Centering of labels in the color bar

Hi all,

A query, how can I do to center the color bar labels? I tried with the -L0.1 option but it did not work. Also, how could I remove the horizontal lines from the labels?

This is my code:

#!/usr/bin/bash

region=-81/-80/-4/-3.3
gmt begin test_colorbar
gmt set MAP_TICK_LENGTH_PRIMARY 0
gmt set MAP_TICK_LENGTH_SECONDARY 0
cat > test.cpt <<END
# Color Table
# COLOR_MODEL = RGB
-1484.68054199  37      57      175     -1370.67816772  40      127     251     ;10th class
-1370.67816772  40      127     251     -1256.67579345  50      190     255     ;9th class
-1256.67579345  50      190     255     -1142.67341918  106     235     255     ;8th class
-1142.67341918  106     235     255     -1028.67104491  138     236     174     ;7th class
-1028.67104491  138     236     174     -914.66867064   205     255     162     ;6th class
-914.66867064   205     255     162     -800.66629637   240     236     121     ;5th class
-800.66629637   240     236     121     -686.66392210   255     189     87      ;4th class
-686.66392210   255     189     87      -572.66154783   255     161     68      ;3rd class
-572.66154783   255     161     68      -458.65917356   255     186     133     ;2nd class
-458.65917356   255     186     133     -344.656799316  255     255     255     ;1st class
B       black
F       white
END
gmt colorbar -Ctest.cpt -R$region -DJMR+w5.0c/0.5c+o1.0c/-2.0c -L0.1 -V
gmt end show

And I get this figure:
test_colorbar.pdf (5.9 KB)

I am using GMT 6.6.0_4a8f608_2025.02.01.

Thank you very much in advance for your help.

Best wishes,
Oscar

Oscar,
Have you looked at this example in the CookBook and associated script?
https://docs.generic-mapping-tools.org/latest/reference/cpts.html#labeled-and-non-equidistant-color-legends

And you also want to use discrete CPTs for categorical displays.

Thank you Joaquim for your help. Yes, I used that script as a reference, but I had no luck. I was able to fix it with makecpt and the -F+c option.

#!/usr/bin/bash

region=-81/-80/-4/-3.3
gmt begin test_colorbar
cat > test.cpt <<END
# Color Table
# COLOR_MODEL = RGB
-1484.68054199  37      57      175     -1370.67816772  40      127     251     ;10th class
-1370.67816772  40      127     251     -1256.67579345  50      190     255     ;9th class
-1256.67579345  50      190     255     -1142.67341918  106     235     255     ;8th class
-1142.67341918  106     235     255     -1028.67104491  138     236     174     ;7th class
-1028.67104491  138     236     174     -914.66867064   205     255     162     ;6th class
-914.66867064   205     255     162     -800.66629637   240     236     121     ;5th class
-800.66629637   240     236     121     -686.66392210   255     189     87      ;4th class
-686.66392210   255     189     87      -572.66154783   255     161     68      ;3rd class
-572.66154783   255     161     68      -458.65917356   255     186     133     ;2nd class
-458.65917356   255     186     133     -344.656799316  255     255     255     ;1st class
B       black
F       white
END
gmt makecpt -H -Ctest.cpt -F+c"10th class,9th class,8th class,7th class,6th class,5th class,4th class,3rd class,2nd class,1st class" > test_final.cpt -V
gmt colorbar -Ctest_final.cpt -R$region -DJMR+w5.0c/0.5c+o1.0c/-2.0c -L0.1c -V
gmt end show

I had as a result:
test_colorbar.pdf (5.8 KB)

Cheers,
Oscar

Yes, categorical CPTs have their own mood. But for me (suffered with them once), now I just do like:

julia> C = makecpt(cmap=:categorical, range="Neogene,Paleogene,Cretaceous,Jurassic,Triassic,Permian,Carboniferous,Devonian,Silurian,Ordovician,Cambrian,Precambrian")
Extract of a GMTcpt exposed as a GMTdataset for display.
CATEGORICAL palette.
Model: rgb
Color depth: 24

12×5 GMTdataset{Float64, 2}
 Row │    z      r      g      b  alpha         Labels
─────┼─────────────────────────────────────────────────
   1 │  1.0    0.0  255.0    0.0    0.0        Neogene
   2 │  2.0    0.0    0.0  255.0    0.0      Paleogene
   3 │  3.0  255.0    0.0    0.0    0.0     Cretaceous
   4 │  4.0    0.0  255.0  255.0    0.0       Jurassic
   5 │  5.0  255.0  153.0  238.0    0.0       Triassic
   6 │  6.0  255.0  221.0  102.0    0.0        Permian
   7 │  7.0    0.0  102.0    0.0    0.0  Carboniferous
   8 │  8.0    0.0    0.0  102.0    0.0       Devonian
   9 │  9.0  170.0   85.0   68.0    0.0       Silurian
  10 │ 10.0    0.0  136.0  204.0    0.0     Ordovician
  11 │ 11.0  255.0   17.0  255.0    0.0       Cambrian
  12 │ 12.0  255.0  238.0  238.0    0.0    Precambrian

julia> viz(C)

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