Colorschemes

Plots supports all colorschemes from ColorSchemes.jl. They can be used as a gradient or as a palette and are passed as a symbol holding their name to cgrad or palette.

plot(
    [x -> sin(x - a) for a in range(0, π / 2, length = 5)], 0, 2π;
    palette = :Dark2_5,
)
function f(x, y)
    r = sqrt(x^2 + y^2)
    return cos(r) / (1 + r)
end
x = range(0, 2π, length = 30)
heatmap(x, x, f, c = :thermal)

ColorPalette

Plots chooses colors for series automatically from the palette passed to the color_palette attribute. The attribute accepts symbols of colorscheme names or ColorPalette objects. Color palettes can be constructed with palette(cs, [n]) where cs can be a Symbol, a vector of colors, a ColorScheme, ColorPalette or ColorGradient. The optional argument n decides how many colors to choose from cs.

palette(:tab10)
palette([:purple, :green], 7)

ColorGradient

For heatmap, surface, contour or line_z, marker_z and line_z Plots.jl chooses colors from a ColorGradient. If not specified, the default ColorGradient :inferno is used. A different gradient can be selected by passing a symbol for a colorscheme name to the seriescolor attribute. For more detailed configuration, the color attributes also accept a ColorGradient object. Color gradients can be constructed with

cgrad(cs, [z], alpha = nothing, rev = false, scale = nothing, categorical = nothing)

where cs can be a Symbol, a vector of colors, a ColorScheme, ColorPalette or ColorGradient.

cgrad(:acton)

You can pass a vector of values between 0 and 1 as second argument to specify positions of color transitions.

cgrad([:orange, :blue], [0.1, 0.3, 0.8])

With rev = true the colorscheme colors are reversed.

cgrad(:thermal, rev = true)

Setting categorical = true returns a CategoricalColorGradient that only chooses from a discrete set of colors without interpolating continuously. The optional second argument determines how many colors to choose from the colorscheme. They are distributed uniformly along the colorscheme colors.

cgrad(:matter, 5, categorical = true)

Categorical gradients also accept a vector for positions of color transitions and can be reversed.

cgrad(:matter, [0.1, 0.3, 0.8], rev = true, categorical = true)

The distribution of color selection can be scaled with the scale keyword argument which accepts :log, :log10, :ln, :log2, :exp or a function to be applied on the color position values between 0 and 1.

cgrad(:roma, scale = :log)

Categorical gradients can also be scaled.

cgrad(:roma, 10, categorical = true, scale = :exp)

Pre-defined ColorSchemes

misc

These colorschemes are not defined or provide different colors in ColorSchemes.jl They are kept for compatibility with Plots behavior before v1.1.0.

NamePaletteGradient
:default
:blues
:bluesreds
:darkrainbow
:darktest
:grays
:greens
:heat
:lightrainbow
:lighttest
:rainbow
:reds
:redsblues

The following colorschemes are defined by ColorSchemes.jl.

cmocean

NamePaletteGradient
:algae
:amp
:balance
:curl
:deep
:delta
:dense
:grays
:haline
:ice
:matter
:oxy
:phase
:solar
:speed
:tempo
:thermal
:turbid

scientific

NamePaletteGradient
:acton
:acton10
:acton100
:acton25
:acton50
:actonS
:bam
:bam10
:bam100
:bam25
:bam50
:bamO
:bamO10
:bamO100
:bamO25
:bamO50
:bamako
:bamako10
:bamako100
:bamako25
:bamako50
:bamakoS
:batlow
:batlow10
:batlow100
:batlow25
:batlow50
:batlowK
:batlowK10
:batlowK100
:batlowK25
:batlowK50
:batlowKS
:batlowS
:batlowW
:batlowW10
:batlowW100
:batlowW25
:batlowW50
:batlowWS
:berlin
:berlin10
:berlin100
:berlin25
:berlin50
:bilbao
:bilbao10
:bilbao100
:bilbao25
:bilbao50
:bilbaoS
:broc
:broc10
:broc100
:broc25
:broc50
:brocO
:brocO10
:brocO100
:brocO25
:brocO50
:buda
:buda10
:buda100
:buda25
:buda50
:budaS
:bukavu
:bukavu10
:bukavu100
:bukavu25
:bukavu50
:cork
:cork10
:cork100
:cork25
:cork50
:corkO
:corkO10
:corkO100
:corkO25
:corkO50
:davos
:davos10
:davos100
:davos25
:davos50
:davosS
:devon
:devon10
:devon100
:devon25
:devon50
:devonS
:fes
:fes10
:fes100
:fes25
:fes50
:grayC
:grayC10
:grayC100
:grayC25
:grayC50
:grayCS
:hawaii
:hawaii10
:hawaii100
:hawaii25
:hawaii50
:hawaiiS
:imola
:imola10
:imola100
:imola25
:imola50
:imolaS
:lajolla
:lajolla10
:lajolla100
:lajolla25
:lajolla50
:lajollaS
:lapaz
:lapaz10
:lapaz100
:lapaz25
:lapaz50
:lapazS
:lisbon
:lisbon10
:lisbon100
:lisbon25
:lisbon50
:nuuk
:nuuk10
:nuuk100
:nuuk25
:nuuk50
:nuukS
:oleron
:oleron10
:oleron100
:oleron25
:oleron50
:oslo
:oslo10
:oslo100
:oslo25
:oslo50
:osloS
:roma
:roma10
:roma100
:roma25
:roma50
:romaO
:romaO10
:romaO100
:romaO25
:romaO50
:tofino
:tofino10
:tofino100
:tofino25
:tofino50
:tokyo
:tokyo10
:tokyo100
:tokyo25
:tokyo50
:tokyoS
:turku
:turku10
:turku100
:turku25
:turku50
:turkuS
:vanimo
:vanimo10
:vanimo100
:vanimo25
:vanimo50
:vik
:vik10
:vik100
:vik25
:vik50
:vikO
:vikO10
:vikO100
:vikO25
:vikO50

matplotlib

NamePaletteGradient
:Wistia
:autumn1
:binary
:bone
:bone_1
:brg
:bwr
:cool
:coolwarm
:copper
:flag
:gist_earth
:gist_gray
:gist_heat
:gist_ncar
:gist_rainbow
:gist_stern
:gist_yarg
:gray1
:hot
:hsv
:inferno
:jet1
:magma
:nipy_spectral
:pink
:plasma
:prism
:seismic
:spring
:summer
:tab10
:tab20
:tab20b
:tab20c
:terrain
:twilight
:viridis
:winter

colorbrewer

NamePaletteGradient
:Accent_3
:Accent_4
:Accent_5
:Accent_6
:Accent_7
:Accent_8
:Blues
:Blues_3
:Blues_4
:Blues_5
:Blues_6
:Blues_7
:Blues_8
:Blues_9
:BrBG_10
:BrBG_11
:BrBG_3
:BrBG_4
:BrBG_5
:BrBG_6
:BrBG_7
:BrBG_8
:BrBG_9
:BrBg
:BuGn
:BuGn_3
:BuGn_4
:BuGn_5
:BuGn_6
:BuGn_7
:BuGn_8
:BuGn_9
:BuPu
:BuPu_3
:BuPu_4
:BuPu_5
:BuPu_6
:BuPu_7
:BuPu_8
:BuPu_9
:Dark2_3
:Dark2_4
:Dark2_5
:Dark2_6
:Dark2_7
:Dark2_8
:GnBu
:GnBu_3
:GnBu_4
:GnBu_5
:GnBu_6
:GnBu_7
:GnBu_8
:GnBu_9
:Greens
:Greens_3
:Greens_4
:Greens_5
:Greens_6
:Greens_7
:Greens_8
:Greens_9
:Greys
:Greys_3
:Greys_4
:Greys_5
:Greys_6
:Greys_7
:Greys_8
:Greys_9
:OrRd
:OrRd_3
:OrRd_4
:OrRd_5
:OrRd_6
:OrRd_7
:OrRd_8
:OrRd_9
:Oranges
:Oranges_3
:Oranges_4
:Oranges_5
:Oranges_6
:Oranges_7
:Oranges_8
:Oranges_9
:PRGn
:PRGn_10
:PRGn_11
:PRGn_3
:PRGn_4
:PRGn_5
:PRGn_6
:PRGn_7
:PRGn_8
:PRGn_9
:Paired_10
:Paired_11
:Paired_12
:Paired_3
:Paired_4
:Paired_5
:Paired_6
:Paired_7
:Paired_8
:Paired_9
:Pastel1_3
:Pastel1_4
:Pastel1_5
:Pastel1_6
:Pastel1_7
:Pastel1_8
:Pastel1_9
:Pastel2_3
:Pastel2_4
:Pastel2_5
:Pastel2_6
:Pastel2_7
:Pastel2_8
:PiYG
:PiYG_10
:PiYG_11
:PiYG_3
:PiYG_4
:PiYG_5
:PiYG_6
:PiYG_7
:PiYG_8
:PiYG_9
:PuBu
:PuBuGn
:PuBuGn_3
:PuBuGn_4
:PuBuGn_5
:PuBuGn_6
:PuBuGn_7
:PuBuGn_8
:PuBuGn_9
:PuBu_3
:PuBu_4
:PuBu_5
:PuBu_6
:PuBu_7
:PuBu_8
:PuBu_9
:PuOr
:PuOr_10
:PuOr_11
:PuOr_3
:PuOr_4
:PuOr_5
:PuOr_6
:PuOr_7
:PuOr_8
:PuOr_9
:PuRd
:PuRd_3
:PuRd_4
:PuRd_5
:PuRd_6
:PuRd_7
:PuRd_8
:PuRd_9
:Purples
:Purples_3
:Purples_4
:Purples_5
:Purples_6
:Purples_7
:Purples_8
:Purples_9
:RdBu
:RdBu_10
:RdBu_11
:RdBu_3
:RdBu_4
:RdBu_5
:RdBu_6
:RdBu_7
:RdBu_8
:RdBu_9
:RdGy
:RdGy_10
:RdGy_11
:RdGy_3
:RdGy_4
:RdGy_5
:RdGy_6
:RdGy_7
:RdGy_8
:RdGy_9
:RdPu
:RdPu_3
:RdPu_4
:RdPu_5
:RdPu_6
:RdPu_7
:RdPu_8
:RdPu_9
:RdYlBu
:RdYlBu_10
:RdYlBu_11
:RdYlBu_3
:RdYlBu_4
:RdYlBu_5
:RdYlBu_6
:RdYlBu_7
:RdYlBu_8
:RdYlBu_9
:RdYlGn
:RdYlGn_10
:RdYlGn_11
:RdYlGn_3
:RdYlGn_4
:RdYlGn_5
:RdYlGn_6
:RdYlGn_7
:RdYlGn_8
:RdYlGn_9
:Reds
:Reds_3
:Reds_4
:Reds_5
:Reds_6
:Reds_7
:Reds_8
:Reds_9
:Set1_3
:Set1_4
:Set1_5
:Set1_6
:Set1_7
:Set1_8
:Set1_9
:Set2_3
:Set2_4
:Set2_5
:Set2_6
:Set2_7
:Set2_8
:Set3_10
:Set3_11
:Set3_12
:Set3_3
:Set3_4
:Set3_5
:Set3_6
:Set3_7
:Set3_8
:Set3_9
:Spectral
:Spectral_10
:Spectral_11
:Spectral_3
:Spectral_4
:Spectral_5
:Spectral_6
:Spectral_7
:Spectral_8
:Spectral_9
:YlGn
:YlGnBu
:YlGnBu_3
:YlGnBu_4
:YlGnBu_5
:YlGnBu_6
:YlGnBu_7
:YlGnBu_8
:YlGnBu_9
:YlGn_3
:YlGn_4
:YlGn_5
:YlGn_6
:YlGn_7
:YlGn_8
:YlGn_9
:YlOrBr
:YlOrBr_3
:YlOrBr_4
:YlOrBr_5
:YlOrBr_6
:YlOrBr_7
:YlOrBr_8
:YlOrBr_9
:YlOrRd
:YlOrRd_3
:YlOrRd_4
:YlOrRd_5
:YlOrRd_6
:YlOrRd_7
:YlOrRd_8
:YlOrRd_9

gnuplot

NamePaletteGradient
:afmhot
:gnuplot
:gnuplot2
:ocean
:rainbow1

colorcet

NamePaletteGradient
:cyclic_grey_15_85_c0_n256
:cyclic_grey_15_85_c0_n256_s25
:cyclic_mrybm_35_75_c68_n256
:cyclic_mrybm_35_75_c68_n256_s25
:cyclic_mygbm_30_95_c78_n256
:cyclic_mygbm_30_95_c78_n256_s25
:cyclic_protanopic_deuteranopic_bwyk_16_96_c31_n256
:cyclic_protanopic_deuteranopic_wywb_55_96_c33_n256
:cyclic_tritanopic_cwrk_40_100_c20_n256
:cyclic_tritanopic_wrwc_70_100_c20_n256
:cyclic_wrwbw_40_90_c42_n256
:cyclic_wrwbw_40_90_c42_n256_s25
:diverging_bkr_55_10_c35_n256
:diverging_bky_60_10_c30_n256
:diverging_bwg_20_95_c41_n256
:diverging_bwr_20_95_c54_n256
:diverging_bwr_40_95_c42_n256
:diverging_bwr_55_98_c37_n256
:diverging_cwm_80_100_c22_n256
:diverging_gkr_60_10_c40_n256
:diverging_gwr_55_95_c38_n256
:diverging_gwv_55_95_c39_n256
:diverging_isoluminant_cjm_75_c23_n256
:diverging_isoluminant_cjm_75_c24_n256
:diverging_isoluminant_cjo_70_c25_n256
:diverging_linear_bjr_30_55_c53_n256
:diverging_linear_bjy_30_90_c45_n256
:diverging_protanopic_deuteranopic_bwy_60_95_c32_n256
:diverging_rainbow_bgymr_45_85_c67_n256
:diverging_tritanopic_cwr_75_98_c20_n256
:glasbey_bw_minc_20_hue_150_280_n256
:glasbey_bw_minc_20_hue_330_100_n256
:glasbey_bw_minc_20_maxl_70_n256
:glasbey_bw_minc_20_minl_30_n256
:glasbey_bw_minc_20_n256
:glasbey_bw_n256
:glasbey_category10_n256
:glasbey_hv_n256
:isoluminant_cgo_70_c39_n256
:isoluminant_cgo_80_c38_n256
:isoluminant_cm_70_c39_n256
:linear_bgy_10_95_c74_n256
:linear_bgyw_15_100_c67_n256
:linear_bgyw_15_100_c68_n256
:linear_bgyw_20_98_c66_n256
:linear_blue_5_95_c73_n256
:linear_blue_95_50_c20_n256
:linear_bmw_5_95_c86_n256
:linear_bmw_5_95_c89_n256
:linear_bmy_10_95_c71_n256
:linear_bmy_10_95_c78_n256
:linear_gow_60_85_c27_n256
:linear_gow_65_90_c35_n256
:linear_green_5_95_c69_n256
:linear_grey_0_100_c0_n256
:linear_grey_10_95_c0_n256
:linear_kbc_5_95_c73_n256
:linear_kbgyw_5_98_c62_n256
:linear_kgy_5_95_c69_n256
:linear_kry_0_97_c73_n256
:linear_kry_5_95_c72_n256
:linear_kry_5_98_c75_n256
:linear_kryw_0_100_c71_n256
:linear_kryw_5_100_c64_n256
:linear_kryw_5_100_c67_n256
:linear_protanopic_deuteranopic_kbjyw_5_95_c25_n256
:linear_protanopic_deuteranopic_kbw_5_98_c40_n256
:linear_ternary_blue_0_44_c57_n256
:linear_ternary_green_0_46_c42_n256
:linear_ternary_red_0_50_c52_n256
:linear_tritanopic_krjcw_5_95_c24_n256
:linear_tritanopic_krjcw_5_98_c46_n256
:linear_wcmr_100_45_c42_n256
:linear_worb_100_25_c53_n256
:linear_wyor_100_45_c55_n256
:rainbow_bgyr_35_85_c72_n256
:rainbow_bgyr_35_85_c73_n256
:rainbow_bgyrm_35_85_c69_n256
:rainbow_bgyrm_35_85_c71_n256

seaborn

NamePaletteGradient
:seaborn_bright
:seaborn_bright6
:seaborn_colorblind
:seaborn_colorblind6
:seaborn_dark
:seaborn_dark6
:seaborn_deep
:seaborn_deep6
:seaborn_icefire_gradient
:seaborn_muted
:seaborn_muted6
:seaborn_pastel
:seaborn_pastel6
:seaborn_rocket_gradient

general

NamePaletteGradient
:CMRmap
:alpine
:aquamarine
:army
:atlantic
:auerbach
:aurora
:autumn
:avocado
:beach
:blackbody
:bluegreenyellow
:bosch_garden
:bosch_hell
:botticelli
:brass
:browncyan
:canaletto
:candy
:cezanne
:cherry
:cividis
:cmyk
:coffee
:cubehelix
:darkrainbow
:darkterrain
:deepsea
:dracula
:fall
:fastie
:fruitpunch
:fuchsia
:gold
:grays1
:grayyellow
:greenbrownterrain
:greenpink
:hokusai
:holbein
:island
:jet
:julia_colorscheme
:klimt
:lake
:leonardo
:lighttemperaturemap
:lightterrain
:mint
:munch
:neon
:pastel
:pearl
:picasso
:pigeon
:plum
:rainbow
:redblue
:redgreensplit
:rembrandt
:rose
:rust
:sandyterrain
:sienna
:southwest
:starrynight
:sun
:sunset
:temperaturemap
:thermometer
:turbo
:twelvebitrainbow
:valentine
:vangogh
:vanhelsing
:vermeer
:watermelon
:websafe