Paul Tol Colour Schemes — Reference Gallery (Values Only)

Qualitative schemes (8)

`bright`

Kind: qualitative · Stops: 7 · Interpolation: none · Source: tol_cset('bright') (2022.10) + fig:scheme_bright

#0 blue

vs #FFF
4.70:1

vs #000
4.46:1
#1 red

vs #FFF
3.09:1

vs #000
6.80:1
#2 green

vs #FFF
4.53:1

vs #000
4.64:1
#3 yellow

vs #FFF
1.95:1

vs #000
10.76:1
#4 cyan

vs #FFF
1.84:1

vs #000
11.44:1
#5 purple

vs #FFF
6.09:1

vs #000
3.45:1
#6 grey

vs #FFF
1.92:1

vs #000
10.94:1

Module extras (`tol_colors.py`)

extra black

vs #FFF
21.00:1

vs #000
1.00:1

`dark`

Kind: qualitative · Stops: 11 · Interpolation: none · Source: fig:scheme_dark

#0

vs #FFF
4.56:1

vs #000
4.60:1
#1

vs #FFF
4.58:1

vs #000
4.59:1
#2

vs #FFF
4.53:1

vs #000
4.64:1
#3

vs #FFF
7.12:1

vs #000
2.95:1
#4

vs #FFF
6.95:1

vs #000
3.02:1
#5

vs #FFF
7.04:1

vs #000
2.98:1
#6

vs #FFF
5.23:1

vs #000
4.02:1
#7

vs #FFF
7.98:1

vs #000
2.63:1
#8

vs #FFF
4.89:1

vs #000
4.30:1
#9

vs #FFF
6.81:1

vs #000
3.08:1
#10

vs #FFF
9.74:1

vs #000
2.16:1

`high-contrast`

Kind: qualitative · Stops: 3 · Interpolation: none · Source: tol_cset('high-contrast') (2022.10) + fig:scheme_highcontrast

#0 blue

vs #FFF
9.62:1

vs #000
2.18:1
#1 yellow

vs #FFF
2.13:1

vs #000
9.87:1
#2 red

vs #FFF
4.56:1

vs #000
4.60:1

Module extras (`tol_colors.py`)

extra black

vs #FFF
21.00:1

vs #000
1.00:1

`light`

Kind: qualitative · Stops: 9 · Interpolation: none · Source: tol_cset('light') (2022.10) + fig:scheme_light

#0 light_blue

vs #FFF
2.45:1

vs #000
8.58:1
#1 orange

vs #FFF
2.52:1

vs #000
8.35:1
#2 light_yellow

vs #FFF
1.37:1

vs #000
15.33:1
#3 pink

vs #FFF
1.79:1

vs #000
11.72:1
#4 light_cyan

vs #FFF
1.49:1

vs #000
14.14:1
#5 mint

vs #FFF
2.38:1

vs #000
8.81:1
#6 pear

vs #FFF
1.78:1

vs #000
11.80:1
#7 olive

vs #FFF
2.48:1

vs #000
8.46:1
#8 pale_grey

vs #FFF
1.36:1

vs #000
15.46:1

Module extras (`tol_colors.py`)

extra black

vs #FFF
21.00:1

vs #000
1.00:1

`medium-contrast`

Kind: qualitative · Stops: 6 · Interpolation: none · Source: tol_cset('medium-contrast') (2022.10) + fig:scheme_mediumcontrast

#0 light_blue

vs #FFF
3.00:1

vs #000
6.99:1
#1 dark_blue

vs #FFF
9.62:1

vs #000
2.18:1
#2 light_yellow

vs #FFF
1.56:1

vs #000
13.46:1
#3 dark_red

vs #FFF
6.34:1

vs #000
3.31:1
#4 dark_yellow

vs #FFF
4.21:1

vs #000
4.99:1
#5 light_red

vs #FFF
2.15:1

vs #000
9.77:1

Module extras (`tol_colors.py`)

extra black

vs #FFF
21.00:1

vs #000
1.00:1

`muted`

Kind: qualitative · Stops: 9 · Interpolation: none · Source: tol_cset('muted') (2022.10) + fig:scheme_muted

#0 rose

vs #FFF
3.66:1

vs #000
5.73:1
#1 indigo

vs #FFF
12.17:1

vs #000
1.73:1
#2 sand

vs #FFF
1.62:1

vs #000
12.98:1
#3 green

vs #FFF
5.66:1

vs #000
3.71:1
#4 cyan

vs #FFF
1.76:1

vs #000
11.92:1
#5 wine

vs #FFF
8.73:1

vs #000
2.41:1
#6 teal

vs #FFF
2.82:1

vs #000
7.46:1
#7 olive

vs #FFF
3.02:1

vs #000
6.96:1
#8 purple

vs #FFF
5.26:1

vs #000
4.00:1

Module extras (`tol_colors.py`)

extra pale_grey

vs #FFF
1.36:1

vs #000
15.46:1
extra black

vs #FFF
21.00:1

vs #000
1.00:1

Bad / missing data colour

bad

vs #FFF
1.36:1

vs #000
15.46:1

`pale`

Kind: qualitative · Stops: 7 · Interpolation: none · Source: fig:scheme_marking

#0

vs #FFF
1.67:1

vs #000
12.58:1
#1

vs #FFF
1.22:1

vs #000
17.24:1
#2

vs #FFF
1.48:1

vs #000
14.17:1
#3

vs #FFF
1.19:1

vs #000
17.58:1
#4

vs #FFF
1.59:1

vs #000
13.23:1
#5

vs #FFF
1.64:1

vs #000
12.79:1
#6

vs #FFF
1.36:1

vs #000
15.46:1

`vibrant`

Kind: qualitative · Stops: 7 · Interpolation: none · Source: tol_cset('vibrant') (2022.10) + fig:scheme_vibrant

#0 orange

vs #FFF
2.87:1

vs #000
7.32:1
#1 blue

vs #FFF
4.82:1

vs #000
4.36:1
#2 cyan

vs #FFF
2.21:1

vs #000
9.48:1
#3 magenta

vs #FFF
3.91:1

vs #000
5.38:1
#4 red

vs #FFF
5.19:1

vs #000
4.05:1
#5 teal

vs #FFF
3.55:1

vs #000
5.91:1
#6 grey

vs #FFF
1.92:1

vs #000
10.94:1

Module extras (`tol_colors.py`)

extra black

vs #FFF
21.00:1

vs #000
1.00:1

Diverging schemes (4)

`burd`

Kind: diverging · Stops: 9 · Interpolation: either · Source: tol_cmap('BuRd') (2022.10) + fig:scheme_burd

#0

vs #FFF
5.90:1

vs #000
3.56:1
#1

vs #FFF
3.39:1

vs #000
6.20:1
#2

vs #FFF
1.86:1

vs #000
11.26:1
#3

vs #FFF
1.30:1

vs #000
16.18:1
#4

vs #FFF
1.07:1

vs #000
19.60:1
#5

vs #FFF
1.30:1

vs #000
16.13:1
#6

vs #FFF
1.99:1

vs #000
10.55:1
#7

vs #FFF
3.72:1

vs #000
5.64:1
#8

vs #FFF
6.87:1

vs #000
3.06:1

Bad / missing data colour

bad

vs #FFF
1.17:1

vs #000
17.94:1

`nightfall`

Kind: diverging · Stops: 17 · Interpolation: either · Source: tol_cmap('nightfall') (2022.10) + fig:scheme_nightfall

#0

vs #FFF
8.01:1

vs #000
2.62:1
#1

vs #FFF
5.42:1

vs #000
3.88:1
#2

vs #FFF
3.83:1

vs #000
5.49:1
#3

vs #FFF
2.77:1

vs #000
7.57:1
#4

vs #FFF
2.13:1

vs #000
9.87:1
#5

vs #FFF
1.70:1

vs #000
12.32:1
#6

vs #FFF
1.42:1

vs #000
14.76:1
#7

vs #FFF
1.27:1

vs #000
16.58:1
#8

vs #FFF
1.21:1

vs #000
17.35:1
#9

vs #FFF
1.26:1

vs #000
16.67:1
#10

vs #FFF
1.42:1

vs #000
14.81:1
#11

vs #FFF
1.70:1

vs #000
12.32:1
#12

vs #FFF
2.13:1

vs #000
9.88:1
#13

vs #FFF
2.79:1

vs #000
7.52:1
#14

vs #FFF
3.81:1

vs #000
5.52:1
#15

vs #FFF
5.46:1

vs #000
3.84:1
#16

vs #FFF
7.97:1

vs #000
2.63:1

Bad / missing data colour

bad

vs #FFF
1.00:1

vs #000
21.00:1

`prgn`

Kind: diverging · Stops: 9 · Interpolation: either · Source: tol_cmap('PRGn') (2022.10) + fig:scheme_prgn

#0

vs #FFF
8.64:1

vs #000
2.43:1
#1

vs #FFF
3.99:1

vs #000
5.26:1
#2

vs #FFF
2.19:1

vs #000
9.58:1
#3

vs #FFF
1.40:1

vs #000
14.98:1
#4

vs #FFF
1.07:1

vs #000
19.60:1
#5

vs #FFF
1.21:1

vs #000
17.36:1
#6

vs #FFF
1.67:1

vs #000
12.57:1
#7

vs #FFF
2.74:1

vs #000
7.66:1
#8

vs #FFF
5.54:1

vs #000
3.79:1

Bad / missing data colour

bad

vs #FFF
1.17:1

vs #000
17.94:1

`sunset`

Kind: diverging · Stops: 11 · Interpolation: either · Source: tol_cmap('sunset') (2022.10) + fig:scheme_sunset

#0

vs #FFF
7.99:1

vs #000
2.63:1
#1

vs #FFF
4.37:1

vs #000
4.81:1
#2

vs #FFF
2.63:1

vs #000
8.00:1
#3

vs #FFF
1.77:1

vs #000
11.87:1
#4

vs #FFF
1.34:1

vs #000
15.64:1
#5

vs #FFF
1.21:1

vs #000
17.37:1
#6

vs #FFF
1.34:1

vs #000
15.62:1
#7

vs #FFF
1.78:1

vs #000
11.82:1
#8

vs #FFF
2.62:1

vs #000
8.00:1
#9

vs #FFF
4.39:1

vs #000
4.78:1
#10

vs #FFF
7.99:1

vs #000
2.63:1

Bad / missing data colour

bad

vs #FFF
1.00:1

vs #000
21.00:1

Sequential schemes (9)

`banded-12`

Kind: sequential · Stops: 12 · Interpolation: none · Source: fig:scheme_banded

#0

vs #FFF
1.50:1

vs #000
13.96:1
#1

vs #FFF
2.19:1

vs #000
9.59:1
#2

vs #FFF
3.42:1

vs #000
6.15:1
#3

vs #FFF
1.81:1

vs #000
11.62:1
#4

vs #FFF
2.72:1

vs #000
7.72:1
#5

vs #FFF
4.49:1

vs #000
4.67:1
#6

vs #FFF
1.65:1

vs #000
12.75:1
#7

vs #FFF
2.42:1

vs #000
8.67:1
#8

vs #FFF
3.91:1

vs #000
5.37:1
#9

vs #FFF
1.99:1

vs #000
10.58:1
#10

vs #FFF
3.04:1

vs #000
6.92:1
#11

vs #FFF
5.27:1

vs #000
3.99:1

Bad / missing data colour

bad

vs #FFF
1.00:1

vs #000
21.00:1

`banded-16`

Kind: sequential · Stops: 16 · Interpolation: none · Source: fig:scheme_banded

#0

vs #FFF
1.50:1

vs #000
13.96:1
#1

vs #FFF
1.96:1

vs #000
10.69:1
#2

vs #FFF
2.67:1

vs #000
7.88:1
#3

vs #FFF
3.81:1

vs #000
5.51:1
#4

vs #FFF
1.71:1

vs #000
12.29:1
#5

vs #FFF
2.28:1

vs #000
9.23:1
#6

vs #FFF
3.18:1

vs #000
6.61:1
#7

vs #FFF
4.68:1

vs #000
4.48:1
#8

vs #FFF
1.61:1

vs #000
13.06:1
#9

vs #FFF
2.12:1

vs #000
9.91:1
#10

vs #FFF
2.89:1

vs #000
7.26:1
#11

vs #FFF
4.21:1

vs #000
4.99:1
#12

vs #FFF
1.83:1

vs #000
11.47:1
#13

vs #FFF
2.47:1

vs #000
8.49:1
#14

vs #FFF
3.47:1

vs #000
6.05:1
#15

vs #FFF
5.27:1

vs #000
3.99:1

Bad / missing data colour

bad

vs #FFF
1.00:1

vs #000
21.00:1

`banded-20`

Kind: sequential · Stops: 20 · Interpolation: none · Source: fig:scheme_banded

#0

vs #FFF
1.50:1

vs #000
13.96:1
#1

vs #FFF
1.86:1

vs #000
11.32:1
#2

vs #FFF
2.34:1

vs #000
8.97:1
#3

vs #FFF
3.02:1

vs #000
6.96:1
#4

vs #FFF
4.07:1

vs #000
5.16:1
#5

vs #FFF
1.67:1

vs #000
12.57:1
#6

vs #FFF
2.07:1

vs #000
10.14:1
#7

vs #FFF
2.66:1

vs #000
7.90:1
#8

vs #FFF
3.47:1

vs #000
6.06:1
#9

vs #FFF
4.81:1

vs #000
4.37:1
#10

vs #FFF
1.57:1

vs #000
13.35:1
#11

vs #FFF
1.96:1

vs #000
10.70:1
#12

vs #FFF
2.48:1

vs #000
8.45:1
#13

vs #FFF
3.23:1

vs #000
6.49:1
#14

vs #FFF
4.41:1

vs #000
4.77:1
#15

vs #FFF
1.76:1

vs #000
11.93:1
#16

vs #FFF
2.21:1

vs #000
9.51:1
#17

vs #FFF
2.83:1

vs #000
7.41:1
#18

vs #FFF
3.74:1

vs #000
5.62:1
#19

vs #FFF
5.27:1

vs #000
3.99:1

Bad / missing data colour

bad

vs #FFF
1.00:1

vs #000
21.00:1

`incandescent`

Kind: sequential · Stops: 11 · Interpolation: linear · Source: fig:scheme_incandescent

#0

vs #FFF
1.08:1

vs #000
19.37:1
#1

vs #FFF
1.19:1

vs #000
17.68:1
#2

vs #FFF
1.32:1

vs #000
15.95:1
#3

vs #FFF
1.46:1

vs #000
14.34:1
#4

vs #FFF
1.66:1

vs #000
12.66:1
#5

vs #FFF
1.91:1

vs #000
11.01:1
#6

vs #FFF
2.26:1

vs #000
9.30:1
#7

vs #FFF
2.74:1

vs #000
7.66:1
#8

vs #FFF
3.51:1

vs #000
5.98:1
#9

vs #FFF
4.85:1

vs #000
4.33:1
#10

vs #FFF
7.88:1

vs #000
2.67:1

Bad / missing data colour

bad

vs #FFF
3.54:1

vs #000
5.92:1

`iridescent`

Kind: sequential · Stops: 23 · Interpolation: linear · Source: tol_cmap('iridescent') (2022.10) + fig:scheme_iridescent

#0

vs #FFF
1.04:1

vs #000
20.19:1
#1

vs #FFF
1.08:1

vs #000
19.40:1
#2

vs #FFF
1.14:1

vs #000
18.47:1
#3

vs #FFF
1.19:1

vs #000
17.63:1
#4

vs #FFF
1.25:1

vs #000
16.82:1
#5

vs #FFF
1.32:1

vs #000
15.97:1
#6

vs #FFF
1.38:1

vs #000
15.21:1
#7

vs #FFF
1.47:1

vs #000
14.30:1
#8

vs #FFF
1.55:1

vs #000
13.52:1
#9

vs #FFF
1.65:1

vs #000
12.70:1
#10

vs #FFF
1.78:1

vs #000
11.80:1
#11

vs #FFF
1.91:1

vs #000
10.98:1
#12

vs #FFF
2.06:1

vs #000
10.19:1
#13

vs #FFF
2.24:1

vs #000
9.38:1
#14

vs #FFF
2.48:1

vs #000
8.47:1
#15

vs #FFF
2.74:1

vs #000
7.66:1
#16

vs #FFF
3.08:1

vs #000
6.83:1
#17

vs #FFF
3.49:1

vs #000
6.01:1
#18

vs #FFF
4.05:1

vs #000
5.19:1
#19

vs #FFF
4.85:1

vs #000
4.33:1
#20

vs #FFF
5.97:1

vs #000
3.52:1
#21

vs #FFF
7.84:1

vs #000
2.68:1
#22

vs #FFF
11.47:1

vs #000
1.83:1

Bad / missing data colour

bad

vs #FFF
2.85:1

vs #000
7.37:1

`rainbow-discrete`

Kind: sequential · Stops: 29 · Interpolation: none · Source: tol_cmap('rainbow_discrete', lut) (2022.10) + fig:scheme_rainbow_discrete

#0

vs #FFF
1.18:1

vs #000
17.82:1
#1

vs #FFF
1.53:1

vs #000
13.70:1
#2

vs #FFF
1.78:1

vs #000
11.80:1
#3

vs #FFF
2.04:1

vs #000
10.27:1
#4

vs #FFF
2.78:1

vs #000
7.56:1
#5

vs #FFF
3.55:1

vs #000
5.92:1
#6

vs #FFF
3.83:1

vs #000
5.48:1
#7

vs #FFF
5.49:1

vs #000
3.83:1
#8

vs #FFF
7.83:1

vs #000
2.68:1
#9

vs #FFF
5.95:1

vs #000
3.53:1
#10

vs #FFF
4.26:1

vs #000
4.92:1
#11

vs #FFF
3.64:1

vs #000
5.76:1
#12

vs #FFF
3.13:1

vs #000
6.71:1
#13

vs #FFF
2.33:1

vs #000
9.03:1
#14

vs #FFF
2.66:1

vs #000
7.88:1
#15

vs #FFF
1.93:1

vs #000
10.89:1
#16

vs #FFF
1.42:1

vs #000
14.76:1
#17

vs #FFF
1.20:1

vs #000
17.55:1
#18

vs #FFF
1.55:1

vs #000
13.58:1
#19

vs #FFF
1.66:1

vs #000
12.62:1
#20

vs #FFF
2.01:1

vs #000
10.43:1
#21

vs #FFF
2.35:1

vs #000
8.95:1
#22

vs #FFF
2.71:1

vs #000
7.75:1
#23

vs #FFF
3.43:1

vs #000
6.12:1
#24

vs #FFF
3.70:1

vs #000
5.68:1
#25

vs #FFF
5.16:1

vs #000
4.07:1
#26

vs #FFF
7.70:1

vs #000
2.73:1
#27

vs #FFF
11.29:1

vs #000
1.86:1
#28

vs #FFF
15.63:1

vs #000
1.34:1

Bad / missing data colour

bad

vs #FFF
1.00:1

vs #000
21.00:1

`rainbow-smooth`

Kind: sequential · Stops: 34 · Interpolation: linear · Source: tol_cmap('rainbow_*') (2022.10) + fig:scheme_rainbow_smooth

#0

vs #FFF
1.18:1

vs #000
17.82:1
#1

vs #FFF
1.39:1

vs #000
15.14:1
#2

vs #FFF
1.69:1

vs #000
12.43:1
#3

vs #FFF
2.13:1

vs #000
9.84:1
#4

vs #FFF
2.74:1

vs #000
7.67:1
#5

vs #FFF
3.51:1

vs #000
5.99:1
#6

vs #FFF
4.47:1

vs #000
4.70:1
#7

vs #FFF
5.73:1

vs #000
3.66:1
#8

vs #FFF
6.60:1

vs #000
3.18:1
#9

vs #FFF
6.00:1

vs #000
3.50:1
#10

vs #FFF
5.17:1

vs #000
4.06:1
#11

vs #FFF
4.32:1

vs #000
4.87:1
#12

vs #FFF
3.64:1

vs #000
5.77:1
#13

vs #FFF
3.27:1

vs #000
6.41:1
#14

vs #FFF
3.04:1

vs #000
6.92:1
#15

vs #FFF
2.85:1

vs #000
7.38:1
#16

vs #FFF
2.69:1

vs #000
7.82:1
#17

vs #FFF
2.53:1

vs #000
8.29:1
#18

vs #FFF
2.37:1

vs #000
8.85:1
#19

vs #FFF
2.21:1

vs #000
9.51:1
#20

vs #FFF
2.08:1

vs #000
10.11:1
#21

vs #FFF
2.00:1

vs #000
10.48:1
#22

vs #FFF
2.02:1

vs #000
10.40:1
#23

vs #FFF
2.12:1

vs #000
9.89:1
#24

vs #FFF
2.30:1

vs #000
9.11:1
#25

vs #FFF
2.56:1

vs #000
8.20:1
#26

vs #FFF
2.94:1

vs #000
7.15:1
#27

vs #FFF
3.43:1

vs #000
6.12:1
#28

vs #FFF
4.12:1

vs #000
5.10:1
#29

vs #FFF
4.96:1

vs #000
4.23:1
#30

vs #FFF
6.39:1

vs #000
3.29:1
#31

vs #FFF
8.36:1

vs #000
2.51:1
#32

vs #FFF
10.97:1

vs #000
1.91:1
#33

vs #FFF
13.85:1

vs #000
1.52:1

Bad / missing data colour

bad

vs #FFF
5.74:1

vs #000
3.66:1

`whorbr`

Kind: sequential · Stops: 9 · Interpolation: linear · Source: tol_cmap('WhOrBr') (2022.10)

#0

vs #FFF
1.00:1

vs #000
21.00:1
#1

vs #FFF
1.09:1

vs #000
19.28:1
#2

vs #FFF
1.26:1

vs #000
16.61:1
#3

vs #FFF
1.59:1

vs #000
13.22:1
#4

vs #FFF
2.15:1

vs #000
9.76:1
#5

vs #FFF
3.05:1

vs #000
6.89:1
#6

vs #FFF
4.56:1

vs #000
4.60:1
#7

vs #FFF
7.38:1

vs #000
2.85:1
#8

vs #FFF
11.46:1

vs #000
1.83:1

Bad / missing data colour

bad

vs #FFF
3.54:1

vs #000
5.92:1

`ylorbr`

Kind: sequential · Stops: 9 · Interpolation: either · Source: tol_cmap('YlOrBr') (2022.10) + fig:scheme_ylorbr

#0

vs #FFF
1.02:1

vs #000
20.69:1
#1

vs #FFF
1.09:1

vs #000
19.28:1
#2

vs #FFF
1.26:1

vs #000
16.61:1
#3

vs #FFF
1.59:1

vs #000
13.22:1
#4

vs #FFF
2.15:1

vs #000
9.76:1
#5

vs #FFF
3.05:1

vs #000
6.89:1
#6

vs #FFF
4.56:1

vs #000
4.60:1
#7

vs #FFF
7.38:1

vs #000
2.85:1
#8

vs #FFF
11.46:1

vs #000
1.83:1

Bad / missing data colour

bad

vs #FFF
3.54:1

vs #000
5.92:1

Special schemes (1)

`groundcover`

Kind: special · Stops: 14 · Interpolation: none · Source: fig:scheme_groundcover

#0

vs #FFF
5.43:1

vs #000
3.87:1
#1

vs #FFF
5.66:1

vs #000
3.71:1
#2

vs #FFF
2.92:1

vs #000
7.19:1
#3

vs #FFF
2.93:1

vs #000
7.16:1
#4

vs #FFF
4.11:1

vs #000
5.11:1
#5

vs #FFF
2.19:1

vs #000
9.59:1
#6

vs #FFF
4.06:1

vs #000
5.17:1
#7

vs #FFF
2.16:1

vs #000
9.74:1
#8

vs #FFF
1.51:1

vs #000
13.92:1
#9

vs #FFF
2.86:1

vs #000
7.35:1
#10

vs #FFF
1.63:1

vs #000
12.90:1
#11

vs #FFF
1.34:1

vs #000
15.68:1
#12

vs #FFF
1.18:1

vs #000
17.84:1
#13

vs #FFF
6.73:1

vs #000
3.12:1

Qualitative schemes (8)

Module extras (tol_colors.py)

Module extras (tol_colors.py)

Module extras (tol_colors.py)

Module extras (tol_colors.py)

Module extras (tol_colors.py)

Bad / missing data colour

Module extras (tol_colors.py)

Diverging schemes (4)

Bad / missing data colour

Bad / missing data colour

Bad / missing data colour

Bad / missing data colour

Sequential schemes (9)

Bad / missing data colour

Bad / missing data colour

Bad / missing data colour

Bad / missing data colour

Bad / missing data colour

Bad / missing data colour

Bad / missing data colour

Bad / missing data colour

Bad / missing data colour

Special schemes (1)

Module extras (`tol_colors.py`)

Module extras (`tol_colors.py`)

Module extras (`tol_colors.py`)

Module extras (`tol_colors.py`)

Module extras (`tol_colors.py`)

Module extras (`tol_colors.py`)