.val, range.val=c(min.val, max.val),
steps=c("midnightblue", "blue", "cyan", "yellow", "red"),
n.steps.between=c(30, 60, 60, 60))
}
## a combination of set1 and set2 with similar pinks and ugly yellow replaced
brewer16 = c(brewer.pal(9, "Set1"), brewer.pal(7, "Set2"))
brewer16[6] = "khaki2"
brewer16[8] = "lightskyblue2"
brewer20 = c(brewer16, brewer.pal(12, "Set3")[c(3, 9, 8)], "violetred4")
brewer20[3] = brewer.pal(9, "Greens")[7]
brewer20[14] = brewer.pal(9, "Greens")[4]
distinct.cols <- function(n)
{
return (intense.100 [1:n])
}
kelly.cols <- function(n)
{
if(n <= 20)
{
return(kelly[1:n])
}else
{
warn("Only 20 kelly colours available")
return(kelly)
}
}
# cbbPalette <- c("#000000", "#E69F00", "#56B4E9", "#009E73", "#F0E442", "#0072B2", "#D55E00", "#CC79A7")
# color.blind.friendly.cols <- function(n)
# {
# if (n < length(cbbPalette))
# {
# return(cbbPalette[1:n])
# }else
# {
# warn(sprintf("Dont have that many colourblind friendly colours. Returning %s maximally contrasting colors.", n))
# return (c(cbbPalette[1:length(cbbPalette)], cols[1:n-length(cbbPalette)])
# }
# }
intense.cols <-function(n)
{
if (n < length(intense))
{
return(intense[1:n])
}else if( n< length(intense.100))
{
return(intense.100[1:n])
}else
{
warn(sprintf("Dont have that many intense colours. Returning %s maximally contrasting colors.", n))
return (distinct.cols(n))
}
}
intense.100 = c( '#6CC839','#0DA1E8','#F243F5','#3D3D12','#512257','#2BAF98','#E17516',
'#F6A1D7','#4751C5','#D48B79','#025466','#A1AF65','#70091B','#A82F9A','#2F6401',
'#FA3707','#A18D06','#95B0C8','#155D44','#E3A359','#F282F0','#5FC981','#C3051E',
'#5C2D37','#993700','#E11F90','#B3C424','#94A0F5','#07326B','#0499B3','#A977F9',
'#F6774F','#FD7C7E','#A3691D','#B33FCE','#2F3442','#C5AADA','#5485F7','#7B1E52',
'#DC9EB2','#819722','#2176C8','#0E9164','#338D2E','#09602A','#EC61AB','#0B3D37',
'#3B3280','#725515','#7FBAA8','#5C9A18','#611D6E','#F7A77C','#8B0938','#FB1A2A',
'#F59A9E','#95150E','#EF5447','#35B4E5','#FC2C4F','#1D4260','#EB93E2','#6BC968',
'#66CCA2','#1F7684','#C82EB2','#F1905E','#ED127F','#2B4A2F','#7EBCC0','#644037',
'#ACB4DE','#81C1E0','#CCA660','#5B1E3C','#FA3774','#81A200','#7C79EB','#87C875',
'#8F1121','#473142','#DA5BEE','#751D61','#EC63D9','#437C04','#9059DF','#A3B235',
'#56450F','#13A367','#E47EFC','#E1AD4F','#236E42','#3875B8','#1B5118','#3F490F',
'#F1153C','#5A2F29','#0F6050','#1E6976')
# http://tools.medialab.sciences-po.fr/iwanthue/
intense = c("#F41AA7",
"#12802C",
"#F56700",
"#4371B9",
"#5C270E",
"#B9BD09",
"#D99B68",
"#157D71",
"#40334F",
"#D80F35",
"#CFA6DA",
"#B8085C",
"#B633C3",
"#3D4326",
"#6447AD",
"#76B57E",
"#F5A83E",
"#F570BE",
"#851122",
"#31360C")
cols = c(
"#FF34FF", "#FF4A46", "#008941", "#006FA6", "#A30059",
"#5A0007", "#809693", "#1B4400", "#4FC601", "#3B5DFF", "#4A3B53", "#FF2F80",
"#61615A", "#BA0900", "#6B7900", "#00C2A0", "#FFAA92", "#FF90C9", "#B903AA", "#D16100",
"#000035", "#7B4F4B", "#A1C299", "#300018", "#0AA6D8", "#013349", "#00846F",
"#372101", "#FFB500", "#C2FFED", "#A079BF", "#CC0744", "#C0B9B2", "#C2FF99", "#001E09",
"#00489C", "#6F0062", "#0CBD66", "#EEC3FF", "#456D75", "#B77B68", "#7A87A1", "#788D66",
"#885578", "#FAD09F", "#FF8A9A", "#D157A0", "#BEC459", "#456648", "#0086ED", "#886F4C",
"#34362D", "#B4A8BD", "#00A6AA", "#452C2C", "#636375", "#A3C8C9", "#FF913F", "#938A81",
"#575329", "#00FECF", "#B05B6F", "#8CD0FF", "#3B9700", "#04F757", "#C8A1A1", "#1E6E00",
"#7900D7", "#A77500", "#6367A9", "#A05837", "#6B002C", "#772600", "#D790FF", "#9B9700",
"#549E79", "#FFF69F", "#201625", "#72418F", "#BC23FF", "#99ADC0", "#3A2465", "#922329",
"#5B4534", "#FDE8DC", "#404E55", "#0089A3", "#CB7E98", "#A4E804", "#324E72", "#6A3A4C",
"#83AB58", "#001C1E", "#D1F7CE", "#004B28", "#C8D0F6", "#A3A489", "#806C66", "#222800",
"#BF5650", "#E83000", "#66796D", "#DA007C", "#FF1A59", "#8ADBB4", "#1E0200", "#5B4E51",
"#C895C5", "#320033", "#FF6832", "#66E1D3", "#CFCDAC", "#D0AC94", "#7ED379", "#012C58",
"#7A7BFF", "#D68E01", "#353339", "#78AFA1", "#FEB2C6", "#75797C", "#837393", "#943A4D",
"#B5F4FF", "#D2DCD5", "#9556BD", "#6A714A", "#001325", "#02525F", "#0AA3F7", "#E98176",
"#DBD5DD", "#5EBCD1", "#3D4F44", "#7E6405", "#02684E", "#962B75", "#8D8546", "#9695C5",
"#E773CE", "#D86A78", "#3E89BE", "#CA834E", "#518A87", "#5B113C", "#55813B", "#E704C4",
"#00005F", "#A97399", "#4B8160", "#59738A", "#FF5DA7", "#F7C9BF", "#643127", "#513A01",
"#6B94AA", "#51A058", "#A45B02", "#1D1702", "#E20027", "#E7AB63", "#4C6001", "#9C6966",
"#64547B", "#97979E", "#006A66", "#391406", "#F4D749", "#0045D2", "#006C31", "#DDB6D0",
"#7C6571", "#9FB2A4", "#00D891", "#15A08A", "#BC65E9", "#FFFFFE", "#C6DC99", "#203B3C",
"#671190", "#6B3A64", "#F5E1FF", "#FFA0F2", "#CCAA35", "#374527", "#8BB400", "#797868",
"#C6005A", "#3B000A", "#C86240", "#29607C", "#402334", "#7D5A44", "#CCB87C", "#B88183",
"#AA5199", "#B5D6C3", "#A38469", "#9F94F0", "#A74571", "#B894A6", "#71BB8C", "#00B433",
"#789EC9", "#6D80BA", "#953F00", "#5EFF03", "#E4FFFC", "#1BE177", "#BCB1E5", "#76912F",
"#003109", "#0060CD", "#D20096", "#895563", "#29201D", "#5B3213", "#A76F42", "#89412E",
"#1A3A2A", "#494B5A", "#A88C85", "#F4ABAA", "#A3F3AB", "#00C6C8", "#EA8B66", "#958A9F",
"#BDC9D2", "#9FA064", "#BE4700", "#658188", "#83A485", "#453C23", "#47675D", "#3A3F00",
"#061203", "#DFFB71", "#868E7E", "#98D058", "#6C8F7D", "#D7BFC2", "#3C3E6E", "#D83D66",
"#2F5D9B", "#6C5E46", "#D25B88", "#5B656C", "#00B57F", "#545C46", "#866097", "#365D25",
"#252F99", "#00CCFF", "#674E60", "#FC009C", "#92896B")
kelly = c(
"#00538A", # Strong Blue
"#C10020", # Vivid Red
"#007D34", # Vivid Green
"#FFB300", # Vivid Yellow
"#803E75", # Strong Purple
"#FF6800", # Vivid Orange
"#A6BDD7", # Very Light Blue
"#CEA262", # Grayish Yellow
"#817066", # Medium Gray
"#F6768E", # Strong Purplish Pink
"#FF7A5C", # Strong Yellowish Pink
"#53377A", # Strong Violet
"#FF8E00", # Vivid Orange Yellow
"#B32851", # Strong Purplish Red
"#F4C800", # Vivid Greenish Yellow
"#7F180D", # Strong Reddish Brown
"#93AA00", # Vivid Yellowish Green
"#593315", # Deep Yellowish Brown
"#F13A13", # Vivid Reddish Orange
"#232C16" # Dark Olive Green
)
color.kelly <- function(n)
{
if(n < length(kelly))
{
return (sample(kelly, n))
}else{
return (colorRampPalette(kelly)(n))
}
}
# plot some colors
pal <- function(col, border = "light gray", ...)
{
n <- length(col)
plot(0, 0, type="n", xlim = c(0, 1), ylim = c(0, 1),
axes = FALSE, xlab = "", ylab = "", ...)
rect(0:(n-1)/n, 0, 1:n/n, 1, col = col, border = border)
}
rainbow.hcl <- function(n=10)
{
library(colorspace)
rainbow_hcl(n, c = 50, l = 70, start = 0, end = 360*(n-1)/n,
gamma = NULL, fixup = TRUE, alpha = 1)
}
heat.hcl <- function(n=10)
{
library(colorspace)
rev(heat_hcl(n, c = c(80, 30), l = c(30, 90), power = c(1/5, 2)))
}
intense.16 = c("#FFBC6B", "#727EFF", "#8FE300", "#FF075F", "#01EB50", "#9A5D9E", "#F1DE3B", "#85B6FF", "#9A6A0F", "#25D0FF", "#BB4F67", "#00E59F", "#FFC6C7", "#00873A", "#00A1B2",
"#2D8163")
intense.16.2 = toupper(c("#bfca41", "#ab48f9", "#019f25", "#b5318e", "#bf9600", "#0190f3", "#ff8e39", "#eb98ff", "#007a54", "#ff649e", "#94ccc6", "#ca232d", "#bcc0da", "#a9466f", "#bfc68f", "#81624d"))
ad.cubehelix.old <- function(n)
{
library(rje)
cubeHelix(n, gamma = 0.4, hue=1.6, r=-0.9, start = -3)[ceiling(n/10):n]
}
ad.cubehelix <- function(n)
{
library(rje)
cubeHelix(n, gamma = 0.4, hue=1.6, r=-0.9, start = -3)[ceiling(n/10):floor(n*9/10)]
}
distinct.phrogz <- function(n)
{
x = c("#BF3030","#FFA280","#A68A53","#EEF2B6","#00BF80","#206C80","#262A33","#7340FF","#D9A3CE","#331A1A","#B2622D","#FFF240","#829926","#2D594A","#0088CC",
"#535EA6","#655673","#E63995","#A67C7C","#593E2D","#333226","#41F200","#7CA698","#002999","#BFC8FF","#B630BF","#592D3E","#F24100","#F29D3D","#555916",
"#24661A","#3DE6F2","#101D40","#110040","#6D1D73","#66001B")
return(x[1:n])
}
# from python package 'palettable'
cubehelix.classic16 = c('#000000', '#160A22', '#182044', '#103E53',
'#0E5E4A', '#237433', '#507D23', '#8A7A2D', '#BE7555', '#DA7991',
'#DB8ACB', '#CCA7F0', '#BFC9FB', '#C3E5F4', '#DCF6EF', '#FFFFFF')
cubehelix1.16 = c('#000000', '#1B0F00', '#411704', '#681B20',
'#85214B', '#932D7E', '#9042AF', '#8160D2', '#6F83E3',
'#63A6E2', '#65C5D3', '#78DBC2', '#99E9B9', '#C1F0BF', '#E6F5D8', '#FFFFFF')
cubehelix2.16 = c('#000000', '#001C0E', '#00332F', '#07415B',
'#234787', '#4E48A8', '#8148B8', '#B14DB5', '#D65AA5',
'#EB718F', '#EE8E80', '#E6AF7F', '#DBCE90', '#D8E7B2', '#E2F7DB', '#FFFFFF')
jim_special_16 = c('#000000', '#160A22', '#251944', '#2F2B63',
'#34417D', '#375892', '#3B70A0', '#4089A9', '#4AA0AD', '#59B5AF',
'#6DC7B1', '#86D6B4', '#A3E3BD', '#C3EDCB', '#E2F6E1', '#FFFFFF')
perceptual_rainbow_12 = c('#873B61', '#8F489D',
'#7966CF', '#677BDC', '#5492DF', '#45AAD7', '#3BC0C5', '#3CD2AC',
'#47DF91', '#5DE578', '#A1E35F', '#E9D575')
perceptual_rainbow_16 = c('#873B61', '#8F407F', '#8F489D', '#8755B9',
'#7966CF', '#677BDC', '#5492DF', '#45AAD7', '#3BC0C5', '#3CD2AC',
'#47DF91', '#5DE578', '#7CE767', '#A1E35F', '#C6DC64', '#E9D575')
red_16 = c('#000000', '#130C23', '#2C1641', '#49205A',
'#68296B', '#863576', '#A2437C', '#B9537E', '#CC6680',
'#D87C82', '#E19488', '#E5AC93', '#E8C4A4', '#ECDBBD', '#F2EEDB', '#FFFFFF')
matplotlib.magma = c(rgb(0.001462, 0.000466, 0.013866),
rgb(0.002258, 0.001295, 0.018331),
rgb(0.003279, 0.002305, 0.023708),
rgb(0.004512, 0.003490, 0.029965),
rgb(0.005950, 0.004843, 0.037130),
rgb(0.007588, 0.006356, 0.044973),
rgb(0.009426, 0.008022, 0.052844),
rgb(0.011465, 0.009828, 0.060750),
rgb(0.013708, 0.011771, 0.068667),
rgb(0.016156, 0.013840, 0.076603),
rgb(0.018815, 0.016026, 0.084584),
rgb(0.021692, 0.018320, 0.092610),
rgb(0.024792, 0.020715, 0.100676),
rgb(0.028123, 0.023201, 0.108787),
rgb(0.031696, 0.025765, 0.116965),
rgb(0.035520, 0.028397, 0.125209),
rgb(0.039608, 0.031090, 0.133515),
rgb(0.043830, 0.033830, 0.141886),
rgb(0.048062, 0.036607, 0.150327),
rgb(0.052320, 0.039407, 0.158841),
rgb(0.056615, 0.042160, 0.167446),
rgb(0.060949, 0.044794, 0.176129),
rgb(0.065330, 0.047318, 0.184892),
rgb(0.069764, 0.049726, 0.193735),
rgb(0.074257, 0.052017, 0.202660),
rgb(0.078815, 0.054184, 0.211667),
rgb(0.083446, 0.056225, 0.220755),
rgb(0.088155, 0.058133, 0.229922),
rgb(0.092949, 0.059904, 0.239164),
rgb(0.097833, 0.061531, 0.248477),
rgb(0.102815, 0.063010, 0.257854),
rgb(0.107899, 0.064335, 0.267289),
rgb(0.113094, 0.065492, 0.276784),
rgb(0.118405, 0.066479, 0.286321),
rgb(0.123833, 0.067295, 0.295879),
rgb(0.129380, 0.067935, 0.305443),
rgb(0.135053, 0.068391, 0.315000),
rgb(0.140858, 0.068654, 0.324538),
rgb(0.146785, 0.068738, 0.334011),
rgb(0.152839, 0.068637, 0.343404),
rgb(0.159018, 0.068354, 0.352688),
rgb(0.165308, 0.067911, 0.361816),
rgb(0.171713, 0.067305, 0.370771),
rgb(0.178212, 0.066576, 0.379497),
rgb(0.184801, 0.065732, 0.387973),
rgb(0.191460, 0.064818, 0.396152),
rgb(0.198177, 0.063862, 0.404009),
rgb(0.204935, 0.062907, 0.411514),
rgb(0.211718, 0.061992, 0.418647),
rgb(0.218512, 0.061158, 0.425392),
rgb(0.225302, 0.060445, 0.431742),
rgb(0.232077, 0.059889, 0.437695),
rgb(0.238826, 0.059517, 0.443256),
rgb(0.245543, 0.059352, 0.448436),
rgb(0.252220, 0.059415, 0.453248),
rgb(0.258857, 0.059706, 0.457710),
rgb(0.265447, 0.060237, 0.461840),
rgb(0.271994, 0.060994, 0.465660),
rgb(0.278493, 0.061978, 0.469190),
rgb(0.284951, 0.063168, 0.472451),
rgb(0.291366, 0.064553, 0.475462),
rgb(0.297740, 0.066117, 0.478243),
rgb(0.304081, 0.067835, 0.480812),
rgb(0.310382, 0.069702, 0.483186),
rgb(0.316654, 0.071690, 0.485380),
rgb(0.322899, 0.073782, 0.487408),
rgb(0.329114, 0.075972, 0.489287),
rgb(0.335308, 0.078236, 0.491024),
rgb(0.341482, 0.080564, 0.492631),
rgb(0.347636, 0.082946, 0.494121),
rgb(0.353773, 0.085373, 0.495501),
rgb(0.359898, 0.087831, 0.496778),
rgb(0.366012, 0.090314, 0.497960),
rgb(0.372116, 0.092816, 0.499053),
rgb(0.378211, 0.095332, 0.500067),
rgb(0.384299, 0.097855, 0.501002),
rgb(0.390384, 0.100379, 0.501864),
rgb(0.396467, 0.102902, 0.502658),
rgb(0.402548, 0.105420, 0.503386),
rgb(0.408629, 0.107930, 0.504052),
rgb(0.414709, 0.110431, 0.504662),
rgb(0.420791, 0.112920, 0.505215),
rgb(0.426877, 0.115395, 0.505714),
rgb(0.432967, 0.117855, 0.506160),
rgb(0.439062, 0.120298, 0.506555),
rgb(0.445163, 0.122724, 0.506901),
rgb(0.451271, 0.125132, 0.507198),
rgb(0.457386, 0.127522, 0.507448),
rgb(0.463508, 0.129893, 0.507652),
rgb(0.469640, 0.132245, 0.507809),
rgb(0.475780, 0.134577, 0.507921),
rgb(0.481929, 0.136891, 0.507989),
rgb(0.488088, 0.139186, 0.508011),
rgb(0.494258, 0.141462, 0.507988),
rgb(0.500438, 0.143719, 0.507920),
rgb(0.506629, 0.145958, 0.507806),
rgb(0.512831, 0.148179, 0.507648),
rgb(0.519045, 0.150383, 0.507443),
rgb(0.525270, 0.152569, 0.507192),
rgb(0.531507, 0.154739, 0.506895),
rgb(0.537755, 0.156894, 0.506551),
rgb(0.544015, 0.159033, 0.506159),
rgb(0.550287, 0.161158, 0.505719),
rgb(0.556571, 0.163269, 0.505230),
rgb(0.562866, 0.165368, 0.504692),
rgb(0.569172, 0.167454, 0.504105),
rgb(0.575490, 0.169530, 0.503466),
rgb(0.581819, 0.171596, 0.502777),
rgb(0.588158, 0.173652, 0.502035),
rgb(0.594508, 0.175701, 0.501241),
rgb(0.600868, 0.177743, 0.500394),
rgb(0.607238, 0.179779, 0.499492),
rgb(0.613617, 0.181811, 0.498536),
rgb(0.620005, 0.183840, 0.497524),
rgb(0.626401, 0.185867, 0.496456),
rgb(0.632805, 0.187893, 0.495332),
rgb(0.639216, 0.189921, 0.494150),
rgb(0.645633, 0.191952, 0.492910),
rgb(0.652056, 0.193986, 0.491611),
rgb(0.658483, 0.196027, 0.490253),
rgb(0.664915, 0.198075, 0.488836),
rgb(0.671349, 0.200133, 0.487358),
rgb(0.677786, 0.202203, 0.485819),
rgb(0.684224, 0.204286, 0.484219),
rgb(0.690661, 0.206384, 0.482558),
rgb(0.697098, 0.208501, 0.480835),
rgb(0.703532, 0.210638, 0.479049),
rgb(0.709962, 0.212797, 0.477201),
rgb(0.716387, 0.214982, 0.475290),
rgb(0.722805, 0.217194, 0.473316),
rgb(0.729216, 0.219437, 0.471279),
rgb(0.735616, 0.221713, 0.469180),
rgb(0.742004, 0.224025, 0.467018),
rgb(0.748378, 0.226377, 0.464794),
rgb(0.754737, 0.228772, 0.462509),
rgb(0.761077, 0.231214, 0.460162),
rgb(0.767398, 0.233705, 0.457755),
rgb(0.773695, 0.236249, 0.455289),
rgb(0.779968, 0.238851, 0.452765),
rgb(0.786212, 0.241514, 0.450184),
rgb(0.792427, 0.244242, 0.447543),
rgb(0.798608, 0.247040, 0.444848),
rgb(0.804752, 0.249911, 0.442102),
rgb(0.810855, 0.252861, 0.439305),
rgb(0.816914, 0.255895, 0.436461),
rgb(0.822926, 0.259016, 0.433573),
rgb(0.828886, 0.262229, 0.430644),
rgb(0.834791, 0.265540, 0.427671),
rgb(0.840636, 0.268953, 0.424666),
rgb(0.846416, 0.272473, 0.421631),
rgb(0.852126, 0.276106, 0.418573),
rgb(0.857763, 0.279857, 0.415496),
rgb(0.863320, 0.283729, 0.412403),
rgb(0.868793, 0.287728, 0.409303),
rgb(0.874176, 0.291859, 0.406205),
rgb(0.879464, 0.296125, 0.403118),
rgb(0.884651, 0.300530, 0.400047),
rgb(0.889731, 0.305079, 0.397002),
rgb(0.894700, 0.309773, 0.393995),
rgb(0.899552, 0.314616, 0.391037),
rgb(0.904281, 0.319610, 0.388137),
rgb(0.908884, 0.324755, 0.385308),
rgb(0.913354, 0.330052, 0.382563),
rgb(0.917689, 0.335500, 0.379915),
rgb(0.921884, 0.341098, 0.377376),
rgb(0.925937, 0.346844, 0.374959),
rgb(0.929845, 0.352734, 0.372677),
rgb(0.933606, 0.358764, 0.370541),
rgb(0.937221, 0.364929, 0.368567),
rgb(0.940687, 0.371224, 0.366762),
rgb(0.944006, 0.377643, 0.365136),
rgb(0.947180, 0.384178, 0.363701),
rgb(0.950210, 0.390820, 0.362468),
rgb(0.953099, 0.397563, 0.361438),
rgb(0.955849, 0.404400, 0.360619),
rgb(0.958464, 0.411324, 0.360014),
rgb(0.960949, 0.418323, 0.359630),
rgb(0.963310, 0.425390, 0.359469),
rgb(0.965549, 0.432519, 0.359529),
rgb(0.967671, 0.439703, 0.359810),
rgb(0.969680, 0.446936, 0.360311),
rgb(0.971582, 0.454210, 0.361030),
rgb(0.973381, 0.461520, 0.361965),
rgb(0.975082, 0.468861, 0.363111),
rgb(0.976690, 0.476226, 0.364466),
rgb(0.978210, 0.483612, 0.366025),
rgb(0.979645, 0.491014, 0.367783),
rgb(0.981000, 0.498428, 0.369734),
rgb(0.982279, 0.505851, 0.371874),
rgb(0.983485, 0.513280, 0.374198),
rgb(0.984622, 0.520713, 0.376698),
rgb(0.985693, 0.528148, 0.379371),
rgb(0.986700, 0.535582, 0.382210),
rgb(0.987646, 0.543015, 0.385210),
rgb(0.988533, 0.550446, 0.388365),
rgb(0.989363, 0.557873, 0.391671),
rgb(0.990138, 0.565296, 0.395122),
rgb(0.990871, 0.572706, 0.398714),
rgb(0.991558, 0.580107, 0.402441),
rgb(0.992196, 0.587502, 0.406299),
rgb(0.992785, 0.594891, 0.410283),
rgb(0.993326, 0.602275, 0.414390),
rgb(0.993834, 0.609644, 0.418613),
rgb(0.994309, 0.616999, 0.422950),
rgb(0.994738, 0.624350, 0.427397),
rgb(0.995122, 0.631696, 0.431951),
rgb(0.995480, 0.639027, 0.436607),
rgb(0.995810, 0.646344, 0.441361),
rgb(0.996096, 0.653659, 0.446213),
rgb(0.996341, 0.660969, 0.451160),
rgb(0.996580, 0.668256, 0.456192),
rgb(0.996775, 0.675541, 0.461314),
rgb(0.996925, 0.682828, 0.466526),
rgb(0.997077, 0.690088, 0.471811),
rgb(0.997186, 0.697349, 0.477182),
rgb(0.997254, 0.704611, 0.482635),
rgb(0.997325, 0.711848, 0.488154),
rgb(0.997351, 0.719089, 0.493755),
rgb(0.997351, 0.726324, 0.499428),
rgb(0.997341, 0.733545, 0.505167),
rgb(0.997285, 0.740772, 0.510983),
rgb(0.997228, 0.747981, 0.516859),
rgb(0.997138, 0.755190, 0.522806),
rgb(0.997019, 0.762398, 0.528821),
rgb(0.996898, 0.769591, 0.534892),
rgb(0.996727, 0.776795, 0.541039),
rgb(0.996571, 0.783977, 0.547233),
rgb(0.996369, 0.791167, 0.553499),
rgb(0.996162, 0.798348, 0.559820),
rgb(0.995932, 0.805527, 0.566202),
rgb(0.995680, 0.812706, 0.572645),
rgb(0.995424, 0.819875, 0.579140),
rgb(0.995131, 0.827052, 0.585701),
rgb(0.994851, 0.834213, 0.592307),
rgb(0.994524, 0.841387, 0.598983),
rgb(0.994222, 0.848540, 0.605696),
rgb(0.993866, 0.855711, 0.612482),
rgb(0.993545, 0.862859, 0.619299),
rgb(0.993170, 0.870024, 0.626189),
rgb(0.992831, 0.877168, 0.633109),
rgb(0.992440, 0.884330, 0.640099),
rgb(0.992089, 0.891470, 0.647116),
rgb(0.991688, 0.898627, 0.654202),
rgb(0.991332, 0.905763, 0.661309),
rgb(0.990930, 0.912915, 0.668481),
rgb(0.990570, 0.920049, 0.675675),
rgb(0.990175, 0.927196, 0.682926),
rgb(0.989815, 0.934329, 0.690198),
rgb(0.989434, 0.941470, 0.697519),
rgb(0.989077, 0.948604, 0.704863),
rgb(0.988717, 0.955742, 0.712242),
rgb(0.988367, 0.962878, 0.719649),
rgb(0.988033, 0.970012, 0.727077),
rgb(0.987691, 0.977154, 0.734536),
rgb(0.987387, 0.984288, 0.742002),
rgb(0.987053, 0.991438, 0.749504))
matplotlib.inferno <- c(rgb(0.001462, 0.000466, 0.013866),
rgb(0.002267, 0.001270, 0.018570),
rgb(0.003299, 0.002249, 0.024239),
rgb(0.004547, 0.003392, 0.030909),
rgb(0.006006, 0.004692, 0.038558),
rgb(0.007676, 0.006136, 0.046836),
rgb(0.009561, 0.007713, 0.055143),
rgb(0.011663, 0.009417, 0.063460),
rgb(0.013995, 0.011225, 0.071862),
rgb(0.016561, 0.013136, 0.080282),
rgb(0.019373, 0.015133, 0.088767),
rgb(0.022447, 0.017199, 0.097327),
rgb(0.025793, 0.019331, 0.105930),
rgb(0.029432, 0.021503, 0.114621),
rgb(0.033385, 0.023702, 0.123397),
rgb(0.037668, 0.025921, 0.132232),
rgb(0.042253, 0.028139, 0.141141),
rgb(0.046915, 0.030324, 0.150164),
rgb(0.051644, 0.032474, 0.159254),
rgb(0.056449, 0.034569, 0.168414),
rgb(0.061340, 0.036590, 0.177642),
rgb(0.066331, 0.038504, 0.186962),
rgb(0.071429, 0.040294, 0.196354),
rgb(0.076637, 0.041905, 0.205799),
rgb(0.081962, 0.043328, 0.215289),
rgb(0.087411, 0.044556, 0.224813),
rgb(0.092990, 0.045583, 0.234358),
rgb(0.098702, 0.046402, 0.243904),
rgb(0.104551, 0.047008, 0.253430),
rgb(0.110536, 0.047399, 0.262912),
rgb(0.116656, 0.047574, 0.272321),
rgb(0.122908, 0.047536, 0.281624),
rgb(0.129285, 0.047293, 0.290788),
rgb(0.135778, 0.046856, 0.299776),
rgb(0.142378, 0.046242, 0.308553),
rgb(0.149073, 0.045468, 0.317085),
rgb(0.155850, 0.044559, 0.325338),
rgb(0.162689, 0.043554, 0.333277),
rgb(0.169575, 0.042489, 0.340874),
rgb(0.176493, 0.041402, 0.348111),
rgb(0.183429, 0.040329, 0.354971),
rgb(0.190367, 0.039309, 0.361447),
rgb(0.197297, 0.038400, 0.367535),
rgb(0.204209, 0.037632, 0.373238),
rgb(0.211095, 0.037030, 0.378563),
rgb(0.217949, 0.036615, 0.383522),
rgb(0.224763, 0.036405, 0.388129),
rgb(0.231538, 0.036405, 0.392400),
rgb(0.238273, 0.036621, 0.396353),
rgb(0.244967, 0.037055, 0.400007),
rgb(0.251620, 0.037705, 0.403378),
rgb(0.258234, 0.038571, 0.406485),
rgb(0.264810, 0.039647, 0.409345),
rgb(0.271347, 0.040922, 0.411976),
rgb(0.277850, 0.042353, 0.414392),
rgb(0.284321, 0.043933, 0.416608),
rgb(0.290763, 0.045644, 0.418637),
rgb(0.297178, 0.047470, 0.420491),
rgb(0.303568, 0.049396, 0.422182),
rgb(0.309935, 0.051407, 0.423721),
rgb(0.316282, 0.053490, 0.425116),
rgb(0.322610, 0.055634, 0.426377),
rgb(0.328921, 0.057827, 0.427511),
rgb(0.335217, 0.060060, 0.428524),
rgb(0.341500, 0.062325, 0.429425),
rgb(0.347771, 0.064616, 0.430217),
rgb(0.354032, 0.066925, 0.430906),
rgb(0.360284, 0.069247, 0.431497),
rgb(0.366529, 0.071579, 0.431994),
rgb(0.372768, 0.073915, 0.432400),
rgb(0.379001, 0.076253, 0.432719),
rgb(0.385228, 0.078591, 0.432955),
rgb(0.391453, 0.080927, 0.433109),
rgb(0.397674, 0.083257, 0.433183),
rgb(0.403894, 0.085580, 0.433179),
rgb(0.410113, 0.087896, 0.433098),
rgb(0.416331, 0.090203, 0.432943),
rgb(0.422549, 0.092501, 0.432714),
rgb(0.428768, 0.094790, 0.432412),
rgb(0.434987, 0.097069, 0.432039),
rgb(0.441207, 0.099338, 0.431594),
rgb(0.447428, 0.101597, 0.431080),
rgb(0.453651, 0.103848, 0.430498),
rgb(0.459875, 0.106089, 0.429846),
rgb(0.466100, 0.108322, 0.429125),
rgb(0.472328, 0.110547, 0.428334),
rgb(0.478558, 0.112764, 0.427475),
rgb(0.484789, 0.114974, 0.426548),
rgb(0.491022, 0.117179, 0.425552),
rgb(0.497257, 0.119379, 0.424488),
rgb(0.503493, 0.121575, 0.423356),
rgb(0.509730, 0.123769, 0.422156),
rgb(0.515967, 0.125960, 0.420887),
rgb(0.522206, 0.128150, 0.419549),
rgb(0.528444, 0.130341, 0.418142),
rgb(0.534683, 0.132534, 0.416667),
rgb(0.540920, 0.134729, 0.415123),
rgb(0.547157, 0.136929, 0.413511),
rgb(0.553392, 0.139134, 0.411829),
rgb(0.559624, 0.141346, 0.410078),
rgb(0.565854, 0.143567, 0.408258),
rgb(0.572081, 0.145797, 0.406369),
rgb(0.578304, 0.148039, 0.404411),
rgb(0.584521, 0.150294, 0.402385),
rgb(0.590734, 0.152563, 0.400290),
rgb(0.596940, 0.154848, 0.398125),
rgb(0.603139, 0.157151, 0.395891),
rgb(0.609330, 0.159474, 0.393589),
rgb(0.615513, 0.161817, 0.391219),
rgb(0.621685, 0.164184, 0.388781),
rgb(0.627847, 0.166575, 0.386276),
rgb(0.633998, 0.168992, 0.383704),
rgb(0.640135, 0.171438, 0.381065),
rgb(0.646260, 0.173914, 0.378359),
rgb(0.652369, 0.176421, 0.375586),
rgb(0.658463, 0.178962, 0.372748),
rgb(0.664540, 0.181539, 0.369846),
rgb(0.670599, 0.184153, 0.366879),
rgb(0.676638, 0.186807, 0.363849),
rgb(0.682656, 0.189501, 0.360757),
rgb(0.688653, 0.192239, 0.357603),
rgb(0.694627, 0.195021, 0.354388),
rgb(0.700576, 0.197851, 0.351113),
rgb(0.706500, 0.200728, 0.347777),
rgb(0.712396, 0.203656, 0.344383),
rgb(0.718264, 0.206636, 0.340931),
rgb(0.724103, 0.209670, 0.337424),
rgb(0.729909, 0.212759, 0.333861),
rgb(0.735683, 0.215906, 0.330245),
rgb(0.741423, 0.219112, 0.326576),
rgb(0.747127, 0.222378, 0.322856),
rgb(0.752794, 0.225706, 0.319085),
rgb(0.758422, 0.229097, 0.315266),
rgb(0.764010, 0.232554, 0.311399),
rgb(0.769556, 0.236077, 0.307485),
rgb(0.775059, 0.239667, 0.303526),
rgb(0.780517, 0.243327, 0.299523),
rgb(0.785929, 0.247056, 0.295477),
rgb(0.791293, 0.250856, 0.291390),
rgb(0.796607, 0.254728, 0.287264),
rgb(0.801871, 0.258674, 0.283099),
rgb(0.807082, 0.262692, 0.278898),
rgb(0.812239, 0.266786, 0.274661),
rgb(0.817341, 0.270954, 0.270390),
rgb(0.822386, 0.275197, 0.266085),
rgb(0.827372, 0.279517, 0.261750),
rgb(0.832299, 0.283913, 0.257383),
rgb(0.837165, 0.288385, 0.252988),
rgb(0.841969, 0.292933, 0.248564),
rgb(0.846709, 0.297559, 0.244113),
rgb(0.851384, 0.302260, 0.239636),
rgb(0.855992, 0.307038, 0.235133),
rgb(0.860533, 0.311892, 0.230606),
rgb(0.865006, 0.316822, 0.226055),
rgb(0.869409, 0.321827, 0.221482),
rgb(0.873741, 0.326906, 0.216886),
rgb(0.878001, 0.332060, 0.212268),
rgb(0.882188, 0.337287, 0.207628),
rgb(0.886302, 0.342586, 0.202968),
rgb(0.890341, 0.347957, 0.198286),
rgb(0.894305, 0.353399, 0.193584),
rgb(0.898192, 0.358911, 0.188860),
rgb(0.902003, 0.364492, 0.184116),
rgb(0.905735, 0.370140, 0.179350),
rgb(0.909390, 0.375856, 0.174563),
rgb(0.912966, 0.381636, 0.169755),
rgb(0.916462, 0.387481, 0.164924),
rgb(0.919879, 0.393389, 0.160070),
rgb(0.923215, 0.399359, 0.155193),
rgb(0.926470, 0.405389, 0.150292),
rgb(0.929644, 0.411479, 0.145367),
rgb(0.932737, 0.417627, 0.140417),
rgb(0.935747, 0.423831, 0.135440),
rgb(0.938675, 0.430091, 0.130438),
rgb(0.941521, 0.436405, 0.125409),
rgb(0.944285, 0.442772, 0.120354),
rgb(0.946965, 0.449191, 0.115272),
rgb(0.949562, 0.455660, 0.110164),
rgb(0.952075, 0.462178, 0.105031),
rgb(0.954506, 0.468744, 0.099874),
rgb(0.956852, 0.475356, 0.094695),
rgb(0.959114, 0.482014, 0.089499),
rgb(0.961293, 0.488716, 0.084289),
rgb(0.963387, 0.495462, 0.079073),
rgb(0.965397, 0.502249, 0.073859),
rgb(0.967322, 0.509078, 0.068659),
rgb(0.969163, 0.515946, 0.063488),
rgb(0.970919, 0.522853, 0.058367),
rgb(0.972590, 0.529798, 0.053324),