From ac2afe3563c20572734ccd85856a4bb029d5efde Mon Sep 17 00:00:00 2001 From: Brian Medeiros Date: Sat, 2 Mar 2024 11:53:10 -0700 Subject: [PATCH] ncl colormaps, started --- ncl_colormaps_in_mpl/3gauss.rgb | 256 ++++++ ncl_colormaps_in_mpl/3saw.rgb | 256 ++++++ .../BkBlAqGrYeOrReViWh200.rgb | 202 +++++ ncl_colormaps_in_mpl/BlAqGrWh2YeOrReVi22.rgb | 24 + ncl_colormaps_in_mpl/BlAqGrYeOrRe.rgb | 102 +++ ncl_colormaps_in_mpl/BlAqGrYeOrReVi200.rgb | 202 +++++ ncl_colormaps_in_mpl/BlGrYeOrReVi200.rgb | 202 +++++ ncl_colormaps_in_mpl/BlRe.rgb | 98 +++ ncl_colormaps_in_mpl/BlWhRe.rgb | 103 +++ ncl_colormaps_in_mpl/BlueDarkOrange18.rgb | 25 + ncl_colormaps_in_mpl/BlueDarkRed18.rgb | 25 + ncl_colormaps_in_mpl/BlueGreen14.rgb | 21 + ncl_colormaps_in_mpl/BlueRed.rgb | 253 ++++++ ncl_colormaps_in_mpl/BlueRedGray.rgb | 254 ++++++ ncl_colormaps_in_mpl/BlueWhiteOrangeRed.rgb | 256 ++++++ ncl_colormaps_in_mpl/BlueYellowRed.rgb | 256 ++++++ ncl_colormaps_in_mpl/BrownBlue12.rgb | 19 + ncl_colormaps_in_mpl/CBR_coldhot.rgb | 13 + ncl_colormaps_in_mpl/CBR_drywet.rgb | 13 + ncl_colormaps_in_mpl/CBR_set3.rgb | 14 + ncl_colormaps_in_mpl/CBR_wet.rgb | 13 + ncl_colormaps_in_mpl/Cat12.rgb | 19 + ncl_colormaps_in_mpl/GHRSST_anomaly.rgb | 44 ++ ncl_colormaps_in_mpl/GMT_cool.rgb | 12 + ncl_colormaps_in_mpl/GMT_copper.rgb | 52 ++ ncl_colormaps_in_mpl/GMT_drywet.rgb | 62 ++ ncl_colormaps_in_mpl/GMT_gebco.rgb | 72 ++ ncl_colormaps_in_mpl/GMT_globe.rgb | 258 ++++++ ncl_colormaps_in_mpl/GMT_gray.rgb | 12 + ncl_colormaps_in_mpl/GMT_haxby.rgb | 34 + ncl_colormaps_in_mpl/GMT_hot.rgb | 102 +++ ncl_colormaps_in_mpl/GMT_jet.rgb | 258 ++++++ ncl_colormaps_in_mpl/GMT_nighttime.rgb | 22 + ncl_colormaps_in_mpl/GMT_no_green.rgb | 18 + ncl_colormaps_in_mpl/GMT_ocean.rgb | 82 ++ ncl_colormaps_in_mpl/GMT_paired.rgb | 14 + ncl_colormaps_in_mpl/GMT_panoply.rgb | 18 + ncl_colormaps_in_mpl/GMT_polar.rgb | 22 + ncl_colormaps_in_mpl/GMT_red2green.rgb | 22 + ncl_colormaps_in_mpl/GMT_relief.rgb | 258 ++++++ ncl_colormaps_in_mpl/GMT_relief_oceanonly.rgb | 162 ++++ ncl_colormaps_in_mpl/GMT_seis.rgb | 258 ++++++ ncl_colormaps_in_mpl/GMT_split.rgb | 42 + ncl_colormaps_in_mpl/GMT_topo.rgb | 258 ++++++ ncl_colormaps_in_mpl/GMT_wysiwyg.rgb | 22 + ncl_colormaps_in_mpl/GMT_wysiwygcont.rgb | 202 +++++ .../GSFC_landsat_udf_density.rgb | 13 + ncl_colormaps_in_mpl/GrayWhiteGray.rgb | 256 ++++++ ncl_colormaps_in_mpl/GreenMagenta16.rgb | 23 + ncl_colormaps_in_mpl/GreenYellow.rgb | 253 ++++++ ncl_colormaps_in_mpl/MPL_Accent.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_Blues.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_BrBG.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_BuGn.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_BuPu.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_Dark2.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_GnBu.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_Greens.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_Greys.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_OrRd.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_Oranges.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_PRGn.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_Paired.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_Pastel1.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_Pastel2.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_PiYG.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_PuBu.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_PuBuGn.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_PuOr.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_PuRd.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_Purples.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_RdBu.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_RdGy.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_RdPu.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_RdYlBu.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_RdYlGn.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_Reds.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_Set1.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_Set2.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_Set3.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_Spectral.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_StepSeq.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_YlGn.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_YlGnBu.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_YlOrBr.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_YlOrRd.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_afmhot.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_autumn.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_bone.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_brg.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_bwr.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_cool.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_coolwarm.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_copper.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_cubehelix.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_flag.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_gist_earth.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_gist_gray.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_gist_heat.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_gist_ncar.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_gist_rainbow.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_gist_stern.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_gist_yarg.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_gnuplot.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_gnuplot2.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_hot.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_hsv.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_jet.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_ocean.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_pink.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_prism.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_rainbow.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_s3pcpn.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_s3pcpn_l.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_seismic.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_spring.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_sstanom.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_summer.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_terrain.rgb | 130 +++ ncl_colormaps_in_mpl/MPL_viridis.rgb | 258 ++++++ ncl_colormaps_in_mpl/MPL_winter.rgb | 130 +++ ncl_colormaps_in_mpl/NCV_banded.rgb | 258 ++++++ ncl_colormaps_in_mpl/NCV_blu_red.rgb | 258 ++++++ ncl_colormaps_in_mpl/NCV_blue_red.rgb | 258 ++++++ ncl_colormaps_in_mpl/NCV_bright.rgb | 258 ++++++ ncl_colormaps_in_mpl/NCV_gebco.rgb | 26 + ncl_colormaps_in_mpl/NCV_jaisnd.rgb | 258 ++++++ ncl_colormaps_in_mpl/NCV_jet.rgb | 258 ++++++ ncl_colormaps_in_mpl/NCV_manga.rgb | 258 ++++++ ncl_colormaps_in_mpl/NCV_rainbow2.rgb | 258 ++++++ ncl_colormaps_in_mpl/NCV_roullet.rgb | 258 ++++++ ncl_colormaps_in_mpl/NEO_div_vegetation_a.rgb | 258 ++++++ ncl_colormaps_in_mpl/NEO_div_vegetation_b.rgb | 258 ++++++ ncl_colormaps_in_mpl/NEO_div_vegetation_c.rgb | 258 ++++++ ncl_colormaps_in_mpl/NEO_modis_ndvi.rgb | 258 ++++++ ncl_colormaps_in_mpl/NOC_ndvi.rgb | 255 ++++++ ncl_colormaps_in_mpl/OceanLakeLandSnow.rgb | 256 ++++++ ncl_colormaps_in_mpl/SVG_Gallet13.rgb | 222 ++++++ ncl_colormaps_in_mpl/SVG_Lindaa06.rgb | 222 ++++++ ncl_colormaps_in_mpl/SVG_Lindaa07.rgb | 222 ++++++ ncl_colormaps_in_mpl/SVG_bhw3_22.rgb | 222 ++++++ ncl_colormaps_in_mpl/SVG_es_landscape_79.rgb | 222 ++++++ ncl_colormaps_in_mpl/SVG_feb_sunrise.rgb | 222 ++++++ ncl_colormaps_in_mpl/SVG_foggy_sunrise.rgb | 222 ++++++ ncl_colormaps_in_mpl/SVG_fs2006.rgb | 222 ++++++ ncl_colormaps_in_mpl/StepSeq25.rgb | 32 + ncl_colormaps_in_mpl/UKM_hadcrut.rgb | 14 + ncl_colormaps_in_mpl/ViBlGrWhYeOrRe.rgb | 103 +++ ncl_colormaps_in_mpl/WhBlGrYeRe.rgb | 102 +++ ncl_colormaps_in_mpl/WhBlReWh.rgb | 103 +++ ncl_colormaps_in_mpl/WhViBlGrYeOrRe.rgb | 103 +++ ncl_colormaps_in_mpl/WhViBlGrYeOrReWh.rgb | 103 +++ ncl_colormaps_in_mpl/WhiteBlue.rgb | 256 ++++++ .../WhiteBlueGreenYellowRed.rgb | 256 ++++++ ncl_colormaps_in_mpl/WhiteGreen.rgb | 256 ++++++ ncl_colormaps_in_mpl/WhiteYellowOrangeRed.rgb | 256 ++++++ ncl_colormaps_in_mpl/amwg.rgb | 18 + ncl_colormaps_in_mpl/amwg256.rgb | 256 ++++++ ncl_colormaps_in_mpl/amwg_blueyellowred.rgb | 18 + ncl_colormaps_in_mpl/cb_9step.rgb | 80 ++ ncl_colormaps_in_mpl/cb_rainbow.rgb | 243 ++++++ ncl_colormaps_in_mpl/cb_rainbow_inv.rgb | 243 ++++++ ncl_colormaps_in_mpl/circular_0.rgb | 20 + ncl_colormaps_in_mpl/circular_1.rgb | 14 + ncl_colormaps_in_mpl/circular_2.rgb | 26 + 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ncl_colormaps_in_mpl/cmp_flux.rgb | 24 + ncl_colormaps_in_mpl/cmp_haxby.rgb | 66 ++ ncl_colormaps_in_mpl/cosam.rgb | 12 + ncl_colormaps_in_mpl/cosam12.rgb | 14 + ncl_colormaps_in_mpl/cyclic.rgb | 8 + ncl_colormaps_in_mpl/default.rgb | 36 + ncl_colormaps_in_mpl/detail.rgb | 256 ++++++ ncl_colormaps_in_mpl/drought_severity.rgb | 9 + ncl_colormaps_in_mpl/example.rgb | 115 +++ ncl_colormaps_in_mpl/extrema.rgb | 256 ++++++ ncl_colormaps_in_mpl/grads_default.rgb | 18 + ncl_colormaps_in_mpl/grads_rainbow.rgb | 17 + ncl_colormaps_in_mpl/gscyclic.rgb | 8 + ncl_colormaps_in_mpl/gsdtol.rgb | 33 + ncl_colormaps_in_mpl/gsltod.rgb | 33 + ncl_colormaps_in_mpl/gui_default.rgb | 26 + ncl_colormaps_in_mpl/helix.rgb | 256 ++++++ ncl_colormaps_in_mpl/helix1.rgb | 256 ++++++ ncl_colormaps_in_mpl/hlu_default.rgb | 36 + ncl_colormaps_in_mpl/hotcold_18lev.rgb | 25 + ncl_colormaps_in_mpl/hotcolr_19lev.rgb | 26 + ncl_colormaps_in_mpl/hotres.rgb | 256 ++++++ ncl_colormaps_in_mpl/lithology.rgb | 215 +++++ 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18 + ncl_colormaps_in_mpl/precip4_diff_19lev.rgb | 26 + ncl_colormaps_in_mpl/precip_11lev.rgb | 18 + ncl_colormaps_in_mpl/precip_diff_12lev.rgb | 19 + ncl_colormaps_in_mpl/precip_diff_1lev.rgb | 8 + ncl_colormaps_in_mpl/psgcap.rgb | 240 ++++++ ncl_colormaps_in_mpl/radar.rgb | 17 + ncl_colormaps_in_mpl/radar_1.rgb | 26 + ncl_colormaps_in_mpl/rainbow+gray.rgb | 240 ++++++ ncl_colormaps_in_mpl/rainbow+white+gray.rgb | 241 ++++++ ncl_colormaps_in_mpl/rainbow+white.rgb | 240 ++++++ ncl_colormaps_in_mpl/rainbow.rgb | 191 +++++ ncl_colormaps_in_mpl/rh_19lev.rgb | 26 + ncl_colormaps_in_mpl/seaice_1.rgb | 15 + ncl_colormaps_in_mpl/seaice_2.rgb | 16 + ncl_colormaps_in_mpl/so4_21.rgb | 24 + ncl_colormaps_in_mpl/so4_23.rgb | 26 + ncl_colormaps_in_mpl/spread_15lev.rgb | 22 + ncl_colormaps_in_mpl/srip_reanalysis.rgb | 21 + ncl_colormaps_in_mpl/sunshine_9lev.rgb | 16 + ncl_colormaps_in_mpl/sunshine_diff_12lev.rgb | 19 + ncl_colormaps_in_mpl/t2m_29lev.rgb | 36 + ncl_colormaps_in_mpl/tbrAvg1.rgb | 102 +++ ncl_colormaps_in_mpl/tbrStd1.rgb | 103 +++ ncl_colormaps_in_mpl/tbrVar1.rgb | 103 +++ ncl_colormaps_in_mpl/tbr_240-300.rgb | 202 +++++ ncl_colormaps_in_mpl/tbr_stdev_0-30.rgb | 202 +++++ ncl_colormaps_in_mpl/tbr_var_0-500.rgb | 202 +++++ ncl_colormaps_in_mpl/temp1.rgb | 63 ++ ncl_colormaps_in_mpl/temp_19lev.rgb | 26 + ncl_colormaps_in_mpl/temp_diff_18lev.rgb | 25 + ncl_colormaps_in_mpl/temp_diff_1lev.rgb | 8 + ncl_colormaps_in_mpl/testcmap.rgb | 203 +++++ ncl_colormaps_in_mpl/thelix.rgb | 258 ++++++ ncl_colormaps_in_mpl/topo_15lev.rgb | 22 + ncl_colormaps_in_mpl/uniform.rgb | 175 +++++ ncl_colormaps_in_mpl/vegetation_ClarkU.rgb | 258 ++++++ ncl_colormaps_in_mpl/vegetation_modis.rgb | 23 + ncl_colormaps_in_mpl/wgne15.rgb | 17 + ncl_colormaps_in_mpl/wh-bl-gr-ye-re.rgb | 202 +++++ ncl_colormaps_in_mpl/wind_17lev.rgb | 24 + ncl_colormaps_in_mpl/wxpEnIR.rgb | 102 +++ 270 files changed, 35553 insertions(+) create mode 100644 ncl_colormaps_in_mpl/3gauss.rgb create mode 100644 ncl_colormaps_in_mpl/3saw.rgb create mode 100644 ncl_colormaps_in_mpl/BkBlAqGrYeOrReViWh200.rgb create mode 100644 ncl_colormaps_in_mpl/BlAqGrWh2YeOrReVi22.rgb create mode 100644 ncl_colormaps_in_mpl/BlAqGrYeOrRe.rgb create mode 100644 ncl_colormaps_in_mpl/BlAqGrYeOrReVi200.rgb create mode 100644 ncl_colormaps_in_mpl/BlGrYeOrReVi200.rgb create mode 100644 ncl_colormaps_in_mpl/BlRe.rgb create mode 100644 ncl_colormaps_in_mpl/BlWhRe.rgb create mode 100644 ncl_colormaps_in_mpl/BlueDarkOrange18.rgb create mode 100644 ncl_colormaps_in_mpl/BlueDarkRed18.rgb create mode 100644 ncl_colormaps_in_mpl/BlueGreen14.rgb create mode 100644 ncl_colormaps_in_mpl/BlueRed.rgb create mode 100644 ncl_colormaps_in_mpl/BlueRedGray.rgb create mode 100644 ncl_colormaps_in_mpl/BlueWhiteOrangeRed.rgb create mode 100644 ncl_colormaps_in_mpl/BlueYellowRed.rgb create mode 100644 ncl_colormaps_in_mpl/BrownBlue12.rgb create mode 100644 ncl_colormaps_in_mpl/CBR_coldhot.rgb create mode 100644 ncl_colormaps_in_mpl/CBR_drywet.rgb create mode 100644 ncl_colormaps_in_mpl/CBR_set3.rgb create mode 100644 ncl_colormaps_in_mpl/CBR_wet.rgb create mode 100644 ncl_colormaps_in_mpl/Cat12.rgb create mode 100644 ncl_colormaps_in_mpl/GHRSST_anomaly.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_cool.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_copper.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_drywet.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_gebco.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_globe.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_gray.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_haxby.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_hot.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_jet.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_nighttime.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_no_green.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_ocean.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_paired.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_panoply.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_polar.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_red2green.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_relief.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_relief_oceanonly.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_seis.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_split.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_topo.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_wysiwyg.rgb create mode 100644 ncl_colormaps_in_mpl/GMT_wysiwygcont.rgb create mode 100644 ncl_colormaps_in_mpl/GSFC_landsat_udf_density.rgb create mode 100644 ncl_colormaps_in_mpl/GrayWhiteGray.rgb create mode 100644 ncl_colormaps_in_mpl/GreenMagenta16.rgb create mode 100644 ncl_colormaps_in_mpl/GreenYellow.rgb create mode 100644 ncl_colormaps_in_mpl/MPL_Accent.rgb create mode 100644 ncl_colormaps_in_mpl/MPL_Blues.rgb create mode 100644 ncl_colormaps_in_mpl/MPL_BrBG.rgb create mode 100644 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181 143 203 + 188 153 207 + 195 163 212 + 201 173 217 + 208 184 222 + 215 194 226 + 221 204 231 + 228 214 236 + 235 224 241 + 242 235 245 + 248 245 250 + 255 255 255 diff --git a/ncl_colormaps_in_mpl/BlAqGrWh2YeOrReVi22.rgb b/ncl_colormaps_in_mpl/BlAqGrWh2YeOrReVi22.rgb new file mode 100644 index 0000000..091b902 --- /dev/null +++ b/ncl_colormaps_in_mpl/BlAqGrWh2YeOrReVi22.rgb @@ -0,0 +1,24 @@ +ncolors= 22 +# r g b + 25 12 243 + 36 12 243 + 56 73 245 + 85 156 246 +111 233 179 + 93 201 97 + 80 170 40 + 81 164 25 +115 195 29 +152 220 31 +255 255 255 +255 255 255 +249 254 41 +233 222 36 +227 194 33 +219 161 32 +202 96 26 +192 49 24 +189 3 23 +133 0 28 + 73 1 63 + 44 4 94 diff --git a/ncl_colormaps_in_mpl/BlAqGrYeOrRe.rgb b/ncl_colormaps_in_mpl/BlAqGrYeOrRe.rgb new file mode 100644 index 0000000..d034144 --- /dev/null +++ b/ncl_colormaps_in_mpl/BlAqGrYeOrRe.rgb @@ -0,0 +1,102 @@ +ncolors= 100 +# r g b + 0 0 255 + 0 21 255 + 0 43 255 + 0 64 255 + 0 85 255 + 0 106 255 + 0 128 255 + 0 149 255 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0 + 255 72 0 + 255 64 0 + 255 56 0 + 255 48 0 + 255 40 0 + 255 32 0 + 255 24 0 + 255 16 0 + 255 8 0 + 255 0 0 diff --git a/ncl_colormaps_in_mpl/BlAqGrYeOrReVi200.rgb b/ncl_colormaps_in_mpl/BlAqGrYeOrReVi200.rgb new file mode 100644 index 0000000..f662811 --- /dev/null +++ b/ncl_colormaps_in_mpl/BlAqGrYeOrReVi200.rgb @@ -0,0 +1,202 @@ +ncolors= 200 +# r g b + 0 0 255 + 0 8 255 + 0 15 255 + 0 23 255 + 0 31 255 + 0 39 255 + 0 46 255 + 0 54 255 + 0 62 255 + 0 70 255 + 0 77 255 + 0 85 255 + 0 93 255 + 0 100 255 + 0 108 255 + 0 116 255 + 0 124 255 + 0 131 255 + 0 139 255 + 0 147 255 + 0 155 255 + 0 162 255 + 0 170 255 + 0 178 255 + 0 185 255 + 0 193 255 + 0 201 255 + 0 209 255 + 0 216 255 + 0 224 255 + 0 232 255 + 0 240 255 + 0 247 255 + 0 255 255 + 0 253 248 + 0 250 240 + 1 248 233 + 1 246 226 + 1 243 219 + 1 241 211 + 2 239 204 + 2 237 197 + 2 234 190 + 2 232 182 + 3 230 175 + 3 227 168 + 3 225 160 + 3 223 153 + 4 220 146 + 4 218 139 + 4 216 131 + 4 214 124 + 5 211 117 + 5 209 110 + 5 207 102 + 5 204 95 + 6 202 88 + 6 200 80 + 6 197 73 + 6 195 66 + 7 193 59 + 7 191 51 + 7 188 44 + 7 186 37 + 8 184 30 + 8 181 22 + 8 179 15 + 15 181 15 + 23 183 14 + 30 186 14 + 37 188 13 + 44 190 13 + 52 192 12 + 59 195 12 + 66 197 11 + 73 199 11 + 81 201 11 + 88 204 10 + 95 206 10 + 102 208 9 + 110 210 9 + 117 213 8 + 124 215 8 + 132 217 8 + 139 219 7 + 146 221 7 + 153 224 6 + 161 226 6 + 168 228 5 + 175 230 5 + 182 233 4 + 190 235 4 + 197 237 4 + 204 239 3 + 211 242 3 + 219 244 2 + 226 246 2 + 233 248 1 + 240 251 1 + 248 253 0 + 255 255 0 + 255 252 0 + 255 250 0 + 255 247 0 + 255 244 0 + 255 241 0 + 255 239 0 + 255 236 0 + 255 233 0 + 255 230 0 + 255 228 0 + 255 225 0 + 255 222 0 + 255 220 0 + 255 217 0 + 255 214 0 + 255 211 0 + 255 209 0 + 255 206 0 + 255 203 0 + 255 200 0 + 255 198 0 + 255 195 0 + 255 192 0 + 255 190 0 + 255 187 0 + 255 184 0 + 255 181 0 + 255 179 0 + 255 176 0 + 255 173 0 + 255 170 0 + 255 168 0 + 255 165 0 + 255 160 0 + 255 155 0 + 255 150 0 + 255 145 0 + 255 140 0 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1 31 213 + 2 36 207 + 2 40 201 + 2 45 195 + 2 49 189 + 2 54 183 + 3 58 177 + 3 63 171 + 3 67 165 + 3 72 159 + 3 76 153 + 4 81 147 + 4 85 141 + 4 90 135 + 4 94 129 + 4 98 123 + 5 103 117 + 5 107 111 + 5 112 105 + 5 116 99 + 5 121 93 + 6 125 87 + 6 130 81 + 6 134 75 + 6 139 69 + 6 143 63 + 7 148 57 + 7 152 51 + 7 157 45 + 7 161 39 + 7 166 33 + 8 170 27 + 8 175 21 + 8 179 15 + 14 181 15 + 20 183 14 + 27 185 14 + 33 187 14 + 39 189 13 + 45 190 13 + 51 192 12 + 57 194 12 + 64 196 12 + 70 198 11 + 76 200 11 + 82 202 11 + 88 204 10 + 94 206 10 + 101 208 9 + 107 209 9 + 113 211 9 + 119 213 8 + 125 215 8 + 132 217 8 + 138 219 7 + 144 221 7 + 150 223 6 + 156 225 6 + 162 227 6 + 169 228 5 + 175 230 5 + 181 232 5 + 187 234 4 + 193 236 4 + 199 238 3 + 206 240 3 + 212 242 3 + 218 244 2 + 224 246 2 + 230 247 2 + 236 249 1 + 243 251 1 + 249 253 0 + 255 255 0 + 255 253 0 + 255 250 0 + 255 248 0 + 255 246 0 + 255 243 0 + 255 241 0 + 255 239 0 + 255 237 0 + 255 234 0 + 255 232 0 + 255 230 0 + 255 227 0 + 255 225 0 + 255 223 0 + 255 220 0 + 255 218 0 + 255 216 0 + 255 213 0 + 255 211 0 + 255 209 0 + 255 207 0 + 255 204 0 + 255 202 0 + 255 200 0 + 255 197 0 + 255 195 0 + 255 193 0 + 255 190 0 + 255 188 0 + 255 186 0 + 255 183 0 + 255 181 0 + 255 179 0 + 255 177 0 + 255 174 0 + 255 172 0 + 255 170 0 + 255 167 0 + 255 165 0 + 255 161 0 + 255 157 0 + 255 153 0 + 255 149 0 + 255 144 0 + 255 140 0 + 255 136 0 + 255 132 0 + 255 128 0 + 255 124 0 + 255 120 0 + 255 116 0 + 255 111 0 + 255 107 0 + 255 103 0 + 255 99 0 + 255 95 0 + 255 91 0 + 255 87 0 + 255 83 0 + 255 78 0 + 255 74 0 + 255 70 0 + 255 66 0 + 255 62 0 + 255 58 0 + 255 54 0 + 255 50 0 + 255 45 0 + 255 41 0 + 255 37 0 + 255 33 0 + 255 29 0 + 255 25 0 + 255 21 0 + 255 17 0 + 255 12 0 + 255 8 0 + 255 4 0 + 255 0 0 + 251 0 3 + 247 0 7 + 242 0 10 + 238 0 14 + 234 0 17 + 230 0 20 + 226 0 24 + 221 0 27 + 217 0 31 + 213 0 34 + 209 0 37 + 205 0 41 + 200 0 44 + 196 0 48 + 192 0 51 + 188 0 54 + 184 0 58 + 179 0 61 + 175 0 65 + 171 0 68 + 167 0 71 + 163 0 75 + 158 0 78 + 154 0 82 + 150 0 85 + 146 0 88 + 142 0 92 + 137 0 95 + 133 0 99 + 129 0 102 + 125 0 105 + 121 0 109 + 116 0 112 + 112 0 116 + 108 0 119 + 104 0 122 + 100 0 126 + 95 0 129 + 91 0 133 + 87 0 136 diff --git a/ncl_colormaps_in_mpl/BlRe.rgb b/ncl_colormaps_in_mpl/BlRe.rgb new file mode 100644 index 0000000..4559a11 --- /dev/null +++ b/ncl_colormaps_in_mpl/BlRe.rgb @@ -0,0 +1,98 @@ +ncolors= 96 +# r g b + 0 0 128 + 0 0 133 + 0 0 138 + 0 0 143 + 0 0 148 + 0 0 153 + 0 0 158 + 0 0 164 + 0 0 169 + 0 0 174 + 0 0 179 + 0 0 184 + 0 0 189 + 0 0 194 + 0 0 199 + 0 0 204 + 0 0 209 + 0 0 214 + 0 0 219 + 0 0 225 + 0 0 230 + 0 0 235 + 0 0 240 + 0 0 245 + 0 0 250 + 0 0 255 + 10 10 255 + 20 20 255 + 31 31 255 + 41 41 255 + 51 51 255 + 61 61 255 + 71 71 255 + 82 82 255 + 92 92 255 + 102 102 255 + 112 112 255 + 122 122 255 + 133 133 255 + 143 143 255 + 153 153 255 + 163 163 255 + 173 173 255 + 184 184 255 + 194 194 255 + 204 204 255 + 214 214 255 + 224 224 255 + 255 224 224 + 255 214 214 + 255 204 204 + 255 194 194 + 255 184 184 + 255 173 173 + 255 163 163 + 255 153 153 + 255 143 143 + 255 133 133 + 255 122 122 + 255 112 112 + 255 102 102 + 255 92 92 + 255 82 82 + 255 71 71 + 255 61 61 + 255 51 51 + 255 41 41 + 255 31 31 + 255 20 20 + 255 10 10 + 255 0 0 + 250 0 0 + 245 0 0 + 240 0 0 + 235 0 0 + 230 0 0 + 225 0 0 + 219 0 0 + 214 0 0 + 209 0 0 + 204 0 0 + 199 0 0 + 194 0 0 + 189 0 0 + 184 0 0 + 179 0 0 + 174 0 0 + 169 0 0 + 164 0 0 + 158 0 0 + 153 0 0 + 148 0 0 + 143 0 0 + 138 0 0 + 133 0 0 + 128 0 0 diff --git a/ncl_colormaps_in_mpl/BlWhRe.rgb b/ncl_colormaps_in_mpl/BlWhRe.rgb new file mode 100644 index 0000000..62c8571 --- /dev/null +++ b/ncl_colormaps_in_mpl/BlWhRe.rgb @@ -0,0 +1,103 @@ +ncolors= 101 +# r g b + 0 0 128 + 0 0 133 + 0 0 138 + 0 0 143 + 0 0 148 + 0 0 153 + 0 0 158 + 0 0 164 + 0 0 169 + 0 0 174 + 0 0 179 + 0 0 184 + 0 0 189 + 0 0 194 + 0 0 199 + 0 0 204 + 0 0 209 + 0 0 214 + 0 0 219 + 0 0 225 + 0 0 230 + 0 0 235 + 0 0 240 + 0 0 245 + 0 0 250 + 0 0 255 + 10 10 255 + 20 20 255 + 31 31 255 + 41 41 255 + 51 51 255 + 61 61 255 + 71 71 255 + 82 82 255 + 92 92 255 + 102 102 255 + 112 112 255 + 122 122 255 + 133 133 255 + 143 143 255 + 153 153 255 + 163 163 255 + 173 173 255 + 184 184 255 + 194 194 255 + 204 204 255 + 214 214 255 + 224 224 255 + 235 235 255 + 245 245 255 + 255 255 255 + 255 245 245 + 255 235 235 + 255 224 224 + 255 214 214 + 255 204 204 + 255 194 194 + 255 184 184 + 255 173 173 + 255 163 163 + 255 153 153 + 255 143 143 + 255 133 133 + 255 122 122 + 255 112 112 + 255 102 102 + 255 92 92 + 255 82 82 + 255 71 71 + 255 61 61 + 255 51 51 + 255 41 41 + 255 31 31 + 255 20 20 + 255 10 10 + 255 0 0 + 250 0 0 + 245 0 0 + 240 0 0 + 235 0 0 + 230 0 0 + 225 0 0 + 219 0 0 + 214 0 0 + 209 0 0 + 204 0 0 + 199 0 0 + 194 0 0 + 189 0 0 + 184 0 0 + 179 0 0 + 174 0 0 + 169 0 0 + 164 0 0 + 158 0 0 + 153 0 0 + 148 0 0 + 143 0 0 + 138 0 0 + 133 0 0 + 128 0 0 diff --git a/ncl_colormaps_in_mpl/BlueDarkOrange18.rgb b/ncl_colormaps_in_mpl/BlueDarkOrange18.rgb new file mode 100644 index 0000000..7ceb1cc --- /dev/null +++ b/ncl_colormaps_in_mpl/BlueDarkOrange18.rgb @@ -0,0 +1,25 @@ +# Blue to Dark Orange, 18 steps +# +# Taken from Department of Geography, University of Oregon + +ncolors = 18 + +# r g b + 0 102 102 + 0 153 153 + 0 204 204 + 0 255 255 + 51 255 255 + 101 255 255 + 153 255 255 + 178 255 255 + 203 255 255 + 229 255 255 + 255 229 203 + 255 202 153 + 255 173 101 + 255 142 51 + 255 110 0 + 204 85 0 + 153 61 0 + 102 39 0 diff --git a/ncl_colormaps_in_mpl/BlueDarkRed18.rgb b/ncl_colormaps_in_mpl/BlueDarkRed18.rgb new file mode 100644 index 0000000..b0428ba --- /dev/null +++ b/ncl_colormaps_in_mpl/BlueDarkRed18.rgb @@ -0,0 +1,25 @@ +# Blue to Dark Red, 18 steps, based on ColorBrewer +# +# Taken from Department of Geography, University of Oregon + +ncolors = 18 + +# r g b + 36 0 216 + 24 28 247 + 40 87 255 + 61 135 255 + 86 176 255 + 117 211 255 + 153 234 255 + 188 249 255 + 234 255 255 + 255 255 234 + 255 241 188 + 255 214 153 + 255 172 117 + 255 120 86 + 255 61 61 + 247 39 53 + 216 21 47 + 165 0 33 diff --git a/ncl_colormaps_in_mpl/BlueGreen14.rgb b/ncl_colormaps_in_mpl/BlueGreen14.rgb new file mode 100644 index 0000000..11ce8cf --- /dev/null +++ b/ncl_colormaps_in_mpl/BlueGreen14.rgb @@ -0,0 +1,21 @@ +# Blue to Green +# +# Taken from Department of Geography, University of Oregon + +ncolors = 14 + +# r g b + 0 0 255 + 51 51 255 + 101 101 255 + 153 153 255 + 178 178 255 + 203 203 255 + 229 229 255 + 229 255 229 + 203 255 203 + 178 255 178 + 153 255 153 + 101 255 101 + 51 255 51 + 0 255 0 diff --git a/ncl_colormaps_in_mpl/BlueRed.rgb b/ncl_colormaps_in_mpl/BlueRed.rgb new file mode 100644 index 0000000..37c14b3 --- /dev/null +++ b/ncl_colormaps_in_mpl/BlueRed.rgb @@ -0,0 +1,253 @@ +ncolors = 252 +25 82 255 +27 84 255 +28 85 255 +30 86 255 +31 87 255 +33 88 255 +34 89 255 +36 90 255 +37 92 255 +39 93 255 +40 94 255 +42 95 255 +43 96 255 +45 97 255 +46 98 255 +48 100 255 +49 101 255 +51 102 255 +53 103 255 +54 104 255 +56 105 255 +57 106 255 +59 108 255 +60 109 255 +62 110 255 +63 111 255 +65 112 255 +66 113 255 +68 115 255 +69 116 255 +71 117 255 +72 118 255 +74 119 255 +75 120 255 +77 121 255 +79 123 255 +80 124 255 +82 125 255 +83 126 255 +85 127 255 +86 128 255 +88 129 255 +89 131 255 +91 132 255 +92 133 255 +94 134 255 +95 135 255 +97 136 255 +98 137 255 +100 139 255 +102 140 255 +103 141 255 +105 142 255 +106 143 255 +108 144 255 +109 145 255 +111 147 255 +112 148 255 +114 149 255 +115 150 255 +117 151 255 +118 152 255 +120 154 255 +121 155 255 +123 156 255 +124 157 255 +126 158 255 +128 159 255 +129 160 255 +131 162 255 +132 163 255 +134 164 255 +135 165 255 +137 166 255 +138 167 255 +140 168 255 +141 170 255 +143 171 255 +144 172 255 +146 173 255 +147 174 255 +149 175 255 +150 176 255 +152 178 255 +154 179 255 +155 180 255 +157 181 255 +158 182 255 +160 183 255 +161 185 255 +163 186 255 +164 187 255 +166 188 255 +167 189 255 +169 190 255 +170 191 255 +172 193 255 +173 194 255 +175 195 255 +176 196 255 +178 197 255 +180 198 255 +181 199 255 +183 201 255 +184 202 255 +186 203 255 +187 204 255 +189 205 255 +190 206 255 +192 207 255 +193 209 255 +195 210 255 +196 211 255 +198 212 255 +199 213 255 +201 214 255 +202 215 255 +204 217 255 +206 218 255 +207 219 255 +209 220 255 +210 221 255 +212 222 255 +213 224 255 +215 225 255 +216 226 255 +255 216 216 +255 215 215 +255 213 213 +255 212 212 +255 210 210 +255 209 209 +255 207 207 +255 206 206 +255 204 204 +255 202 202 +255 201 201 +255 199 199 +255 198 198 +255 196 196 +255 195 195 +255 193 193 +255 192 192 +255 190 190 +255 189 189 +255 187 187 +255 186 186 +255 184 184 +255 183 183 +255 181 181 +255 180 180 +255 178 178 +255 176 176 +255 175 175 +255 173 173 +255 172 172 +255 170 170 +255 169 169 +255 167 167 +255 166 166 +255 164 164 +255 163 163 +255 161 161 +255 160 160 +255 158 158 +255 157 157 +255 155 155 +255 154 154 +255 152 152 +255 150 150 +255 149 149 +255 147 147 +255 146 146 +255 144 144 +255 143 143 +255 141 141 +255 140 140 +255 138 138 +255 137 137 +255 135 135 +255 134 134 +255 132 132 +255 131 131 +255 129 129 +255 128 128 +255 126 126 +255 124 124 +255 123 123 +255 121 121 +255 120 120 +255 118 118 +255 117 117 +255 115 115 +255 114 114 +255 112 112 +255 111 111 +255 109 109 +255 108 108 +255 106 106 +255 105 105 +255 103 103 +255 101 101 +255 100 100 +255 98 98 +255 97 97 +255 95 95 +255 94 94 +255 92 92 +255 91 91 +255 89 89 +255 88 88 +255 86 86 +255 85 85 +255 83 83 +255 82 82 +255 80 80 +255 79 79 +255 77 77 +255 75 75 +255 74 74 +255 72 72 +255 71 71 +255 69 69 +255 68 68 +255 66 66 +255 65 65 +255 63 63 +255 62 62 +255 60 60 +255 59 59 +255 57 57 +255 56 56 +255 54 54 +255 53 53 +255 51 51 +255 49 49 +255 48 48 +255 46 46 +255 45 45 +255 43 43 +255 42 42 +255 40 40 +255 39 39 +255 37 37 +255 36 36 +255 34 34 +255 33 33 +255 31 31 +255 30 30 +255 28 28 +255 27 27 +255 25 25 diff --git a/ncl_colormaps_in_mpl/BlueRedGray.rgb b/ncl_colormaps_in_mpl/BlueRedGray.rgb new file mode 100644 index 0000000..fd1a73d --- /dev/null +++ b/ncl_colormaps_in_mpl/BlueRedGray.rgb @@ -0,0 +1,254 @@ +ncolors = 253 +25 82 255 +27 84 255 +28 85 255 +30 86 255 +31 87 255 +33 88 255 +34 89 255 +36 90 255 +37 92 255 +39 93 255 +40 94 255 +42 95 255 +43 96 255 +45 97 255 +46 98 255 +48 100 255 +49 101 255 +51 102 255 +53 103 255 +54 104 255 +56 105 255 +57 106 255 +59 108 255 +60 109 255 +62 110 255 +63 111 255 +65 112 255 +66 113 255 +68 115 255 +69 116 255 +71 117 255 +72 118 255 +74 119 255 +75 120 255 +77 121 255 +79 123 255 +80 124 255 +82 125 255 +83 126 255 +85 127 255 +86 128 255 +88 129 255 +89 131 255 +91 132 255 +92 133 255 +94 134 255 +95 135 255 +97 136 255 +98 137 255 +100 139 255 +102 140 255 +103 141 255 +105 142 255 +106 143 255 +108 144 255 +109 145 255 +111 147 255 +112 148 255 +114 149 255 +115 150 255 +117 151 255 +118 152 255 +120 154 255 +121 155 255 +123 156 255 +124 157 255 +126 158 255 +128 159 255 +129 160 255 +131 162 255 +132 163 255 +134 164 255 +135 165 255 +137 166 255 +138 167 255 +140 168 255 +141 170 255 +143 171 255 +144 172 255 +146 173 255 +147 174 255 +149 175 255 +150 176 255 +152 178 255 +154 179 255 +155 180 255 +157 181 255 +158 182 255 +160 183 255 +161 185 255 +163 186 255 +164 187 255 +166 188 255 +167 189 255 +169 190 255 +170 191 255 +172 193 255 +173 194 255 +175 195 255 +176 196 255 +178 197 255 +180 198 255 +181 199 255 +183 201 255 +184 202 255 +186 203 255 +187 204 255 +189 205 255 +190 206 255 +192 207 255 +193 209 255 +195 210 255 +196 211 255 +198 212 255 +199 213 255 +201 214 255 +202 215 255 +204 217 255 +206 218 255 +207 219 255 +209 220 255 +210 221 255 +212 222 255 +213 224 255 +215 225 255 +216 226 255 +255 216 216 +255 215 215 +255 213 213 +255 212 212 +255 210 210 +255 209 209 +255 207 207 +255 206 206 +255 204 204 +255 202 202 +255 201 201 +255 199 199 +255 198 198 +255 196 196 +255 195 195 +255 193 193 +255 192 192 +255 190 190 +255 189 189 +255 187 187 +255 186 186 +255 184 184 +255 183 183 +255 181 181 +255 180 180 +255 178 178 +255 176 176 +255 175 175 +255 173 173 +255 172 172 +255 170 170 +255 169 169 +255 167 167 +255 166 166 +255 164 164 +255 163 163 +255 161 161 +255 160 160 +255 158 158 +255 157 157 +255 155 155 +255 154 154 +255 152 152 +255 150 150 +255 149 149 +255 147 147 +255 146 146 +255 144 144 +255 143 143 +255 141 141 +255 140 140 +255 138 138 +255 137 137 +255 135 135 +255 134 134 +255 132 132 +255 131 131 +255 129 129 +255 128 128 +255 126 126 +255 124 124 +255 123 123 +255 121 121 +255 120 120 +255 118 118 +255 117 117 +255 115 115 +255 114 114 +255 112 112 +255 111 111 +255 109 109 +255 108 108 +255 106 106 +255 105 105 +255 103 103 +255 101 101 +255 100 100 +255 98 98 +255 97 97 +255 95 95 +255 94 94 +255 92 92 +255 91 91 +255 89 89 +255 88 88 +255 86 86 +255 85 85 +255 83 83 +255 82 82 +255 80 80 +255 79 79 +255 77 77 +255 75 75 +255 74 74 +255 72 72 +255 71 71 +255 69 69 +255 68 68 +255 66 66 +255 65 65 +255 63 63 +255 62 62 +255 60 60 +255 59 59 +255 57 57 +255 56 56 +255 54 54 +255 53 53 +255 51 51 +255 49 49 +255 48 48 +255 46 46 +255 45 45 +255 43 43 +255 42 42 +255 40 40 +255 39 39 +255 37 37 +255 36 36 +255 34 34 +255 33 33 +255 31 31 +255 30 30 +255 28 28 +255 27 27 +255 25 25 +211 211 211 diff --git a/ncl_colormaps_in_mpl/BlueWhiteOrangeRed.rgb b/ncl_colormaps_in_mpl/BlueWhiteOrangeRed.rgb new file mode 100644 index 0000000..e690f39 --- /dev/null +++ b/ncl_colormaps_in_mpl/BlueWhiteOrangeRed.rgb @@ -0,0 +1,256 @@ +ncolors=254 +# R G B + 27 44 98 # dark + 27 46 101 # + 28 48 104 # + 28 50 107 # + 29 52 110 # + 29 53 112 # + 29 55 115 # + 30 57 118 # + 30 59 121 # + 30 61 124 # + 31 63 127 # + 31 65 130 # + 32 67 133 # + 32 68 135 # + 32 70 138 # + 33 72 141 # + 33 74 144 # + 33 76 147 # + 34 78 150 # + 34 80 153 # + 35 82 156 # + 35 83 158 # + 35 85 161 # + 36 89 167 # blue + 38 92 169 # + 40 95 171 # + 42 98 173 # + 45 102 175 # + 47 105 177 # + 49 108 179 # + 51 111 181 # + 53 114 183 # + 55 117 185 # + 57 120 187 # + 59 123 189 # + 62 127 192 # + 64 130 194 # + 66 133 196 # + 68 136 198 # + 70 139 200 # + 72 142 202 # + 74 145 204 # + 76 148 206 # + 79 152 208 # + 81 155 210 # + 83 158 212 # + 87 164 216 # to + 90 166 217 # + 93 169 219 # + 96 171 220 # + 99 173 221 # + 102 175 222 # + 105 178 224 # + 107 180 225 # + 110 182 226 # + 113 184 228 # + 116 187 229 # + 119 189 230 # + 122 191 232 # + 125 193 233 # + 128 196 234 # + 131 198 235 # + 134 200 237 # + 137 202 238 # + 140 205 239 # + 142 207 241 # + 145 209 242 # + 148 211 243 # + 151 214 244 # + 157 218 247 # light + 159 219 247 # + 162 220 247 # + 164 221 247 # + 167 222 247 # + 169 222 247 # + 172 223 248 # + 174 224 248 # + 176 225 248 # + 179 226 248 # + 181 227 248 # + 184 228 248 # + 186 229 248 # + 188 229 248 # + 191 230 248 # + 193 231 248 # + 196 232 248 # + 198 233 248 # + 201 234 249 # + 203 235 249 # + 205 236 249 # + 208 236 249 # + 210 237 249 # + 215 239 249 # blue + 217 240 249 # + 218 240 250 # + 220 241 250 # + 222 242 250 # + 223 242 250 # + 225 243 251 # + 227 244 251 # + 228 244 251 # + 230 245 251 # + 232 246 252 # + 233 246 252 # + 235 247 252 # + 237 248 252 # + 238 248 253 # + 240 249 253 # + 242 250 253 # + 243 250 253 # + 245 251 254 # + 247 252 254 # + 248 252 254 # + 250 253 254 # + 252 254 255 # + 255 255 255 # white + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # + 255 255 255 # white + 255 254 251 # + 255 253 247 # + 255 253 243 # + 255 252 238 # + 254 251 234 # + 254 250 230 # + 254 249 226 # + 254 248 222 # + 254 248 218 # + 254 247 213 # + 254 246 209 # + 254 245 205 # + 253 244 201 # + 253 243 197 # + 253 243 193 # + 253 242 188 # + 253 241 184 # + 253 240 180 # + 253 239 176 # + 253 238 172 # + 252 238 168 # + 252 237 163 # + 252 235 155 # light + 252 233 151 # + 252 230 146 # + 252 228 142 # + 252 225 138 # + 252 223 133 # + 253 220 129 # + 253 218 124 # + 253 215 120 # + 253 213 116 # + 253 210 111 # + 253 208 107 # + 253 206 103 # + 253 203 98 # + 253 201 94 # + 253 198 89 # + 253 196 85 # + 253 193 81 # + 254 191 76 # + 254 188 72 # + 254 186 68 # + 254 183 63 # + 254 181 59 # + 254 176 50 # orange + 254 173 50 # + 253 170 49 # + 253 167 49 # + 253 164 49 # + 252 161 48 # + 252 159 48 # + 251 156 47 # + 251 153 47 # + 251 150 47 # + 250 147 46 # + 250 144 46 # + 250 141 46 # + 249 138 45 # + 249 135 45 # + 248 132 44 # + 248 129 44 # + 248 126 44 # + 247 124 43 # + 247 121 43 # + 247 118 43 # + 246 115 42 # + 246 112 42 # + 245 106 41 # to + 244 103 41 # + 242 100 41 # + 241 97 41 # + 239 94 41 # + 238 90 41 # + 237 87 41 # + 235 84 41 # + 234 81 41 # + 232 78 41 # + 231 75 41 # + 229 72 41 # + 228 69 41 # + 227 65 40 # + 225 62 40 # + 224 59 40 # + 222 56 40 # + 221 53 40 # + 220 50 40 # + 218 47 40 # + 217 44 40 # + 215 40 40 # + 214 37 40 # + 211 31 40 # dark + 208 31 39 # + 206 30 39 # + 203 30 38 # + 200 29 38 # + 197 29 37 # + 195 29 36 # + 192 28 36 # + 189 28 35 # + 187 27 34 # + 184 27 34 # + 181 26 33 # + 179 26 33 # + 176 26 32 # + 173 25 31 # + 170 25 31 # + 168 24 30 # + 165 24 29 # + 162 24 29 # + 160 23 28 # + 157 23 28 # + 154 22 27 # + 151 22 26 # + 146 21 25 # red diff --git a/ncl_colormaps_in_mpl/BlueYellowRed.rgb b/ncl_colormaps_in_mpl/BlueYellowRed.rgb new file mode 100644 index 0000000..1239e84 --- /dev/null +++ b/ncl_colormaps_in_mpl/BlueYellowRed.rgb @@ -0,0 +1,256 @@ +ncolors=254 +# R G B + 5 35 80 # blue temp_19lev + 5 37 83 # + 5 39 86 # + 5 40 89 # + 5 42 92 # + 6 44 95 # + 6 46 98 # + 6 48 100 # + 6 49 103 # + 6 51 106 # + 6 53 109 # + 6 55 112 # + 6 57 115 # + 7 59 118 # + 7 60 121 # + 7 62 124 # + 7 64 127 # + 7 66 130 # + 7 68 133 # + 7 69 136 # + 7 71 138 # + 7 73 141 # + 8 75 144 # + 8 77 147 # + 8 78 150 # + 8 82 156 # blue temp_19lev + 10 84 158 # + 12 87 159 # + 15 89 161 # + 17 92 163 # + 19 94 164 # + 21 97 166 # + 24 99 168 # + 26 102 169 # + 28 104 171 # + 30 107 173 # + 33 109 174 # + 35 112 176 # + 37 114 178 # + 39 116 179 # + 41 119 181 # + 44 121 182 # + 46 124 184 # + 48 126 186 # + 50 129 187 # + 53 131 189 # + 55 134 191 # + 57 136 192 # + 59 139 194 # + 62 141 196 # + 66 146 199 # blue temp_19lev + 68 147 200 # + 69 149 200 # + 71 150 201 # + 72 152 201 # + 74 153 202 # + 76 155 202 # + 77 156 203 # + 79 157 204 # + 81 159 204 # + 82 160 205 # + 84 162 205 # + 85 163 206 # + 87 165 207 # + 89 166 207 # + 90 167 208 # + 92 169 208 # + 93 170 209 # + 95 172 209 # + 97 173 210 # + 98 174 211 # + 100 176 211 # + 102 177 212 # + 103 179 212 # + 105 180 213 # + 106 182 213 # + 108 183 214 # blue temp_19lev + 110 184 215 # + 113 186 215 # + 115 187 216 # + 118 189 216 # + 120 190 217 # + 122 192 218 # + 125 193 218 # + 127 194 219 # + 129 196 220 # + 132 197 220 # + 134 199 221 # + 137 200 221 # + 139 202 222 # + 141 203 223 # + 144 204 223 # + 146 206 224 # + 149 207 224 # + 151 209 225 # + 153 210 226 # + 156 211 226 # + 158 213 227 # + 160 214 228 # + 163 216 228 # + 165 217 229 # + 170 220 230 # blue temp_19lev + 172 221 231 # + 174 222 232 # + 176 223 233 # + 178 224 234 # + 179 225 235 # + 181 226 236 # + 183 227 237 # + 185 228 238 # + 187 229 239 # + 189 230 240 # + 191 231 241 # + 193 232 242 # + 195 233 243 # + 196 233 243 # + 198 234 244 # + 200 235 245 # + 202 236 246 # + 204 237 247 # + 206 238 248 # + 208 239 249 # + 210 240 250 # + 211 241 251 # + 213 242 252 # + 215 243 253 # + 219 245 255 # blue temp_19lev + 255 255 200 # red BlueDarkRed18 + 255 254 197 # + 255 253 193 # + 255 252 190 # + 255 251 187 # + 255 250 184 # + 255 249 180 # + 255 248 177 # + 255 247 174 # + 255 246 171 # + 255 245 167 # + 255 244 164 # + 255 243 161 # + 255 243 158 # + 255 242 154 # + 255 241 151 # + 255 240 148 # + 255 239 144 # + 255 238 141 # + 255 237 138 # + 255 236 135 # + 255 235 131 # + 255 234 128 # + 255 233 125 # + 255 232 122 # + 255 230 115 # red BlueDarkRed20 + 255 229 113 # + 254 227 111 # + 254 226 109 # + 253 225 108 # + 253 224 106 # + 252 222 104 # + 252 221 102 # + 251 220 100 # + 251 219 98 # + 250 217 97 # + 250 216 95 # + 249 215 93 # + 249 214 91 # + 248 212 89 # + 248 211 87 # + 247 210 85 # + 247 208 84 # + 246 207 82 # + 246 206 80 # + 245 205 78 # + 245 203 76 # + 244 202 74 # + 244 201 73 # + 243 200 71 # + 242 197 67 # red BlueDarkRed21 + 242 194 65 # + 241 191 63 # + 241 188 62 # + 240 185 60 # + 240 182 58 # + 239 179 56 # + 239 176 54 # + 238 173 53 # + 238 170 51 # + 237 167 49 # + 237 164 47 # + 236 161 45 # + 236 159 44 # + 236 156 42 # + 235 153 40 # + 235 150 38 # + 234 147 36 # + 234 144 34 # + 233 141 33 # + 233 138 31 # + 232 135 29 # + 232 132 27 # + 231 129 25 # + 231 126 24 # + 230 123 22 # + 230 120 20 # red BlueDarkRed23 + 229 118 19 # + 228 116 18 # + 227 114 18 # + 225 112 17 # + 224 110 16 # + 223 108 15 # + 222 107 15 # + 221 105 14 # + 220 103 13 # + 218 101 12 # + 217 99 12 # + 216 97 11 # + 215 95 10 # + 214 93 9 # + 213 91 8 # + 212 89 8 # + 210 87 7 # + 209 85 6 # + 208 83 5 # + 207 82 5 # + 206 80 4 # + 205 78 3 # + 203 76 2 # + 202 74 2 # + 200 70 0 # red BlueDarkRed25 + 198 69 1 # + 195 68 2 # + 193 67 3 # + 190 65 4 # + 188 64 4 # + 185 63 5 # + 183 62 6 # + 180 61 7 # + 178 60 8 # + 175 58 9 # + 173 57 10 # + 170 56 11 # + 168 55 12 # + 165 54 12 # + 163 53 13 # + 160 52 14 # + 158 50 15 # + 155 49 16 # + 153 48 17 # + 150 47 18 # + 148 46 19 # + 145 45 19 # + 143 43 20 # + 140 42 21 # + 135 40 23 # red BlueDarkRed26 diff --git a/ncl_colormaps_in_mpl/BrownBlue12.rgb b/ncl_colormaps_in_mpl/BrownBlue12.rgb new file mode 100644 index 0000000..07d4cdd --- /dev/null +++ b/ncl_colormaps_in_mpl/BrownBlue12.rgb @@ -0,0 +1,19 @@ +# Brown to Blue, 12 steps +# +# Taken from Department of Geography, University of Oregon + +ncolors = 12 + +# r g b + 51 25 0 + 102 47 0 + 153 96 53 + 204 155 122 + 216 175 151 + 242 218 205 + 204 253 255 + 153 248 255 + 101 239 255 + 50 227 255 + 0 169 204 + 0 122 153 diff --git a/ncl_colormaps_in_mpl/CBR_coldhot.rgb b/ncl_colormaps_in_mpl/CBR_coldhot.rgb new file mode 100644 index 0000000..30ce580 --- /dev/null +++ b/ncl_colormaps_in_mpl/CBR_coldhot.rgb @@ -0,0 +1,13 @@ +ncolors = 11 +;R G B + 5 48 97 + 33 102 172 + 67 147 195 +146 197 222 +209 229 240 +247 247 247 +254 219 199 +244 165 130 +214 96 77 +178 24 43 +103 0 31 diff --git a/ncl_colormaps_in_mpl/CBR_drywet.rgb b/ncl_colormaps_in_mpl/CBR_drywet.rgb new file mode 100644 index 0000000..8bfb1ba --- /dev/null +++ b/ncl_colormaps_in_mpl/CBR_drywet.rgb @@ -0,0 +1,13 @@ +ncolors = 11 +;R G B + 84 48 5 +140 81 10 +191 129 45 +223 194 125 +246 232 195 +245 245 245 +199 234 229 +128 205 193 + 53 151 143 + 1 102 95 + 0 60 48 diff --git a/ncl_colormaps_in_mpl/CBR_set3.rgb b/ncl_colormaps_in_mpl/CBR_set3.rgb new file mode 100644 index 0000000..c29ffc6 --- /dev/null +++ b/ncl_colormaps_in_mpl/CBR_set3.rgb @@ -0,0 +1,14 @@ +ncolors = 12 +;R G B +141 211 199 +255 255 179 +190 186 218 +251 128 114 +128 177 211 +253 180 98 +179 222 105 +252 205 229 +217 217 217 +188 128 189 +204 235 197 +255 237 111 diff --git a/ncl_colormaps_in_mpl/CBR_wet.rgb b/ncl_colormaps_in_mpl/CBR_wet.rgb new file mode 100644 index 0000000..33db173 --- /dev/null +++ b/ncl_colormaps_in_mpl/CBR_wet.rgb @@ -0,0 +1,13 @@ +ncolors = 11 +;R G B +255 255 255 +247 252 240 +224 243 219 +204 235 197 +168 221 181 +123 204 196 + 78 179 211 + 43 140 190 + 8 104 172 + 8 64 129 + 0 32 62 diff --git a/ncl_colormaps_in_mpl/Cat12.rgb b/ncl_colormaps_in_mpl/Cat12.rgb new file mode 100644 index 0000000..4523258 --- /dev/null +++ b/ncl_colormaps_in_mpl/Cat12.rgb @@ -0,0 +1,19 @@ +# Categorical 12-step scheme, after ColorBrewer 11-step Paired Scheme +# +# Taken from Department of Geography, University of Oregon + +ncolors = 12 + +# r g b + 255 191 127 + 255 127 0 + 255 255 153 + 255 255 50 + 178 255 140 + 50 255 0 + 165 237 255 + 25 178 255 + 204 191 255 + 101 76 255 + 255 153 191 + 229 25 50 diff --git a/ncl_colormaps_in_mpl/GHRSST_anomaly.rgb b/ncl_colormaps_in_mpl/GHRSST_anomaly.rgb new file mode 100644 index 0000000..1adf437 --- /dev/null +++ b/ncl_colormaps_in_mpl/GHRSST_anomaly.rgb @@ -0,0 +1,44 @@ +ncolors= 42 +# r g b + 107 0 219 + 122 0 213 + 138 0 208 + 156 0 201 + 131 24 209 + 85 60 225 + 39 97 241 + 0 133 255 + 0 169 255 + 0 211 255 + 0 247 255 + 29 255 226 + 65 255 190 + 102 255 154 + 133 255 131 + 154 255 141 + 173 255 150 + 191 255 159 + 192 238 168 + 191 220 177 + 191 202 186 + 202 202 183 + 220 220 168 + 238 238 154 + 255 254 137 + 255 236 97 + 255 218 58 + 255 197 11 + 255 179 0 + 255 161 0 + 255 142 0 + 255 120 0 + 255 84 0 + 255 41 0 + 255 5 0 + 246 0 37 + 236 0 79 + 227 0 122 + 211 0 135 + 180 0 85 + 154 0 43 + 128 0 0 diff --git a/ncl_colormaps_in_mpl/GMT_cool.rgb b/ncl_colormaps_in_mpl/GMT_cool.rgb new file mode 100644 index 0000000..520a700 --- /dev/null +++ b/ncl_colormaps_in_mpl/GMT_cool.rgb @@ -0,0 +1,12 @@ +ncolors= 10 +# r g b +0.050000 0.950000 1.000000 +0.150000 0.850000 1.000000 +0.250000 0.750000 1.000000 +0.350000 0.650000 1.000000 +0.450000 0.550000 1.000000 +0.550000 0.450000 1.000000 +0.650000 0.350000 1.000000 +0.750000 0.250000 1.000000 +0.850000 0.150000 1.000000 +0.950000 0.050000 1.000000 diff --git a/ncl_colormaps_in_mpl/GMT_copper.rgb b/ncl_colormaps_in_mpl/GMT_copper.rgb new file mode 100644 index 0000000..c04aeb6 --- /dev/null +++ b/ncl_colormaps_in_mpl/GMT_copper.rgb @@ -0,0 +1,52 @@ +ncolors= 50 +# r g b +0.012549 0.007825 0.005020 +0.037647 0.023474 0.015059 +0.062745 0.039123 0.025098 +0.087843 0.054773 0.035137 +0.112941 0.070422 0.045176 +0.138039 0.086072 0.055216 +0.163137 0.101721 0.065255 +0.188235 0.117370 0.075294 +0.213333 0.133020 0.085333 +0.238431 0.148669 0.095373 +0.263529 0.164318 0.105412 +0.288627 0.179968 0.115451 +0.313725 0.195617 0.125490 +0.338824 0.211266 0.135529 +0.363922 0.226916 0.145569 +0.389020 0.242565 0.155608 +0.414118 0.258215 0.165647 +0.439216 0.273864 0.175686 +0.464314 0.289513 0.185725 +0.489412 0.305163 0.195765 +0.514510 0.320812 0.205804 +0.539608 0.336461 0.215843 +0.564706 0.352111 0.225882 +0.589804 0.367760 0.235922 +0.614902 0.383409 0.245961 +0.640000 0.399059 0.256000 +0.665098 0.414708 0.266039 +0.690196 0.430358 0.276078 +0.715294 0.446007 0.286118 +0.740392 0.461656 0.296157 +0.765490 0.477306 0.306196 +0.790588 0.492955 0.316235 +0.815686 0.508604 0.326275 +0.840784 0.524254 0.336314 +0.865882 0.539903 0.346353 +0.890980 0.555552 0.356392 +0.916078 0.571202 0.366431 +0.941176 0.586851 0.376471 +0.966275 0.602501 0.386510 +0.991373 0.618150 0.396549 +1.000000 0.633919 0.406588 +1.000000 0.649750 0.416627 +1.000000 0.665581 0.426667 +1.000000 0.681412 0.436706 +1.000000 0.697243 0.446745 +1.000000 0.713074 0.456784 +1.000000 0.728905 0.466824 +1.000000 0.744736 0.476863 +1.000000 0.760567 0.486902 +1.000000 0.776398 0.496941 diff --git a/ncl_colormaps_in_mpl/GMT_drywet.rgb b/ncl_colormaps_in_mpl/GMT_drywet.rgb new file mode 100644 index 0000000..677d060 --- /dev/null +++ b/ncl_colormaps_in_mpl/GMT_drywet.rgb @@ -0,0 +1,62 @@ +ncolors= 60 +# r g b +0.545882 0.400392 0.176078 +0.586667 0.440392 0.198824 +0.627451 0.480392 0.221569 +0.668235 0.520392 0.244314 +0.709020 0.560392 0.267059 +0.749804 0.600392 0.289804 +0.790588 0.640392 0.312549 +0.831373 0.680392 0.335294 +0.872157 0.720392 0.358039 +0.912941 0.760392 0.380784 +0.921961 0.788039 0.399020 +0.899216 0.803333 0.412745 +0.876471 0.818627 0.426471 +0.853725 0.833922 0.440196 +0.830980 0.849216 0.453922 +0.808235 0.864510 0.467647 +0.785490 0.879804 0.481373 +0.762745 0.895098 0.495098 +0.740000 0.910392 0.508824 +0.717255 0.925686 0.522549 +0.680392 0.933333 0.549020 +0.629412 0.933333 0.588235 +0.578431 0.933333 0.627451 +0.527451 0.933333 0.666667 +0.476471 0.933333 0.705882 +0.425490 0.933333 0.745098 +0.374510 0.933333 0.784314 +0.323529 0.933333 0.823529 +0.272549 0.933333 0.862745 +0.221569 0.933333 0.901961 +0.188627 0.910196 0.922157 +0.173725 0.863922 0.923333 +0.158824 0.817647 0.924510 +0.143922 0.771373 0.925686 +0.129020 0.725098 0.926863 +0.114118 0.678824 0.928039 +0.099216 0.632549 0.929216 +0.084314 0.586275 0.930392 +0.069412 0.540000 0.931569 +0.054510 0.493725 0.932745 +0.052157 0.447255 0.922549 +0.062353 0.400588 0.900980 +0.072549 0.353922 0.879412 +0.082745 0.307255 0.857843 +0.092941 0.260588 0.836275 +0.103137 0.213922 0.814706 +0.113333 0.167255 0.793137 +0.123529 0.120588 0.771569 +0.133725 0.073922 0.750000 +0.143922 0.027255 0.728431 +0.143137 0.013725 0.703922 +0.131373 0.033333 0.676471 +0.119608 0.052941 0.649020 +0.107843 0.072549 0.621569 +0.096078 0.092157 0.594118 +0.084314 0.111765 0.566667 +0.072549 0.131373 0.539216 +0.060784 0.150980 0.511765 +0.049020 0.170588 0.484314 +0.037255 0.190196 0.456863 diff --git a/ncl_colormaps_in_mpl/GMT_gebco.rgb b/ncl_colormaps_in_mpl/GMT_gebco.rgb new file mode 100644 index 0000000..b02950e --- /dev/null +++ b/ncl_colormaps_in_mpl/GMT_gebco.rgb @@ -0,0 +1,72 @@ +ncolors= 70 +# r g b +0.000000 0.941176 1.000000 +0.000000 0.941176 1.000000 +0.000000 0.941176 1.000000 +0.000000 0.941176 1.000000 +0.000000 0.941176 1.000000 +0.000000 0.941176 1.000000 +0.000000 0.941176 1.000000 +0.000000 0.941176 1.000000 +0.000000 0.941176 1.000000 +0.000000 0.941176 1.000000 +0.137255 1.000000 1.000000 +0.137255 1.000000 1.000000 +0.137255 1.000000 1.000000 +0.137255 1.000000 1.000000 +0.137255 1.000000 1.000000 +0.137255 1.000000 1.000000 +0.137255 1.000000 1.000000 +0.137255 1.000000 1.000000 +0.137255 1.000000 1.000000 +0.137255 1.000000 1.000000 +0.352941 1.000000 1.000000 +0.352941 1.000000 1.000000 +0.352941 1.000000 1.000000 +0.352941 1.000000 1.000000 +0.352941 1.000000 1.000000 +0.352941 1.000000 1.000000 +0.352941 1.000000 1.000000 +0.352941 1.000000 1.000000 +0.352941 1.000000 1.000000 +0.352941 1.000000 1.000000 +0.549020 1.000000 0.901961 +0.549020 1.000000 0.901961 +0.549020 1.000000 0.901961 +0.549020 1.000000 0.901961 +0.549020 1.000000 0.901961 +0.549020 1.000000 0.901961 +0.549020 1.000000 0.901961 +0.549020 1.000000 0.901961 +0.549020 1.000000 0.901961 +0.549020 1.000000 0.901961 +0.647059 1.000000 0.843137 +0.647059 1.000000 0.843137 +0.647059 1.000000 0.843137 +0.647059 1.000000 0.843137 +0.647059 1.000000 0.843137 +0.647059 1.000000 0.843137 +0.647059 1.000000 0.843137 +0.647059 1.000000 0.843137 +0.647059 1.000000 0.843137 +0.647059 1.000000 0.843137 +0.764706 1.000000 0.843137 +0.764706 1.000000 0.843137 +0.764706 1.000000 0.843137 +0.764706 1.000000 0.843137 +0.764706 1.000000 0.843137 +0.764706 1.000000 0.843137 +0.764706 1.000000 0.843137 +0.764706 1.000000 0.843137 +0.764706 1.000000 0.843137 +0.764706 1.000000 0.843137 +0.823529 1.000000 0.843137 +0.823529 1.000000 0.843137 +0.823529 1.000000 0.843137 +0.823529 1.000000 0.843137 +0.823529 1.000000 0.843137 +0.901961 1.000000 0.941176 +0.901961 1.000000 0.941176 +0.901961 1.000000 0.941176 +0.921569 1.000000 1.000000 +0.921569 1.000000 1.000000 diff --git a/ncl_colormaps_in_mpl/GMT_globe.rgb b/ncl_colormaps_in_mpl/GMT_globe.rgb new file mode 100644 index 0000000..fc5a9b0 --- /dev/null +++ b/ncl_colormaps_in_mpl/GMT_globe.rgb @@ -0,0 +1,258 @@ +ncolors= 256 +# r g b +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.600000 0.000000 1.000000 +0.533333 0.066667 1.000000 +0.533333 0.066667 1.000000 +0.533333 0.066667 1.000000 +0.533333 0.066667 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+0.213388 0.114806 0.392500 +0.212871 0.147656 0.437500 +0.212861 0.184556 0.482500 +0.225506 0.236076 0.527500 +0.493403 0.568182 0.266012 +0.578968 0.613636 0.315186 +0.659091 0.654688 0.368492 +0.704545 0.663738 0.425930 +0.750000 0.677083 0.487500 +0.795455 0.696351 0.553202 +0.840909 0.723170 0.623037 +0.886364 0.759168 0.697004 +0.931818 0.805971 0.775103 +0.977273 0.865209 0.857335 diff --git a/ncl_colormaps_in_mpl/GMT_no_green.rgb b/ncl_colormaps_in_mpl/GMT_no_green.rgb new file mode 100644 index 0000000..d5a2f85 --- /dev/null +++ b/ncl_colormaps_in_mpl/GMT_no_green.rgb @@ -0,0 +1,18 @@ +ncolors= 16 +# r g b +0.125490 0.376471 1.000000 +0.125490 0.623529 1.000000 +0.125490 0.749020 1.000000 +0.000000 0.811765 1.000000 +0.164706 1.000000 1.000000 +0.333333 1.000000 1.000000 +0.498039 1.000000 1.000000 +0.666667 1.000000 1.000000 +1.000000 1.000000 0.329412 +1.000000 0.941176 0.000000 +1.000000 0.749020 0.000000 +1.000000 0.658824 0.000000 +1.000000 0.541176 0.000000 +1.000000 0.439216 0.000000 +1.000000 0.301961 0.000000 +1.000000 0.000000 0.000000 diff --git a/ncl_colormaps_in_mpl/GMT_ocean.rgb b/ncl_colormaps_in_mpl/GMT_ocean.rgb new file mode 100644 index 0000000..39619ea --- /dev/null +++ b/ncl_colormaps_in_mpl/GMT_ocean.rgb @@ -0,0 +1,82 @@ +ncolors= 80 +# r g b +0.000000 0.000980 0.004902 +0.000000 0.002941 0.014706 +0.000000 0.004902 0.024510 +0.000000 0.006863 0.034314 +0.000000 0.008824 0.044118 +0.000000 0.010784 0.053922 +0.000000 0.012745 0.063725 +0.000000 0.014706 0.073529 +0.000000 0.016667 0.083333 +0.000000 0.018627 0.093137 +0.000000 0.020588 0.102941 +0.000000 0.022549 0.112745 +0.000000 0.024510 0.122549 +0.000000 0.026471 0.132353 +0.000000 0.028431 0.142157 +0.000000 0.030392 0.151961 +0.000000 0.032353 0.161765 +0.000000 0.034314 0.171569 +0.000000 0.036275 0.181373 +0.000000 0.038235 0.191176 +0.000000 0.052941 0.210784 +0.000000 0.080392 0.240196 +0.000000 0.107843 0.269608 +0.000000 0.135294 0.299020 +0.000000 0.162745 0.328431 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0.667255 +0.697451 0.963725 0.684118 +0.712745 0.965686 0.700980 +0.728039 0.967647 0.717843 +0.743333 0.969608 0.734706 +0.758627 0.971569 0.751569 +0.773922 0.973529 0.768431 +0.789216 0.975490 0.785294 +0.804510 0.977451 0.802157 +0.819804 0.979412 0.819020 +0.835098 0.981373 0.836078 +0.850392 0.983333 0.853333 +0.865686 0.985294 0.870588 +0.880980 0.987255 0.887843 +0.896275 0.989216 0.905098 +0.911569 0.991176 0.922353 +0.926863 0.993137 0.939608 +0.942157 0.995098 0.956863 +0.957451 0.997059 0.974118 +0.972745 0.999020 0.991373 diff --git a/ncl_colormaps_in_mpl/GMT_paired.rgb b/ncl_colormaps_in_mpl/GMT_paired.rgb new file mode 100644 index 0000000..800f6ce --- /dev/null +++ b/ncl_colormaps_in_mpl/GMT_paired.rgb @@ -0,0 +1,14 @@ +ncolors= 12 +# r g b +0.650980 0.807843 0.890196 +0.121569 0.470588 0.705882 +0.698039 0.874510 0.541176 +0.200000 0.627451 0.172549 +0.984314 0.603922 0.600000 +0.890196 0.101961 0.109804 +0.992157 0.749020 0.435294 +1.000000 0.498039 0.000000 +0.792157 0.698039 0.839216 +0.415686 0.239216 0.603922 +1.000000 1.000000 0.600000 +0.694118 0.349020 0.156863 diff --git a/ncl_colormaps_in_mpl/GMT_panoply.rgb b/ncl_colormaps_in_mpl/GMT_panoply.rgb new file mode 100644 index 0000000..ef85d77 --- /dev/null +++ b/ncl_colormaps_in_mpl/GMT_panoply.rgb @@ -0,0 +1,18 @@ +ncolors= 16 +# r g b +0.015686 0.054902 0.847059 +0.125490 0.313725 1.000000 +0.254902 0.588235 1.000000 +0.427451 0.756863 1.000000 +0.525490 0.850980 1.000000 +0.611765 0.933333 1.000000 +0.686275 0.960784 1.000000 +0.807843 1.000000 1.000000 +1.000000 0.996078 0.278431 +1.000000 0.921569 0.000000 +1.000000 0.768627 0.000000 +1.000000 0.564706 0.000000 +1.000000 0.282353 0.000000 +1.000000 0.000000 0.000000 +0.835294 0.000000 0.000000 +0.619608 0.000000 0.000000 diff --git a/ncl_colormaps_in_mpl/GMT_polar.rgb b/ncl_colormaps_in_mpl/GMT_polar.rgb new file mode 100644 index 0000000..7ee79c7 --- /dev/null +++ b/ncl_colormaps_in_mpl/GMT_polar.rgb @@ -0,0 +1,22 @@ +ncolors= 20 +# r g b +0.050000 0.050000 1.000000 +0.150000 0.150000 1.000000 +0.250000 0.250000 1.000000 +0.350000 0.350000 1.000000 +0.450000 0.450000 1.000000 +0.550000 0.550000 1.000000 +0.650000 0.650000 1.000000 +0.750000 0.750000 1.000000 +0.850000 0.850000 1.000000 +0.950000 0.950000 1.000000 +1.000000 0.950000 0.950000 +1.000000 0.850000 0.850000 +1.000000 0.750000 0.750000 +1.000000 0.650000 0.650000 +1.000000 0.550000 0.550000 +1.000000 0.450000 0.450000 +1.000000 0.350000 0.350000 +1.000000 0.250000 0.250000 +1.000000 0.150000 0.150000 +1.000000 0.050000 0.050000 diff --git a/ncl_colormaps_in_mpl/GMT_red2green.rgb b/ncl_colormaps_in_mpl/GMT_red2green.rgb new file mode 100644 index 0000000..bcd40bd --- /dev/null +++ b/ncl_colormaps_in_mpl/GMT_red2green.rgb @@ -0,0 +1,22 @@ +ncolors= 20 +# r g b +1.000000 0.050000 0.050000 +1.000000 0.150000 0.150000 +1.000000 0.250000 0.250000 +1.000000 0.350000 0.350000 +1.000000 0.450000 0.450000 +1.000000 0.550000 0.550000 +1.000000 0.650000 0.650000 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221 # + 219 219 219 # + 217 217 217 # + 215 215 215 # + 214 214 214 # + 212 212 212 # + 210 210 210 # + 208 208 208 # + 206 206 206 # + 204 204 204 # + 202 202 202 # + 200 200 200 # + 199 199 199 # + 197 197 197 # + 195 195 195 # + 193 193 193 # + 191 191 191 # + 189 189 189 # + 187 187 187 # + 185 185 185 # + 183 183 183 # + 182 182 182 # + 180 180 180 # + 178 178 178 # + 176 176 176 # + 174 174 174 # + 172 172 172 # + 170 170 170 # + 168 168 168 # + 167 167 167 # + 165 165 165 # + 163 163 163 # + 161 161 161 # + 159 159 159 # + 157 157 157 # + 155 155 155 # + 153 153 153 # + 151 151 151 # + 150 150 150 # + 148 148 148 # + 146 146 146 # + 144 144 144 # + 142 142 142 # + 140 140 140 # + 138 138 138 # + 136 136 136 # + 135 135 135 # + 133 133 133 # + 131 131 131 # + 129 129 129 # + 127 127 127 # + 125 125 125 # + 123 123 123 # + 121 121 121 # + 119 119 119 # + 118 118 118 # + 116 116 116 # + 114 114 114 # + 112 112 112 # + 110 110 110 # + 108 108 108 # + 106 106 106 # + 104 104 104 # + 103 103 103 # + 101 101 101 # + 99 99 99 # + 95 95 95 # gray diff --git a/ncl_colormaps_in_mpl/GreenMagenta16.rgb b/ncl_colormaps_in_mpl/GreenMagenta16.rgb new file mode 100644 index 0000000..ba56d14 --- /dev/null +++ b/ncl_colormaps_in_mpl/GreenMagenta16.rgb @@ -0,0 +1,23 @@ +# Green to Magenta, 16 steps +# +# Taken from Department of Geography, University of Oregon + +ncolors = 16 + +# r g b + 0 80 0 + 0 134 0 + 0 187 0 + 0 241 0 + 80 255 80 + 134 255 134 + 187 255 187 + 255 255 255 + 255 241 255 + 255 187 255 + 255 134 255 + 255 80 255 + 241 0 241 + 187 0 187 + 134 0 134 + 80 0 80 diff --git a/ncl_colormaps_in_mpl/GreenYellow.rgb b/ncl_colormaps_in_mpl/GreenYellow.rgb new file mode 100644 index 0000000..386b860 --- /dev/null +++ b/ncl_colormaps_in_mpl/GreenYellow.rgb @@ -0,0 +1,253 @@ +ncolors = 252 +25 255 82 +27 255 84 +28 255 85 +30 255 86 +31 255 87 +33 255 88 +34 255 89 +36 255 90 +37 255 92 +39 255 93 +40 255 94 +42 255 95 +43 255 96 +45 255 97 +46 255 98 +48 255 100 +49 255 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a/ncl_colormaps_in_mpl/MPL_Accent.rgb b/ncl_colormaps_in_mpl/MPL_Accent.rgb new file mode 100644 index 0000000..45d777f --- /dev/null +++ b/ncl_colormaps_in_mpl/MPL_Accent.rgb @@ -0,0 +1,130 @@ +ncolors= 128 +# r g b +0.504821 0.785329 0.507190 +0.518385 0.779516 0.525490 +0.531949 0.773702 0.543791 +0.545513 0.767889 0.562092 +0.559077 0.762076 0.580392 +0.572641 0.756263 0.598693 +0.586205 0.750450 0.616993 +0.599769 0.744637 0.635294 +0.613333 0.738824 0.653595 +0.620115 0.735917 0.662745 +0.640461 0.727197 0.690196 +0.647243 0.724291 0.699346 +0.667589 0.715571 0.726797 +0.674371 0.712664 0.735948 +0.694717 0.703945 0.763399 +0.701499 0.701038 0.772549 +0.721845 0.692318 0.800000 +0.735409 0.686505 0.818301 +0.742191 0.683599 0.827451 +0.762537 0.687336 0.809781 +0.776102 0.691211 0.792987 +0.789666 0.695087 0.776194 +0.796448 0.697024 0.767797 +0.816794 0.702837 0.742607 +0.830358 0.706713 0.725813 +0.843922 0.710588 0.709020 +0.850704 0.712526 0.700623 +0.871050 0.718339 0.675433 +0.884614 0.722215 0.658639 +0.898178 0.726090 0.641845 +0.904960 0.728028 0.633449 +0.925306 0.733841 0.608258 +0.938870 0.737716 0.591465 +0.952434 0.741592 0.574671 +0.965998 0.745467 0.557878 +0.979562 0.749343 0.541084 +0.992188 0.753910 0.525782 +0.992403 0.760692 0.527828 +0.993049 0.781038 0.533964 +0.993479 0.794602 0.538055 +0.993910 0.808166 0.542145 +0.994341 0.821730 0.546236 +0.994771 0.835294 0.550327 +0.995202 0.848858 0.554418 +0.995632 0.862422 0.558508 +0.995848 0.869204 0.560554 +0.996494 0.889550 0.566690 +0.996924 0.903114 0.570780 +0.997355 0.916678 0.574871 +0.997785 0.930242 0.578962 +0.998216 0.943806 0.583053 +0.998647 0.957370 0.587143 +0.999077 0.970934 0.591234 +0.999293 0.977716 0.593280 +0.999938 0.998062 0.599416 +0.963276 0.972872 0.604245 +0.920431 0.941223 0.609196 +0.877586 0.909573 0.614148 +0.834740 0.877924 0.619100 +0.791895 0.846275 0.624052 +0.749050 0.814625 0.629004 +0.727628 0.798800 0.631480 +0.663360 0.751326 0.638908 +0.620515 0.719677 0.643860 +0.577670 0.688028 0.648812 +0.534825 0.656378 0.653764 +0.491980 0.624729 0.658716 +0.449135 0.593080 0.663668 +0.406290 0.561430 0.668620 +0.363445 0.529781 0.673572 +0.320600 0.498131 0.678524 +0.277755 0.466482 0.683476 +0.234910 0.434833 0.688428 +0.245075 0.408858 0.683414 +0.284691 0.386036 0.672864 +0.304498 0.374625 0.667589 +0.363922 0.340392 0.651765 +0.403537 0.317570 0.641215 +0.443153 0.294748 0.630665 +0.482768 0.271926 0.620115 +0.522384 0.249104 0.609566 +0.561999 0.226282 0.599016 +0.601615 0.203460 0.588466 +0.641230 0.180638 0.577916 +0.680846 0.157816 0.567366 +0.720461 0.134994 0.556817 +0.760077 0.112172 0.546267 +0.799692 0.089350 0.535717 +0.839308 0.066528 0.525167 +0.878923 0.043706 0.514617 +0.918539 0.020884 0.504068 +0.938347 0.009473 0.498793 +0.926105 0.035217 0.466052 +0.915556 0.054379 0.443660 +0.905006 0.073541 0.421269 +0.894456 0.092703 0.398877 +0.883906 0.111865 0.376486 +0.873356 0.131027 0.354095 +0.862807 0.150188 0.331703 +0.852257 0.169350 0.309312 +0.841707 0.188512 0.286920 +0.831157 0.207674 0.264529 +0.820607 0.226836 0.242138 +0.810058 0.245998 0.219746 +0.799508 0.265160 0.197355 +0.788958 0.284321 0.174963 +0.778408 0.303483 0.152572 +0.773133 0.313064 0.141376 +0.757309 0.341807 0.107789 +0.744914 0.357370 0.093841 +0.725752 0.359739 0.110850 +0.706590 0.362107 0.127859 +0.687428 0.364475 0.144867 +0.668266 0.366844 0.161876 +0.649104 0.369212 0.178885 +0.629942 0.371580 0.195894 +0.610780 0.373948 0.212903 +0.591619 0.376317 0.229912 +0.572457 0.378685 0.246920 +0.553295 0.381053 0.263929 +0.534133 0.383422 0.280938 +0.514971 0.385790 0.297947 +0.495809 0.388158 0.314956 +0.486228 0.389343 0.323460 +0.457486 0.392895 0.348973 +0.438324 0.395263 0.365982 +0.419162 0.397632 0.382991 +0.400000 0.400000 0.400000 diff --git a/ncl_colormaps_in_mpl/MPL_Blues.rgb b/ncl_colormaps_in_mpl/MPL_Blues.rgb new file mode 100644 index 0000000..eb6c4af --- /dev/null +++ b/ncl_colormaps_in_mpl/MPL_Blues.rgb @@ -0,0 +1,130 @@ +ncolors= 128 +# r g b +0.965552 0.982345 0.999016 +0.959400 0.978408 0.997047 +0.953249 0.974471 0.995079 +0.947097 0.970534 0.993110 +0.940946 0.966597 0.991142 +0.934794 0.962661 0.989173 +0.928643 0.958724 0.987205 +0.922491 0.954787 0.985236 +0.916340 0.950850 0.983268 +0.913264 0.948881 0.982284 +0.904037 0.942976 0.979331 +0.900961 0.941007 0.978347 +0.891734 0.935102 0.975394 +0.888658 0.933133 0.974410 +0.879431 0.927228 0.971457 +0.876355 0.925260 0.970473 +0.867266 0.919354 0.967520 +0.861361 0.915417 0.965552 +0.858408 0.913449 0.964567 +0.849550 0.907543 0.961615 +0.843645 0.903606 0.959646 +0.837739 0.899669 0.957678 +0.834787 0.897701 0.956694 +0.825928 0.891795 0.953741 +0.820023 0.887859 0.951772 +0.814118 0.883922 0.949804 +0.811165 0.881953 0.948820 +0.802307 0.876048 0.945867 +0.796401 0.872111 0.943899 +0.790496 0.868174 0.941930 +0.787543 0.866205 0.940946 +0.778685 0.860300 0.937993 +0.770319 0.856209 0.935102 +0.760477 0.852026 0.931657 +0.750634 0.847843 0.928212 +0.740792 0.843660 0.924767 +0.730950 0.839477 0.921323 +0.726028 0.837386 0.919600 +0.711265 0.831111 0.914433 +0.701423 0.826928 0.910988 +0.691580 0.822745 0.907543 +0.681738 0.818562 0.904098 +0.671895 0.814379 0.900654 +0.662053 0.810196 0.897209 +0.652211 0.806013 0.893764 +0.647290 0.803922 0.892042 +0.632526 0.797647 0.886874 +0.622684 0.793464 0.883429 +0.610980 0.787420 0.880492 +0.598431 0.780531 0.877785 +0.585882 0.773641 0.875079 +0.573333 0.766751 0.872372 +0.560784 0.759862 0.869666 +0.554510 0.756417 0.868312 +0.535686 0.746082 0.864252 +0.523137 0.739193 0.861546 +0.510588 0.732303 0.858839 +0.498039 0.725413 0.856132 +0.485490 0.718524 0.853426 +0.472941 0.711634 0.850719 +0.460392 0.704744 0.848012 +0.454118 0.701300 0.846659 +0.435294 0.690965 0.842599 +0.422745 0.684075 0.839892 +0.412042 0.677186 0.836263 +0.401953 0.670296 0.832326 +0.391865 0.663406 0.828389 +0.381776 0.656517 0.824452 +0.371688 0.649627 0.820515 +0.361599 0.642737 0.816578 +0.351511 0.635848 0.812641 +0.341423 0.628958 0.808704 +0.331334 0.622068 0.804767 +0.321246 0.615179 0.800830 +0.311157 0.608289 0.796894 +0.306113 0.604844 0.794925 +0.290980 0.594510 0.789020 +0.280892 0.587620 0.785083 +0.270804 0.580731 0.781146 +0.260715 0.573841 0.777209 +0.252226 0.565952 0.773072 +0.244106 0.557832 0.768889 +0.235986 0.549712 0.764706 +0.227866 0.541592 0.760523 +0.219746 0.533472 0.756340 +0.211626 0.525352 0.752157 +0.203506 0.517232 0.747974 +0.195386 0.509112 0.743791 +0.187266 0.500992 0.739608 +0.179146 0.492872 0.735425 +0.171027 0.484752 0.731242 +0.166967 0.480692 0.729150 +0.154787 0.468512 0.722876 +0.146667 0.460392 0.718693 +0.138547 0.452272 0.714510 +0.130427 0.444152 0.710327 +0.124029 0.436248 0.704421 +0.117878 0.428374 0.698270 +0.111726 0.420500 0.692118 +0.105575 0.412626 0.685967 +0.099423 0.404752 0.679815 +0.093272 0.396878 0.673664 +0.087120 0.389004 0.667513 +0.080969 0.381130 0.661361 +0.074817 0.373256 0.655210 +0.068666 0.365383 0.649058 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/dev/null +++ b/ncl_colormaps_in_mpl/MPL_GnBu.rgb @@ -0,0 +1,130 @@ +ncolors= 128 +# r g b +0.965798 0.987128 0.938593 +0.960138 0.984913 0.933426 +0.954479 0.982699 0.928258 +0.948820 0.980484 0.923091 +0.943160 0.978270 0.917924 +0.937501 0.976055 0.912757 +0.931842 0.973841 0.907589 +0.926182 0.971626 0.902422 +0.920523 0.969412 0.897255 +0.917693 0.968305 0.894671 +0.909204 0.964983 0.886920 +0.906374 0.963875 0.884337 +0.897885 0.960554 0.876586 +0.895056 0.959446 0.874002 +0.886567 0.956125 0.866251 +0.883737 0.955017 0.863668 +0.875663 0.951834 0.855779 +0.870742 0.949865 0.850365 +0.868281 0.948881 0.847659 +0.860900 0.945928 0.839539 +0.855978 0.943960 0.834125 +0.851057 0.941992 0.828712 +0.848597 0.941007 0.826005 +0.841215 0.938055 0.817885 +0.836294 0.936086 0.812472 +0.831373 0.934118 0.807059 +0.828912 0.933133 0.804352 +0.821530 0.930181 0.796232 +0.816609 0.928212 0.790819 +0.811688 0.926244 0.785406 +0.809227 0.925260 0.782699 +0.801845 0.922307 0.774579 +0.794464 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0.000000 0.000000 +0.536424 0.000000 0.000000 +0.523629 0.000000 0.000000 +0.510834 0.000000 0.000000 +0.498039 0.000000 0.000000 diff --git a/ncl_colormaps_in_mpl/MPL_Oranges.rgb b/ncl_colormaps_in_mpl/MPL_Oranges.rgb new file mode 100644 index 0000000..c513764 --- /dev/null +++ b/ncl_colormaps_in_mpl/MPL_Oranges.rgb @@ -0,0 +1,130 @@ +ncolors= 128 +# r g b +0.999877 0.958939 0.918001 +0.999631 0.955248 0.910865 +0.999385 0.951557 0.903729 +0.999139 0.947866 0.896594 +0.998893 0.944175 0.889458 +0.998647 0.940484 0.882322 +0.998401 0.936794 0.875186 +0.998155 0.933103 0.868051 +0.997908 0.929412 0.860915 +0.997785 0.927566 0.857347 +0.997416 0.922030 0.846644 +0.997293 0.920185 0.843076 +0.996924 0.914648 0.832372 +0.996801 0.912803 0.828804 +0.996432 0.907266 0.818101 +0.996309 0.905421 0.814533 +0.995940 0.898916 0.801753 +0.995694 0.893503 0.790927 +0.995571 0.890796 0.785513 +0.995202 0.882676 0.769273 +0.994956 0.877263 0.758447 +0.994710 0.871849 0.747620 +0.994587 0.869143 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b/ncl_colormaps_in_mpl/MPL_PRGn.rgb new file mode 100644 index 0000000..95c73ef --- /dev/null +++ b/ncl_colormaps_in_mpl/MPL_PRGn.rgb @@ -0,0 +1,130 @@ +ncolors= 128 +# r g b +0.259285 0.006459 0.302730 +0.275894 0.019377 0.319954 +0.292503 0.032295 0.337178 +0.309112 0.045213 0.354402 +0.325721 0.058131 0.371626 +0.342330 0.071050 0.388850 +0.358939 0.083968 0.406075 +0.375548 0.096886 0.423299 +0.392157 0.109804 0.440523 +0.400461 0.116263 0.449135 +0.425375 0.135640 0.474971 +0.433679 0.142099 0.483583 +0.458593 0.161476 0.509419 +0.465436 0.170088 0.516801 +0.481584 0.202384 0.535256 +0.486967 0.213149 0.541407 +0.503114 0.245444 0.559862 +0.513879 0.266974 0.572165 +0.519262 0.277739 0.578316 +0.535409 0.310035 0.596770 +0.546175 0.331565 0.609073 +0.556940 0.353095 0.621376 +0.562322 0.363860 0.627528 +0.578470 0.396155 0.645982 +0.589235 0.417686 0.658285 +0.600000 0.439216 0.670588 +0.606305 0.447366 0.676125 +0.625221 0.471819 0.692734 +0.637832 0.488120 0.703806 +0.650442 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0.406305 0.100500 +0.152941 0.392157 0.098039 diff --git a/ncl_colormaps_in_mpl/MPL_PuBu.rgb b/ncl_colormaps_in_mpl/MPL_PuBu.rgb new file mode 100644 index 0000000..ff154f5 --- /dev/null +++ b/ncl_colormaps_in_mpl/MPL_PuBu.rgb @@ -0,0 +1,130 @@ +ncolors= 128 +# r g b +0.997662 0.966659 0.983206 +0.992987 0.962722 0.980992 +0.988312 0.958785 0.978777 +0.983637 0.954848 0.976563 +0.978962 0.950911 0.974348 +0.974287 0.946974 0.972134 +0.969612 0.943037 0.969919 +0.964937 0.939100 0.967705 +0.960261 0.935163 0.965490 +0.957924 0.933195 0.964383 +0.950911 0.927290 0.961061 +0.948574 0.925321 0.959954 +0.941561 0.919416 0.956632 +0.939223 0.917447 0.955525 +0.932211 0.911542 0.952203 +0.929873 0.909573 0.951096 +0.921615 0.902837 0.947359 +0.914725 0.897424 0.944406 +0.911280 0.894717 0.942930 +0.900946 0.886597 0.938501 +0.894056 0.881184 0.935548 +0.887166 0.875771 0.932595 +0.883722 0.873064 0.931119 +0.873387 0.864944 0.926690 +0.866498 0.859531 0.923737 +0.859608 0.854118 0.920784 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/dev/null +++ b/ncl_colormaps_in_mpl/MPL_PuBuGn.rgb @@ -0,0 +1,130 @@ +ncolors= 128 +# r g b +0.997662 0.966044 0.982960 +0.992987 0.960877 0.980254 +0.988312 0.955709 0.977547 +0.983637 0.950542 0.974840 +0.978962 0.945375 0.972134 +0.974287 0.940208 0.969427 +0.969612 0.935040 0.966720 +0.964937 0.929873 0.964014 +0.960261 0.924706 0.961307 +0.957924 0.922122 0.959954 +0.950911 0.914371 0.955894 +0.948574 0.911788 0.954541 +0.941561 0.904037 0.950481 +0.939223 0.901453 0.949127 +0.932211 0.893702 0.945067 +0.929873 0.891119 0.943714 +0.921615 0.883922 0.939792 +0.914725 0.879739 0.937332 +0.911280 0.877647 0.936102 +0.900946 0.871373 0.932411 +0.894056 0.867190 0.929950 +0.887166 0.863007 0.927489 +0.883722 0.860915 0.926259 +0.873387 0.854641 0.922568 +0.866498 0.850458 0.920108 +0.859608 0.846275 0.917647 +0.856163 0.844183 0.916417 +0.845829 0.837909 0.912726 +0.838939 0.833726 0.910265 +0.832049 0.829542 0.907805 +0.828604 0.827451 0.906574 +0.818270 0.821176 0.902884 +0.809227 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b/ncl_colormaps_in_mpl/MPL_RdGy.rgb new file mode 100644 index 0000000..8a2ba86 --- /dev/null +++ b/ncl_colormaps_in_mpl/MPL_RdGy.rgb @@ -0,0 +1,130 @@ +ncolors= 128 +# r g b +0.415456 0.003691 0.123414 +0.438524 0.011073 0.127105 +0.461592 0.018454 0.130796 +0.484660 0.025836 0.134487 +0.507728 0.033218 0.138178 +0.530796 0.040600 0.141869 +0.553864 0.047982 0.145559 +0.576932 0.055363 0.149250 +0.600000 0.062745 0.152941 +0.611534 0.066436 0.154787 +0.646136 0.077509 0.160323 +0.657670 0.081200 0.162168 +0.692272 0.092272 0.167705 +0.700807 0.099654 0.171242 +0.717416 0.132872 0.186928 +0.722953 0.143945 0.192157 +0.739562 0.177163 0.207843 +0.750634 0.199308 0.218301 +0.756171 0.210381 0.223529 +0.772780 0.243599 0.239216 +0.783852 0.265744 0.249673 +0.794925 0.287889 0.260131 +0.800461 0.298962 0.265359 +0.817070 0.332180 0.281046 +0.828143 0.354325 0.291503 +0.839216 0.376471 0.301961 +0.843829 0.387082 0.310112 +0.857670 0.418916 0.334564 +0.866897 0.440138 0.350865 +0.876125 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0.003922 0.474525 +0.517616 0.003922 0.471942 +0.504821 0.003922 0.470219 +0.492026 0.003922 0.468497 +0.479231 0.003922 0.466774 +0.467128 0.003691 0.463668 +0.455071 0.003445 0.460469 +0.443014 0.003199 0.457270 +0.430957 0.002953 0.454072 +0.418900 0.002707 0.450873 +0.406844 0.002461 0.447674 +0.394787 0.002215 0.444475 +0.382730 0.001968 0.441276 +0.370673 0.001722 0.438078 +0.358616 0.001476 0.434879 +0.346559 0.001230 0.431680 +0.340531 0.001107 0.430081 +0.322445 0.000738 0.425283 +0.310388 0.000492 0.422084 +0.298331 0.000246 0.418885 +0.286275 0.000000 0.415686 diff --git a/ncl_colormaps_in_mpl/MPL_RdYlBu.rgb b/ncl_colormaps_in_mpl/MPL_RdYlBu.rgb new file mode 100644 index 0000000..1033a4c --- /dev/null +++ b/ncl_colormaps_in_mpl/MPL_RdYlBu.rgb @@ -0,0 +1,130 @@ +ncolors= 128 +# r g b +0.654748 0.007382 0.149173 +0.670127 0.022145 0.149481 +0.685506 0.036909 0.149789 +0.700884 0.051672 0.150096 +0.716263 0.066436 0.150404 +0.731642 0.081200 0.150711 +0.747020 0.095963 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b/ncl_colormaps_in_mpl/MPL_Set2.rgb @@ -0,0 +1,130 @@ +ncolors= 128 +# r g b +0.416148 0.755079 0.639846 +0.448443 0.743668 0.625421 +0.480738 0.732257 0.610996 +0.513033 0.720846 0.596571 +0.545329 0.709435 0.582145 +0.577624 0.698024 0.567720 +0.609919 0.686613 0.553295 +0.642215 0.675202 0.538870 +0.674510 0.663791 0.524444 +0.690657 0.658085 0.517232 +0.739100 0.640969 0.495594 +0.755248 0.635263 0.488381 +0.803691 0.618147 0.466744 +0.819839 0.612441 0.459531 +0.868281 0.595325 0.437893 +0.884429 0.589619 0.430681 +0.932872 0.572503 0.409043 +0.965167 0.561092 0.394617 +0.981315 0.555386 0.387405 +0.957509 0.558201 0.413379 +0.933610 0.562291 0.435986 +0.909712 0.566382 0.458593 +0.897762 0.568428 0.469896 +0.861915 0.574564 0.503806 +0.838016 0.578654 0.526413 +0.814118 0.582745 0.549020 +0.802168 0.584790 0.560323 +0.766321 0.590927 0.594233 +0.742422 0.595017 0.616840 +0.718524 0.599108 0.639446 +0.706574 0.601153 0.650750 +0.670727 0.607290 0.684660 +0.646828 0.611380 0.707266 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b/ncl_colormaps_in_mpl/MPL_YlGnBu.rgb new file mode 100644 index 0000000..b0c1dba --- /dev/null +++ b/ncl_colormaps_in_mpl/MPL_YlGnBu.rgb @@ -0,0 +1,130 @@ +ncolors= 128 +# r g b +0.997785 0.999139 0.846059 +0.993356 0.997416 0.836217 +0.988927 0.995694 0.826374 +0.984498 0.993972 0.816532 +0.980069 0.992249 0.806690 +0.975640 0.990527 0.796847 +0.971211 0.988804 0.787005 +0.966782 0.987082 0.777163 +0.962353 0.985359 0.767320 +0.960138 0.984498 0.762399 +0.953495 0.981915 0.747636 +0.951280 0.981053 0.742714 +0.944637 0.978470 0.727951 +0.942422 0.977609 0.723030 +0.935779 0.975025 0.708266 +0.933564 0.974164 0.703345 +0.924152 0.970473 0.694533 +0.914802 0.966782 0.695271 +0.910127 0.964937 0.695640 +0.896102 0.959400 0.696747 +0.886751 0.955709 0.697486 +0.877401 0.952018 0.698224 +0.872726 0.950173 0.698593 +0.858701 0.944637 0.699700 +0.849350 0.940946 0.700438 +0.840000 0.937255 0.701176 +0.835325 0.935409 0.701546 +0.821300 0.929873 0.702653 +0.811949 0.926182 0.703391 +0.802599 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a/ncl_colormaps_in_mpl/MPL_cubehelix.rgb b/ncl_colormaps_in_mpl/MPL_cubehelix.rgb new file mode 100644 index 0000000..9cb1b75 --- /dev/null +++ b/ncl_colormaps_in_mpl/MPL_cubehelix.rgb @@ -0,0 +1,130 @@ +ncolors= 128 +# r g b +0.006716 0.002119 0.005970 +0.019599 0.006514 0.018563 +0.031691 0.011164 0.031946 +0.042932 0.016118 0.046016 +0.053271 0.021423 0.060666 +0.062670 0.027119 0.075781 +0.071101 0.033243 0.091246 +0.078546 0.039824 0.106939 +0.085002 0.046889 0.122740 +0.087860 0.050609 0.130643 +0.094978 0.062542 0.154180 +0.096875 0.066781 0.161918 +0.101205 0.080290 0.184609 +0.102212 0.085055 0.191951 +0.104025 0.100126 0.213124 +0.104252 0.105403 0.219855 +0.103929 0.121956 0.238903 +0.102976 0.133564 0.250541 +0.102310 0.139529 0.256012 +0.099697 0.158016 0.270935 +0.097563 0.170785 0.279569 +0.095232 0.183860 0.287097 +0.094026 0.190498 0.290434 +0.090402 0.210739 0.298703 +0.088115 0.224441 0.302747 +0.086056 0.238247 0.305612 +0.085146 0.245171 0.306606 +0.083043 0.265946 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+1,130 @@ +ncolors= 128 +# r g b +1.000000 0.378411 0.209789 +1.000000 0.918487 0.777382 +0.802941 0.932472 1.000000 +0.235542 0.412356 1.000000 +0.000000 0.000000 0.815567 +0.000000 0.000000 0.248556 +0.171914 0.000000 0.000000 +0.738344 0.000000 0.000000 +1.000000 0.309017 0.159507 +1.000000 0.645928 0.437702 +0.852783 0.956604 1.000000 +0.576099 0.775204 1.000000 +0.000000 0.000000 0.864953 +0.000000 0.000000 0.589873 +0.123001 0.000000 0.000000 +0.396383 0.000000 0.000000 +1.000000 0.237935 0.111085 +1.000000 0.850217 0.671713 +1.000000 0.986201 0.935214 +0.341807 0.542053 1.000000 +0.000000 0.000000 0.912346 +0.000000 0.000000 0.355382 +0.000000 0.000000 0.087654 +0.630994 0.000000 0.000000 +1.000000 0.165554 0.064786 +1.000000 0.809017 0.617326 +1.000000 0.971281 0.888915 +0.396383 0.602635 1.000000 +0.000000 0.000000 0.957487 +0.000000 0.000000 0.410127 +0.000000 0.000000 0.135047 +0.576099 0.000000 0.000000 +1.000000 0.092268 0.020865 +1.000000 0.763398 0.562298 +0.989716 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a/ncl_colormaps_in_mpl/SVG_Lindaa07.rgb b/ncl_colormaps_in_mpl/SVG_Lindaa07.rgb new file mode 100644 index 0000000..096d9a7 --- /dev/null +++ b/ncl_colormaps_in_mpl/SVG_Lindaa07.rgb @@ -0,0 +1,222 @@ +ncolors = 220 +# r g b + 20 32 112 + 28 40 112 + 36 48 116 + 44 52 116 + 52 60 120 + 56 68 120 + 64 76 124 + 80 88 128 + 88 96 128 + 92 100 132 +100 108 132 +108 116 136 +116 124 136 +132 136 140 +136 144 140 +144 148 144 +152 156 144 +160 164 148 +168 172 148 +180 184 152 +188 192 156 +196 196 156 +204 204 160 +208 212 160 +216 220 164 +232 232 168 +240 240 168 +248 248 172 +244 244 168 +236 240 164 +228 232 160 +212 224 152 +204 216 144 +196 212 140 +188 204 136 +180 200 132 +172 196 128 +160 184 116 +152 180 112 +144 172 108 +136 168 104 +128 160 96 +120 156 92 +104 144 84 + 96 140 80 + 88 136 76 + 84 128 68 + 76 124 64 + 68 116 60 + 52 108 52 + 44 100 44 + 36 96 40 + 28 92 36 + 20 84 32 + 12 80 28 + 8 76 24 + 12 80 28 + 16 88 32 + 24 92 36 + 28 96 40 + 32 104 44 + 44 112 56 + 48 120 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a/ncl_colormaps_in_mpl/SVG_bhw3_22.rgb b/ncl_colormaps_in_mpl/SVG_bhw3_22.rgb new file mode 100644 index 0000000..7f0b354 --- /dev/null +++ b/ncl_colormaps_in_mpl/SVG_bhw3_22.rgb @@ -0,0 +1,222 @@ +ncolors = 220 +# r g b + 36 20 46 + 37 22 50 + 39 25 54 + 40 28 58 + 42 31 62 + 44 34 66 + 45 37 70 + 47 40 74 + 48 43 78 + 50 45 82 + 52 48 86 + 53 51 90 + 55 54 94 + 57 57 98 + 58 60 102 + 60 63 106 + 61 66 110 + 63 69 114 + 65 71 118 + 66 74 122 + 68 77 126 + 69 80 130 + 71 83 134 + 73 86 138 + 74 89 143 + 76 92 147 + 78 94 151 + 79 97 155 + 81 100 159 + 83 102 161 + 85 103 162 + 87 104 163 + 89 105 164 + 91 106 165 + 93 107 166 + 95 108 166 + 97 109 167 + 99 110 168 +101 111 169 +103 112 170 +105 113 171 +107 114 172 +109 115 173 +111 116 174 +113 116 175 +115 117 176 +117 118 177 +119 119 177 +121 120 178 +121 119 177 +120 118 175 +118 116 172 +117 114 170 +116 113 168 +115 111 166 +114 109 164 +113 108 162 +112 106 160 +111 104 157 +110 103 155 +109 101 153 +108 100 151 +107 98 149 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b/ncl_colormaps_in_mpl/SVG_es_landscape_79.rgb new file mode 100644 index 0000000..08434d2 --- /dev/null +++ b/ncl_colormaps_in_mpl/SVG_es_landscape_79.rgb @@ -0,0 +1,222 @@ +ncolors = 220 +# r g b + 34 11 5 + 36 11 5 + 38 12 5 + 40 12 5 + 42 13 5 + 44 14 5 + 46 14 5 + 48 15 5 + 50 15 5 + 52 16 5 + 54 17 5 + 56 17 5 + 58 18 5 + 60 18 5 + 62 19 5 + 64 20 5 + 67 20 5 + 69 21 5 + 71 22 5 + 73 22 5 + 75 23 5 + 77 23 5 + 79 24 5 + 81 25 6 + 83 25 6 + 85 26 6 + 88 27 6 + 90 27 6 + 92 28 6 + 94 29 6 + 97 29 6 + 99 30 6 +101 31 6 +103 31 6 +106 32 6 +108 33 6 +110 33 6 +112 34 6 +115 35 6 +117 35 6 +119 36 6 +121 37 6 +123 37 6 +126 38 6 +128 39 7 +130 40 8 +132 42 9 +133 43 10 +135 45 11 +137 46 12 +139 48 13 +141 49 14 +143 51 14 +144 52 15 +146 54 16 +148 55 17 +150 57 18 +152 58 19 +154 60 20 +155 61 21 +157 63 22 +159 64 23 +161 66 24 +163 67 25 +165 69 26 +167 70 27 +168 72 28 +170 73 29 +172 75 30 +174 76 31 +176 78 32 +178 79 33 +179 81 34 +181 82 35 +183 84 36 +185 85 37 +187 87 38 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b/ncl_colormaps_in_mpl/SVG_feb_sunrise.rgb @@ -0,0 +1,222 @@ +ncolors = 220 +# r g b +131 60 64 +187 95 80 +208 107 79 +222 115 77 +235 123 75 +245 131 75 +249 140 76 +251 143 75 +252 152 75 +253 177 79 +253 199 84 +252 190 77 +251 173 77 +252 166 85 +252 159 86 +253 160 92 +253 162 95 +253 164 97 +253 166 98 +253 170 100 +253 174 100 +253 183 98 +253 195 94 +253 203 89 +253 198 85 +250 174 78 +248 148 75 +246 140 80 +244 142 84 +244 144 84 +246 143 82 +251 143 79 +253 156 80 +253 172 81 +253 181 80 +253 183 80 +252 171 78 +249 154 79 +246 142 80 +243 135 84 +240 131 87 +232 123 87 +227 119 90 +228 119 92 +234 123 92 +242 129 91 +249 137 90 +252 145 88 +253 150 86 +254 153 84 +254 155 84 +254 155 85 +254 152 86 +253 146 86 +253 141 90 +248 135 95 +237 132 103 +228 135 115 +219 139 124 +207 135 123 +196 126 118 +189 117 115 +185 116 115 +184 117 118 +185 121 124 +186 123 126 +184 123 125 +183 120 122 +178 114 118 +171 108 115 +168 107 117 +167 109 120 +167 114 127 +170 122 136 +172 130 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mode 100644 index 0000000..4fcad32 --- /dev/null +++ b/ncl_colormaps_in_mpl/SVG_foggy_sunrise.rgb @@ -0,0 +1,222 @@ +ncolors = 220 +# r g b + 90 69 88 + 94 72 92 + 97 74 93 +100 75 94 +102 77 95 +103 78 95 +104 79 95 +105 80 97 +106 81 98 +108 81 99 +110 82 102 +111 82 103 +112 83 103 +114 85 104 +115 86 104 +115 86 105 +116 87 106 +117 88 107 +119 89 107 +121 90 109 +122 91 110 +123 92 111 +125 93 112 +127 94 113 +129 96 114 +134 99 116 +139 101 118 +144 104 119 +149 107 120 +154 111 120 +159 114 121 +164 119 124 +167 122 126 +170 125 127 +173 128 129 +176 132 130 +177 134 131 +179 137 134 +181 139 136 +182 140 137 +183 142 139 +184 144 141 +185 145 142 +187 148 144 +188 149 146 +190 151 148 +190 153 149 +191 155 151 +192 156 152 +194 159 155 +196 160 157 +196 161 159 +197 163 161 +198 164 163 +201 166 164 +206 165 164 +213 164 163 +219 161 162 +224 159 159 +227 158 159 +227 157 158 +226 153 154 +225 150 152 +224 143 148 +222 137 145 +217 132 142 +211 128 140 +204 126 140 +202 126 140 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a/ncl_colormaps_in_mpl/SVG_fs2006.rgb b/ncl_colormaps_in_mpl/SVG_fs2006.rgb new file mode 100644 index 0000000..38d1fe6 --- /dev/null +++ b/ncl_colormaps_in_mpl/SVG_fs2006.rgb @@ -0,0 +1,222 @@ +ncolors = 220 +# r g b + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 + 0 121 56 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +163 211 149 +254 211 170 +254 211 170 +254 211 170 +254 211 170 +254 211 170 +254 211 170 +254 211 170 +254 211 170 +254 211 170 +254 211 170 +254 211 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b/ncl_colormaps_in_mpl/StepSeq25.rgb @@ -0,0 +1,32 @@ +# Stepped sequential scheme, 5 steps +# +# Taken from Department of Geography, University of Oregon + +ncolors = 25 + +# r g b +153 15 15 +178 44 44 +204 81 81 +229 126 126 +255 178 178 +153 84 15 +178 111 44 +204 142 81 +229 177 126 +255 216 178 +107 153 15 +133 178 44 +163 204 81 +195 229 126 +229 255 178 + 15 107 153 + 44 133 178 + 81 163 204 +126 195 229 +178 229 255 + 38 15 153 + 66 44 178 +101 81 204 +143 126 229 +191 178 255 diff --git a/ncl_colormaps_in_mpl/UKM_hadcrut.rgb b/ncl_colormaps_in_mpl/UKM_hadcrut.rgb new file mode 100644 index 0000000..05199cc --- /dev/null +++ b/ncl_colormaps_in_mpl/UKM_hadcrut.rgb @@ -0,0 +1,14 @@ +ncolors = 12 +# r g b + 40 9 218 + 36 77 255 + 60 161 255 + 113 218 255 + 171 250 255 + 226 255 255 + 255 255 190 + 255 223 153 + 255 174 113 + 249 109 93 + 218 36 48 + 164 0 32 diff --git a/ncl_colormaps_in_mpl/ViBlGrWhYeOrRe.rgb b/ncl_colormaps_in_mpl/ViBlGrWhYeOrRe.rgb new file mode 100644 index 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0 0 + 255 23 23 + 255 46 46 + 255 70 70 + 255 93 93 + 255 116 116 + 255 139 139 + 255 162 162 + 255 185 185 + 255 209 209 + 255 232 232 + 255 255 255 diff --git a/ncl_colormaps_in_mpl/WhiteBlue.rgb b/ncl_colormaps_in_mpl/WhiteBlue.rgb new file mode 100644 index 0000000..dd703d3 --- /dev/null +++ b/ncl_colormaps_in_mpl/WhiteBlue.rgb @@ -0,0 +1,256 @@ +ncolors=254 +# R G B + 255 255 255 # white + 254 255 255 # + 253 254 255 # + 253 254 255 # + 252 254 255 # + 251 253 254 # + 250 253 254 # + 250 253 254 # + 249 253 254 # + 248 252 254 # + 247 252 254 # + 247 252 254 # + 246 251 254 # + 245 251 254 # + 244 251 253 # + 243 250 253 # + 243 250 253 # + 242 250 253 # + 241 249 253 # + 240 249 253 # + 240 249 253 # + 239 249 253 # + 238 248 252 # + 237 248 252 # + 237 248 252 # + 236 247 252 # + 235 247 252 # + 234 247 252 # + 233 246 252 # + 233 246 252 # + 232 246 252 # + 231 245 251 # + 230 245 251 # + 230 245 251 # + 229 245 251 # + 228 244 251 # + 227 244 251 # + 227 244 251 # + 226 243 251 # + 225 243 251 # + 224 243 250 # + 223 242 250 # + 223 242 250 # + 222 242 250 # + 221 241 250 # + 220 241 250 # + 220 241 250 # + 219 241 250 # + 218 240 249 # + 217 240 249 # + 217 240 249 # + 215 239 249 # light + 214 239 249 # + 213 238 249 # + 212 238 249 # + 211 237 249 # + 209 237 249 # + 208 237 249 # + 207 236 249 # + 206 236 249 # + 205 235 249 # + 204 235 249 # + 203 235 249 # + 202 234 249 # + 201 234 249 # + 199 233 248 # + 198 233 248 # + 197 233 248 # + 196 232 248 # + 195 232 248 # + 194 231 248 # + 193 231 248 # + 192 231 248 # + 190 230 248 # + 189 230 248 # + 188 229 248 # + 187 229 248 # + 186 229 248 # + 185 228 248 # + 184 228 248 # + 183 227 248 # + 182 227 248 # + 180 226 248 # + 179 226 248 # + 178 226 248 # + 177 225 248 # + 176 225 248 # + 175 224 248 # + 174 224 248 # + 173 224 248 # + 172 223 248 # + 170 223 247 # + 169 222 247 # + 168 222 247 # + 167 222 247 # + 166 221 247 # + 165 221 247 # + 164 220 247 # + 163 220 247 # + 161 220 247 # + 160 219 247 # + 157 218 247 # blue + 156 217 246 # + 154 216 246 # + 153 215 245 # + 152 214 245 # + 150 213 244 # + 149 212 243 # + 148 211 243 # + 146 210 242 # + 145 209 242 # + 144 208 241 # + 142 207 240 # + 141 206 240 # + 140 205 239 # + 138 203 239 # + 137 202 238 # + 135 201 237 # + 134 200 237 # + 133 199 236 # + 131 198 236 # + 130 197 235 # + 129 196 234 # + 127 195 234 # + 126 194 233 # + 125 193 233 # + 123 192 232 # + 122 191 232 # + 121 190 231 # + 119 189 230 # + 118 188 230 # + 117 187 229 # + 115 186 229 # + 114 185 228 # + 113 184 227 # + 111 183 227 # + 110 182 226 # + 109 181 226 # + 107 180 225 # + 106 179 224 # + 105 178 224 # + 103 176 223 # + 102 175 223 # + 100 174 222 # + 99 173 221 # + 98 172 221 # + 96 171 220 # + 95 170 220 # + 94 169 219 # + 92 168 218 # + 91 167 218 # + 90 166 217 # + 87 164 216 # to + 86 163 215 # + 85 161 214 # + 84 160 213 # + 83 158 212 # + 82 157 211 # + 81 155 210 # + 80 154 209 # + 79 152 208 # + 78 151 208 # + 77 150 207 # + 76 148 206 # + 75 147 205 # + 74 145 204 # + 73 144 203 # + 72 142 202 # + 71 141 201 # + 70 139 200 # + 69 138 199 # + 68 137 198 # + 67 135 197 # + 66 134 196 # + 65 132 195 # + 64 131 194 # + 63 129 193 # + 62 128 192 # + 62 127 192 # + 61 125 191 # + 60 124 190 # + 59 122 189 # + 58 121 188 # + 57 119 187 # + 56 118 186 # + 55 116 185 # + 54 115 184 # + 53 114 183 # + 52 112 182 # + 51 111 181 # + 50 109 180 # + 49 108 179 # + 48 106 178 # + 47 105 177 # + 46 103 176 # + 45 102 175 # + 44 101 175 # + 43 99 174 # + 42 98 173 # + 41 96 172 # + 40 95 171 # + 39 93 170 # + 36 89 167 # dark + 36 88 166 # + 36 87 164 # + 35 86 163 # + 35 86 162 # + 35 85 160 # + 35 84 159 # + 35 83 158 # + 35 82 156 # + 34 81 155 # + 34 80 154 # + 34 79 152 # + 34 79 151 # + 34 78 150 # + 34 77 148 # + 33 76 147 # + 33 75 146 # + 33 74 144 # + 33 73 143 # + 33 73 142 # + 33 72 140 # + 32 71 139 # + 32 70 138 # + 32 69 136 # + 32 68 135 # + 32 67 134 # + 32 67 133 # + 31 66 131 # + 31 65 130 # + 31 64 129 # + 31 63 127 # + 31 62 126 # + 30 61 125 # + 30 60 123 # + 30 60 122 # + 30 59 121 # + 30 58 119 # + 30 57 118 # + 29 56 117 # + 29 55 115 # + 29 54 114 # + 29 54 113 # + 29 53 111 # + 29 52 110 # + 28 51 109 # + 28 50 107 # + 28 49 106 # + 28 48 105 # + 28 47 103 # + 28 47 102 # + 27 46 101 # + 27 44 98 # blue \ No newline at end of file diff --git a/ncl_colormaps_in_mpl/WhiteBlueGreenYellowRed.rgb b/ncl_colormaps_in_mpl/WhiteBlueGreenYellowRed.rgb new file mode 100644 index 0000000..58c4a87 --- /dev/null +++ b/ncl_colormaps_in_mpl/WhiteBlueGreenYellowRed.rgb @@ -0,0 +1,256 @@ +ncolors=254 +# R G B + 255 255 255 # white + 252 254 255 # + 250 253 255 # + 247 252 254 # + 244 251 254 # + 242 250 254 # + 239 249 254 # + 236 248 253 # + 234 247 253 # + 231 246 253 # + 229 245 253 # + 226 244 253 # + 223 243 252 # + 221 242 252 # + 218 241 252 # + 215 240 252 # + 213 239 252 # + 210 238 251 # + 207 237 251 # + 205 236 251 # + 202 235 251 # + 199 234 250 # + 197 233 250 # + 194 232 250 # + 191 231 250 # + 189 230 250 # + 186 229 249 # + 183 228 249 # + 181 227 249 # + 178 226 249 # + 176 225 249 # + 173 224 248 # + 170 223 248 # + 168 222 248 # + 165 221 248 # + 162 220 247 # + 157 218 247 # blue + 155 216 246 # + 152 214 245 # + 150 212 243 # + 148 210 242 # + 146 208 241 # + 143 206 240 # + 141 204 238 # + 139 202 237 # + 136 200 236 # + 134 197 235 # + 132 195 234 # + 129 193 232 # + 127 191 231 # + 125 189 230 # + 123 187 229 # + 120 185 228 # + 118 183 226 # + 116 181 225 # + 113 179 224 # + 111 177 223 # + 109 175 221 # + 106 173 220 # + 104 171 219 # + 102 169 218 # + 100 167 217 # + 97 165 215 # + 95 163 214 # + 93 160 213 # + 90 158 212 # + 88 156 211 # + 86 154 209 # + 83 152 208 # + 81 150 207 # + 79 148 206 # + 77 146 204 # + 72 142 202 # dark blue + 72 143 198 # + 72 144 195 # + 72 145 191 # + 72 146 188 # + 72 147 184 # + 72 148 181 # + 72 149 177 # + 72 150 173 # + 72 151 170 # + 72 153 166 # + 72 154 163 # + 72 155 159 # + 72 156 156 # + 72 157 152 # + 72 158 148 # + 72 159 145 # + 72 160 141 # + 72 161 138 # + 73 162 134 # + 73 163 131 # + 73 164 127 # + 73 165 124 # + 73 166 120 # + 73 167 116 # + 73 168 113 # + 73 169 109 # + 73 170 106 # + 73 172 102 # + 73 173 99 # + 73 174 95 # + 73 175 91 # + 73 176 88 # + 73 177 84 # + 73 178 81 # + 73 179 77 # + 73 181 70 # green + 78 182 71 # + 83 184 71 # + 87 185 72 # + 92 187 72 # + 97 188 73 # + 102 189 74 # + 106 191 74 # + 111 192 75 # + 116 193 75 # + 121 195 76 # + 126 196 77 # + 130 198 77 # + 135 199 78 # + 140 200 78 # + 145 202 79 # + 150 203 80 # + 154 204 80 # + 159 206 81 # + 164 207 81 # + 169 209 82 # + 173 210 82 # + 178 211 83 # + 183 213 84 # + 188 214 84 # + 193 215 85 # + 197 217 85 # + 202 218 86 # + 207 220 87 # + 212 221 87 # + 217 222 88 # + 221 224 88 # + 226 225 89 # + 231 226 90 # + 236 228 90 # + 240 229 91 # + 245 231 91 # + 250 232 92 # yellow + 250 229 91 # + 250 225 89 # + 250 222 88 # + 249 218 86 # + 249 215 85 # + 249 212 84 # + 249 208 82 # + 249 205 81 # + 249 201 80 # + 249 198 78 # + 249 195 77 # + 248 191 75 # + 248 188 74 # + 248 184 73 # + 248 181 71 # + 248 178 70 # + 248 174 69 # + 248 171 67 # + 247 167 66 # + 247 164 64 # + 247 160 63 # + 247 157 62 # + 247 154 60 # + 247 150 59 # + 247 147 58 # + 246 143 56 # + 246 140 55 # + 246 137 53 # + 246 133 52 # + 246 130 51 # + 246 126 49 # + 246 123 48 # + 246 120 47 # + 245 116 45 # + 245 113 44 # + 245 106 41 # orange + 244 104 41 # + 243 102 41 # + 242 100 41 # + 241 98 41 # + 240 96 41 # + 239 94 41 # + 239 92 41 # + 238 90 41 # + 237 88 41 # + 236 86 41 # + 235 84 41 # + 234 82 41 # + 233 80 41 # + 232 78 41 # + 231 76 41 # + 230 74 41 # + 229 72 41 # + 228 70 41 # + 228 67 40 # + 227 65 40 # + 226 63 40 # + 225 61 40 # + 224 59 40 # + 223 57 40 # + 222 55 40 # + 221 53 40 # + 220 51 40 # + 219 49 40 # + 218 47 40 # + 217 45 40 # + 217 43 40 # + 216 41 40 # + 215 39 40 # + 214 37 40 # + 213 35 40 # + 211 31 40 # red + 209 31 40 # + 207 30 39 # + 206 30 39 # + 204 30 38 # + 202 30 38 # + 200 29 38 # + 199 29 37 # + 197 29 37 # + 195 29 36 # + 193 28 36 # + 192 28 36 # + 190 28 35 # + 188 27 35 # + 186 27 34 # + 185 27 34 # + 183 27 34 # + 181 26 33 # + 179 26 33 # + 178 26 32 # + 176 26 32 # + 174 25 31 # + 172 25 31 # + 171 25 31 # + 169 25 30 # + 167 24 30 # + 165 24 29 # + 164 24 29 # + 162 23 29 # + 160 23 28 # + 158 23 28 # + 157 23 27 # + 155 22 27 # + 153 22 27 # + 151 22 26 # + 150 22 26 # + 146 21 25 # dark red diff --git a/ncl_colormaps_in_mpl/WhiteGreen.rgb b/ncl_colormaps_in_mpl/WhiteGreen.rgb new file mode 100644 index 0000000..b04102d --- /dev/null +++ b/ncl_colormaps_in_mpl/WhiteGreen.rgb @@ -0,0 +1,256 @@ +ncolors=254 +# R G B + 255 255 255 # white + 253 254 253 # + 252 254 252 # + 250 253 250 # + 249 252 248 # + 247 252 246 # + 246 251 245 # + 244 251 243 # + 243 250 241 # + 241 249 240 # + 240 249 238 # + 238 248 236 # + 237 247 234 # + 235 247 233 # + 234 246 231 # + 232 245 229 # + 231 245 228 # + 229 244 226 # + 227 244 224 # + 226 243 222 # + 224 242 221 # + 223 242 219 # + 221 241 217 # + 220 240 215 # + 218 240 214 # + 217 239 212 # + 215 238 210 # + 214 238 209 # + 212 237 207 # + 211 237 205 # + 209 236 203 # + 208 235 202 # + 206 235 200 # + 205 234 198 # + 203 233 197 # + 201 233 195 # + 200 232 193 # + 198 231 191 # + 197 231 190 # + 195 230 188 # + 194 230 186 # + 192 229 185 # + 191 228 183 # + 189 228 181 # + 188 227 179 # + 186 226 178 # + 185 226 176 # + 183 225 174 # + 182 225 173 # + 180 224 171 # + 179 223 169 # + 177 223 167 # + 175 222 166 # + 174 221 164 # + 172 221 162 # + 171 220 161 # + 169 219 159 # + 168 219 157 # + 166 218 155 # + 165 218 154 # + 163 217 152 # + 162 216 150 # + 160 216 149 # + 159 215 147 # + 157 214 145 # + 156 214 143 # + 154 213 142 # + 153 212 140 # + 151 212 138 # + 149 211 136 # + 148 211 135 # + 146 210 133 # + 145 209 131 # + 143 209 130 # + 142 208 128 # + 140 207 126 # + 139 207 124 # + 137 206 123 # + 136 205 121 # + 134 205 119 # + 133 204 118 # + 131 204 116 # + 130 203 114 # + 128 202 112 # + 125 201 109 # green + 124 200 108 # + 122 200 107 # + 121 199 106 # + 119 199 105 # + 118 198 104 # + 117 198 103 # + 115 197 102 # + 114 197 101 # + 113 196 100 # + 111 196 99 # + 110 195 98 # + 108 195 97 # + 107 194 96 # + 106 194 95 # + 104 193 93 # + 103 193 92 # + 102 192 91 # + 100 191 90 # + 99 191 89 # + 97 190 88 # + 96 190 87 # + 95 189 86 # + 93 189 85 # + 92 188 84 # + 91 188 83 # + 89 187 82 # + 88 187 81 # + 86 186 80 # + 85 186 79 # + 84 185 78 # + 82 185 77 # + 81 184 76 # + 80 184 75 # + 78 183 74 # + 77 182 73 # + 75 182 72 # + 74 181 71 # + 73 181 70 # + 71 180 69 # + 70 180 68 # + 69 179 67 # + 67 179 66 # + 66 178 64 # + 64 178 63 # + 63 177 62 # + 62 177 61 # + 60 176 60 # + 59 176 59 # + 58 175 58 # + 56 175 57 # + 55 174 56 # + 53 173 55 # + 52 173 54 # + 51 172 53 # + 49 172 52 # + 48 171 51 # + 47 171 50 # + 45 170 49 # + 44 170 48 # + 42 169 47 # + 41 169 46 # + 40 168 45 # + 38 168 44 # + 37 167 43 # + 36 167 42 # + 34 166 41 # + 33 166 40 # + 31 165 39 # + 30 164 38 # + 29 164 37 # + 27 163 35 # + 26 163 34 # + 25 162 33 # + 23 162 32 # + 22 161 31 # + 20 161 30 # + 19 160 29 # + 18 160 28 # + 16 159 27 # + 15 159 26 # + 14 158 25 # + 12 158 24 # + 11 157 23 # + 9 157 22 # + 8 156 21 # green + 8 155 21 # + 8 154 21 # + 8 153 21 # + 8 152 22 # + 8 152 22 # + 8 151 22 # + 8 150 22 # + 8 149 22 # + 8 148 22 # + 8 147 23 # + 8 146 23 # + 8 145 23 # + 8 144 23 # + 8 143 23 # + 7 143 23 # + 7 142 24 # + 7 141 24 # + 7 140 24 # + 7 139 24 # + 7 138 24 # + 7 137 24 # + 7 136 25 # + 7 135 25 # + 7 135 25 # + 7 134 25 # + 7 133 25 # + 7 132 25 # + 7 131 26 # + 7 130 26 # + 7 129 26 # + 7 128 26 # + 7 127 26 # + 7 126 26 # + 7 126 27 # + 7 125 27 # + 7 124 27 # + 7 123 27 # + 7 122 27 # + 7 121 27 # + 7 120 28 # + 7 119 28 # + 7 118 28 # + 6 118 28 # + 6 117 28 # + 6 116 28 # + 6 115 29 # + 6 114 29 # + 6 113 29 # + 6 112 29 # + 6 111 29 # + 6 110 29 # + 6 110 30 # + 6 109 30 # + 6 108 30 # + 6 107 30 # + 6 106 30 # + 6 105 30 # + 6 104 31 # + 6 103 31 # + 6 102 31 # + 6 101 31 # + 6 101 31 # + 6 100 31 # + 6 99 32 # + 6 98 32 # + 6 97 32 # + 6 96 32 # + 6 95 32 # + 6 94 32 # + 6 93 33 # + 5 93 33 # + 5 92 33 # + 5 91 33 # + 5 90 33 # + 5 89 33 # + 5 88 34 # + 5 87 34 # + 5 86 34 # + 5 85 34 # + 5 84 34 # + 5 84 34 # + 5 83 35 # + 5 82 35 # + 5 80 35 # green \ No newline at end of file diff --git a/ncl_colormaps_in_mpl/WhiteYellowOrangeRed.rgb b/ncl_colormaps_in_mpl/WhiteYellowOrangeRed.rgb new file mode 100644 index 0000000..7bc6a77 --- /dev/null +++ b/ncl_colormaps_in_mpl/WhiteYellowOrangeRed.rgb @@ -0,0 +1,256 @@ +ncolors=254 +# R G B + 255 255 255 # white + 255 255 253 # + 255 254 251 # + 255 254 249 # + 255 253 247 # + 255 253 245 # + 255 253 243 # + 255 252 242 # + 255 252 240 # + 254 252 238 # + 254 251 236 # + 254 251 234 # + 254 250 232 # + 254 250 230 # + 254 250 228 # + 254 249 226 # + 254 249 224 # + 254 248 222 # + 254 248 220 # + 254 248 218 # + 254 247 217 # + 254 247 215 # + 254 247 213 # + 254 246 211 # + 254 246 209 # + 254 245 207 # + 254 245 205 # + 253 245 203 # + 253 244 201 # + 253 244 199 # + 253 243 197 # + 253 243 195 # + 253 243 193 # + 253 242 192 # + 253 242 190 # + 253 242 188 # + 253 241 186 # + 253 241 184 # + 253 240 182 # + 253 240 180 # + 253 240 178 # + 253 239 176 # + 253 239 174 # + 253 238 172 # + 252 238 170 # + 252 238 168 # + 252 237 167 # + 252 237 165 # + 252 237 163 # + 252 236 161 # + 252 236 159 # + 252 235 155 # light + 252 234 153 # + 252 233 151 # + 252 232 149 # + 252 230 147 # + 252 229 145 # + 252 228 143 # + 252 227 141 # + 252 226 139 # + 252 225 137 # + 252 224 135 # + 252 223 133 # + 252 221 131 # + 253 220 129 # + 253 219 127 # + 253 218 125 # + 253 217 123 # + 253 216 121 # + 253 215 119 # + 253 213 117 # + 253 212 115 # + 253 211 113 # + 253 210 111 # + 253 209 109 # + 253 208 107 # + 253 207 105 # + 253 206 103 # + 253 204 100 # + 253 203 98 # + 253 202 96 # + 253 201 94 # + 253 200 92 # + 253 199 90 # + 253 198 88 # + 253 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+++ b/ncl_colormaps_in_mpl/cmocean_turbid.rgb @@ -0,0 +1,258 @@ +ncolors = 256 +# r g b +233 246 171 +232 245 170 +232 243 168 +231 242 167 +230 241 165 +230 240 164 +229 239 162 +229 238 161 +228 236 159 +228 235 158 +227 234 156 +227 233 155 +226 232 154 +226 231 152 +225 229 151 +224 228 149 +224 227 148 +223 226 146 +223 225 145 +222 224 143 +222 223 142 +221 221 141 +221 220 139 +220 219 138 +220 218 136 +219 217 135 +219 216 134 +218 215 132 +218 213 131 +217 212 130 +217 211 128 +217 210 127 +216 209 126 +216 208 124 +215 207 123 +215 206 122 +214 204 120 +214 203 119 +213 202 118 +213 201 116 +212 200 115 +212 199 114 +211 198 113 +211 197 111 +211 195 110 +210 194 109 +210 193 108 +209 192 107 +209 191 105 +208 190 104 +208 189 103 +207 188 102 +207 187 101 +207 186 100 +206 184 98 +206 183 97 +205 182 96 +205 181 95 +204 180 94 +204 179 93 +203 178 92 +203 177 91 +202 176 90 +202 175 89 +202 174 88 +201 172 87 +201 171 86 +200 170 85 +200 169 84 +199 168 83 +199 167 82 +198 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58 +135 92 57 +134 91 57 +133 90 57 +132 90 57 +131 89 57 +130 88 57 +129 88 57 +128 87 57 +127 86 57 +126 86 57 +125 85 56 +124 84 56 +123 84 56 +122 83 56 +121 83 56 +120 82 56 +119 81 56 +118 81 56 +117 80 55 +116 79 55 +115 79 55 +114 78 55 +113 78 55 +112 77 55 +111 76 54 +110 76 54 +109 75 54 +108 75 54 +107 74 53 +106 73 53 +105 73 53 +103 72 53 +102 72 53 +101 71 52 +100 70 52 + 99 70 52 + 98 69 52 + 97 69 51 + 96 68 51 + 95 67 51 + 94 67 51 + 93 66 50 + 92 66 50 + 91 65 50 + 90 65 49 + 89 64 49 + 88 63 49 + 87 63 48 + 86 62 48 + 85 62 48 + 84 61 48 + 83 60 47 + 82 60 47 + 81 59 47 + 80 59 46 + 79 58 46 + 78 57 46 + 77 57 45 + 75 56 45 + 74 56 44 + 73 55 44 + 72 54 44 + 71 54 43 + 70 53 43 + 69 53 43 + 68 52 42 + 67 51 42 + 66 51 41 + 65 50 41 + 64 50 41 + 63 49 40 + 62 48 40 + 61 48 39 + 60 47 39 + 59 47 39 + 58 46 38 + 57 45 38 + 56 45 37 + 55 44 37 + 54 43 36 + 53 43 36 + 52 42 36 + 51 42 35 + 50 41 35 + 49 40 34 + 48 40 34 + 47 39 33 + 46 38 33 + 45 38 32 + 44 37 32 + 43 36 31 + 42 36 31 + 41 35 31 + 40 35 30 + 39 34 30 + 38 33 29 + 37 33 29 + 36 32 28 + 35 31 28 + 34 31 27 diff --git a/ncl_colormaps_in_mpl/cmp_b2r.rgb b/ncl_colormaps_in_mpl/cmp_b2r.rgb new file mode 100644 index 0000000..f6605b6 --- /dev/null +++ b/ncl_colormaps_in_mpl/cmp_b2r.rgb @@ -0,0 +1,66 @@ +ncolors=64 +# r g b +49 54 149 +52 63 153 +55 72 158 +57 81 162 +60 89 166 +63 98 171 +66 107 175 +69 116 180 +75 124 184 +81 132 188 +88 140 192 +95 148 196 +101 156 200 +108 163 204 +115 171 208 +122 178 212 +130 184 215 +137 190 218 +145 196 222 +153 203 225 +161 209 228 +168 215 232 +176 219 234 +183 223 237 +191 227 239 +198 230 241 +206 234 243 +213 238 245 +221 241 247 +226 242 240 +231 239 225 +235 236 211 +239 234 196 +243 231 181 +247 228 167 +252 225 152 +254 221 141 +254 214 134 +254 207 128 +254 200 121 +253 193 115 +253 186 108 +253 179 101 +253 171 96 +251 162 91 +250 153 87 +249 144 83 +248 134 79 +246 125 74 +245 116 70 +243 107 66 +239 99 62 +235 90 58 +231 81 54 +227 73 50 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+89 221 255 +98 229 255 +107 235 254 +112 235 241 +117 235 228 +122 235 215 +127 236 202 +132 236 189 +137 236 177 +147 238 172 +157 241 171 +168 244 169 +178 247 167 +189 250 165 +200 253 163 +208 253 159 +213 250 152 +219 247 146 +224 244 139 +230 241 133 +236 238 126 +240 235 120 +243 227 115 +245 220 109 +248 212 104 +250 205 98 +252 197 93 +255 190 88 +255 185 84 +255 181 81 +255 176 78 +255 172 75 +255 167 72 +255 163 69 +255 163 74 +255 167 85 +255 171 95 +255 175 105 +255 179 115 +255 183 126 +255 189 139 +255 200 158 +255 211 178 +255 222 197 +255 233 216 +255 244 236 +255 255 255 diff --git a/ncl_colormaps_in_mpl/cosam.rgb b/ncl_colormaps_in_mpl/cosam.rgb new file mode 100644 index 0000000..8d41932 --- /dev/null +++ b/ncl_colormaps_in_mpl/cosam.rgb @@ -0,0 +1,12 @@ +ncolors= 10 +# r g b + 120 0 136 + 90 0 184 + 70 0 245 + 0 170 225 + 0 200 200 + 0 200 125 + 195 255 0 + 255 255 0 + 255 155 0 + 255 0 0 diff --git a/ncl_colormaps_in_mpl/cosam12.rgb b/ncl_colormaps_in_mpl/cosam12.rgb new file mode 100644 index 0000000..03e481a --- /dev/null +++ b/ncl_colormaps_in_mpl/cosam12.rgb @@ -0,0 +1,14 @@ +ncolors= 12 +# r g b + 100 0 116 + 120 0 136 + 90 0 184 + 70 0 245 + 0 170 225 + 0 200 200 + 0 200 125 + 195 255 0 + 255 255 0 + 255 100 0 + 255 155 0 + 255 0 0 diff --git a/ncl_colormaps_in_mpl/cyclic.rgb b/ncl_colormaps_in_mpl/cyclic.rgb new file mode 100644 index 0000000..8f3cf2e --- /dev/null +++ b/ncl_colormaps_in_mpl/cyclic.rgb @@ -0,0 +1,8 @@ +ncolors = 6 +# r g b + 1.0 0.0 0.0 + 0.0 1.0 0.0 + 0.0 0.0 1.0 + 1.0 1.0 0.0 + 0.0 1.0 1.0 + 1.0 0.0 1.0 diff --git a/ncl_colormaps_in_mpl/default.rgb b/ncl_colormaps_in_mpl/default.rgb new file mode 100644 index 0000000..49201d1 --- /dev/null +++ b/ncl_colormaps_in_mpl/default.rgb @@ -0,0 +1,36 @@ +# This is the old default NCL color table +ncolors = 30 + +# r g b + -1.0 0.0 0.0 /* white/black */ + -1.0 0.0 0.0 /* white/black */ + 1.0 0.0 0.0 /* red */ + 0.0 1.0 0.0 /* green */ + 0.0 0.0 1.0 /* blue */ + 1.0 1.0 0.0 /* yellow */ + 0.0 1.0 1.0 /* cyan */ + 1.0 0.0 1.0 /* magenta */ + 0.5 0.0 0.0 + 0.5 1.0 1.0 + 0.0 0.0 0.5 + 1.0 1.0 0.5 + 0.5 0.0 1.0 + 1.0 0.5 0.0 + 0.0 0.5 1.0 + 0.5 1.0 0.0 + 0.5 0.0 0.5 + 0.5 1.0 0.5 + 1.0 0.5 1.0 + 0.0 0.5 0.0 + 0.5 0.5 1.0 + 1.0 0.0 0.5 + 0.5 0.5 0.0 + 0.0 0.5 0.5 + 1.0 0.5 0.5 + 0.0 1.0 0.5 + 0.5 0.5 0.5 + 0.125 0.125 0.125 + 0.75 0.75 0.75 + 0.25 0.25 0.25 + 0.625 0.625 0.625 + 0.375 0.375 0.375 diff --git a/ncl_colormaps_in_mpl/detail.rgb b/ncl_colormaps_in_mpl/detail.rgb new file mode 100644 index 0000000..35024af --- /dev/null +++ b/ncl_colormaps_in_mpl/detail.rgb @@ -0,0 +1,256 @@ +ncolors = 254 +# r g b +0 0 255 +0 10 255 +1 20 254 +2 40 253 +3 60 252 +4 80 251 +5 114 250 +6 145 249 +7 175 248 +8 202 247 +9 225 246 +10 241 245 +11 251 244 +12 253 243 +13 248 242 +14 235 241 +15 216 240 +16 192 239 +17 163 238 +18 133 237 +19 102 236 +20 72 235 +21 46 234 +22 24 233 +23 9 232 +24 1 231 +25 0 230 +26 7 229 +27 21 228 +28 41 227 +29 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b/ncl_colormaps_in_mpl/example.rgb new file mode 100644 index 0000000..2df4177 --- /dev/null +++ b/ncl_colormaps_in_mpl/example.rgb @@ -0,0 +1,115 @@ +ncolors = 113 +# r g b + 1.000000 1.000000 0.968627 + 1.000000 1.000000 0.905882 + 1.000000 1.000000 0.843137 + 1.000000 1.000000 0.780392 + 1.000000 1.000000 0.717647 + 1.000000 1.000000 0.654902 + 1.000000 1.000000 0.592157 + 1.000000 1.000000 0.529412 + 1.000000 1.000000 0.470588 + 1.000000 1.000000 0.407843 + 1.000000 1.000000 0.345098 + 1.000000 1.000000 0.282353 + 1.000000 1.000000 0.219608 + 1.000000 1.000000 0.156863 + 1.000000 1.000000 0.094118 + 1.000000 1.000000 0.031373 + 1.000000 0.968627 0.031373 + 1.000000 0.905882 0.094118 + 1.000000 0.843137 0.156863 + 1.000000 0.780392 0.219608 + 1.000000 0.717647 0.282353 + 1.000000 0.654902 0.345098 + 1.000000 0.592157 0.407843 + 1.000000 0.529412 0.470588 + 1.000000 0.470588 0.529412 + 1.000000 0.407843 0.592157 + 1.000000 0.345098 0.654902 + 1.000000 0.282353 0.717647 + 1.000000 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0.000000 0.000000 0.968627 + 0.000000 0.000000 0.905882 + 0.000000 0.000000 0.843137 + 0.000000 0.000000 0.780392 + 0.000000 0.000000 0.717647 + 0.000000 0.000000 0.654902 + 0.000000 0.000000 0.592157 + 0.000000 0.000000 0.529412 + 0.000000 0.000000 0.470588 + 0.000000 0.000000 0.407843 + 0.000000 0.000000 0.345098 + 0.000000 0.000000 0.282353 + 0.000000 0.000000 0.219608 + 0.000000 0.000000 0.156863 + 0.000000 0.000000 0.094118 + 0.000000 0.000000 0.031373 diff --git a/ncl_colormaps_in_mpl/extrema.rgb b/ncl_colormaps_in_mpl/extrema.rgb new file mode 100644 index 0000000..f5eeb11 --- /dev/null +++ b/ncl_colormaps_in_mpl/extrema.rgb @@ -0,0 +1,256 @@ +ncolors = 254 +# r g b +0 0 255 +2 0 252 +5 0 249 +8 1 246 +11 3 243 +14 9 240 +17 20 237 +19 39 235 +22 67 232 +25 105 229 +27 149 227 +30 193 224 +32 229 222 +35 251 219 +37 253 217 +39 238 215 +42 208 212 +44 171 210 +46 133 208 +48 99 206 +50 74 204 +53 59 201 +55 54 199 +57 61 197 +59 77 195 +61 101 193 +62 130 192 +64 162 190 +66 194 188 +68 221 186 +70 241 184 +72 252 182 +73 254 181 +75 246 179 +77 231 177 +78 209 176 +80 184 174 +81 158 173 +83 132 171 +84 109 170 +86 89 168 +87 74 167 +88 63 166 +90 56 164 +91 54 163 +92 57 162 +93 63 161 +95 72 159 +96 84 158 +97 99 157 +98 116 156 +99 133 155 +100 151 154 +101 169 153 +102 187 152 +103 203 151 +104 217 150 +105 229 149 +106 239 148 +107 247 147 +108 252 146 +109 254 145 +110 254 144 +110 253 144 +111 249 143 +112 244 142 +113 237 141 +113 229 141 +114 221 140 +115 211 139 +115 202 139 +116 192 138 +116 182 138 +117 173 137 +117 163 137 +118 154 136 +118 146 136 +119 137 135 +119 130 135 +120 122 134 +120 116 134 +121 109 133 +121 104 133 +121 98 133 +122 93 132 +122 89 132 +122 85 132 +123 81 131 +123 78 131 +123 75 131 +124 73 130 +124 70 130 +124 68 130 +124 66 130 +125 65 129 +125 63 129 +125 62 129 +125 61 129 +125 60 129 +126 59 128 +126 59 128 +126 58 128 +126 57 128 +126 57 128 +126 57 128 +126 56 128 +126 56 128 +126 56 128 +127 56 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 55 127 +127 54 127 +127 54 127 +127 54 127 +127 54 127 +127 54 127 +127 54 127 +128 54 126 +128 54 126 +128 54 126 +128 55 126 +128 55 126 +128 55 126 +128 55 126 +128 55 126 +128 56 126 +129 56 125 +129 57 125 +129 57 125 +129 58 125 +129 59 125 +130 60 124 +130 61 124 +130 63 124 +130 64 124 +131 66 123 +131 69 123 +131 71 123 +132 74 122 +132 78 122 +132 81 122 +133 85 121 +133 90 121 +133 95 121 +134 101 120 +134 107 120 +135 114 119 +135 121 119 +136 129 118 +136 137 118 +137 146 117 +137 155 117 +138 165 116 +138 175 116 +139 185 115 +139 196 115 +140 206 114 +141 216 113 +141 225 113 +142 234 112 +143 241 111 +144 247 110 +144 252 110 +145 254 109 +146 254 108 +147 252 107 +148 247 106 +149 240 105 +150 230 104 +151 218 103 +152 203 102 +153 186 101 +154 169 100 +155 150 99 +156 132 98 +157 114 97 +158 97 96 +159 82 95 +161 70 93 +162 61 92 +163 56 91 +164 54 90 +166 58 88 +167 65 87 +168 78 86 +170 95 84 +171 116 83 +173 140 81 +174 167 80 +176 193 78 +177 218 77 +179 238 75 +181 250 73 +182 255 72 +184 249 70 +186 233 68 +188 209 66 +190 179 64 +192 147 62 +193 115 61 +195 88 59 +197 68 57 +199 56 55 +201 55 53 +204 65 50 +206 86 48 +208 116 46 +210 153 44 +212 192 42 +215 226 39 +217 249 37 +219 254 35 +222 240 32 +224 209 30 +227 167 27 +229 121 25 +232 80 22 +235 48 19 +237 26 17 +240 12 14 +243 5 11 +246 2 8 diff --git a/ncl_colormaps_in_mpl/grads_default.rgb b/ncl_colormaps_in_mpl/grads_default.rgb new file mode 100644 index 0000000..0ad89e4 --- /dev/null +++ b/ncl_colormaps_in_mpl/grads_default.rgb @@ -0,0 +1,18 @@ +# GrADS color map from http://www.iges.org/grads/gadoc/colorcontrol.html + +ncolors = 14 +# r g b + 250 60 60 + 0 220 0 + 30 60 255 + 0 200 200 + 240 0 130 + 230 220 50 + 240 130 40 + 160 0 200 + 160 230 50 + 0 160 255 + 230 175 45 + 0 210 140 + 130 0 220 + 170 170 170 diff --git a/ncl_colormaps_in_mpl/grads_rainbow.rgb b/ncl_colormaps_in_mpl/grads_rainbow.rgb new file mode 100644 index 0000000..64d0427 --- /dev/null +++ b/ncl_colormaps_in_mpl/grads_rainbow.rgb @@ -0,0 +1,17 @@ +# GrADS color map from http://www.iges.org/grads/gadoc/colorcontrol.html + +ncolors = 13 +# r g b + 160 0 200 + 130 0 220 + 30 60 255 + 0 160 255 + 0 200 200 + 0 210 140 + 0 220 0 + 160 230 50 + 230 220 50 + 230 175 45 + 240 130 40 + 250 60 60 + 240 0 130 diff --git a/ncl_colormaps_in_mpl/gscyclic.rgb b/ncl_colormaps_in_mpl/gscyclic.rgb new file mode 100644 index 0000000..7b3307a --- /dev/null +++ b/ncl_colormaps_in_mpl/gscyclic.rgb @@ -0,0 +1,8 @@ +ncolors = 6 +# r g b + 0.5 0.5 0.5 + 0.125 0.125 0.125 + 0.75 0.75 0.75 + 0.25 0.25 0.25 + 0.625 0.625 0.625 + 0.375 0.375 0.375 diff --git a/ncl_colormaps_in_mpl/gsdtol.rgb b/ncl_colormaps_in_mpl/gsdtol.rgb new file mode 100644 index 0000000..29195db --- /dev/null +++ b/ncl_colormaps_in_mpl/gsdtol.rgb @@ -0,0 +1,33 @@ +ncolors = 31 +# r g b + 0.03125 0.03125 0.03125 + 0.06250 0.06250 0.06250 + 0.09375 0.09375 0.09375 + 0.12500 0.12500 0.12500 + 0.15625 0.15625 0.15625 + 0.18750 0.18750 0.18750 + 0.21875 0.21875 0.21875 + 0.25000 0.25000 0.25000 + 0.28125 0.28125 0.28125 + 0.31250 0.31250 0.31250 + 0.34375 0.34375 0.34375 + 0.37500 0.37500 0.37500 + 0.40625 0.40625 0.40625 + 0.43750 0.43750 0.43750 + 0.46875 0.46875 0.46875 + 0.50000 0.50000 0.50000 + 0.53125 0.53125 0.53125 + 0.56250 0.56250 0.56250 + 0.59375 0.59375 0.59375 + 0.62500 0.62500 0.62500 + 0.65625 0.65625 0.65625 + 0.68750 0.68750 0.68750 + 0.71875 0.71875 0.71875 + 0.75000 0.75000 0.75000 + 0.78125 0.78125 0.78125 + 0.81250 0.81250 0.81250 + 0.84375 0.84375 0.84375 + 0.87500 0.87500 0.87500 + 0.90625 0.90625 0.90625 + 0.93750 0.93750 0.93750 + 0.96875 0.96875 0.96875 diff --git a/ncl_colormaps_in_mpl/gsltod.rgb b/ncl_colormaps_in_mpl/gsltod.rgb new file mode 100644 index 0000000..3b25536 --- /dev/null +++ b/ncl_colormaps_in_mpl/gsltod.rgb @@ -0,0 +1,33 @@ +ncolors = 31 +# r g b + 0.96875 0.96875 0.96875 + 0.93750 0.93750 0.93750 + 0.90625 0.90625 0.90625 + 0.87500 0.87500 0.87500 + 0.84375 0.84375 0.84375 + 0.81250 0.81250 0.81250 + 0.78125 0.78125 0.78125 + 0.75000 0.75000 0.75000 + 0.71875 0.71875 0.71875 + 0.68750 0.68750 0.68750 + 0.65625 0.65625 0.65625 + 0.62500 0.62500 0.62500 + 0.59375 0.59375 0.59375 + 0.56250 0.56250 0.56250 + 0.53125 0.53125 0.53125 + 0.50000 0.50000 0.50000 + 0.46875 0.46875 0.46875 + 0.43750 0.43750 0.43750 + 0.40625 0.40625 0.40625 + 0.37500 0.37500 0.37500 + 0.34375 0.34375 0.34375 + 0.31250 0.31250 0.31250 + 0.28125 0.28125 0.28125 + 0.25000 0.25000 0.25000 + 0.21875 0.21875 0.21875 + 0.18750 0.18750 0.18750 + 0.15625 0.15625 0.15625 + 0.12500 0.12500 0.12500 + 0.09375 0.09375 0.09375 + 0.06250 0.06250 0.06250 + 0.03125 0.03125 0.03125 diff --git a/ncl_colormaps_in_mpl/gui_default.rgb b/ncl_colormaps_in_mpl/gui_default.rgb new file mode 100644 index 0000000..4b8ad24 --- /dev/null +++ b/ncl_colormaps_in_mpl/gui_default.rgb @@ -0,0 +1,26 @@ +# number of colors in table +ncolors = 22 + +# r g b + 0 0 1 + 0 0.4 1 + 0 0.835294 1 + 0.094118 1 1 + 0.4 1 1 + 0.6 1 1 + 0.4 1 0.6 + 0.101961 1 0.168627 + 0.2 1 0 + 0.494118 1 0 + 0.8 1 0 + 0.878431 0.964706 0.007843 + 1 1 0 + 1 1 0 + 1 0.909804 0 + 1 0.8 0 + 1 0.6 0 + 1 0.5 0 + 1 0.4 0 + 1 0.2 0 + 1 0.160784 0 + 1 0 0 diff --git a/ncl_colormaps_in_mpl/helix.rgb b/ncl_colormaps_in_mpl/helix.rgb new file mode 100644 index 0000000..1f6bde7 --- /dev/null +++ b/ncl_colormaps_in_mpl/helix.rgb @@ -0,0 +1,256 @@ +ncolors = 254 +# r g b +0 0 0 +0 0 0 +1 1 0 +2 1 0 +3 2 0 +4 2 0 +5 3 0 +6 4 0 +7 4 0 +7 5 0 +8 6 0 +9 6 0 +10 7 0 +10 8 0 +11 9 0 +12 10 0 +12 11 0 +13 11 0 +14 12 0 +14 13 0 +15 14 0 +15 15 0 +16 16 0 +16 17 0 +17 18 0 +17 19 0 +18 20 0 +18 21 0 +18 22 0 +19 23 0 +19 25 0 +19 26 0 +20 27 0 +20 28 0 +20 29 0 +20 30 0 +20 31 1 +21 33 1 +21 34 1 +21 35 1 +21 36 2 +21 37 2 +21 39 2 +21 40 2 +21 41 3 +21 42 3 +21 43 4 +21 44 4 +20 46 4 +20 47 5 +20 48 5 +20 49 6 +20 50 7 +19 52 7 +19 53 8 +19 54 8 +18 55 9 +18 56 10 +18 57 10 +17 58 11 +17 59 12 +17 60 13 +16 61 14 +16 62 15 +16 63 15 +15 64 16 +15 65 17 +14 66 18 +14 67 19 +13 68 21 +13 69 22 +12 70 23 +12 71 24 +11 72 25 +11 72 26 +10 73 28 +10 74 29 +9 75 30 +9 75 32 +8 76 33 +8 76 34 +7 77 36 +7 78 37 +6 78 39 +6 79 40 +5 79 42 +5 79 43 +4 80 45 +4 80 46 +4 80 48 +3 81 50 +3 81 51 +2 81 53 +2 81 55 +2 81 56 +1 81 58 +1 81 60 +1 81 62 +1 81 63 +0 81 65 +0 81 67 +0 81 69 +0 81 71 +0 81 73 +0 80 74 +0 80 76 +0 80 78 +0 79 80 +0 79 82 +0 79 84 +0 78 86 +0 77 88 +0 77 90 +0 76 91 +0 76 93 +1 75 95 +1 74 97 +1 74 99 +2 73 101 +2 72 103 +3 71 105 +3 70 106 +4 69 108 +4 69 110 +5 68 112 +6 67 114 +6 66 115 +7 65 117 +8 64 119 +9 62 121 +10 61 122 +11 60 124 +12 59 126 +13 58 127 +14 57 129 +15 55 130 +16 54 132 +18 53 133 +19 52 135 +20 50 136 +22 49 138 +23 48 139 +25 47 140 +26 45 142 +28 44 143 +29 43 144 +31 41 145 +33 40 146 +34 39 147 +36 37 148 +38 36 149 +40 35 150 +42 33 151 +44 32 152 +46 31 153 +48 29 154 +50 28 154 +52 27 155 +54 25 156 +57 24 156 +59 23 157 +61 22 157 +63 20 158 +66 19 158 +68 18 158 +71 17 158 +73 16 159 +75 15 159 +78 14 159 +81 13 159 +83 12 159 +86 11 159 +88 10 159 +91 9 158 +94 8 158 +96 7 158 +99 6 157 +102 5 157 +104 5 156 +107 4 156 +110 3 155 +113 3 155 +115 2 154 +118 2 153 +121 1 152 +124 1 151 +127 1 150 +129 0 149 +132 0 148 +135 0 147 +138 0 146 +141 0 145 +143 0 143 +146 0 142 +149 0 141 +152 0 139 +155 0 138 +157 0 136 +160 1 135 +163 1 133 +165 1 132 +168 2 130 +171 3 128 +173 3 126 +176 4 125 +179 5 123 +181 6 121 +184 6 119 +186 7 117 +188 8 115 +191 10 113 +193 11 111 +196 12 109 +198 13 107 +200 15 105 +202 16 103 +204 18 100 +206 19 98 +209 21 96 +211 23 94 +212 24 92 +214 26 89 +216 28 87 +218 30 85 +220 32 83 +221 34 80 +223 37 78 +224 39 76 +226 41 73 +227 44 71 +229 46 69 +230 48 66 +231 51 64 +232 54 62 +233 56 60 +234 59 57 +235 62 55 +236 65 53 +237 68 51 +238 71 49 +238 74 46 +239 77 44 +240 80 42 +240 83 40 +240 86 38 +241 89 36 +241 93 34 +241 96 32 +241 99 30 +241 103 28 +241 106 27 +241 110 25 +240 113 23 +240 117 21 diff --git a/ncl_colormaps_in_mpl/helix1.rgb b/ncl_colormaps_in_mpl/helix1.rgb new file mode 100644 index 0000000..99b38dd --- /dev/null +++ b/ncl_colormaps_in_mpl/helix1.rgb @@ -0,0 +1,256 @@ +ncolors = 254 +# r g b +0 0 0 +0 0 0 +1 1 1 +2 1 1 +3 2 2 +4 2 2 +5 3 3 +6 4 4 +7 4 4 +7 5 5 +8 6 6 +9 6 6 +10 7 7 +10 8 8 +11 9 9 +12 10 10 +12 11 11 +13 11 11 +14 12 12 +14 13 13 +15 14 14 +15 15 15 +16 16 16 +16 17 17 +17 18 18 +17 19 19 +18 20 20 +18 21 21 +18 22 22 +19 23 23 +19 25 25 +19 26 26 +20 27 27 +20 28 28 +20 29 29 +20 30 30 +20 31 31 +21 33 33 +21 34 34 +21 35 35 +21 36 36 +21 37 37 +21 39 39 +21 40 40 +21 41 41 +21 42 42 +21 43 43 +21 44 44 +20 46 46 +20 47 47 +20 48 48 +20 49 49 +20 50 50 +19 52 52 +19 53 53 +19 54 54 +18 55 55 +18 56 56 +18 57 57 +17 58 58 +17 59 59 +17 60 60 +16 61 61 +16 62 62 +16 63 63 +15 64 64 +15 65 65 +14 66 66 +14 67 67 +13 68 68 +13 69 69 +12 70 70 +12 71 71 +11 72 72 +11 72 72 +10 73 73 +10 74 74 +9 75 75 +9 75 75 +8 76 76 +8 76 76 +7 77 77 +7 78 78 +6 78 78 +6 79 79 +5 79 79 +5 79 79 +4 80 80 +4 80 80 +4 80 80 +3 81 81 +3 81 81 +2 81 81 +2 81 81 +2 81 81 +1 81 81 +1 81 81 +1 81 81 +1 81 81 +0 81 81 +0 81 81 +0 81 81 +0 81 81 +0 81 81 +0 80 80 +0 80 80 +0 80 80 +0 79 79 +0 79 79 +0 79 79 +0 78 78 +0 77 77 +0 77 77 +0 76 76 +0 76 76 +1 75 75 +1 74 74 +1 74 74 +2 73 73 +2 72 72 +3 71 71 +3 70 70 +4 69 69 +4 69 69 +5 68 68 +6 67 67 +6 66 66 +7 65 65 +8 64 64 +9 62 62 +10 61 61 +11 60 60 +12 59 59 +13 58 58 +14 57 57 +15 55 55 +16 54 54 +18 53 53 +19 52 52 +20 50 50 +22 49 49 +23 48 48 +25 47 47 +26 45 45 +28 44 44 +29 43 43 +31 41 41 +33 40 40 +34 39 39 +36 37 37 +38 36 36 +40 35 35 +42 33 33 +44 32 32 +46 31 31 +48 29 29 +50 28 28 +52 27 27 +54 25 25 +57 24 24 +59 23 23 +61 22 22 +63 20 20 +66 19 19 +68 18 18 +71 17 17 +73 16 16 +75 15 15 +78 14 14 +81 13 13 +83 12 12 +86 11 11 +88 10 10 +91 9 9 +94 8 8 +96 7 7 +99 6 6 +102 5 5 +104 5 5 +107 4 4 +110 3 3 +113 3 3 +115 2 2 +118 2 2 +121 1 1 +124 1 1 +127 1 1 +129 0 0 +132 0 0 +135 0 0 +138 0 0 +141 0 0 +143 0 0 +146 0 0 +149 0 0 +152 0 0 +155 0 0 +157 0 0 +160 1 1 +163 1 1 +165 1 1 +168 2 2 +171 3 3 +173 3 3 +176 4 4 +179 5 5 +181 6 6 +184 6 6 +186 7 7 +188 8 8 +191 10 10 +193 11 11 +196 12 12 +198 13 13 +200 15 15 +202 16 16 +204 18 18 +206 19 19 +209 21 21 +211 23 23 +212 24 24 +214 26 26 +216 28 28 +218 30 30 +220 32 32 +221 34 34 +223 37 37 +224 39 39 +226 41 41 +227 44 44 +229 46 46 +230 48 48 +231 51 51 +232 54 54 +233 56 56 +234 59 59 +235 62 62 +236 65 65 +237 68 68 +238 71 71 +238 74 74 +239 77 77 +240 80 80 +240 83 83 +240 86 86 +241 89 89 +241 93 93 +241 96 96 +241 99 99 +241 103 103 +241 106 106 +241 110 110 +240 113 113 +240 117 117 diff --git a/ncl_colormaps_in_mpl/hlu_default.rgb b/ncl_colormaps_in_mpl/hlu_default.rgb new file mode 100644 index 0000000..dd1732e --- /dev/null +++ b/ncl_colormaps_in_mpl/hlu_default.rgb @@ -0,0 +1,36 @@ +# this is the default hlu colormap +ncolors = 30 + +# r g b + -1.0 0.0 0.0 /* white/black */ + -1.0 0.0 0.0 /* white/black */ + 1.0 0.0 0.0 /* red */ + 0.0 1.0 0.0 /* green */ + 0.0 0.0 1.0 /* blue */ + 1.0 1.0 0.0 /* yellow */ + 0.0 1.0 1.0 /* cyan */ + 1.0 0.0 1.0 /* magenta */ + 0.5 0.0 0.0 + 0.5 1.0 1.0 + 0.0 0.0 0.5 + 1.0 1.0 0.5 + 0.5 0.0 1.0 + 1.0 0.5 0.0 + 0.0 0.5 1.0 + 0.5 1.0 0.0 + 0.5 0.0 0.5 + 0.5 1.0 0.5 + 1.0 0.5 1.0 + 0.0 0.5 0.0 + 0.5 0.5 1.0 + 1.0 0.0 0.5 + 0.5 0.5 0.0 + 0.0 0.5 0.5 + 1.0 0.5 0.5 + 0.0 1.0 0.5 + 0.5 0.5 0.5 + 0.125 0.125 0.125 + 0.75 0.75 0.75 + 0.25 0.25 0.25 + 0.625 0.625 0.625 + 0.375 0.375 0.375 diff --git a/ncl_colormaps_in_mpl/hotcold_18lev.rgb b/ncl_colormaps_in_mpl/hotcold_18lev.rgb new file mode 100644 index 0000000..e6c192c --- /dev/null +++ b/ncl_colormaps_in_mpl/hotcold_18lev.rgb @@ -0,0 +1,25 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 19 + +# r g b + 24 24 112 + 16 78 139 + 23 116 205 + 72 118 255 + 91 172 237 + 173 215 230 + 209 237 237 + 229 239 249 + 242 255 255 + 255 255 255 + 253 245 230 + 255 228 180 + 243 164 96 + 237 118 0 + 205 102 29 + 224 49 15 + 237 0 0 + 205 0 0 + 139 0 0 diff --git a/ncl_colormaps_in_mpl/hotcolr_19lev.rgb b/ncl_colormaps_in_mpl/hotcolr_19lev.rgb new file mode 100644 index 0000000..010adde --- /dev/null +++ b/ncl_colormaps_in_mpl/hotcolr_19lev.rgb @@ -0,0 +1,26 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 20 + +# r g b + 0 0 50 + 24 24 112 + 16 78 139 + 23 116 205 + 72 118 255 + 91 172 237 + 173 215 230 + 209 237 237 + 229 239 249 + 242 255 255 + 253 245 230 + 255 228 180 + 243 164 96 + 237 118 0 + 205 102 29 + 224 49 15 + 237 0 0 + 205 0 0 + 139 0 0 + 50 0 0 diff --git a/ncl_colormaps_in_mpl/hotres.rgb b/ncl_colormaps_in_mpl/hotres.rgb new file mode 100644 index 0000000..4c053fe --- /dev/null +++ b/ncl_colormaps_in_mpl/hotres.rgb @@ -0,0 +1,256 @@ +ncolors = 254 +# r g b +1 5 70 +8 25 100 +15 53 130 +23 68 160 +31 83 190 +39 98 220 +47 112 250 +55 127 253 +62 140 250 +69 153 244 +75 164 235 +82 174 224 +88 184 212 +95 193 199 +101 201 186 +107 208 173 +112 215 160 +118 221 147 +123 226 135 +128 231 123 +134 235 112 +139 239 102 +143 242 93 +148 245 84 +153 247 76 +157 249 69 +161 250 62 +165 251 56 +169 252 50 +173 253 45 +177 253 40 +181 253 36 +184 252 32 +188 252 29 +191 251 25 +194 250 23 +197 248 20 +200 247 18 +203 245 16 +206 243 14 +208 241 12 +211 239 11 +213 237 10 +216 235 9 +218 232 8 +220 230 7 +222 227 6 +224 225 5 +226 222 4 +228 219 4 +230 216 3 +232 213 3 +233 210 3 +235 207 2 +236 204 2 +238 201 2 +239 198 1 +240 195 1 +241 192 1 +242 189 1 +243 186 1 +244 183 0 +245 180 0 +246 177 0 +247 173 0 +248 170 0 +248 167 0 +249 164 0 +250 161 0 +250 158 0 +251 155 0 +251 152 0 +251 149 0 +252 147 0 +252 144 0 +252 141 0 +252 138 0 +253 135 0 +253 132 0 +253 130 0 +253 127 0 +253 124 0 +253 122 0 +253 119 0 +252 117 0 +252 114 0 +252 112 0 +252 109 0 +252 107 0 +251 105 0 +251 102 0 +251 100 0 +250 98 0 +250 96 0 +249 93 0 +249 91 0 +248 89 0 +248 87 0 +247 85 0 +247 83 0 +246 81 0 +245 79 0 +245 78 0 +244 76 0 +243 74 0 +243 72 0 +242 71 0 +241 69 0 +240 67 0 +240 66 0 +239 64 0 +238 62 0 +237 61 0 +236 59 0 +235 58 0 +235 57 0 +234 55 0 +233 54 0 +232 53 0 +231 51 0 +230 50 0 +229 49 0 +228 47 0 +227 46 0 +226 45 0 +225 44 0 +224 43 0 +223 42 0 +222 41 0 +221 40 0 +220 39 0 +219 38 0 +218 37 0 +217 36 0 +216 35 0 +214 34 0 +213 33 0 +212 32 0 +211 31 0 +210 31 0 +209 30 0 +208 29 0 +207 28 0 +205 27 0 +204 27 0 +203 26 0 +202 25 0 +201 25 0 +200 24 0 +199 23 0 +197 23 0 +196 22 0 +195 21 0 +194 21 0 +193 20 0 +192 20 0 +191 19 0 +189 19 0 +188 18 0 +187 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/dev/null +++ b/ncl_colormaps_in_mpl/lithology.rgb @@ -0,0 +1,215 @@ +ncolors= 213 +# r g b +253 244 63 +255 255 137 +255 211 69 +255 203 35 +255 255 213 +236 180 0 +255 250 233 +255 250 200 +255 255 183 +250 238 122 +244 239 228 +241 229 223 +228 208 190 +228 216 190 +255 246 217 +224 197 158 +224 210 180 +219 204 169 +245 225 189 +224 176 158 +207 187 143 +225 227 195 +229 219 179 +220 213 180 +211 202 159 +201 190 137 +188 175 108 +191 167 67 +210 194 124 +255 238 191 +255 229 157 +255 223 133 +254 230 112 +254 226 88 +254 219 46 +247 243 161 +255 207 129 +255 204 153 +255 227 137 +255 219 103 +146 220 183 +217 253 211 +207 239 223 +213 230 204 +192 208 192 +172 228 200 +219 254 188 +187 255 221 +225 240 216 +214 254 154 +149 255 202 +205 255 217 +166 252 170 +203 239 206 +154 206 254 +105 207 156 +189 219 241 +184 234 195 +144 165 101 +183 217 204 +167 186 134 +165 170 173 +141 190 205 +187 192 197 + 86 224 252 + 67 175 249 +107 195 255 + 56 180 177 + 96 204 191 +191 227 220 +205 222 255 + 1 156 205 +154 191 192 +192 174 182 +185 149 152 +217 194 163 +130 0 65 +110 73 9 +255 183 222 +255 195 228 +255 209 234 +255 195 248 +255 229 243 +255 224 222 +249 211 211 +255 243 201 +255 239 217 +255 229 195 +255 213 157 +255 162 39 +255 193 111 +244 139 0 +254 220 126 +254 204 104 +254 198 42 +254 205 172 +254 183 134 +254 160 96 +254 135 54 +254 117 24 +235 96 1 +201 82 1 +177 72 1 +147 60 1 +236 213 198 +221 179 151 +211 157 121 +198 128 80 +169 101 55 +194 65 0 + 95 57 31 +133 79 43 +160 53 0 +110 37 0 +252 110 124 +255 193 183 +255 225 232 +228 88 145 +255 239 243 +221 41 114 +255 209 220 +255 129 159 +255 169 157 +232 28 0 +255 51 23 +214 0 0 +249 181 187 +248 190 174 +255 179 197 +255 111 107 +252 82 98 +233 121 166 +252 182 182 +255 167 188 +244 60 108 +251 35 56 +244 26 135 +255 99 136 +255 39 90 +172 0 0 +255 111 91 +227 119 173 +237 167 202 +233 147 190 +255 214 209 +255 191 206 +255 149 174 +255 111 145 +255 27 81 +232 0 55 +206 0 49 +176 0 42 +193 1 10 +148 0 35 +163 1 9 +117 1 7 +167 167 255 +234 175 255 +206 157 255 +164 73 255 +129 3 255 + 70 0 140 + 0 92 0 +125 255 125 +201 255 201 +230 205 255 +159 255 159 +233 255 233 + 0 0 255 +255 87 255 +255 141 255 +255 167 255 +254 103 0 +255 0 0 +185 59 104 +135 43 76 +201 85 126 + 0 128 0 +180 207 228 +219 219 231 +237 237 243 +192 192 192 +177 177 177 +202 202 220 +162 162 192 +182 182 206 +150 150 150 +163 55 253 +236 214 254 +224 188 254 +213 164 254 +200 134 254 +204 183 255 +179 149 255 +144 99 255 +159 0 202 +123 0 156 +106 0 106 +132 97 62 +208 203 176 +176 167 120 +136 127 80 +172 127 80 +109 80 51 +100 2 11 +136 127 80 +255 255 255 +153 204 255 +255 213 157 +255 209 220 +133 79 43 +107 195 255 +160 53 0 diff --git a/ncl_colormaps_in_mpl/matlab_hot.rgb b/ncl_colormaps_in_mpl/matlab_hot.rgb new file mode 100644 index 0000000..bd992cf --- /dev/null +++ b/ncl_colormaps_in_mpl/matlab_hot.rgb @@ -0,0 +1,66 @@ +ncolors = 64 +# r g b + 10 0 0 + 21 0 0 + 31 0 0 + 42 0 0 + 53 0 0 + 63 0 0 + 74 0 0 + 84 0 0 + 95 0 0 +106 0 0 +116 0 0 +127 0 0 +138 0 0 +148 0 0 +159 0 0 +170 0 0 +180 0 0 +191 0 0 +201 0 0 +212 0 0 +223 0 0 +233 0 0 +244 0 0 +255 0 0 +255 10 0 +255 21 0 +255 31 0 +255 42 0 +255 53 0 +255 63 0 +255 74 0 +255 84 0 +255 95 0 +255 106 0 +255 116 0 +255 127 0 +255 138 0 +255 148 0 +255 159 0 +255 170 0 +255 180 0 +255 191 0 +255 201 0 +255 212 0 +255 223 0 +255 233 0 +255 244 0 +255 255 0 +255 255 15 +255 255 31 +255 255 47 +255 255 63 +255 255 79 +255 255 95 +255 255 111 +255 255 127 +255 255 143 +255 255 159 +255 255 175 +255 255 191 +255 255 207 +255 255 223 +255 255 239 +255 255 255 diff --git a/ncl_colormaps_in_mpl/matlab_hsv.rgb b/ncl_colormaps_in_mpl/matlab_hsv.rgb new file mode 100644 index 0000000..2462315 --- /dev/null +++ b/ncl_colormaps_in_mpl/matlab_hsv.rgb @@ -0,0 +1,66 @@ +ncolors = 64 +# r g b +255 0 0 +255 23 0 +255 47 0 +255 71 0 +255 95 0 +255 119 0 +255 143 0 +255 167 0 +255 191 0 +255 215 0 +255 239 0 +247 255 0 +223 255 0 +199 255 0 +175 255 0 +151 255 0 +127 255 0 +103 255 0 + 79 255 0 + 55 255 0 + 31 255 0 + 7 255 0 + 0 255 15 + 0 255 39 + 0 255 63 + 0 255 87 + 0 255 111 + 0 255 135 + 0 255 159 + 0 255 183 + 0 255 207 + 0 255 231 + 0 255 255 + 0 231 255 + 0 207 255 + 0 183 255 + 0 159 255 + 0 135 255 + 0 111 255 + 0 87 255 + 0 63 255 + 0 39 255 + 0 15 255 + 7 0 255 + 31 0 255 + 55 0 255 + 79 0 255 +103 0 255 +127 0 255 +151 0 255 +175 0 255 +199 0 255 +223 0 255 +247 0 255 +255 0 239 +255 0 215 +255 0 191 +255 0 167 +255 0 143 +255 0 119 +255 0 95 +255 0 71 +255 0 47 +255 0 23 diff --git a/ncl_colormaps_in_mpl/matlab_jet.rgb b/ncl_colormaps_in_mpl/matlab_jet.rgb new file mode 100644 index 0000000..ae1c6ca --- /dev/null +++ b/ncl_colormaps_in_mpl/matlab_jet.rgb @@ -0,0 +1,66 @@ +ncolors = 64 +# r g b + 0 0 143 + 0 0 159 + 0 0 175 + 0 0 191 + 0 0 207 + 0 0 223 + 0 0 239 + 0 0 255 + 0 15 255 + 0 31 255 + 0 47 255 + 0 63 255 + 0 79 255 + 0 95 255 + 0 111 255 + 0 127 255 + 0 143 255 + 0 159 255 + 0 175 255 + 0 191 255 + 0 207 255 + 0 223 255 + 0 239 255 + 0 255 255 + 15 255 239 + 31 255 223 + 47 255 207 + 63 255 191 + 79 255 175 + 95 255 159 +111 255 143 +127 255 127 +143 255 111 +159 255 95 +175 255 79 +191 255 63 +207 255 47 +223 255 31 +239 255 15 +255 255 0 +255 239 0 +255 223 0 +255 207 0 +255 191 0 +255 175 0 +255 159 0 +255 143 0 +255 127 0 +255 111 0 +255 95 0 +255 79 0 +255 63 0 +255 47 0 +255 31 0 +255 15 0 +255 0 0 +239 0 0 +223 0 0 +207 0 0 +191 0 0 +175 0 0 +159 0 0 +143 0 0 +127 0 0 diff --git a/ncl_colormaps_in_mpl/matlab_lines.rgb b/ncl_colormaps_in_mpl/matlab_lines.rgb new file mode 100644 index 0000000..83687d1 --- /dev/null +++ b/ncl_colormaps_in_mpl/matlab_lines.rgb @@ -0,0 +1,66 @@ +ncolors = 64 +# r g b + 0 0 255 + 0 127 0 +255 0 0 + 0 191 191 +191 0 191 +191 191 0 + 63 63 63 + 0 0 255 + 0 127 0 +255 0 0 + 0 191 191 +191 0 191 +191 191 0 + 63 63 63 + 0 0 255 + 0 127 0 +255 0 0 + 0 191 191 +191 0 191 +191 191 0 + 63 63 63 + 0 0 255 + 0 127 0 +255 0 0 + 0 191 191 +191 0 191 +191 191 0 + 63 63 63 + 0 0 255 + 0 127 0 +255 0 0 + 0 191 191 +191 0 191 +191 191 0 + 63 63 63 + 0 0 255 + 0 127 0 +255 0 0 + 0 191 191 +191 0 191 +191 191 0 + 63 63 63 + 0 0 255 + 0 127 0 +255 0 0 + 0 191 191 +191 0 191 +191 191 0 + 63 63 63 + 0 0 255 + 0 127 0 +255 0 0 + 0 191 191 +191 0 191 +191 191 0 + 63 63 63 + 0 0 255 + 0 127 0 +255 0 0 + 0 191 191 +191 0 191 +191 191 0 + 63 63 63 + 0 0 255 diff --git a/ncl_colormaps_in_mpl/mch_default.rgb b/ncl_colormaps_in_mpl/mch_default.rgb new file mode 100644 index 0000000..e82f031 --- /dev/null +++ b/ncl_colormaps_in_mpl/mch_default.rgb @@ -0,0 +1,21 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 15 + +# r g b + 255 255 255 + 0 0 0 + 32 32 32 + 64 64 64 + 96 96 96 + 128 128 128 + 160 160 160 + 192 192 192 + 224 224 224 + 255 0 0 + 0 255 0 + 0 0 255 + 255 255 0 + 0 255 255 + 255 0 255 diff --git a/ncl_colormaps_in_mpl/ncl_default.rgb b/ncl_colormaps_in_mpl/ncl_default.rgb new file mode 100644 index 0000000..8e1944d --- /dev/null +++ b/ncl_colormaps_in_mpl/ncl_default.rgb @@ -0,0 +1,257 @@ +# This is the default NCL color table +ncolor = 254 +# r g b + 0.505882 0.121569 0.941176 + 0.486275 0.117647 0.941176 + 0.466667 0.113725 0.945098 + 0.447059 0.105882 0.949020 + 0.423529 0.101961 0.949020 + 0.403922 0.094118 0.952941 + 0.380392 0.090196 0.956863 + 0.356863 0.082353 0.960784 + 0.337255 0.078431 0.960784 + 0.313726 0.070588 0.964706 + 0.286275 0.066667 0.968627 + 0.262745 0.058824 0.968627 + 0.239216 0.054902 0.972549 + 0.215686 0.047059 0.976471 + 0.188235 0.043137 0.980392 + 0.164706 0.035294 0.980392 + 0.137255 0.027451 0.984314 + 0.109804 0.023529 0.988235 + 0.082353 0.015686 0.988235 + 0.054902 0.011765 0.992157 + 0.027451 0.003922 0.996078 + 0.000000 0.000000 1.000000 + 0.011765 0.023529 0.992157 + 0.023529 0.047059 0.988235 + 0.039216 0.070588 0.980392 + 0.050980 0.094118 0.976471 + 0.066667 0.117647 0.968627 + 0.078431 0.141176 0.964706 + 0.090196 0.164706 0.960784 + 0.101961 0.184314 0.952941 + 0.113725 0.203922 0.949020 + 0.129412 0.223529 0.941176 + 0.141176 0.243137 0.937255 + 0.152941 0.262745 0.929412 + 0.164706 0.282353 0.925490 + 0.176471 0.298039 0.921569 + 0.188235 0.317647 0.913725 + 0.200000 0.333333 0.909804 + 0.207843 0.349020 0.901961 + 0.219608 0.364706 0.898039 + 0.231373 0.380392 0.890196 + 0.243137 0.396078 0.886275 + 0.254902 0.411765 0.882353 + 0.247059 0.415686 0.886275 + 0.243137 0.419608 0.890196 + 0.235294 0.423529 0.898039 + 0.231373 0.431373 0.901961 + 0.223529 0.435294 0.909804 + 0.219608 0.443137 0.913725 + 0.211765 0.450980 0.921569 + 0.203922 0.454902 0.925490 + 0.200000 0.462745 0.929412 + 0.192157 0.470588 0.937255 + 0.184314 0.478431 0.941176 + 0.180392 0.482353 0.949020 + 0.172549 0.490196 0.952941 + 0.164706 0.498039 0.960784 + 0.160784 0.509804 0.964706 + 0.152941 0.517647 0.968627 + 0.145098 0.525490 0.976471 + 0.137255 0.533333 0.980392 + 0.129412 0.545098 0.988235 + 0.121569 0.552941 0.992157 + 0.113725 0.564706 1.000000 + 0.109804 0.568627 1.000000 + 0.105882 0.576471 1.000000 + 0.098039 0.584314 1.000000 + 0.094118 0.592157 1.000000 + 0.086275 0.600000 1.000000 + 0.082353 0.607843 1.000000 + 0.074510 0.619608 1.000000 + 0.070588 0.627451 1.000000 + 0.066667 0.635294 1.000000 + 0.058824 0.643137 1.000000 + 0.054902 0.650980 1.000000 + 0.047059 0.662745 1.000000 + 0.043137 0.670588 1.000000 + 0.035294 0.678431 1.000000 + 0.031373 0.690196 1.000000 + 0.027451 0.698039 1.000000 + 0.019608 0.705882 1.000000 + 0.015686 0.717647 1.000000 + 0.007843 0.725490 1.000000 + 0.003922 0.737255 1.000000 + 0.000000 0.749020 1.000000 + 0.027451 0.749020 0.996078 + 0.054902 0.749020 0.992157 + 0.082353 0.749020 0.988235 + 0.109804 0.749020 0.984314 + 0.137255 0.752941 0.984314 + 0.160784 0.752941 0.980392 + 0.188235 0.756863 0.976471 + 0.215686 0.756863 0.972549 + 0.243137 0.760784 0.972549 + 0.270588 0.760784 0.968627 + 0.294118 0.764706 0.964706 + 0.321569 0.768627 0.960784 + 0.345098 0.768627 0.960784 + 0.372549 0.772549 0.956863 + 0.396078 0.776471 0.952941 + 0.423529 0.780392 0.949020 + 0.447059 0.784314 0.949020 + 0.474510 0.788235 0.945098 + 0.498039 0.792157 0.941176 + 0.521569 0.796078 0.937255 + 0.549020 0.803922 0.937255 + 0.560784 0.807843 0.937255 + 0.572549 0.815686 0.937255 + 0.584314 0.819608 0.941176 + 0.596078 0.827451 0.941176 + 0.607843 0.831373 0.945098 + 0.619608 0.839216 0.945098 + 0.631373 0.843137 0.949020 + 0.643137 0.850980 0.949020 + 0.658824 0.854902 0.952941 + 0.670588 0.862745 0.952941 + 0.682353 0.866667 0.956863 + 0.694118 0.870588 0.956863 + 0.705882 0.878431 0.960784 + 0.721569 0.882353 0.960784 + 0.733333 0.890196 0.964706 + 0.745098 0.894118 0.964706 + 0.756863 0.901961 0.968627 + 0.772549 0.905882 0.968627 + 0.784314 0.913725 0.972549 + 0.796078 0.917647 0.972549 + 0.811765 0.925490 0.976471 + 1.000000 1.000000 0.784314 + 1.000000 0.996078 0.752941 + 1.000000 0.996078 0.725490 + 1.000000 0.992157 0.698039 + 1.000000 0.988235 0.670588 + 1.000000 0.984314 0.643137 + 1.000000 0.980392 0.615686 + 1.000000 0.976471 0.584314 + 1.000000 0.972549 0.556863 + 1.000000 0.968627 0.529412 + 1.000000 0.964706 0.501961 + 1.000000 0.956863 0.474510 + 1.000000 0.952941 0.447059 + 1.000000 0.945098 0.419608 + 1.000000 0.937255 0.388235 + 1.000000 0.933333 0.360784 + 1.000000 0.925490 0.333333 + 1.000000 0.917647 0.305882 + 1.000000 0.905882 0.278431 + 1.000000 0.898039 0.250980 + 1.000000 0.890196 0.223529 + 1.000000 0.882353 0.192157 + 1.000000 0.870588 0.184314 + 1.000000 0.862745 0.176471 + 1.000000 0.854902 0.164706 + 1.000000 0.843137 0.156863 + 1.000000 0.835294 0.149020 + 1.000000 0.827451 0.137255 + 1.000000 0.815686 0.129412 + 1.000000 0.807843 0.117647 + 1.000000 0.796078 0.109804 + 1.000000 0.788235 0.101961 + 1.000000 0.776471 0.090196 + 1.000000 0.764706 0.082353 + 1.000000 0.756863 0.074510 + 1.000000 0.745098 0.062745 + 1.000000 0.733333 0.054902 + 1.000000 0.721569 0.043137 + 1.000000 0.709804 0.035294 + 1.000000 0.701961 0.027451 + 1.000000 0.690196 0.015686 + 1.000000 0.678431 0.007843 + 1.000000 0.666667 0.000000 + 1.000000 0.654902 0.000000 + 1.000000 0.643137 0.000000 + 1.000000 0.631373 0.000000 + 1.000000 0.619608 0.000000 + 1.000000 0.607843 0.000000 + 1.000000 0.596078 0.000000 + 1.000000 0.584314 0.000000 + 1.000000 0.576471 0.000000 + 1.000000 0.564706 0.000000 + 1.000000 0.552941 0.000000 + 1.000000 0.541176 0.000000 + 1.000000 0.529412 0.000000 + 1.000000 0.517647 0.000000 + 1.000000 0.505882 0.000000 + 1.000000 0.498039 0.000000 + 1.000000 0.486275 0.000000 + 1.000000 0.474510 0.000000 + 1.000000 0.462745 0.000000 + 1.000000 0.450980 0.000000 + 1.000000 0.439216 0.000000 + 1.000000 0.431373 0.000000 + 1.000000 0.407843 0.000000 + 1.000000 0.388235 0.000000 + 1.000000 0.368627 0.000000 + 1.000000 0.349020 0.000000 + 1.000000 0.325490 0.000000 + 1.000000 0.305882 0.000000 + 1.000000 0.286275 0.000000 + 1.000000 0.266667 0.000000 + 1.000000 0.243137 0.000000 + 1.000000 0.223529 0.000000 + 1.000000 0.203922 0.000000 + 1.000000 0.184314 0.000000 + 1.000000 0.160784 0.000000 + 1.000000 0.141176 0.000000 + 1.000000 0.121569 0.000000 + 1.000000 0.101961 0.000000 + 1.000000 0.078431 0.000000 + 1.000000 0.058824 0.000000 + 1.000000 0.039216 0.000000 + 1.000000 0.019608 0.000000 + 1.000000 0.000000 0.000000 + 0.988235 0.000000 0.000000 + 0.976471 0.000000 0.000000 + 0.968627 0.000000 0.000000 + 0.956863 0.000000 0.000000 + 0.945098 0.000000 0.000000 + 0.937255 0.000000 0.000000 + 0.925490 0.000000 0.000000 + 0.917647 0.000000 0.000000 + 0.905882 0.000000 0.000000 + 0.894118 0.000000 0.000000 + 0.886275 0.000000 0.000000 + 0.874510 0.000000 0.000000 + 0.862745 0.000000 0.000000 + 0.854902 0.000000 0.000000 + 0.843137 0.000000 0.000000 + 0.835294 0.000000 0.000000 + 0.823529 0.000000 0.000000 + 0.811765 0.000000 0.000000 + 0.803922 0.000000 0.000000 + 0.792157 0.000000 0.000000 + 0.784314 0.000000 0.000000 + 0.792157 0.023529 0.023529 + 0.803922 0.050980 0.050980 + 0.811765 0.078431 0.078431 + 0.823529 0.105882 0.105882 + 0.835294 0.137255 0.137255 + 0.843137 0.168627 0.168627 + 0.854902 0.196078 0.196078 + 0.862745 0.227451 0.227451 + 0.874510 0.258824 0.258824 + 0.886275 0.294118 0.294118 + 0.894118 0.325490 0.325490 + 0.905882 0.360784 0.360784 + 0.917647 0.396078 0.396078 + 0.925490 0.431373 0.431373 + 0.937255 0.466667 0.466667 + 0.945098 0.501961 0.501961 + 0.956863 0.541176 0.541176 + 0.968627 0.576471 0.576471 + 0.976471 0.615686 0.615686 + 0.988235 0.654902 0.654902 + 1.000000 0.698039 0.698039 diff --git a/ncl_colormaps_in_mpl/ncl_into_mpl.ipynb b/ncl_colormaps_in_mpl/ncl_into_mpl.ipynb new file mode 100644 index 0000000..ddc78af --- /dev/null +++ b/ncl_colormaps_in_mpl/ncl_into_mpl.ipynb @@ -0,0 +1,742 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Conversion of NCL colormaps for use in Matplotlib.\n", + "\n", + "Example urls: \n", + "https://www.ncl.ucar.edu/Document/Graphics/ColorTables/Files/amwg256.rgb" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib as mpl\n", + "from urllib.parse import urlparse\n", + "from urllib.request import urlretrieve\n", + "from pathlib import Path\n", + "import re\n", + "\n", + "ncl_names = ['amwg256',\n", + "'BkBlAqGrYeOrReViWh200',\n", + "'BlAqGrYeOrRe',\n", + "'BlAqGrYeOrReVi200',\n", + "'BlGrYeOrReVi200',\n", + "'example',\n", + "'GMT_seis',\n", + "'GMT_wysiwygcont',\n", + "'matlab_hsv',\n", + "'matlab_jet',\n", + "'MPL_gist_ncar',\n", + "'MPL_gist_rainbow',\n", + "'MPL_hsv',\n", + "'MPL_jet',\n", + "'MPL_rainbow',\n", + "'MPL_Spectral',\n", + "'NCV_bright',\n", + "'NCV_jaisnd',\n", + "'NCV_jet',\n", + "'NCV_rainbow2',\n", + "'ncview_default',\n", + "'nice_gfdl',\n", + "'rainbow',\n", + "'rainbow+gray',\n", + "'rainbow+white',\n", + "'rainbow+white+gray',\n", + "'tbr_240-300',\n", + "'tbr_stdev_0-30',\n", + "'tbr_var_0-500',\n", + "'tbrAvg1',\n", + "'tbrStd1',\n", + "'tbrVar1',\n", + "'temp1',\n", + "'testcmap',\n", + "'ViBlGrWhYeOrRe',\n", + "'wh-bl-gr-ye-re',\n", + "'WhBlGrYeRe',\n", + "'WhiteBlueGreenYellowRed',\n", + "'WhViBlGrYeOrRe',\n", + "'WhViBlGrYeOrReWh',\n", + "# start \"small rainbow\"\n", + "'amwg',\n", + "'BlAqGrWh2YeOrReVi22',\n", + "'cosam',\n", + "'cosam12',\n", + "'cyclic',\n", + "'GHRSST_anomaly',\n", + "'GMT_wysiwyg',\n", + "'grads_rainbow',\n", + "'gui_default',\n", + "'prcp_1',\n", + "'prcp_2',\n", + "'prcp_3',\n", + "'radar',\n", + "'radar_1',\n", + "'seaice_1',\n", + "'seaice_2',\n", + "'so4_21',\n", + "'so4_23',\n", + "'wgne15',\n", + "# Earth/Ocean\n", + "'cmocean_deep',\n", + "'cmp_haxby',\n", + "'GMT_drywet',\n", + "'GMT_globe',\n", + "'GMT_haxby',\n", + "'GMT_nighttime',\n", + "'GMT_ocean',\n", + "'GMT_relief',\n", + "'GMT_relief_oceanonly',\n", + "'GMT_topo',\n", + "'MPL_BrBG',\n", + "'MPL_gist_earth',\n", + "'MPL_ocean',\n", + "'MPL_terrain',\n", + "'NCV_gebco',\n", + "'OceanLakeLandSnow',\n", + "'topo_15lev',\n", + "#Oceanography \n", + "'cmocean_algae',\n", + "'cmocean_amp',\n", + "'cmocean_balance',\n", + "'cmocean_curl',\n", + "'cmocean_deep',\n", + "'cmocean_delta',\n", + "'cmocean_dense',\n", + "'cmocean_gray',\n", + "'cmocean_haline',\n", + "'cmocean_ice',\n", + "'cmocean_matter',\n", + "'cmocean_oxy',\n", + "'cmocean_phase',\n", + "'cmocean_solar',\n", + "'cmocean_speed',\n", + "'cmocean_tempo',\n", + "'cmocean_thermal',\n", + "'cmocean_turbid',\n", + "# color blindness color tables\n", + "'BlueDarkOrange18',\n", + "'BlueDarkRed18',\n", + "'BlueGreen14',\n", + "'BrownBlue12',\n", + "'Cat12',\n", + "'cb_9step',\n", + "'cb_rainbow',\n", + "'cb_rainbow_inv',\n", + "'CBR_coldhot',\n", + "'CBR_drywet',\n", + "'CBR_wet',\n", + "# 'cividis', <-- already mpl name\n", + "'GreenMagenta16',\n", + "'posneg_1',\n", + "'posneg_2',\n", + "'srip_reanalysis',\n", + "'StepSeq25',\n", + "# MeteoSwiss \n", + "'hotcold_18lev',\n", + "'hotcolr_19lev',\n", + "'mch_default',\n", + "'perc2_9lev',\n", + "'percent_11lev',\n", + "'precip2_15lev',\n", + "'precip2_17lev',\n", + "'precip3_16lev',\n", + "'precip4_11lev',\n", + "'precip4_diff_19lev',\n", + "'precip_11lev',\n", + "'precip_diff_12lev',\n", + "'precip_diff_1lev',\n", + "'rh_19lev',\n", + "'spread_15lev',\n", + "'sunshine_9lev',\n", + "'sunshine_diff_12lev',\n", + "'t2m_29lev',\n", + "'temp_19lev',\n", + "'temp_diff_18lev',\n", + "'temp_diff_1lev',\n", + "'topo_15lev',\n", + "'wind_17lev',\n", + "#Blue/Red color tables --> definitely repeats ... set() this after\n", + "'BlRe',\n", + "'BlueDarkRed18',\n", + "'BlueRed',\n", + "'BlueRedGray',\n", + "'BlWhRe',\n", + "'CBR_coldhot',\n", + "'cmocean_balance',\n", + "'cmp_b2r',\n", + "'GMT_polar',\n", + "'GMT_split',\n", + "'hotcold_18lev',\n", + "'hotcolr_19lev',\n", + "'hotres',\n", + "'MPL_bwr',\n", + "'MPL_coolwarm',\n", + "'MPL_RdBu',\n", + "'MPL_seismic',\n", + "'NCV_blu_red',\n", + "'NCV_blue_red',\n", + "'posneg_1',\n", + "'posneg_2',\n", + "'temp_19lev',\n", + "'temp_diff_18lev',\n", + "'temp_diff_1lev',\n", + "'WhBlReWh',\n", + "# Blue/Green color tables\n", + "'BlueGreen14',\n", + "'CBR_wet',\n", + "'cmocean_deep',\n", + "'cmocean_haline',\n", + "'GMT_gebco',\n", + "'GMT_ocean',\n", + "'GMT_relief_oceanonly',\n", + "'GSFC_landsat_udf_density',\n", + "'MPL_BuGn',\n", + "'MPL_GnBu',\n", + "'MPL_ocean',\n", + "'MPL_PuBuGn',\n", + "'MPL_viridis',\n", + "'MPL_winter',\n", + "'MPL_YlGnBu',\n", + "# Red/Orange color tables\n", + "'cmocean_matter',\n", + "'GMT_hot',\n", + "'hotres',\n", + "'matlab_hot',\n", + "'MPL_afmhot',\n", + "'MPL_autumn',\n", + "'MPL_gist_heat',\n", + "'MPL_hot',\n", + "'MPL_Oranges',\n", + "'MPL_OrRd',\n", + "'MPL_Reds',\n", + "'MPL_YlOrBr',\n", + "'MPL_YlOrRd',\n", + "'sunshine_9lev',\n", + "'WhiteYellowOrangeRed',\n", + "#Red/Green color tables\n", + "'cmocean_curl',\n", + "'drought_severity',\n", + "'GMT_red2green',\n", + "'helix1',\n", + "'MPL_RdYlGn',\n", + "'SVG_fs2006',\n", + "# Green/Yellow color tables\n", + "'cmocean_speed',\n", + "'GreenYellow',\n", + "'MPL_summer',\n", + "'MPL_YlGn',\n", + "# Red/Purple color tables\n", + "'cmocean_matter',\n", + "'MPL_gnuplot',\n", + "'MPL_PuRd',\n", + "'MPL_RdPu',\n", + "'sunshine_diff_12lev',\n", + "#Blue/Purple color tables\n", + "'cmocean_dense',\n", + "'GMT_cool',\n", + "'MPL_cool',\n", + "# Green/Purple color tables\n", + "'GreenMagenta16',\n", + "'MPL_PRGn',\n", + "# Brown/Copper color tables\n", + "'BlueDarkOrange18',\n", + "'BrownBlue12',\n", + "'CBR_drywet',\n", + "'cmocean_turbid',\n", + "'GMT_copper',\n", + "'MPL_BrBG',\n", + "'MPL_copper',\n", + "'MPL_pink',\n", + "'MPL_s3pcpn',\n", + "'OceanLakeLandSnow',\n", + "'precip_diff_12lev',\n", + "'precip_diff_1lev',\n", + "'SVG_bhw3_22',\n", + "'SVG_es_landscape_79',\n", + "# Blue/Yellow/Red color tables\n", + "'amwg_blueyellowred',\n", + "'BlueWhiteOrangeRed',\n", + "'BlueYellowRed',\n", + "'cmp_b2r',\n", + "'cmp_flux',\n", + "'GMT_jet',\n", + "'GMT_no_green',\n", + "'GMT_panoply',\n", + "'MPL_RdYlBu',\n", + "'ncl_default',\n", + "'nrl_sirkes',\n", + "'nrl_sirkes_nowhite',\n", + "'UKM_hadcrut',\n", + "# Blue color tables\n", + "'cmocean_ice',\n", + "'MPL_Blues',\n", + "'MPL_PuBu',\n", + "'WhiteBlue',\n", + "# Purple color tables\n", + "'MPL_BuPu',\n", + "'MPL_Purples',\n", + "# Green color tables\n", + "'cmocean_algae',\n", + "'cmocean_tempo',\n", + "'MPL_BuGn',\n", + "'MPL_Greens',\n", + "'WhiteGreen',\n", + "# Gray color tables\n", + "'cmocean_gray',\n", + "'GMT_gray',\n", + "'GMT_relief_oceanonly',\n", + "'GrayWhiteGray',\n", + "'gscyclic',\n", + "'gsdtol',\n", + "'gsltod',\n", + "'mch_default',\n", + "'MPL_gist_gray',\n", + "'MPL_gist_yarg',\n", + "'MPL_Greys',\n", + "'MPL_RdGy',\n", + "'wxpEnIR',\n", + "# Banded color tables\n", + "'3gauss',\n", + "'3saw',\n", + "'cb_9step',\n", + "'detail',\n", + "'extrema',\n", + "'matlab_lines',\n", + "'MPL_StepSeq',\n", + "'NCV_banded',\n", + "'NCV_manga',\n", + "'NCV_roullet',\n", + "'psgcap',\n", + "'StepSeq25',\n", + "'SVG_Gallet13',\n", + "'SVG_Lindaa06',\n", + "'SVG_Lindaa07',\n", + "'uniform',\n", + "# Faded color tables\n", + "'CBR_set3',\n", + "'GMT_topo',\n", + "'MPL_Accent',\n", + "'MPL_Dark2',\n", + "'MPL_Paired',\n", + "'MPL_Pastel1',\n", + "'MPL_Pastel2',\n", + "'MPL_Set1',\n", + "'MPL_Set2',\n", + "'MPL_Set3',\n", + "'SVG_feb_sunrise',\n", + "'SVG_foggy_sunrise',\n", + "# Circular color tables\n", + "'circular_0',\n", + "'circular_1',\n", + "'circular_2',\n", + "'cmocean_phase',\n", + "'GrayWhiteGray',\n", + "'matlab_lines',\n", + "# Miscellaneous color tables\n", + "'default',\n", + "'helix',\n", + "'hlu_default',\n", + "'lithology',\n", + "'thelix',\n", + "# Vegetation color tables\n", + "'MPL_BrBG',\n", + "'NEO_div_vegetation_a',\n", + "'NEO_div_vegetation_b',\n", + "'NEO_div_vegetation_c',\n", + "'NEO_modis_ndvi',\n", + "'NOC_ndvi',\n", + "'vegetation_ClarkU',\n", + "'vegetation_modis',\n", + "'MPL_PiYG',\n", + "'MPL_PuOr',\n", + "'GMT_paired',\n", + "'grads_default',\n", + "'MPL_bone',\n", + "'MPL_brg',\n", + "'MPL_cubehelix',\n", + "'MPL_flag',\n", + "'MPL_gist_stern',\n", + "'MPL_gnuplot2',\n", + "'MPL_prism',\n", + "'MPL_s3pcpn_l',\n", + "'MPL_spring',\n", + "'MPL_sstanom']\n", + "ncl_names = list(set(ncl_names)) # gets rid of duplicates\n", + "\n", + "def guess_ncl_url(cmap):\n", + " return f\"https://www.ncl.ucar.edu/Document/Graphics/ColorTables/Files/{cmap}.rgb\"\n", + "\n", + "\n", + "def download_ncl_colormap(url, dest):\n", + " urlretrieve(url, dest)\n", + "\n", + "\n", + "def read_ncl_colormap(fil):\n", + " # determine if fil is a URL:\n", + " # if so, we have to download it\n", + " if isinstance(fil, str):\n", + " pars = urlparse(fil)\n", + " if pars.scheme in ['http', 'https', 'ftp']:\n", + " filename = Path.cwd() / fil.split(\"/\")[-1]\n", + " if filename.is_file():\n", + " print(f\"File already downloaded as {filename}\")\n", + " else:\n", + " print(f\"File will be downloaded and saved as {filename}\")\n", + " download_ncl_colormap(fil, str(filename))\n", + " else:\n", + " is_url = False\n", + " filename = Path(fil)\n", + " elif isinstance(fil, Path):\n", + " filename = fil\n", + " else:\n", + " raise ValueError(f\"ERROR: what to do with type {type(fil)}\")\n", + " \n", + " # NCL's colormaps are not regularized enough to just use read_csv. \n", + " # We have to determine how many lines to skip because it varies.\n", + " # NCL has some files that have \"comments\" at the end\n", + " # which will look like additional columnns\n", + " # We basically are forced to just read line-by-line\n", + "\n", + " # ASSUME ALL NCL COLORMAPS ARE N rows BY 3 COLUMNS,\n", + " # AND THE VALUES ARE INTEGERS 0-255.\n", + " with open(filename) as f:\n", + " table_exists = False\n", + " for count, line in enumerate(f):\n", + " line_str = line.strip() # remove leading/trailing whitespace\n", + " if (len(line_str) == 0) or (not line_str[0].isdigit()):\n", + " continue # empty line or non-data line \n", + " # NOTE: also skips if the first value is negative (hlu_default) \n", + " else:\n", + " if re.search(r'[^\\s0-9-\\.]', line_str): # any non number characters ASSUMED AT END\n", + " # take the string up to the non-matching character\n", + " line_vals = line_str[:re.search(r'[^\\s0-9-\\.]', line_str).start()-1].strip().split()\n", + " else:\n", + " line_vals = line_str.split()\n", + " try: \n", + " row = [float(r) for r in line_vals]\n", + " except:\n", + " print(\"ERROR\")\n", + " print(line_vals)\n", + " if table_exists:\n", + " table = np.vstack([table, row])\n", + " else:\n", + " table = np.array(row)\n", + " table_exists=True\n", + " return table\n", + "\n", + "def ncl_to_mpl(nclmap, name):\n", + " if nclmap.max() > 1:\n", + " try:\n", + " vals = nclmap / 255\n", + " except:\n", + " print(f\"ERROR: could not divide by 255. {type(nclmap) = }\")\n", + " print(nclmap)\n", + " return None\n", + " else:\n", + " print(f\"{name} seems to be 0-1\")\n", + " vals = nclmap\n", + " assert vals.shape[1] == 3, 'vals.shape should be (N,3)'\n", + " ncolors = vals.shape[0]\n", + " if ncolors > 100:\n", + " my_cmap = mpl.colors.LinearSegmentedColormap.from_list(name, vals)\n", + " my_cmap_r = my_cmap.reversed()\n", + " else:\n", + " my_cmap = mpl.colors.ListedColormap(vals, name)\n", + " my_cmap_r = my_cmap.reversed()\n", + " # my_cmap, my_cmap_r from reversing a colormap\n", + " # ALLOW MPL TO KNOW ABOUT THE COLORMAP:\n", + " # mpl.colormaps.register(cmap=my_cmap)\n", + " # mpl.colormaps.register(cmap=my_cmap_r)\n", + " return my_cmap, my_cmap_r\n" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MPL_YlOrRd seems to be 0-1\n", + "MPL_sstanom seems to be 0-1\n", + "MPL_ocean seems to be 0-1\n", + "MPL_viridis seems to be 0-1\n", + "temp1 seems to be 0-1\n", + "hlu_default seems to be 0-1\n", + "MPL_YlOrBr seems to be 0-1\n", + "GMT_paired seems to be 0-1\n", + "MPL_pink seems to be 0-1\n", + "MPL_RdGy seems to be 0-1\n", + "GMT_ocean seems to be 0-1\n", + "MPL_Accent seems to be 0-1\n", + "MPL_gnuplot2 seems to be 0-1\n", + "MPL_PRGn seems to be 0-1\n", + "MPL_StepSeq seems to be 0-1\n", + "MPL_PiYG seems to be 0-1\n", + "MPL_gnuplot seems to be 0-1\n", + "GMT_topo seems to be 0-1\n", + "MPL_RdYlBu seems to be 0-1\n", + "psgcap seems to be 0-1\n", + "MPL_cool seems to be 0-1\n", + "MPL_winter seems to be 0-1\n", + "MPL_prism seems to be 0-1\n", + "MPL_Set1 seems to be 0-1\n", + "GMT_copper seems to be 0-1\n", + "GMT_globe seems to be 0-1\n", + "MPL_RdBu seems to be 0-1\n", + "GMT_split seems to be 0-1\n", + "MPL_PuBuGn seems to be 0-1\n", + "MPL_bone seems to be 0-1\n", + "MPL_flag seems to be 0-1\n", + "GMT_wysiwyg seems to be 0-1\n", + "GMT_gray seems to be 0-1\n", + "GMT_relief_oceanonly seems to be 0-1\n", + "MPL_Set2 seems to be 0-1\n", + "GMT_seis seems to be 0-1\n", + "MPL_seismic seems to be 0-1\n", + "GMT_no_green seems to be 0-1\n", + "MPL_Greys seems to be 0-1\n", + "MPL_Oranges seems to be 0-1\n", + "default seems to be 0-1\n", + "gscyclic seems to be 0-1\n", + "GMT_gebco seems to be 0-1\n", + "MPL_BuPu seems to be 0-1\n", + "MPL_s3pcpn_l seems to be 0-1\n", + "MPL_Reds seems to be 0-1\n", + "GMT_drywet seems to be 0-1\n", + "MPL_BuGn seems to be 0-1\n", + "MPL_hot seems to be 0-1\n", + "GMT_haxby seems to be 0-1\n", + "GMT_panoply seems to be 0-1\n", + "MPL_jet seems to be 0-1\n", + "MPL_Dark2 seems to be 0-1\n", + "MPL_terrain seems to be 0-1\n", + "MPL_Greens seems to be 0-1\n", + "MPL_gist_earth seems to be 0-1\n", + "MPL_RdYlGn seems to be 0-1\n", + "MPL_gist_stern seems to be 0-1\n", + "MPL_bwr seems to be 0-1\n", + "MPL_summer seems to be 0-1\n", + "MPL_gist_ncar seems to be 0-1\n", + "MPL_gist_rainbow seems to be 0-1\n", + "MPL_copper seems to be 0-1\n", + "GMT_jet seems to be 0-1\n", + "MPL_brg seems to be 0-1\n", + "MPL_spring seems to be 0-1\n", + "MPL_Spectral seems to be 0-1\n", + "MPL_Blues seems to be 0-1\n", + "GMT_cool seems to be 0-1\n", + "MPL_PuRd seems to be 0-1\n", + "MPL_s3pcpn seems to be 0-1\n", + "GMT_nighttime seems to be 0-1\n", + "MPL_gist_yarg seems to be 0-1\n", + "MPL_Set3 seems to be 0-1\n", + "MPL_afmhot seems to be 0-1\n", + "MPL_Paired seems to be 0-1\n", + "MPL_gist_gray seems to be 0-1\n", + "MPL_YlGnBu seems to be 0-1\n", + "MPL_Pastel1 seems to be 0-1\n", + "GMT_polar seems to be 0-1\n", + "MPL_autumn seems to be 0-1\n", + "gsltod seems to be 0-1\n", + "MPL_coolwarm seems to be 0-1\n", + "MPL_GnBu seems to be 0-1\n", + "uniform seems to be 0-1\n", + "MPL_RdPu seems to be 0-1\n", + "MPL_cubehelix seems to be 0-1\n", + "MPL_YlGn seems to be 0-1\n", + "GMT_relief seems to be 0-1\n", + "gui_default seems to be 0-1\n", + "MPL_rainbow seems to be 0-1\n", + "nice_gfdl seems to be 0-1\n", + "MPL_PuOr seems to be 0-1\n", + "MPL_hsv seems to be 0-1\n", + "MPL_gist_heat seems to be 0-1\n", + "gsdtol seems to be 0-1\n", + "MPL_Pastel2 seems to be 0-1\n", + "cyclic seems to be 0-1\n", + "MPL_Purples seems to be 0-1\n", + "ncl_default seems to be 0-1\n", + "MPL_BrBG seems to be 0-1\n", + "GMT_wysiwygcont seems to be 0-1\n", + "MPL_OrRd seems to be 0-1\n", + "GMT_red2green seems to be 0-1\n", + "GMT_hot seems to be 0-1\n", + "example seems to be 0-1\n", + "MPL_PuBu seems to be 0-1\n" + ] + } + ], + "source": [ + "\n", + "ncl_colors = {}\n", + "\n", + "colormap_file_loc = Path.home() / \"Code\" / \"AMP_toolbox\" / \"ncl_colormaps_in_mpl\"\n", + "\n", + "for i in ncl_names:\n", + " url = guess_ncl_url(i)\n", + " locfil = colormap_file_loc / f\"{i}.rgb\"\n", + " if locfil.is_file():\n", + " data = read_ncl_colormap(locfil)\n", + " else:\n", + " data = read_ncl_colormap(url)\n", + " cm, cmr = ncl_to_mpl(data, i)\n", + " ncl_colors[cm.name] = cm\n", + " ncl_colors[cmr.name] = cmr\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "\n", + "gradient = np.linspace(0, 1, 256)\n", + "gradient = np.vstack((gradient, gradient))\n", + "\n", + "def plot_color_gradients(category, cmap_list):\n", + " # Create figure and adjust figure height to number of colormaps\n", + " nrows = len(cmap_list)\n", + " figh = 0.35 + 0.15 + (nrows + (nrows - 1) * 0.1) * 0.22\n", + " fig, axs = plt.subplots(nrows=nrows + 1, figsize=(6.4, figh))\n", + " fig.subplots_adjust(top=1 - 0.35 / figh, bottom=0.15 / figh,\n", + " left=0.2, right=0.99)\n", + " axs[0].set_title(f'{category} colormaps', fontsize=14)\n", + "\n", + " for ax, name in zip(axs, cmap_list):\n", + " ax.imshow(gradient, aspect='auto', cmap=ncl_colors[name])\n", + " ax.text(-0.01, 0.5, name, va='center', ha='right', fontsize=10,\n", + " transform=ax.transAxes)\n", + "\n", + " # Turn off *all* ticks & spines, not just the ones with colormaps.\n", + " for ax in axs:\n", + " ax.set_axis_off()" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_color_gradients('NCL rainbow',\n", + " ncl_names)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/Users/brianpm/Code/AMP_toolbox/ncl_colormaps_in_mpl\n", + "/Users/brianpm/Code/AMP_toolbox/ncl_colormaps_in_mpl/MPL_PuBu.rgb\n", + "MPL_PuBu seems to be 0-1\n" + ] + } + ], + "source": [ + "print(colormap_file_loc)\n", + "f = colormap_file_loc / f\"MPL_PuBu.rgb\"\n", + "print(f)\n", + "m = read_ncl_colormap(f)\n", + "mo, mo_r = ncl_to_mpl(m, 'MPL_PuBu')" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'MPL_PuBu'" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mo.name " + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/* white/black */'" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s[re.search(r'[^\\s0-9-\\.]', s).start():]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "p12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.0" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/ncl_colormaps_in_mpl/ncview_default.rgb b/ncl_colormaps_in_mpl/ncview_default.rgb new file mode 100644 index 0000000..81f48cf --- /dev/null +++ b/ncl_colormaps_in_mpl/ncview_default.rgb @@ -0,0 +1,256 @@ +ncolors = 254 +# r g b +131 0 255 +128 0 255 +125 0 254 +122 0 254 +119 0 254 +116 0 253 +113 1 253 +110 2 252 +108 3 252 +106 3 252 +103 4 251 +101 5 251 +99 6 250 +96 7 250 +94 8 249 +92 9 249 +90 10 248 +87 12 247 +85 13 247 +83 14 246 +81 16 245 +79 18 244 +76 19 243 +74 21 242 +72 23 241 +70 24 240 +68 26 239 +66 28 238 +64 30 237 +62 32 236 +60 35 235 +58 37 233 +56 39 232 +54 41 231 +52 44 229 +50 46 228 +48 48 227 +47 51 225 +45 53 224 +43 56 222 +41 59 221 +39 61 219 +38 64 217 +36 67 216 +35 69 214 +33 72 212 +31 75 211 +30 78 209 +28 81 207 +27 84 205 +25 87 203 +24 90 202 +23 93 200 +21 96 198 +20 99 196 +19 102 194 +18 105 192 +16 108 190 +15 111 188 +14 114 186 +13 117 184 +12 120 182 +11 123 179 +10 126 177 +9 130 175 +8 133 173 +7 136 171 +7 139 169 +6 142 166 +5 145 164 +5 148 162 +4 151 160 +3 154 157 +3 157 155 +2 160 153 +2 163 151 +1 166 148 +1 169 146 +1 172 144 +0 175 141 +0 178 139 +0 181 137 +0 184 134 +0 186 132 +0 189 130 +0 192 127 +0 194 125 +0 197 123 +0 200 120 +0 202 118 +0 205 116 +0 207 113 +0 209 111 +1 212 109 +1 214 106 +2 216 104 +2 218 102 +2 221 99 +3 223 97 +3 225 95 +4 227 93 +5 229 90 +5 230 88 +6 232 86 +7 234 84 +8 235 82 +9 237 79 +9 239 77 +10 240 75 +11 241 73 +12 243 71 +13 244 69 +14 245 67 +16 246 65 +17 247 63 +18 248 61 +19 249 59 +20 250 57 +22 250 55 +23 251 53 +24 252 51 +26 252 49 +27 253 47 +29 253 45 +30 253 44 +32 253 42 +33 253 40 +35 254 38 +37 253 37 +38 253 35 +40 253 33 +42 253 32 +44 253 30 +45 252 29 +47 252 27 +49 251 26 +51 250 24 +53 250 23 +55 249 22 +57 248 20 +59 247 19 +61 246 18 +63 245 17 +65 244 16 +67 243 14 +69 241 13 +71 240 12 +73 239 11 +75 237 10 +77 235 9 +79 234 9 +82 232 8 +84 230 7 +86 229 6 +88 227 5 +90 225 5 +93 223 4 +95 221 3 +97 218 3 +99 216 2 +102 214 2 +104 212 2 +106 209 1 +109 207 1 +111 205 0 +113 202 0 +116 200 0 +118 197 0 +120 194 0 +123 192 0 +125 189 0 +127 186 0 +130 184 0 +132 181 0 +134 178 0 +137 175 0 +139 172 0 +141 169 0 +144 166 1 +146 163 1 +148 160 1 +151 157 2 +153 154 2 +155 151 3 +157 148 3 +160 145 4 +162 142 5 +164 139 5 +166 136 6 +169 133 7 +171 130 7 +173 126 8 +175 123 9 +177 120 10 +179 117 11 +182 114 12 +184 111 13 +186 108 14 +188 105 15 +190 102 16 +192 99 18 +194 96 19 +196 93 20 +198 90 21 +200 87 23 +202 84 24 +203 81 25 +205 78 27 +207 75 28 +209 72 30 +211 69 31 +212 67 33 +214 64 35 +216 61 36 +217 59 38 +219 56 39 +221 53 41 +222 51 43 +224 48 45 +225 46 47 +227 44 48 +228 41 50 +229 39 52 +231 37 54 +232 35 56 +233 32 58 +235 30 60 +236 28 62 +237 26 64 +238 24 66 +239 23 68 +240 21 70 +241 19 72 +242 18 74 +243 16 76 +244 14 79 +245 13 81 +246 12 83 +247 10 85 +247 9 87 +248 8 90 +249 7 92 +249 6 94 +250 5 96 +250 4 99 +251 3 101 +251 3 103 +252 2 106 +252 1 108 +252 1 110 +253 0 113 +253 0 115 +253 0 117 +253 0 119 diff --git a/ncl_colormaps_in_mpl/nice_gfdl.rgb b/ncl_colormaps_in_mpl/nice_gfdl.rgb new file mode 100644 index 0000000..ea1bc67 --- /dev/null +++ b/ncl_colormaps_in_mpl/nice_gfdl.rgb @@ -0,0 +1,227 @@ +ncolors= 225 +# r g b +0.996078 0.984314 0.964706 +0.925490 0.929412 0.945098 +0.905882 0.909804 0.925490 +0.862745 0.882353 0.901961 +0.835294 0.854902 0.874510 +0.811765 0.823529 0.858824 +0.784314 0.796078 0.831373 +0.749020 0.772549 0.811765 +0.729412 0.749020 0.788235 +0.694118 0.717647 0.768627 +0.670588 0.690196 0.741176 +0.639216 0.666667 0.725490 +0.611765 0.639216 0.698039 +0.580392 0.607843 0.666667 +0.560784 0.588235 0.647059 +0.517647 0.560784 0.623529 +0.490196 0.537255 0.596078 +0.462745 0.517647 0.576471 +0.435294 0.490196 0.545098 +0.400000 0.447059 0.525490 +0.384314 0.431373 0.509804 +0.352941 0.407843 0.486275 +0.325490 0.380392 0.458824 +0.294118 0.356863 0.443137 +0.270588 0.329412 0.415686 +0.247059 0.301961 0.396078 +0.223529 0.282353 0.372549 +0.196078 0.254902 0.360784 +0.168627 0.223529 0.325490 +0.133333 0.203922 0.301961 +0.113725 0.180392 0.274510 +0.094118 0.149020 0.250980 +0.074510 0.125490 0.227451 +0.050980 0.109804 0.203922 +0.047059 0.105882 0.196078 +0.050980 0.117647 0.203922 +0.062745 0.129412 0.219608 +0.074510 0.141176 0.235294 +0.086275 0.156863 0.254902 +0.094118 0.176471 0.258824 +0.105882 0.188235 0.274510 +0.121569 0.207843 0.298039 +0.133333 0.219608 0.309804 +0.137255 0.243137 0.325490 +0.145098 0.254902 0.337255 +0.160784 0.270588 0.356863 +0.176471 0.286275 0.372549 +0.180392 0.301961 0.380392 +0.196078 0.313725 0.396078 +0.203922 0.325490 0.407843 +0.219608 0.341176 0.423529 +0.223529 0.360784 0.427451 +0.247059 0.384314 0.450980 +0.247059 0.396078 0.458824 +0.262745 0.415686 0.478431 +0.282353 0.439216 0.490196 +0.290196 0.447059 0.498039 +0.298039 0.462745 0.513725 +0.309804 0.478431 0.529412 +0.313725 0.501961 0.533333 +0.329412 0.517647 0.549020 +0.333333 0.529412 0.560784 +0.349020 0.549020 0.580392 +0.356863 0.564706 0.592157 +0.372549 0.580392 0.607843 +0.392157 0.603922 0.631373 +0.403922 0.615686 0.643137 +0.403922 0.631373 0.643137 +0.423529 0.654902 0.666667 +0.431373 0.662745 0.674510 +0.447059 0.678431 0.694118 +0.454902 0.698039 0.705882 +0.474510 0.717647 0.725490 +0.482353 0.725490 0.733333 +0.501961 0.749020 0.756863 +0.505882 0.772549 0.752941 +0.517647 0.788235 0.764706 +0.525490 0.807843 0.784314 +0.541176 0.819608 0.800000 +0.549020 0.839216 0.811765 +0.564706 0.858824 0.831373 +0.580392 0.874510 0.847059 +0.596078 0.894118 0.862745 +0.596078 0.905882 0.862745 +0.596078 0.905882 0.862745 +0.576471 0.890196 0.819608 +0.564706 0.878431 0.811765 +0.549020 0.866667 0.760784 +0.541176 0.858824 0.752941 +0.529412 0.847059 0.729412 +0.517647 0.835294 0.713725 +0.498039 0.827451 0.662745 +0.478431 0.807843 0.643137 +0.470588 0.803922 0.607843 +0.454902 0.784314 0.588235 +0.443137 0.776471 0.556863 +0.431373 0.764706 0.545098 +0.415686 0.749020 0.501961 +0.407843 0.741176 0.494118 +0.392157 0.729412 0.458824 +0.380392 0.713725 0.447059 +0.368627 0.701961 0.415686 +0.352941 0.682353 0.400000 +0.345098 0.678431 0.360784 +0.329412 0.662745 0.345098 +0.317647 0.647059 0.325490 +0.305882 0.635294 0.313725 +0.282353 0.623529 0.270588 +0.274510 0.615686 0.262745 +0.262745 0.592157 0.223529 +0.258824 0.584314 0.215686 +0.247059 0.576471 0.180392 +0.243137 0.572549 0.176471 +0.270588 0.584314 0.149020 +0.282353 0.600000 0.160784 +0.313725 0.619608 0.117647 +0.329412 0.639216 0.129412 +0.372549 0.654902 0.098039 +0.384314 0.666667 0.109804 +0.419608 0.686275 0.070588 +0.435294 0.701961 0.086275 +0.478431 0.721569 0.023529 +0.494118 0.741176 0.050980 +0.529412 0.756863 0.000000 +0.545098 0.772549 0.000000 +0.588235 0.788235 0.000000 +0.603922 0.807843 0.000000 +0.635294 0.811765 0.000000 +0.658824 0.835294 0.000000 +0.698039 0.850980 0.000000 +0.721569 0.874510 0.000000 +0.756863 0.878431 0.000000 +0.780392 0.905882 0.000000 +0.823529 0.909804 0.000000 +0.847059 0.933333 0.000000 +0.878431 0.945098 0.000000 +0.901961 0.968627 0.000000 +0.933333 0.972549 0.000000 +0.960784 1.000000 0.000000 +1.000000 1.000000 0.000000 +1.000000 1.000000 0.000000 +1.000000 0.984314 0.000000 +1.000000 0.972549 0.000000 +1.000000 0.921569 0.000000 +1.000000 0.905882 0.000000 +1.000000 0.862745 0.000000 +1.000000 0.847059 0.000000 +1.000000 0.803922 0.000000 +1.000000 0.788235 0.000000 +1.000000 0.749020 0.000000 +1.000000 0.733333 0.000000 +1.000000 0.694118 0.000000 +1.000000 0.678431 0.000000 +1.000000 0.631373 0.000000 +1.000000 0.619608 0.000000 +1.000000 0.580392 0.000000 +1.000000 0.568627 0.000000 +1.000000 0.529412 0.000000 +1.000000 0.509804 0.000000 +1.000000 0.466667 0.000000 +1.000000 0.458824 0.000000 +1.000000 0.431373 0.000000 +1.000000 0.407843 0.000000 +1.000000 0.376471 0.000000 +0.980392 0.360784 0.000000 +0.952941 0.333333 0.000000 +0.929412 0.313725 0.000000 +0.909804 0.290196 0.000000 +0.886275 0.270588 0.000000 +0.862745 0.243137 0.000000 +0.843137 0.231373 0.000000 +0.819608 0.203922 0.000000 +0.792157 0.184314 0.000000 +0.772549 0.160784 0.000000 +0.749020 0.145098 0.000000 +0.725490 0.121569 0.023529 +0.721569 0.117647 0.019608 +0.686275 0.125490 0.023529 +0.674510 0.117647 0.011765 +0.631373 0.117647 0.035294 +0.627451 0.117647 0.031373 +0.603922 0.109804 0.031373 +0.592157 0.101961 0.023529 +0.549020 0.105882 0.035294 +0.545098 0.101961 0.031373 +0.505882 0.101961 0.027451 +0.501961 0.098039 0.023529 +0.474510 0.101961 0.035294 +0.466667 0.098039 0.031373 +0.431373 0.094118 0.039216 +0.427451 0.090196 0.035294 +0.392157 0.094118 0.039216 +0.388235 0.090196 0.035294 +0.360784 0.086275 0.039216 +0.349020 0.078431 0.031373 +0.313725 0.086275 0.047059 +0.301961 0.078431 0.043137 +0.290196 0.078431 0.043137 +0.278431 0.070588 0.039216 +0.239216 0.074510 0.039216 +0.235294 0.070588 0.039216 +0.215686 0.066667 0.043137 +0.207843 0.062745 0.039216 +0.180392 0.062745 0.043137 +0.160784 0.050980 0.031373 +0.141176 0.054902 0.035294 +0.137255 0.050980 0.031373 +0.113725 0.050980 0.035294 +0.101961 0.043137 0.023529 +0.082353 0.043137 0.031373 +0.070588 0.031373 0.019608 +0.058824 0.031373 0.023529 +0.058824 0.031373 0.023529 +0.054902 0.031373 0.019608 +0.050980 0.031373 0.015686 +0.047059 0.023529 0.019608 +0.050980 0.027451 0.023529 +0.043137 0.027451 0.019608 +0.039216 0.015686 0.000000 +0.035294 0.019608 0.015686 +0.031373 0.011765 0.000000 +0.023529 0.015686 0.000000 +0.023529 0.015686 0.000000 +0.000000 0.000000 0.000000 +0.000000 0.000000 0.000000 diff --git a/ncl_colormaps_in_mpl/nrl_sirkes.rgb b/ncl_colormaps_in_mpl/nrl_sirkes.rgb new file mode 100644 index 0000000..f2a83ad --- /dev/null +++ b/ncl_colormaps_in_mpl/nrl_sirkes.rgb @@ -0,0 +1,22 @@ +ncolors = 21 + 0 97 128 + 0 128 161 + 0 161 191 + 0 191 224 + 0 224 255 + 0 255 255 + 51 252 252 +102 252 252 +153 252 252 +204 252 252 +255 255 255 +252 252 0 +252 224 0 +252 191 0 +252 161 0 +252 128 0 +252 97 0 +252 64 0 +252 33 0 +191 0 0 +128 0 0 diff --git a/ncl_colormaps_in_mpl/nrl_sirkes_nowhite.rgb b/ncl_colormaps_in_mpl/nrl_sirkes_nowhite.rgb new file mode 100644 index 0000000..11d072b --- /dev/null +++ b/ncl_colormaps_in_mpl/nrl_sirkes_nowhite.rgb @@ -0,0 +1,20 @@ +ncolors = 19 + 0 97 128 + 0 128 161 + 0 161 191 + 0 191 224 + 0 224 255 + 0 255 255 + 51 252 252 +102 252 252 +153 252 252 +252 252 0 +252 224 0 +252 191 0 +252 161 0 +252 128 0 +252 97 0 +252 64 0 +252 33 0 +191 0 0 +128 0 0 diff --git a/ncl_colormaps_in_mpl/perc2_9lev.rgb b/ncl_colormaps_in_mpl/perc2_9lev.rgb new file mode 100644 index 0000000..30d61c2 --- /dev/null +++ b/ncl_colormaps_in_mpl/perc2_9lev.rgb @@ -0,0 +1,16 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 10 + +# r g b + 215 227 238 + 181 202 255 + 143 179 255 + 127 151 255 + 171 207 99 + 232 245 158 + 255 250 20 + 255 209 33 + 255 163 10 + 255 76 0 diff --git a/ncl_colormaps_in_mpl/percent_11lev.rgb b/ncl_colormaps_in_mpl/percent_11lev.rgb new file mode 100644 index 0000000..193a4d6 --- /dev/null +++ b/ncl_colormaps_in_mpl/percent_11lev.rgb @@ -0,0 +1,18 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 12 + +# r g b + 100 0 150 + 39 48 215 + 89 141 252 + 139 239 217 + 96 207 145 + 26 152 80 + 145 207 96 + 217 239 139 + 254 224 139 + 252 141 89 + 215 48 39 + 150 0 100 diff --git a/ncl_colormaps_in_mpl/posneg_1.rgb b/ncl_colormaps_in_mpl/posneg_1.rgb new file mode 100644 index 0000000..aab73cb --- /dev/null +++ b/ncl_colormaps_in_mpl/posneg_1.rgb @@ -0,0 +1,21 @@ + ncolors=19 +# r g b + 255 255 255 + 0 0 0 + 0 0 0 + 24 24 112 + 16 78 139 + 23 116 205 + 72 118 255 + 91 172 237 + 173 215 230 + 209 237 237 + 230 230 250 + 255 228 180 + 243 164 96 + 237 118 0 + 210 105 30 + 255 0 0 + 237 0 0 + 205 0 0 + 139 0 0 diff --git a/ncl_colormaps_in_mpl/posneg_2.rgb b/ncl_colormaps_in_mpl/posneg_2.rgb new file mode 100644 index 0000000..0b98b1d --- /dev/null +++ b/ncl_colormaps_in_mpl/posneg_2.rgb @@ -0,0 +1,22 @@ + ncolors=20 +# r g b + 255 255 255 + 0 0 0 + 24 24 112 + 16 78 139 + 23 116 205 + 72 118 255 + 91 172 237 + 173 215 230 + 209 237 237 + 229 239 249 + 242 255 255 + 253 245 230 + 255 228 180 + 243 164 96 + 237 118 0 + 205 102 29 + 224 49 15 + 237 0 0 + 205 0 0 + 139 0 0 diff --git a/ncl_colormaps_in_mpl/prcp_1.rgb b/ncl_colormaps_in_mpl/prcp_1.rgb new file mode 100644 index 0000000..430bb3a --- /dev/null +++ b/ncl_colormaps_in_mpl/prcp_1.rgb @@ -0,0 +1,19 @@ + ncolors=17 +# r g b + 255 255 255 + 170 255 255 + 85 160 255 + 29 0 255 + 126 229 91 + 78 204 67 + 46 178 57 + 30 153 61 + 255 255 102 + 255 204 102 + 255 136 76 + 255 25 25 + 204 61 61 + 165 49 49 + 237 0 237 + 137 103 205 + 250 240 230 diff --git a/ncl_colormaps_in_mpl/prcp_2.rgb b/ncl_colormaps_in_mpl/prcp_2.rgb new file mode 100644 index 0000000..59e7b4a --- /dev/null +++ b/ncl_colormaps_in_mpl/prcp_2.rgb @@ -0,0 +1,14 @@ + ncolors=12 +# r g b + 245 245 245 + 175 237 237 + 152 251 152 + 67 205 128 + 59 179 113 + 250 250 210 + 255 255 0 + 255 164 0 + 255 0 0 + 205 55 0 + 199 20 133 + 237 130 237 diff --git a/ncl_colormaps_in_mpl/prcp_3.rgb b/ncl_colormaps_in_mpl/prcp_3.rgb new file mode 100644 index 0000000..82ea704 --- /dev/null +++ b/ncl_colormaps_in_mpl/prcp_3.rgb @@ -0,0 +1,25 @@ + ncolors=23 +# r g b + 255 255 255 + 0 0 0 + 255 255 255 + 233 204 249 + 207 128 223 + 131 51 147 + 58 0 176 + 29 0 215 + 0 0 255 + 3 60 175 + 5 119 95 + 8 179 15 + 132 217 8 + 255 255 0 + 255 170 0 + 255 85 0 + 255 0 0 + 179 0 0 + 102 0 0 + 51 0 0 + 0 0 0 + 250 197 250 + 255 255 255 diff --git a/ncl_colormaps_in_mpl/precip2_15lev.rgb b/ncl_colormaps_in_mpl/precip2_15lev.rgb new file mode 100644 index 0000000..f6e5f9f --- /dev/null +++ b/ncl_colormaps_in_mpl/precip2_15lev.rgb @@ -0,0 +1,22 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 16 + +# r g b + 255 255 255 + 100 0 100 + 175 0 175 + 220 0 220 + 50 50 200 + 0 100 255 + 0 150 150 + 0 200 50 + 100 255 0 + 150 255 0 + 200 255 50 + 255 255 0 + 255 200 0 + 255 160 0 + 255 125 0 + 225 25 0 diff --git a/ncl_colormaps_in_mpl/precip2_17lev.rgb b/ncl_colormaps_in_mpl/precip2_17lev.rgb new file mode 100644 index 0000000..ddef68d --- /dev/null +++ b/ncl_colormaps_in_mpl/precip2_17lev.rgb @@ -0,0 +1,24 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 18 + +# r g b + 255 255 255 + 235 246 255 + 214 226 255 + 181 201 255 + 142 178 255 + 127 150 255 + 114 133 248 + 99 112 248 + 0 158 30 + 60 188 61 + 179 209 110 + 185 249 110 + 255 249 19 + 255 163 9 + 229 0 0 + 189 0 0 + 129 0 0 + 0 0 0 diff --git a/ncl_colormaps_in_mpl/precip3_16lev.rgb b/ncl_colormaps_in_mpl/precip3_16lev.rgb new file mode 100644 index 0000000..34fbbc2 --- /dev/null +++ b/ncl_colormaps_in_mpl/precip3_16lev.rgb @@ -0,0 +1,23 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 17 + +# r g b + 255 255 255 + 214 226 255 + 181 201 255 + 142 178 255 + 127 150 255 + 99 112 247 + 0 99 255 + 0 150 150 + 0 198 51 + 99 255 0 + 150 255 0 + 198 255 51 + 255 255 0 + 255 198 0 + 255 160 0 + 255 124 0 + 255 25 0 diff --git a/ncl_colormaps_in_mpl/precip4_11lev.rgb b/ncl_colormaps_in_mpl/precip4_11lev.rgb new file mode 100644 index 0000000..cbbe2e8 --- /dev/null +++ b/ncl_colormaps_in_mpl/precip4_11lev.rgb @@ -0,0 +1,18 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 12 + +# r g b + 254 254 254 + 223 255 249 + 154 217 202 + 103 194 163 + 64 173 117 + 50 166 150 + 90 160 205 + 66 146 199 + 76 141 196 + 7 47 107 + 7 30 70 + 76 0 115 diff --git a/ncl_colormaps_in_mpl/precip4_diff_19lev.rgb b/ncl_colormaps_in_mpl/precip4_diff_19lev.rgb new file mode 100644 index 0000000..2789499 --- /dev/null +++ b/ncl_colormaps_in_mpl/precip4_diff_19lev.rgb @@ -0,0 +1,26 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 20 + +# r g b + 107 33 7 + 181 59 33 + 199 85 66 + 205 105 90 + 166 50 55 + 173 64 88 + 194 103 114 + 217 154 159 + 255 223 224 + 254 254 254 + 254 254 254 + 223 255 249 + 154 217 202 + 103 194 163 + 64 173 117 + 50 166 150 + 90 160 205 + 66 146 199 + 76 141 196 + 7 47 107 diff --git a/ncl_colormaps_in_mpl/precip_11lev.rgb b/ncl_colormaps_in_mpl/precip_11lev.rgb new file mode 100644 index 0000000..20f0038 --- /dev/null +++ b/ncl_colormaps_in_mpl/precip_11lev.rgb @@ -0,0 +1,18 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 12 + +# r g b + 255 255 255 + 237 250 194 + 205 255 205 + 153 240 178 + 83 189 159 + 50 166 150 + 50 150 180 + 5 112 176 + 5 80 140 + 10 31 150 + 44 2 70 + 106 44 90 diff --git a/ncl_colormaps_in_mpl/precip_diff_12lev.rgb b/ncl_colormaps_in_mpl/precip_diff_12lev.rgb new file mode 100644 index 0000000..bef7896 --- /dev/null +++ b/ncl_colormaps_in_mpl/precip_diff_12lev.rgb @@ -0,0 +1,19 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 13 + +# r g b + 182 106 40 + 205 133 63 + 225 165 100 + 245 205 132 + 245 224 158 + 255 245 186 + 255 255 255 + 205 255 205 + 153 240 178 + 83 189 159 + 110 170 200 + 5 112 176 + 2 56 88 diff --git a/ncl_colormaps_in_mpl/precip_diff_1lev.rgb b/ncl_colormaps_in_mpl/precip_diff_1lev.rgb new file mode 100644 index 0000000..5dd0343 --- /dev/null +++ b/ncl_colormaps_in_mpl/precip_diff_1lev.rgb @@ -0,0 +1,8 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 2 + +# r g b + 83 189 159 + 225 165 100 diff --git a/ncl_colormaps_in_mpl/psgcap.rgb b/ncl_colormaps_in_mpl/psgcap.rgb new file mode 100644 index 0000000..c80aa4d --- /dev/null +++ b/ncl_colormaps_in_mpl/psgcap.rgb @@ -0,0 +1,240 @@ +ncolors = 239 +# r g b + 1.00 0.00 0.00 + 0.00 1.00 0.00 + 0.00 0.00 1.00 + 0.00 1.00 1.00 + 1.00 0.00 0.83 + 1.00 1.00 0.00 + 1.00 0.50 0.00 + 0.60 0.83 0.00 + 0.00 1.00 0.60 + 0.00 0.50 1.00 + 0.55 0.00 0.83 + 1.00 0.00 0.55 + 0.33 0.33 0.33 + 0.67 0.67 0.67 + 1.00 1.00 0.33 + 0.75 1.00 0.45 + 0.45 1.00 0.60 + 0.17 1.00 0.75 + 0.25 0.83 0.83 + 0.50 0.67 0.83 + 0.75 0.55 0.83 + 1.00 0.33 0.90 + 0.67 0.90 0.45 + 0.40 0.90 0.55 + 0.17 0.90 0.67 + 0.17 0.67 0.90 + 0.17 0.50 1.00 + 0.45 0.33 1.00 + 0.75 0.17 1.00 + 0.90 0.09 1.00 + 0.83 1.00 0.17 + 0.67 1.00 0.25 + 0.45 1.00 0.33 + 0.17 1.00 0.50 + 0.17 0.83 0.60 + 0.17 0.67 0.75 + 0.17 0.55 0.83 + 0.25 0.45 0.90 + 0.40 0.33 0.90 + 0.67 0.17 0.90 + 0.83 0.17 0.83 + 0.90 0.33 0.67 + 0.83 0.45 0.60 + 0.83 0.60 0.50 + 0.90 0.67 0.40 + 0.90 0.67 0.25 + 1.00 0.90 0.09 + 0.83 1.00 0.09 + 0.60 1.00 0.17 + 0.45 1.00 0.25 + 0.17 0.90 0.45 + 0.17 0.83 0.55 + 0.17 0.67 0.67 + 0.17 0.55 0.75 + 0.17 0.40 0.90 + 0.40 0.25 0.90 + 0.55 0.17 0.90 + 0.83 0.17 0.75 + 1.00 0.17 0.67 + 1.00 0.25 0.60 + 1.00 0.40 0.50 + 1.00 0.50 0.40 + 1.00 0.83 0.09 + 0.75 1.00 0.00 + 0.60 1.00 0.13 + 0.40 1.00 0.17 + 0.13 1.00 0.33 + 0.13 0.83 0.45 + 0.17 0.75 0.50 + 0.13 0.60 0.67 + 0.13 0.50 0.75 + 0.13 0.40 0.83 + 0.17 0.25 0.90 + 0.17 0.17 1.00 + 0.33 0.09 1.00 + 0.55 0.09 0.90 + 0.75 0.00 0.83 + 0.90 0.00 0.75 + 0.90 0.75 0.09 + 0.67 0.90 0.09 + 0.55 0.90 0.13 + 0.25 0.90 0.25 + 0.13 0.90 0.33 + 0.17 0.75 0.40 + 0.13 0.67 0.50 + 0.13 0.55 0.60 + 0.13 0.45 0.67 + 0.17 0.33 0.75 + 0.17 0.25 0.83 + 0.33 0.17 0.83 + 0.55 0.13 0.75 + 0.75 0.13 0.67 + 0.90 0.17 0.55 + 0.83 0.25 0.50 + 0.83 0.75 0.00 + 0.60 0.83 0.09 + 0.45 0.90 0.09 + 0.33 0.90 0.13 + 0.13 0.90 0.25 + 0.17 0.83 0.25 + 0.17 0.75 0.33 + 0.17 0.60 0.45 + 0.13 0.50 0.55 + 0.13 0.45 0.60 + 0.17 0.33 0.67 + 0.33 0.25 0.67 + 0.45 0.25 0.60 + 0.67 0.25 0.50 + 0.83 0.25 0.40 + 1.00 0.25 0.33 + 0.75 0.67 0.00 + 0.55 0.75 0.09 + 0.40 0.83 0.09 + 0.25 0.90 0.09 + 0.17 0.90 0.13 + 0.17 0.83 0.17 + 0.13 0.75 0.25 + 0.13 0.67 0.33 + 0.13 0.60 0.40 + 0.13 0.45 0.50 + 0.13 0.40 0.55 + 0.25 0.33 0.55 + 0.45 0.33 0.45 + 0.55 0.33 0.40 + 0.67 0.33 0.33 + 0.83 0.33 0.25 + 0.67 0.60 0.00 + 0.50 0.67 0.09 + 0.40 0.67 0.13 + 0.25 0.67 0.17 + 0.13 0.67 0.25 + 0.09 0.60 0.33 + 0.09 0.50 0.40 + 0.13 0.40 0.45 + 0.13 0.33 0.50 + 0.09 0.17 0.67 + 0.17 0.13 0.67 + 0.40 0.13 0.55 + 0.50 0.13 0.50 + 0.60 0.13 0.45 + 0.75 0.13 0.40 + 0.90 0.13 0.33 + 0.55 0.50 0.09 + 0.45 0.60 0.09 + 0.33 0.60 0.13 + 0.17 0.60 0.17 + 0.09 0.55 0.25 + 0.13 0.45 0.33 + 0.09 0.40 0.40 + 0.17 0.33 0.40 + 0.17 0.25 0.45 + 0.25 0.17 0.50 + 0.25 0.13 0.55 + 0.33 0.13 0.50 + 0.45 0.13 0.45 + 0.55 0.13 0.40 + 0.67 0.13 0.33 + 0.83 0.13 0.25 + 0.50 0.45 0.09 + 0.40 0.50 0.09 + 0.33 0.60 0.00 + 0.17 0.60 0.09 + 0.13 0.67 0.09 + 0.13 0.60 0.13 + 0.13 0.50 0.17 + 0.09 0.45 0.25 + 0.13 0.40 0.25 + 0.13 0.33 0.33 + 0.09 0.25 0.40 + 0.09 0.17 0.50 + 0.09 0.13 0.55 + 0.13 0.00 0.60 + 0.33 0.00 0.50 + 0.50 0.00 0.40 + 0.75 0.33 0.00 + 0.67 0.40 0.00 + 0.55 0.40 0.09 + 0.33 0.40 0.17 + 0.25 0.33 0.25 + 0.25 0.25 0.33 + 0.25 0.17 0.40 + 0.33 0.13 0.40 + 0.50 0.13 0.33 + 0.60 0.13 0.25 + 0.75 0.09 0.25 + 0.83 0.00 0.25 + 1.00 0.00 0.17 + 1.00 0.13 0.13 + 0.90 0.17 0.09 + 0.83 0.25 0.09 + 0.60 0.25 0.00 + 0.45 0.40 0.00 + 0.25 0.40 0.13 + 0.25 0.33 0.17 + 0.17 0.25 0.25 + 0.17 0.17 0.33 + 0.25 0.13 0.33 + 0.33 0.09 0.33 + 0.50 0.09 0.25 + 0.67 0.09 0.17 + 0.83 0.00 0.17 + 0.90 0.00 0.13 + 1.00 0.00 0.09 + 1.00 0.13 0.09 + 0.83 0.17 0.00 + 0.75 0.25 0.00 + 0.50 0.17 0.00 + 0.40 0.33 0.00 + 0.13 0.45 0.09 + 0.09 0.40 0.13 + 0.09 0.33 0.17 + 0.09 0.25 0.25 + 0.13 0.17 0.33 + 0.17 0.09 0.40 + 0.25 0.00 0.33 + 0.45 0.00 0.25 + 0.60 0.00 0.17 + 0.75 0.00 0.13 + 0.83 0.00 0.09 + 0.75 0.09 0.09 + 0.67 0.13 0.09 + 0.60 0.17 0.00 + 0.40 0.17 0.00 + 0.17 0.33 0.00 + 0.09 0.33 0.00 + 0.09 0.25 0.09 + 0.09 0.17 0.13 + 0.09 0.13 0.25 + 0.09 0.13 0.33 + 0.09 0.00 0.33 + 0.13 0.00 0.25 + 0.17 0.00 0.17 + 0.33 0.00 0.17 + 0.33 0.00 0.13 + 0.40 0.00 0.09 + 0.45 0.09 0.09 + 0.45 0.13 0.00 + 0.17 0.09 0.00 diff --git a/ncl_colormaps_in_mpl/radar.rgb b/ncl_colormaps_in_mpl/radar.rgb new file mode 100644 index 0000000..ee309c4 --- /dev/null +++ b/ncl_colormaps_in_mpl/radar.rgb @@ -0,0 +1,17 @@ +ncolors = 15 +# r g b + 0 255 255 # cyan + 0 157 255 # light.blue + 0 0 255 # blue + 9 130 175 # light.green + 0 255 0 # green + 8 175 20 # dark.green + 255 214 0 # yellow + 255 152 0 # light.orange + 255 0 0 # red + 221 0 27 # added + 188 0 54 # med.red + 121 0 109 # dark.red + 121 51 160 # light.violet + 195 163 212 # violet + 255 255 255 # white diff --git a/ncl_colormaps_in_mpl/radar_1.rgb b/ncl_colormaps_in_mpl/radar_1.rgb new file mode 100644 index 0000000..fb93cff --- /dev/null +++ b/ncl_colormaps_in_mpl/radar_1.rgb @@ -0,0 +1,26 @@ + ncolors=24 +# r g b + 178 248 255 + 178 184 255 + 125 37 205 + 84 26 139 + 237 230 133 + 205 198 115 + 150 150 150 + 255 255 255 + 170 255 255 + 85 160 255 + 29 0 255 + 126 229 91 + 78 204 67 + 46 178 57 + 30 153 61 + 255 255 102 + 255 204 102 + 255 136 76 + 255 25 25 + 204 61 61 + 165 49 49 + 237 0 237 + 137 103 205 + 250 240 230 diff --git a/ncl_colormaps_in_mpl/rainbow+gray.rgb b/ncl_colormaps_in_mpl/rainbow+gray.rgb new file mode 100644 index 0000000..b9b367a --- /dev/null +++ b/ncl_colormaps_in_mpl/rainbow+gray.rgb @@ -0,0 +1,240 @@ +ncolors= 237 + +# r g b + 0 0 0 + 4 0 3 + 9 0 7 + 13 0 10 + 18 0 14 + 22 0 19 + 27 0 23 + 31 0 28 + 36 0 32 + 40 0 38 + 45 0 43 + 50 0 48 + 58 0 59 + 64 0 68 + 68 0 72 + 69 0 77 + 72 0 81 + 74 0 86 + 77 0 91 + 79 0 95 + 80 0 100 + 82 0 104 + 83 0 109 + 84 0 118 + 86 0 122 + 88 0 132 + 86 0 136 + 87 0 141 + 87 0 145 + 87 0 150 + 85 0 154 + 84 0 159 + 84 0 163 + 84 0 168 + 79 0 177 + 78 0 182 + 77 0 186 + 76 0 191 + 70 0 200 + 68 0 204 + 66 0 209 + 60 0 214 + 58 0 218 + 55 0 223 + 46 0 232 + 43 0 236 + 40 0 241 + 36 0 245 + 33 0 250 + 25 0 255 + 16 0 255 + 12 0 255 + 4 0 255 + 0 0 255 + 0 4 255 + 0 16 255 + 0 21 255 + 0 25 255 + 0 29 255 + 0 38 255 + 0 42 255 + 0 46 255 + 0 51 255 + 0 63 255 + 0 67 255 + 0 72 255 + 0 84 255 + 0 89 255 + 0 93 255 + 0 97 255 + 0 106 255 + 0 110 255 + 0 114 255 + 0 119 255 + 0 127 255 + 0 135 255 + 0 140 255 + 0 152 255 + 0 157 255 + 0 161 255 + 0 165 255 + 0 174 255 + 0 178 255 + 0 182 255 + 0 187 255 + 0 195 255 + 0 199 255 + 0 216 255 + 0 220 255 + 0 225 255 + 0 229 255 + 0 233 255 + 0 242 255 + 0 246 255 + 0 250 255 + 0 255 255 + 0 255 246 + 0 255 242 + 0 255 238 + 0 255 225 + 0 255 216 + 0 255 212 + 0 255 203 + 0 255 199 + 0 255 195 + 0 255 191 + 0 255 187 + 0 255 178 + 0 255 174 + 0 255 170 + 0 255 157 + 0 255 152 + 0 255 144 + 0 255 135 + 0 255 131 + 0 255 127 + 0 255 123 + 0 255 114 + 0 255 110 + 0 255 106 + 0 255 102 + 0 255 89 + 0 255 84 + 0 255 80 + 0 255 76 + 0 255 63 + 0 255 59 + 0 255 55 + 0 255 46 + 0 255 42 + 0 255 38 + 0 255 25 + 0 255 21 + 0 255 16 + 0 255 12 + 0 255 8 + 0 255 0 + 8 255 0 + 12 255 0 + 21 255 0 + 25 255 0 + 29 255 0 + 42 255 0 + 46 255 0 + 51 255 0 + 55 255 0 + 63 255 0 + 67 255 0 + 72 255 0 + 76 255 0 + 89 255 0 + 93 255 0 + 97 255 0 + 110 255 0 + 114 255 0 + 119 255 0 + 123 255 0 + 131 255 0 + 135 255 0 + 140 255 0 + 144 255 0 + 153 255 0 + 161 255 0 + 165 255 0 + 178 255 0 + 182 255 0 + 187 255 0 + 191 255 0 + 199 255 0 + 203 255 0 + 208 255 0 + 212 255 0 + 221 255 0 + 225 255 0 + 242 255 0 + 246 255 0 + 250 255 0 + 255 255 0 + 255 250 0 + 255 242 0 + 255 238 0 + 255 233 0 + 255 229 0 + 255 221 0 + 255 216 0 + 255 212 0 + 255 199 0 + 255 191 0 + 255 187 0 + 255 178 0 + 255 174 0 + 255 170 0 + 255 165 0 + 255 161 0 + 255 153 0 + 255 148 0 + 255 144 0 + 255 131 0 + 255 127 0 + 255 119 0 + 255 110 0 + 255 106 0 + 255 102 0 + 255 97 0 + 255 89 0 + 255 85 0 + 255 80 0 + 255 76 0 + 255 63 0 + 255 59 0 + 255 55 0 + 255 51 0 + 255 38 0 + 255 34 0 + 255 29 0 + 255 21 0 + 255 17 0 + 255 12 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 211 211 211 diff --git a/ncl_colormaps_in_mpl/rainbow+white+gray.rgb b/ncl_colormaps_in_mpl/rainbow+white+gray.rgb new file mode 100644 index 0000000..0127499 --- /dev/null +++ b/ncl_colormaps_in_mpl/rainbow+white+gray.rgb @@ -0,0 +1,241 @@ +ncolors= 238 + +# r g b + 0 0 0 + 4 0 3 + 9 0 7 + 13 0 10 + 18 0 14 + 22 0 19 + 27 0 23 + 31 0 28 + 36 0 32 + 40 0 38 + 45 0 43 + 50 0 48 + 58 0 59 + 64 0 68 + 68 0 72 + 69 0 77 + 72 0 81 + 74 0 86 + 77 0 91 + 79 0 95 + 80 0 100 + 82 0 104 + 83 0 109 + 84 0 118 + 86 0 122 + 88 0 132 + 86 0 136 + 87 0 141 + 87 0 145 + 87 0 150 + 85 0 154 + 84 0 159 + 84 0 163 + 84 0 168 + 79 0 177 + 78 0 182 + 77 0 186 + 76 0 191 + 70 0 200 + 68 0 204 + 66 0 209 + 60 0 214 + 58 0 218 + 55 0 223 + 46 0 232 + 43 0 236 + 40 0 241 + 36 0 245 + 33 0 250 + 25 0 255 + 16 0 255 + 12 0 255 + 4 0 255 + 0 0 255 + 0 4 255 + 0 16 255 + 0 21 255 + 0 25 255 + 0 29 255 + 0 38 255 + 0 42 255 + 0 46 255 + 0 51 255 + 0 63 255 + 0 67 255 + 0 72 255 + 0 84 255 + 0 89 255 + 0 93 255 + 0 97 255 + 0 106 255 + 0 110 255 + 0 114 255 + 0 119 255 + 0 127 255 + 0 135 255 + 0 140 255 + 0 152 255 + 0 157 255 + 0 161 255 + 0 165 255 + 0 174 255 + 0 178 255 + 0 182 255 + 0 187 255 + 0 195 255 + 0 199 255 + 0 216 255 + 0 220 255 + 0 225 255 + 0 229 255 + 0 233 255 + 0 242 255 + 0 246 255 + 0 250 255 + 0 255 255 + 0 255 246 + 0 255 242 + 0 255 238 + 0 255 225 + 0 255 216 + 0 255 212 + 0 255 203 + 0 255 199 + 0 255 195 + 0 255 191 + 0 255 187 + 0 255 178 + 0 255 174 + 0 255 170 + 0 255 157 + 0 255 152 + 0 255 144 + 0 255 135 + 0 255 131 + 0 255 127 + 0 255 123 + 0 255 114 + 0 255 110 + 0 255 106 + 0 255 102 + 0 255 89 + 0 255 84 + 0 255 80 + 0 255 76 + 0 255 63 + 0 255 59 + 0 255 55 + 0 255 46 + 0 255 42 + 0 255 38 + 0 255 25 + 0 255 21 + 0 255 16 + 0 255 12 + 0 255 8 + 0 255 0 + 8 255 0 + 12 255 0 + 21 255 0 + 25 255 0 + 29 255 0 + 42 255 0 + 46 255 0 + 51 255 0 + 55 255 0 + 63 255 0 + 67 255 0 + 72 255 0 + 76 255 0 + 89 255 0 + 93 255 0 + 97 255 0 + 110 255 0 + 114 255 0 + 119 255 0 + 123 255 0 + 131 255 0 + 135 255 0 + 140 255 0 + 144 255 0 + 153 255 0 + 161 255 0 + 165 255 0 + 178 255 0 + 182 255 0 + 187 255 0 + 191 255 0 + 199 255 0 + 203 255 0 + 208 255 0 + 212 255 0 + 221 255 0 + 225 255 0 + 242 255 0 + 246 255 0 + 250 255 0 + 255 255 0 + 255 250 0 + 255 242 0 + 255 238 0 + 255 233 0 + 255 229 0 + 255 221 0 + 255 216 0 + 255 212 0 + 255 199 0 + 255 191 0 + 255 187 0 + 255 178 0 + 255 174 0 + 255 170 0 + 255 165 0 + 255 161 0 + 255 153 0 + 255 148 0 + 255 144 0 + 255 131 0 + 255 127 0 + 255 119 0 + 255 110 0 + 255 106 0 + 255 102 0 + 255 97 0 + 255 89 0 + 255 85 0 + 255 80 0 + 255 76 0 + 255 63 0 + 255 59 0 + 255 55 0 + 255 51 0 + 255 38 0 + 255 34 0 + 255 29 0 + 255 21 0 + 255 17 0 + 255 12 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 255 255 + 211 211 211 diff --git a/ncl_colormaps_in_mpl/rainbow+white.rgb b/ncl_colormaps_in_mpl/rainbow+white.rgb new file mode 100644 index 0000000..9453bb0 --- /dev/null +++ b/ncl_colormaps_in_mpl/rainbow+white.rgb @@ -0,0 +1,240 @@ +ncolors= 237 + +# r g b + 0 0 0 + 4 0 3 + 9 0 7 + 13 0 10 + 18 0 14 + 22 0 19 + 27 0 23 + 31 0 28 + 36 0 32 + 40 0 38 + 45 0 43 + 50 0 48 + 58 0 59 + 64 0 68 + 68 0 72 + 69 0 77 + 72 0 81 + 74 0 86 + 77 0 91 + 79 0 95 + 80 0 100 + 82 0 104 + 83 0 109 + 84 0 118 + 86 0 122 + 88 0 132 + 86 0 136 + 87 0 141 + 87 0 145 + 87 0 150 + 85 0 154 + 84 0 159 + 84 0 163 + 84 0 168 + 79 0 177 + 78 0 182 + 77 0 186 + 76 0 191 + 70 0 200 + 68 0 204 + 66 0 209 + 60 0 214 + 58 0 218 + 55 0 223 + 46 0 232 + 43 0 236 + 40 0 241 + 36 0 245 + 33 0 250 + 25 0 255 + 16 0 255 + 12 0 255 + 4 0 255 + 0 0 255 + 0 4 255 + 0 16 255 + 0 21 255 + 0 25 255 + 0 29 255 + 0 38 255 + 0 42 255 + 0 46 255 + 0 51 255 + 0 63 255 + 0 67 255 + 0 72 255 + 0 84 255 + 0 89 255 + 0 93 255 + 0 97 255 + 0 106 255 + 0 110 255 + 0 114 255 + 0 119 255 + 0 127 255 + 0 135 255 + 0 140 255 + 0 152 255 + 0 157 255 + 0 161 255 + 0 165 255 + 0 174 255 + 0 178 255 + 0 182 255 + 0 187 255 + 0 195 255 + 0 199 255 + 0 216 255 + 0 220 255 + 0 225 255 + 0 229 255 + 0 233 255 + 0 242 255 + 0 246 255 + 0 250 255 + 0 255 255 + 0 255 246 + 0 255 242 + 0 255 238 + 0 255 225 + 0 255 216 + 0 255 212 + 0 255 203 + 0 255 199 + 0 255 195 + 0 255 191 + 0 255 187 + 0 255 178 + 0 255 174 + 0 255 170 + 0 255 157 + 0 255 152 + 0 255 144 + 0 255 135 + 0 255 131 + 0 255 127 + 0 255 123 + 0 255 114 + 0 255 110 + 0 255 106 + 0 255 102 + 0 255 89 + 0 255 84 + 0 255 80 + 0 255 76 + 0 255 63 + 0 255 59 + 0 255 55 + 0 255 46 + 0 255 42 + 0 255 38 + 0 255 25 + 0 255 21 + 0 255 16 + 0 255 12 + 0 255 8 + 0 255 0 + 8 255 0 + 12 255 0 + 21 255 0 + 25 255 0 + 29 255 0 + 42 255 0 + 46 255 0 + 51 255 0 + 55 255 0 + 63 255 0 + 67 255 0 + 72 255 0 + 76 255 0 + 89 255 0 + 93 255 0 + 97 255 0 + 110 255 0 + 114 255 0 + 119 255 0 + 123 255 0 + 131 255 0 + 135 255 0 + 140 255 0 + 144 255 0 + 153 255 0 + 161 255 0 + 165 255 0 + 178 255 0 + 182 255 0 + 187 255 0 + 191 255 0 + 199 255 0 + 203 255 0 + 208 255 0 + 212 255 0 + 221 255 0 + 225 255 0 + 242 255 0 + 246 255 0 + 250 255 0 + 255 255 0 + 255 250 0 + 255 242 0 + 255 238 0 + 255 233 0 + 255 229 0 + 255 221 0 + 255 216 0 + 255 212 0 + 255 199 0 + 255 191 0 + 255 187 0 + 255 178 0 + 255 174 0 + 255 170 0 + 255 165 0 + 255 161 0 + 255 153 0 + 255 148 0 + 255 144 0 + 255 131 0 + 255 127 0 + 255 119 0 + 255 110 0 + 255 106 0 + 255 102 0 + 255 97 0 + 255 89 0 + 255 85 0 + 255 80 0 + 255 76 0 + 255 63 0 + 255 59 0 + 255 55 0 + 255 51 0 + 255 38 0 + 255 34 0 + 255 29 0 + 255 21 0 + 255 17 0 + 255 12 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 255 255 diff --git a/ncl_colormaps_in_mpl/rainbow.rgb b/ncl_colormaps_in_mpl/rainbow.rgb new file mode 100644 index 0000000..aae1657 --- /dev/null +++ b/ncl_colormaps_in_mpl/rainbow.rgb @@ -0,0 +1,191 @@ +ncolors= 188 + +# r g b + 84 0 159 + 84 0 163 + 84 0 168 + 79 0 177 + 78 0 182 + 77 0 186 + 76 0 191 + 70 0 200 + 68 0 204 + 66 0 209 + 60 0 214 + 58 0 218 + 55 0 223 + 46 0 232 + 43 0 236 + 40 0 241 + 36 0 245 + 33 0 250 + 25 0 255 + 16 0 255 + 12 0 255 + 4 0 255 + 0 0 255 + 0 4 255 + 0 16 255 + 0 21 255 + 0 25 255 + 0 29 255 + 0 38 255 + 0 42 255 + 0 46 255 + 0 51 255 + 0 63 255 + 0 67 255 + 0 72 255 + 0 84 255 + 0 89 255 + 0 93 255 + 0 97 255 + 0 106 255 + 0 110 255 + 0 114 255 + 0 119 255 + 0 127 255 + 0 135 255 + 0 140 255 + 0 152 255 + 0 157 255 + 0 161 255 + 0 165 255 + 0 174 255 + 0 178 255 + 0 182 255 + 0 187 255 + 0 195 255 + 0 199 255 + 0 216 255 + 0 220 255 + 0 225 255 + 0 229 255 + 0 233 255 + 0 242 255 + 0 246 255 + 0 250 255 + 0 255 255 + 0 255 246 + 0 255 242 + 0 255 238 + 0 255 225 + 0 255 216 + 0 255 212 + 0 255 203 + 0 255 199 + 0 255 195 + 0 255 191 + 0 255 187 + 0 255 178 + 0 255 174 + 0 255 170 + 0 255 157 + 0 255 152 + 0 255 144 + 0 255 135 + 0 255 131 + 0 255 127 + 0 255 123 + 0 255 114 + 0 255 110 + 0 255 106 + 0 255 102 + 0 255 89 + 0 255 84 + 0 255 80 + 0 255 76 + 0 255 63 + 0 255 59 + 0 255 55 + 0 255 46 + 0 255 42 + 0 255 38 + 0 255 25 + 0 255 21 + 0 255 16 + 0 255 12 + 0 255 8 + 0 255 0 + 8 255 0 + 12 255 0 + 21 255 0 + 25 255 0 + 29 255 0 + 42 255 0 + 46 255 0 + 51 255 0 + 55 255 0 + 63 255 0 + 67 255 0 + 72 255 0 + 76 255 0 + 89 255 0 + 93 255 0 + 97 255 0 + 110 255 0 + 114 255 0 + 119 255 0 + 123 255 0 + 131 255 0 + 135 255 0 + 140 255 0 + 144 255 0 + 153 255 0 + 161 255 0 + 165 255 0 + 178 255 0 + 182 255 0 + 187 255 0 + 191 255 0 + 199 255 0 + 203 255 0 + 208 255 0 + 212 255 0 + 221 255 0 + 225 255 0 + 242 255 0 + 246 255 0 + 250 255 0 + 255 255 0 + 255 250 0 + 255 242 0 + 255 238 0 + 255 233 0 + 255 229 0 + 255 221 0 + 255 216 0 + 255 212 0 + 255 199 0 + 255 191 0 + 255 187 0 + 255 178 0 + 255 174 0 + 255 170 0 + 255 165 0 + 255 161 0 + 255 153 0 + 255 148 0 + 255 144 0 + 255 131 0 + 255 127 0 + 255 119 0 + 255 110 0 + 255 106 0 + 255 102 0 + 255 97 0 + 255 89 0 + 255 85 0 + 255 80 0 + 255 76 0 + 255 63 0 + 255 59 0 + 255 55 0 + 255 51 0 + 255 38 0 + 255 34 0 + 255 29 0 + 255 21 0 + 255 17 0 + 255 12 0 + 255 0 0 diff --git a/ncl_colormaps_in_mpl/rh_19lev.rgb b/ncl_colormaps_in_mpl/rh_19lev.rgb new file mode 100644 index 0000000..b62faf7 --- /dev/null +++ b/ncl_colormaps_in_mpl/rh_19lev.rgb @@ -0,0 +1,26 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 20 + +# r g b + 254 254 254 + 254 254 160 + 254 254 99 + 244 244 110 + 255 210 35 + 255 163 25 + 255 89 25 + 230 122 101 + 237 145 124 + 239 178 146 + 247 199 178 + 255 230 230 + 215 225 255 + 150 210 255 + 30 189 255 + 20 159 255 + 10 108 240 + 11 116 255 + 10 104 200 + 0 89 159 diff --git a/ncl_colormaps_in_mpl/seaice_1.rgb b/ncl_colormaps_in_mpl/seaice_1.rgb new file mode 100644 index 0000000..5a5a46d --- /dev/null +++ b/ncl_colormaps_in_mpl/seaice_1.rgb @@ -0,0 +1,15 @@ +ncolors= 13 +# r g b + 0 0 139 + 30 144 255 + 30 250 160 + 34 139 34 + 0 250 0 +125 250 0 +173 255 47 +250 250 0 +250 125 0 +250 0 0 +186 85 211 +148 0 211 +120 0 90 diff --git a/ncl_colormaps_in_mpl/seaice_2.rgb b/ncl_colormaps_in_mpl/seaice_2.rgb new file mode 100644 index 0000000..070ef93 --- /dev/null +++ b/ncl_colormaps_in_mpl/seaice_2.rgb @@ -0,0 +1,16 @@ +ncolors= 14 +# r g b + 0 0 139 + 9 47 175 + 25 122 237 +134 205 249 + 30 250 160 +173 255 47 +250 250 0 +250 187 0 +250 125 0 +250 0 0 +165 42 42 +120 0 90 +148 0 211 +186 85 211 diff --git a/ncl_colormaps_in_mpl/so4_21.rgb b/ncl_colormaps_in_mpl/so4_21.rgb new file mode 100644 index 0000000..ed62d4b --- /dev/null +++ b/ncl_colormaps_in_mpl/so4_21.rgb @@ -0,0 +1,24 @@ +ncolors= 21 + +# r g b + 0 0 0 + 29 0 45 + 58 0 91 + 87 0 136 + 58 0 176 + 29 0 215 + 0 0 255 + 3 60 175 + 5 119 95 + 8 179 15 + 132 217 8 + 255 255 0 + 255 170 0 + 255 85 0 + 255 0 0 + 250 27 80 + 245 53 160 + 240 80 240 + 245 138 245 + 250 197 250 + 255 255 255 diff --git a/ncl_colormaps_in_mpl/so4_23.rgb b/ncl_colormaps_in_mpl/so4_23.rgb new file mode 100644 index 0000000..ae9aa0d --- /dev/null +++ b/ncl_colormaps_in_mpl/so4_23.rgb @@ -0,0 +1,26 @@ +ncolors= 23 + +# r g b + 0 0 0 + 87 0 136 + 58 0 176 + 29 0 215 + 0 0 255 + 3 60 175 + 5 119 95 + 8 179 15 + 70 198 11 + 132 217 8 + 193 236 4 + 255 255 0 + 255 191 0 + 255 128 0 + 255 64 0 + 255 0 0 + 250 27 80 + 245 53 160 + 240 80 240 + 244 124 244 + 248 168 248 + 251 211 251 + 255 255 255 diff --git a/ncl_colormaps_in_mpl/spread_15lev.rgb b/ncl_colormaps_in_mpl/spread_15lev.rgb new file mode 100644 index 0000000..0cb13ed --- /dev/null +++ b/ncl_colormaps_in_mpl/spread_15lev.rgb @@ -0,0 +1,22 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 16 + +# r g b + 255 255 255 + 255 225 225 + 255 210 210 + 255 165 165 + 255 120 120 + 255 75 75 + 255 0 0 + 255 100 0 + 255 150 0 + 255 200 0 + 255 255 0 + 140 255 0 + 0 255 0 + 0 205 95 + 0 145 200 + 0 0 255 diff --git a/ncl_colormaps_in_mpl/srip_reanalysis.rgb b/ncl_colormaps_in_mpl/srip_reanalysis.rgb new file mode 100644 index 0000000..5d64c18 --- /dev/null +++ b/ncl_colormaps_in_mpl/srip_reanalysis.rgb @@ -0,0 +1,21 @@ +ncolors=19 +#r g b +226 31 38 +246 153 153 + 41 95 138 + 95 152 198 +175 203 227 +114 59 122 +173 113 181 +214 184 218 +245 126 32 +253 191 110 +236 0 140 +247 153 209 + 0 174 239 + 96 200 232 + 52 160 72 +179 91 40 +255 215 0 + 0 0 0 +119 119 119 diff --git a/ncl_colormaps_in_mpl/sunshine_9lev.rgb b/ncl_colormaps_in_mpl/sunshine_9lev.rgb new file mode 100644 index 0000000..2644848 --- /dev/null +++ b/ncl_colormaps_in_mpl/sunshine_9lev.rgb @@ -0,0 +1,16 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 10 + +# r g b + 255 255 255 + 255 245 204 + 255 230 112 + 255 204 51 + 255 175 51 + 255 153 51 + 255 111 51 + 255 85 0 + 230 40 30 + 200 30 20 diff --git a/ncl_colormaps_in_mpl/sunshine_diff_12lev.rgb b/ncl_colormaps_in_mpl/sunshine_diff_12lev.rgb new file mode 100644 index 0000000..646e8b4 --- /dev/null +++ b/ncl_colormaps_in_mpl/sunshine_diff_12lev.rgb @@ -0,0 +1,19 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 13 + +# r g b + 81 9 121 + 149 15 223 + 183 75 243 + 203 126 246 + 225 180 250 + 236 208 252 + 255 255 255 + 255 245 204 + 255 230 112 + 255 204 51 + 255 175 51 + 255 111 0 + 230 40 30 diff --git a/ncl_colormaps_in_mpl/t2m_29lev.rgb b/ncl_colormaps_in_mpl/t2m_29lev.rgb new file mode 100644 index 0000000..0f610f3 --- /dev/null +++ b/ncl_colormaps_in_mpl/t2m_29lev.rgb @@ -0,0 +1,36 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 30 + +# r g b + 109 227 255 + 175 240 255 + 255 196 226 + 255 153 204 + 255 0 255 + 128 0 128 + 0 0 128 + 70 70 255 + 51 102 255 + 133 162 255 + 255 255 255 + 204 204 204 + 179 179 179 + 153 153 153 + 96 96 96 + 128 128 0 + 0 92 0 + 0 128 0 + 51 153 102 + 157 213 0 + 212 255 91 + 255 255 0 + 255 184 112 + 255 153 0 + 255 102 0 + 255 0 0 + 188 75 0 + 171 0 56 + 128 0 0 + 163 112 255 diff --git a/ncl_colormaps_in_mpl/tbrAvg1.rgb b/ncl_colormaps_in_mpl/tbrAvg1.rgb new file mode 100644 index 0000000..46f8618 --- /dev/null +++ b/ncl_colormaps_in_mpl/tbrAvg1.rgb @@ -0,0 +1,102 @@ +ncolors= 100 +# r g b + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 17 0 27 + 35 0 54 + 52 0 82 + 70 0 109 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 83 10 129 + 78 20 123 + 74 30 116 + 69 40 109 + 65 50 102 + 61 60 96 + 56 70 89 + 52 80 82 + 48 90 76 + 43 99 69 + 39 109 62 + 34 119 55 + 30 129 49 + 26 139 42 + 21 149 35 + 17 159 28 + 12 169 22 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 22 183 14 + 35 187 13 + 49 192 13 + 63 196 12 + 77 200 11 + 90 204 10 + 104 209 9 + 118 213 8 + 132 217 8 + 145 221 7 + 159 225 6 + 173 230 5 + 186 234 4 + 200 238 3 + 214 242 3 + 228 247 2 + 241 251 1 + 255 255 0 + 255 255 0 + 255 237 0 + 255 219 0 + 255 200 0 + 255 182 0 + 255 164 0 + 255 146 0 + 255 128 0 + 255 109 0 + 255 91 0 + 255 73 0 + 255 55 0 + 255 36 0 + 255 18 0 + 255 0 0 + 254 7 20 + 253 13 40 + 251 20 60 + 250 27 80 + 249 33 100 + 248 40 120 + 246 47 140 + 245 53 160 + 244 60 180 + 243 67 200 + 241 73 220 + 240 80 240 + 242 102 242 + 244 124 244 + 246 146 246 + 248 168 248 + 249 189 249 + 251 211 251 + 253 233 253 + 255 255 255 diff --git a/ncl_colormaps_in_mpl/tbrStd1.rgb b/ncl_colormaps_in_mpl/tbrStd1.rgb new file mode 100644 index 0000000..409d9d9 --- /dev/null +++ b/ncl_colormaps_in_mpl/tbrStd1.rgb @@ -0,0 +1,103 @@ +ncolors= 101 +# r g b + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 10 0 15 + 19 0 30 + 29 0 45 + 39 0 60 + 48 0 76 + 58 0 91 + 68 0 106 + 77 0 121 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 82 12 128 + 76 24 120 + 71 36 112 + 66 48 104 + 61 60 96 + 55 72 88 + 50 84 80 + 45 95 71 + 40 107 63 + 34 119 55 + 29 131 47 + 24 143 39 + 19 155 31 + 13 167 23 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 30 186 14 + 53 193 12 + 75 200 11 + 98 207 10 + 120 214 8 + 143 220 7 + 165 227 5 + 188 234 4 + 210 241 3 + 233 248 1 + 255 255 0 + 255 237 0 + 255 219 0 + 255 200 0 + 255 182 0 + 255 164 0 + 255 146 0 + 255 128 0 + 255 109 0 + 255 91 0 + 255 73 0 + 255 55 0 + 255 36 0 + 255 18 0 + 255 0 0 + 255 0 0 + 255 0 0 + 250 27 80 + 245 53 160 + 240 80 240 + 243 115 243 + 246 150 246 + 249 185 249 + 252 220 252 + 255 255 255 + 255 255 255 + 255 255 255 diff --git a/ncl_colormaps_in_mpl/tbrVar1.rgb b/ncl_colormaps_in_mpl/tbrVar1.rgb new file mode 100644 index 0000000..ce0cd38 --- /dev/null +++ b/ncl_colormaps_in_mpl/tbrVar1.rgb @@ -0,0 +1,103 @@ +ncolors= 101 +# r g b + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 17 0 27 + 35 0 54 + 52 0 82 + 70 0 109 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 80 16 125 + 73 33 114 + 65 49 103 + 58 65 92 + 51 81 81 + 44 98 70 + 37 114 59 + 30 130 48 + 22 146 37 + 15 163 26 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 35 187 13 + 63 196 12 + 90 204 10 + 118 213 8 + 145 221 7 + 173 230 5 + 200 238 3 + 228 247 2 + 255 255 0 + 255 255 0 + 255 255 0 + 255 255 0 + 255 255 0 + 255 243 0 + 255 231 0 + 255 219 0 + 255 206 0 + 255 194 0 + 255 182 0 + 255 170 0 + 255 158 0 + 255 146 0 + 255 134 0 + 255 121 0 + 255 109 0 + 255 97 0 + 255 85 0 + 255 73 0 + 255 61 0 + 255 49 0 + 255 36 0 + 255 24 0 + 255 12 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 251 20 60 + 248 40 120 + 244 60 180 + 240 80 240 + 240 80 240 + 240 80 240 + 240 80 240 + 240 80 240 + 240 80 240 + 241 95 241 + 243 109 243 + 244 124 244 + 245 138 245 + 246 153 246 + 248 168 248 + 249 182 249 + 250 197 250 + 251 211 251 + 253 226 253 + 254 240 254 + 255 255 255 diff --git a/ncl_colormaps_in_mpl/tbr_240-300.rgb b/ncl_colormaps_in_mpl/tbr_240-300.rgb new file mode 100644 index 0000000..6d52214 --- /dev/null +++ b/ncl_colormaps_in_mpl/tbr_240-300.rgb @@ -0,0 +1,202 @@ +ncolors= 200 +# r g b + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 10 0 15 + 19 0 30 + 29 0 45 + 39 0 60 + 48 0 76 + 58 0 91 + 68 0 106 + 77 0 121 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 85 5 133 + 83 10 129 + 80 15 126 + 78 20 123 + 76 25 119 + 74 30 116 + 72 35 112 + 69 40 109 + 67 45 106 + 65 50 102 + 63 55 99 + 61 60 96 + 58 65 92 + 56 70 89 + 54 75 86 + 52 80 82 + 50 85 79 + 48 90 76 + 45 94 72 + 43 99 69 + 41 104 65 + 39 109 62 + 37 114 59 + 34 119 55 + 32 124 52 + 30 129 49 + 28 134 45 + 26 139 42 + 23 144 39 + 21 149 35 + 19 154 32 + 17 159 28 + 15 164 25 + 12 169 22 + 10 174 18 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 15 181 15 + 22 183 14 + 29 185 14 + 35 187 13 + 42 190 13 + 49 192 13 + 56 194 12 + 63 196 12 + 70 198 11 + 77 200 11 + 83 202 10 + 90 204 10 + 97 206 10 + 104 209 9 + 111 211 9 + 118 213 8 + 125 215 8 + 132 217 8 + 138 219 7 + 145 221 7 + 152 223 6 + 159 225 6 + 166 228 5 + 173 230 5 + 180 232 5 + 186 234 4 + 193 236 4 + 200 238 3 + 207 240 3 + 214 242 3 + 221 244 2 + 228 247 2 + 234 249 1 + 241 251 1 + 248 253 0 + 255 255 0 + 255 255 0 + 255 255 0 + 255 246 0 + 255 237 0 + 255 229 0 + 255 220 0 + 255 211 0 + 255 202 0 + 255 193 0 + 255 185 0 + 255 176 0 + 255 167 0 + 255 158 0 + 255 149 0 + 255 141 0 + 255 132 0 + 255 123 0 + 255 114 0 + 255 106 0 + 255 97 0 + 255 88 0 + 255 79 0 + 255 70 0 + 255 62 0 + 255 53 0 + 255 44 0 + 255 35 0 + 255 26 0 + 255 18 0 + 255 9 0 + 255 0 0 + 254 3 10 + 254 7 21 + 253 10 31 + 252 14 42 + 252 17 52 + 251 21 63 + 250 24 73 + 250 28 83 + 249 31 94 + 248 35 104 + 248 38 115 + 247 42 125 + 247 45 136 + 246 49 146 + 245 52 157 + 245 56 167 + 244 59 177 + 243 63 188 + 243 66 198 + 242 70 209 + 241 73 219 + 241 77 230 + 240 80 240 + 241 90 241 + 242 101 242 + 243 111 243 + 244 121 244 + 244 131 244 + 245 142 245 + 246 152 246 + 247 162 247 + 248 173 248 + 249 183 249 + 250 193 250 + 251 204 251 + 251 214 251 + 252 224 252 + 253 234 253 + 254 245 254 + 255 255 255 diff --git a/ncl_colormaps_in_mpl/tbr_stdev_0-30.rgb b/ncl_colormaps_in_mpl/tbr_stdev_0-30.rgb new file mode 100644 index 0000000..94f3227 --- /dev/null +++ b/ncl_colormaps_in_mpl/tbr_stdev_0-30.rgb @@ -0,0 +1,202 @@ +ncolors= 200 +# r g b + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 5 0 7 + 9 0 14 + 14 0 21 + 18 0 29 + 23 0 36 + 27 0 43 + 32 0 50 + 37 0 57 + 41 0 64 + 46 0 72 + 50 0 79 + 55 0 86 + 60 0 93 + 64 0 100 + 69 0 107 + 73 0 115 + 78 0 122 + 82 0 129 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 84 6 132 + 82 12 128 + 79 17 124 + 77 23 120 + 74 29 116 + 72 35 113 + 69 40 109 + 67 46 105 + 64 52 101 + 62 58 97 + 59 64 93 + 56 69 89 + 54 75 85 + 51 81 81 + 49 87 77 + 46 92 74 + 44 98 70 + 41 104 66 + 39 110 62 + 36 115 58 + 33 121 54 + 31 127 50 + 28 133 46 + 26 139 42 + 23 144 38 + 21 150 35 + 18 156 31 + 16 162 27 + 13 167 23 + 11 173 19 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 20 183 14 + 32 186 14 + 43 190 13 + 55 193 12 + 67 197 11 + 79 201 11 + 90 204 10 + 102 208 9 + 114 212 9 + 126 215 8 + 137 219 7 + 149 222 6 + 161 226 6 + 173 230 5 + 184 233 4 + 196 237 4 + 208 241 3 + 220 244 2 + 231 248 1 + 243 251 1 + 255 255 0 + 255 246 0 + 255 237 0 + 255 228 0 + 255 219 0 + 255 209 0 + 255 200 0 + 255 191 0 + 255 182 0 + 255 173 0 + 255 164 0 + 255 155 0 + 255 146 0 + 255 137 0 + 255 128 0 + 255 118 0 + 255 109 0 + 255 100 0 + 255 91 0 + 255 82 0 + 255 73 0 + 255 64 0 + 255 55 0 + 255 46 0 + 255 36 0 + 255 27 0 + 255 18 0 + 255 9 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 253 13 40 + 250 27 80 + 248 40 120 + 245 53 160 + 243 67 200 + 240 80 240 + 242 102 242 + 244 124 244 + 246 146 246 + 248 168 248 + 249 189 249 + 251 211 251 + 253 233 253 + 255 255 255 + 255 255 255 + 255 255 255 + 255 255 255 + 255 255 255 + 255 255 255 diff --git a/ncl_colormaps_in_mpl/tbr_var_0-500.rgb b/ncl_colormaps_in_mpl/tbr_var_0-500.rgb new file mode 100644 index 0000000..69af425 --- /dev/null +++ b/ncl_colormaps_in_mpl/tbr_var_0-500.rgb @@ -0,0 +1,202 @@ +ncolors= 200 +# r g b + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 9 0 14 + 17 0 27 + 26 0 41 + 35 0 54 + 44 0 68 + 52 0 82 + 61 0 95 + 70 0 109 + 78 0 122 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 87 0 136 + 83 9 130 + 79 17 124 + 76 26 119 + 72 34 113 + 68 43 107 + 64 51 101 + 61 60 96 + 57 68 90 + 53 77 84 + 49 85 78 + 46 94 73 + 42 102 67 + 38 111 61 + 34 119 55 + 31 128 50 + 27 136 44 + 23 145 38 + 19 153 32 + 16 162 27 + 12 170 21 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 8 179 15 + 21 183 14 + 34 187 13 + 47 191 13 + 60 195 12 + 73 199 11 + 86 203 10 + 99 207 9 + 112 211 9 + 125 215 8 + 138 219 7 + 151 223 6 + 164 227 6 + 177 231 5 + 190 235 4 + 203 239 3 + 216 243 2 + 229 247 2 + 242 251 1 + 255 255 0 + 255 255 0 + 255 255 0 + 255 255 0 + 255 255 0 + 255 255 0 + 255 255 0 + 255 255 0 + 255 255 0 + 255 249 0 + 255 243 0 + 255 237 0 + 255 231 0 + 255 225 0 + 255 219 0 + 255 213 0 + 255 206 0 + 255 200 0 + 255 194 0 + 255 188 0 + 255 182 0 + 255 176 0 + 255 170 0 + 255 164 0 + 255 158 0 + 255 152 0 + 255 146 0 + 255 140 0 + 255 134 0 + 255 128 0 + 255 121 0 + 255 115 0 + 255 109 0 + 255 103 0 + 255 97 0 + 255 91 0 + 255 85 0 + 255 79 0 + 255 73 0 + 255 67 0 + 255 61 0 + 255 55 0 + 255 49 0 + 255 43 0 + 255 36 0 + 255 30 0 + 255 24 0 + 255 18 0 + 255 12 0 + 255 6 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 255 0 0 + 254 8 24 + 252 16 48 + 251 24 72 + 249 32 96 + 248 40 120 + 246 48 144 + 245 56 168 + 243 64 192 + 242 72 216 + 240 80 240 + 240 80 240 + 240 80 240 + 240 80 240 + 240 80 240 + 240 80 240 + 240 80 240 + 240 80 240 + 240 80 240 + 240 80 240 + 241 87 241 + 241 95 241 + 242 102 242 + 243 109 243 + 243 116 243 + 244 124 244 + 244 131 244 + 245 138 245 + 246 146 246 + 246 153 246 + 247 160 247 + 248 168 248 + 248 175 248 + 249 182 249 + 249 189 249 + 250 197 250 + 251 204 251 + 251 211 251 + 252 219 252 + 253 226 253 + 253 233 253 + 254 240 254 + 254 248 254 + 255 255 255 diff --git a/ncl_colormaps_in_mpl/temp1.rgb b/ncl_colormaps_in_mpl/temp1.rgb new file mode 100644 index 0000000..0d88057 --- /dev/null +++ b/ncl_colormaps_in_mpl/temp1.rgb @@ -0,0 +1,63 @@ +ncolors = 61 +# r g b + 0.700 0.700 0.700 + 0.650 0.650 0.700 + 0.610 0.600 0.700 + 0.550 0.550 0.700 + 0.560 0.500 0.700 + 0.450 0.450 0.700 + 0.420 0.400 0.700 + 0.350 0.350 0.700 + 0.300 0.300 0.700 + 0.250 0.250 0.700 + 0.200 0.200 0.700 + 0.150 0.150 0.700 + 0.100 0.100 0.700 + 0.050 0.050 0.700 + 0.000 0.000 0.700 + 0.000 0.050 0.700 + 0.000 0.100 0.700 + 0.000 0.150 0.700 + 0.000 0.200 0.700 + 0.000 0.250 0.700 + 0.000 0.300 0.700 + 0.000 0.350 0.700 + 0.000 0.400 0.700 + 0.000 0.450 0.600 + 0.000 0.500 0.500 + 0.000 0.550 0.400 + 0.000 0.600 0.300 + 0.000 0.650 0.200 + 0.000 0.700 0.100 + 0.000 0.725 0.000 + 0.000 0.690 0.000 + 0.030 0.685 0.000 + 0.060 0.680 0.000 + 0.100 0.575 0.000 + 0.130 0.570 0.000 + 0.160 0.565 0.000 + 0.550 0.550 0.000 + 0.555 0.545 0.000 + 0.560 0.530 0.000 + 0.565 0.485 0.000 + 0.570 0.420 0.000 + 0.675 0.375 0.000 + 0.680 0.330 0.000 + 0.690 0.300 0.000 + 0.700 0.285 0.000 + 0.700 0.270 0.000 + 0.700 0.260 0.000 + 0.700 0.240 0.000 + 0.700 0.180 0.000 + 0.700 0.130 0.000 + 0.700 0.120 0.000 + 0.700 0.100 0.000 + 0.700 0.090 0.000 + 0.750 0.090 0.000 + 0.800 0.090 0.000 + 0.830 0.070 0.000 + 0.870 0.050 0.000 + 0.900 0.030 0.000 + 0.950 0.010 0.000 + 0.990 0.000 0.000 + 1.000 0.000 0.000 diff --git a/ncl_colormaps_in_mpl/temp_19lev.rgb b/ncl_colormaps_in_mpl/temp_19lev.rgb new file mode 100644 index 0000000..6009dbe --- /dev/null +++ b/ncl_colormaps_in_mpl/temp_19lev.rgb @@ -0,0 +1,26 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 20 + +# r g b + 7 30 70 + 7 47 107 + 8 82 156 + 33 113 181 + 66 146 199 + 90 160 205 + 120 191 214 + 170 220 230 + 219 245 255 + 240 252 255 + 255 240 245 + 255 224 224 + 252 187 170 + 252 146 114 + 251 106 74 + 240 60 43 + 204 24 30 + 166 15 20 + 120 10 15 + 95 0 0 diff --git a/ncl_colormaps_in_mpl/temp_diff_18lev.rgb b/ncl_colormaps_in_mpl/temp_diff_18lev.rgb new file mode 100644 index 0000000..cb3352b --- /dev/null +++ b/ncl_colormaps_in_mpl/temp_diff_18lev.rgb @@ -0,0 +1,25 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 19 + +# r g b + 7 30 70 + 7 47 107 + 8 87 156 + 33 113 181 + 66 146 199 + 90 160 205 + 120 191 214 + 170 220 230 + 219 245 255 + 255 255 255 + 255 224 224 + 252 187 170 + 252 146 114 + 251 106 74 + 240 60 43 + 204 24 30 + 166 15 20 + 120 10 15 + 95 0 0 diff --git a/ncl_colormaps_in_mpl/temp_diff_1lev.rgb b/ncl_colormaps_in_mpl/temp_diff_1lev.rgb new file mode 100644 index 0000000..e3211fe --- /dev/null +++ b/ncl_colormaps_in_mpl/temp_diff_1lev.rgb @@ -0,0 +1,8 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 2 + +# r g b + 240 60 43 + 33 113 181 diff --git a/ncl_colormaps_in_mpl/testcmap.rgb b/ncl_colormaps_in_mpl/testcmap.rgb new file mode 100644 index 0000000..ec1b54b --- /dev/null +++ b/ncl_colormaps_in_mpl/testcmap.rgb @@ -0,0 +1,203 @@ +# number of colors in table +ncolors = 199 + +# r g b +87 0 136 +84 0 140 +82 0 143 +79 0 147 +76 0 150 +74 0 154 +71 0 158 +69 0 161 +66 0 165 +63 0 168 +61 0 172 +58 0 176 +55 0 179 +53 0 183 +50 0 186 +47 0 190 +45 0 194 +42 0 197 +40 0 201 +37 0 205 +34 0 208 +32 0 212 +29 0 215 +26 0 219 +24 0 223 +21 0 226 +18 0 230 +16 0 233 +13 0 237 +11 0 241 +8 0 244 +5 0 248 +3 0 251 +0 0 255 +0 5 248 +0 11 240 +1 16 233 +1 22 226 +1 27 219 +1 33 211 +2 38 204 +2 43 197 +2 49 190 +2 54 182 +3 60 175 +3 65 168 +3 71 160 +3 76 153 +4 81 146 +4 87 139 +4 92 131 +4 98 124 +5 103 117 +5 108 110 +5 114 102 +5 119 95 +6 125 88 +6 130 80 +6 136 73 +6 141 66 +7 146 59 +7 152 51 +7 157 44 +7 163 37 +8 168 30 +8 174 22 +8 179 15 +15 181 22 +23 184 30 +30 186 37 +38 188 44 +45 191 51 +53 193 59 +60 195 66 +68 197 73 +75 200 80 +83 202 88 +90 204 95 +98 207 102 +105 209 110 +113 211 117 +120 214 124 +128 216 131 +135 218 139 +143 220 146 +150 223 153 +158 225 160 +165 227 168 +173 230 175 +180 232 182 +188 234 190 +195 237 197 +203 239 204 +210 241 211 +218 243 219 +225 246 226 +233 248 233 +240 250 240 +248 253 248 +255 255 255 +255 255 247 +255 255 240 +255 255 232 +255 255 224 +255 255 216 +255 255 209 +255 255 201 +255 255 193 +255 255 185 +255 255 178 +255 255 170 +255 255 162 +255 255 155 +255 255 147 +255 255 139 +255 255 131 +255 255 124 +255 255 116 +255 255 108 +255 255 100 +255 255 93 +255 255 85 +255 255 77 +255 255 70 +255 255 62 +255 255 54 +255 255 46 +255 255 39 +255 255 31 +255 255 23 +255 255 15 +255 255 8 +255 255 0 +255 252 0 +255 250 0 +255 247 0 +255 244 0 +255 241 0 +255 239 0 +255 236 0 +255 233 0 +255 230 0 +255 228 0 +255 225 0 +255 222 0 +255 220 0 +255 217 0 +255 214 0 +255 211 0 +255 209 0 +255 206 0 +255 203 0 +255 200 0 +255 198 0 +255 195 0 +255 192 0 +255 190 0 +255 187 0 +255 184 0 +255 181 0 +255 179 0 +255 176 0 +255 173 0 +255 170 0 +255 168 0 +255 165 0 +255 160 0 +255 155 0 +255 150 0 +255 145 0 +255 140 0 +255 135 0 +255 130 0 +255 125 0 +255 120 0 +255 115 0 +255 110 0 +255 105 0 +255 100 0 +255 95 0 +255 90 0 +255 85 0 +255 80 0 +255 75 0 +255 70 0 +255 65 0 +255 60 0 +255 55 0 +255 50 0 +255 45 0 +255 40 0 +255 35 0 +255 30 0 +255 25 0 +255 20 0 +255 15 0 +255 10 0 +255 5 0 +255 0 0 diff --git a/ncl_colormaps_in_mpl/thelix.rgb b/ncl_colormaps_in_mpl/thelix.rgb new file mode 100644 index 0000000..12abefc --- /dev/null +++ b/ncl_colormaps_in_mpl/thelix.rgb @@ -0,0 +1,258 @@ +# number of colors in table +ncolors = 254 + +# r g b +1 1 0 +2 1 0 +3 2 0 +4 2 0 +5 3 0 +6 4 0 +7 4 0 +7 5 0 +8 6 0 +9 6 0 +10 7 0 +10 8 0 +11 9 0 +12 10 0 +12 11 0 +13 11 0 +14 12 0 +14 13 0 +15 14 0 +15 15 0 +16 16 0 +16 17 0 +17 18 0 +17 19 0 +18 20 0 +18 21 0 +18 22 0 +19 23 0 +19 25 0 +19 26 0 +20 27 0 +20 28 0 +20 29 0 +20 30 0 +20 31 1 +21 33 1 +21 34 1 +21 35 1 +21 36 2 +21 37 2 +21 39 2 +21 40 2 +21 41 3 +21 42 3 +21 43 4 +21 44 4 +20 46 4 +20 47 5 +20 48 5 +20 49 6 +20 50 7 +19 52 7 +19 53 8 +19 54 8 +18 55 9 +18 56 10 +18 57 10 +17 58 11 +17 59 12 +17 60 13 +16 61 14 +16 62 15 +16 63 15 +15 64 16 +15 65 17 +14 66 18 +14 67 19 +13 68 21 +13 69 22 +12 70 23 +12 71 24 +11 72 25 +11 72 26 +10 73 28 +10 74 29 +9 75 30 +9 75 32 +8 76 33 +8 76 34 +7 77 36 +7 78 37 +6 78 39 +6 79 40 +5 79 42 +5 79 43 +4 80 45 +4 80 46 +4 80 48 +3 81 50 +3 81 51 +2 81 53 +2 81 55 +2 81 56 +1 81 58 +1 81 60 +1 81 62 +1 81 63 +0 81 65 +0 81 67 +0 81 69 +0 81 71 +0 81 73 +0 80 74 +0 80 76 +0 80 78 +0 79 80 +0 79 82 +0 79 84 +0 78 86 +0 77 88 +0 77 90 +0 76 91 +0 76 93 +1 75 95 +1 74 97 +1 74 99 +2 73 101 +2 72 103 +3 71 105 +3 70 106 +4 69 108 +4 69 110 +5 68 112 +6 67 114 +6 66 115 +7 65 117 +8 64 119 +9 62 121 +10 61 122 +11 60 124 +12 59 126 +13 58 127 +14 57 129 +15 55 130 +16 54 132 +18 53 133 +19 52 135 +20 50 136 +22 49 138 +23 48 139 +25 47 140 +26 45 142 +28 44 143 +29 43 144 +31 41 145 +33 40 146 +34 39 147 +36 37 148 +38 36 149 +40 35 150 +42 33 151 +44 32 152 +46 31 153 +48 29 154 +50 28 154 +52 27 155 +54 25 156 +57 24 156 +59 23 157 +61 22 157 +63 20 158 +66 19 158 +68 18 158 +71 17 158 +73 16 159 +75 15 159 +78 14 159 +81 13 159 +83 12 159 +86 11 159 +88 10 159 +91 9 158 +94 8 158 +96 7 158 +99 6 157 +102 5 157 +104 5 156 +107 4 156 +110 3 155 +113 3 155 +115 2 154 +118 2 153 +121 1 152 +124 1 151 +127 1 150 +129 0 149 +132 0 148 +135 0 147 +138 0 146 +141 0 145 +143 0 143 +146 0 142 +149 0 141 +152 0 139 +155 0 138 +157 0 136 +160 1 135 +163 1 133 +165 1 132 +168 2 130 +171 3 128 +173 3 126 +176 4 125 +179 5 123 +181 6 121 +184 6 119 +186 7 117 +188 8 115 +191 10 113 +193 11 111 +196 12 109 +198 13 107 +200 15 105 +202 16 103 +204 18 100 +206 19 98 +209 21 96 +211 23 94 +212 24 92 +214 26 89 +216 28 87 +218 30 85 +220 32 83 +221 34 80 +223 37 78 +224 39 76 +226 41 73 +227 44 71 +229 46 69 +230 48 66 +231 51 64 +232 54 62 +233 56 60 +234 59 57 +235 62 55 +236 65 53 +237 68 51 +238 71 49 +238 74 46 +239 77 44 +240 80 42 +240 83 40 +240 86 38 +241 89 36 +241 93 34 +241 96 32 +241 99 30 +241 103 28 +241 106 27 +241 110 25 +240 113 23 +240 117 21 +239 120 20 +239 124 18 diff --git a/ncl_colormaps_in_mpl/topo_15lev.rgb b/ncl_colormaps_in_mpl/topo_15lev.rgb new file mode 100644 index 0000000..858cbda --- /dev/null +++ b/ncl_colormaps_in_mpl/topo_15lev.rgb @@ -0,0 +1,22 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 16 + +# r g b + 40 54 154 + 0 201 50 + 30 211 104 + 94 224 116 + 162 235 130 + 223 248 146 + 246 229 149 + 200 178 118 + 162 126 94 + 143 97 84 + 162 125 116 + 178 150 139 + 199 176 170 + 219 205 202 + 236 228 226 + 255 255 255 diff --git a/ncl_colormaps_in_mpl/uniform.rgb b/ncl_colormaps_in_mpl/uniform.rgb new file mode 100644 index 0000000..18b98f6 --- /dev/null +++ b/ncl_colormaps_in_mpl/uniform.rgb @@ -0,0 +1,175 @@ +ncolors = 173 +# r g b + 0.7500 1.0000 1.0000 + 0.5000 1.0000 1.0000 + 0.2500 1.0000 1.0000 + 0.0000 1.0000 1.0000 + 1.0000 0.8333 1.0000 + 0.7500 0.8333 1.0000 + 0.5000 0.8333 1.0000 + 0.2500 0.8333 1.0000 + 0.0000 0.8333 1.0000 + 1.0000 0.6667 1.0000 + 0.7500 0.6667 1.0000 + 0.5000 0.6667 1.0000 + 0.2500 0.6667 1.0000 + 0.0000 0.6667 1.0000 + 1.0000 0.5000 1.0000 + 0.7500 0.5000 1.0000 + 0.5000 0.5000 1.0000 + 0.2500 0.5000 1.0000 + 0.0000 0.5000 1.0000 + 1.0000 0.3333 1.0000 + 0.7500 0.3333 1.0000 + 0.5000 0.3333 1.0000 + 0.2500 0.3333 1.0000 + 0.0000 0.3333 1.0000 + 1.0000 0.1667 1.0000 + 0.7500 0.1667 1.0000 + 0.5000 0.1667 1.0000 + 0.2500 0.1667 1.0000 + 0.0000 0.1667 1.0000 + 1.0000 0.0000 1.0000 + 0.7500 0.0000 1.0000 + 0.5000 0.0000 1.0000 + 0.2500 0.0000 1.0000 + 0.0000 0.0000 1.0000 + 1.0000 1.0000 0.2500 + 0.7500 1.0000 0.2500 + 0.5000 1.0000 0.2500 + 0.2500 1.0000 0.2500 + 0.0000 1.0000 0.2500 + 1.0000 0.8333 0.2500 + 0.7500 0.8333 0.2500 + 0.5000 0.8333 0.2500 + 0.2500 0.8333 0.2500 + 0.0000 0.8333 0.2500 + 1.0000 0.6667 0.2500 + 0.7500 0.6667 0.2500 + 0.5000 0.6667 0.2500 + 0.2500 0.6667 0.2500 + 0.0000 0.6667 0.2500 + 1.0000 0.5000 0.2500 + 0.7500 0.5000 0.2500 + 0.5000 0.5000 0.2500 + 0.2500 0.5000 0.2500 + 0.0000 0.5000 0.2500 + 1.0000 0.3333 0.2500 + 0.7500 0.3333 0.2500 + 0.5000 0.3333 0.2500 + 0.2500 0.3333 0.2500 + 0.0000 0.3333 0.2500 + 1.0000 0.1667 0.2500 + 0.7500 0.1667 0.2500 + 0.5000 0.1667 0.2500 + 0.2500 0.1667 0.2500 + 0.0000 0.1667 0.2500 + 1.0000 0.0000 0.2500 + 0.7500 0.0000 0.2500 + 0.5000 0.0000 0.2500 + 0.2500 0.0000 0.2500 + 0.0000 0.0000 0.2500 + 1.0000 1.0000 0.5000 + 0.7500 1.0000 0.5000 + 0.5000 1.0000 0.5000 + 0.2500 1.0000 0.5000 + 0.0000 1.0000 0.5000 + 1.0000 0.8333 0.5000 + 0.7500 0.8333 0.5000 + 0.5000 0.8333 0.5000 + 0.2500 0.8333 0.5000 + 0.0000 0.8333 0.5000 + 1.0000 0.6667 0.5000 + 0.7500 0.6667 0.5000 + 0.5000 0.6667 0.5000 + 0.2500 0.6667 0.5000 + 0.0000 0.6667 0.5000 + 1.0000 0.5000 0.5000 + 0.7500 0.5000 0.5000 + 0.5000 0.5000 0.5000 + 0.2500 0.5000 0.5000 + 0.0000 0.5000 0.5000 + 1.0000 0.3333 0.5000 + 0.7500 0.3333 0.5000 + 0.5000 0.3333 0.5000 + 0.2500 0.3333 0.5000 + 0.0000 0.3333 0.5000 + 1.0000 0.1667 0.5000 + 0.7500 0.1667 0.5000 + 0.5000 0.1667 0.5000 + 0.2500 0.1667 0.5000 + 0.0000 0.1667 0.5000 + 1.0000 0.0000 0.5000 + 0.7500 0.0000 0.5000 + 0.5000 0.0000 0.5000 + 0.2500 0.0000 0.5000 + 0.0000 0.0000 0.5000 + 1.0000 1.0000 0.7500 + 0.7500 1.0000 0.7500 + 0.5000 1.0000 0.7500 + 0.2500 1.0000 0.7500 + 0.0000 1.0000 0.7500 + 1.0000 0.8333 0.7500 + 0.7500 0.8333 0.7500 + 0.5000 0.8333 0.7500 + 0.2500 0.8333 0.7500 + 0.0000 0.8333 0.7500 + 1.0000 0.6667 0.7500 + 0.7500 0.6667 0.7500 + 0.5000 0.6667 0.7500 + 0.2500 0.6667 0.7500 + 0.0000 0.6667 0.7500 + 1.0000 0.5000 0.7500 + 0.7500 0.5000 0.7500 + 0.5000 0.5000 0.7500 + 0.2500 0.5000 0.7500 + 0.0000 0.5000 0.7500 + 1.0000 0.3333 0.7500 + 0.7500 0.3333 0.7500 + 0.5000 0.3333 0.7500 + 0.2500 0.3333 0.7500 + 0.0000 0.3333 0.7500 + 1.0000 0.1667 0.7500 + 0.7500 0.1667 0.7500 + 0.5000 0.1667 0.7500 + 0.2500 0.1667 0.7500 + 0.0000 0.1667 0.7500 + 1.0000 0.0000 0.7500 + 0.7500 0.0000 0.7500 + 0.5000 0.0000 0.7500 + 0.2500 0.0000 0.7500 + 0.0000 0.0000 0.7500 + 1.0000 1.0000 0.0000 + 0.7500 1.0000 0.0000 + 0.5000 1.0000 0.0000 + 0.2500 1.0000 0.0000 + 0.0000 1.0000 0.0000 + 1.0000 0.8333 0.0000 + 0.7500 0.8333 0.0000 + 0.5000 0.8333 0.0000 + 0.2500 0.8333 0.0000 + 0.0000 0.8333 0.0000 + 1.0000 0.6667 0.0000 + 0.7500 0.6667 0.0000 + 0.5000 0.6667 0.0000 + 0.2500 0.6667 0.0000 + 0.0000 0.6667 0.0000 + 1.0000 0.5000 0.0000 + 0.7500 0.5000 0.0000 + 0.5000 0.5000 0.0000 + 0.2500 0.5000 0.0000 + 0.0000 0.5000 0.0000 + 1.0000 0.3333 0.0000 + 0.7500 0.3333 0.0000 + 0.5000 0.3333 0.0000 + 0.2500 0.3333 0.0000 + 0.0000 0.3333 0.0000 + 1.0000 0.1667 0.0000 + 0.7500 0.1667 0.0000 + 0.5000 0.1667 0.0000 + 0.2500 0.1667 0.0000 + 0.0000 0.1667 0.0000 + 1.0000 0.0000 0.0000 + 0.7500 0.0000 0.0000 + 0.5000 0.0000 0.0000 + 0.2500 0.0000 0.0000 diff --git a/ncl_colormaps_in_mpl/vegetation_ClarkU.rgb b/ncl_colormaps_in_mpl/vegetation_ClarkU.rgb new file mode 100644 index 0000000..5a2a49c --- /dev/null +++ b/ncl_colormaps_in_mpl/vegetation_ClarkU.rgb @@ -0,0 +1,258 @@ +ncolors = 256 +# R G B + 0 0 0 + 15 5 9 + 31 10 18 + 46 15 27 + 62 21 37 + 77 26 46 + 93 31 55 + 108 36 64 + 112 37 62 + 115 38 61 + 119 39 59 + 123 40 58 + 127 40 56 + 131 41 55 + 134 42 53 + 138 43 52 + 142 44 50 + 144 45 46 + 147 45 43 + 149 46 40 + 151 46 37 + 154 46 34 + 156 47 31 + 158 47 28 + 160 47 25 + 163 48 22 + 165 48 19 + 167 48 15 + 170 49 12 + 172 49 9 + 174 49 6 + 177 50 3 + 179 50 0 + 181 52 0 + 182 53 0 + 184 55 0 + 185 56 0 + 187 58 0 + 189 59 0 + 190 61 0 + 192 62 0 + 193 64 0 + 195 66 0 + 197 67 0 + 198 69 0 + 200 70 0 + 201 72 0 + 203 73 0 + 204 75 0 + 206 77 0 + 208 78 0 + 209 80 0 + 211 81 0 + 212 83 0 + 214 84 0 + 216 86 0 + 217 88 0 + 219 89 0 + 220 91 0 + 222 92 0 + 224 94 0 + 225 95 0 + 227 97 0 + 228 98 0 + 230 100 0 + 230 102 2 + 231 105 4 + 231 107 6 + 232 110 8 + 232 112 10 + 232 115 12 + 233 117 14 + 233 119 16 + 234 122 18 + 234 124 20 + 234 127 21 + 235 129 23 + 235 131 25 + 235 134 27 + 236 136 29 + 236 139 31 + 237 141 33 + 237 144 35 + 237 146 37 + 238 148 39 + 238 151 41 + 239 153 43 + 239 156 45 + 239 158 47 + 240 161 49 + 240 163 51 + 241 165 53 + 241 168 55 + 241 170 57 + 242 173 59 + 242 175 61 + 242 178 62 + 243 180 64 + 243 182 66 + 244 185 68 + 244 187 70 + 244 190 72 + 245 192 74 + 245 194 76 + 246 197 78 + 246 199 80 + 246 202 82 + 247 204 84 + 247 207 86 + 248 209 88 + 248 211 90 + 248 214 92 + 249 216 94 + 249 219 96 + 250 221 98 + 250 224 100 + 250 226 102 + 251 228 104 + 251 231 105 + 251 233 107 + 252 236 109 + 252 238 111 + 253 240 113 + 253 243 115 + 253 245 117 + 254 248 119 + 254 250 121 + 255 253 123 + 255 255 125 + 251 253 123 + 247 251 121 + 243 249 119 + 239 247 117 + 235 245 115 + 231 243 113 + 227 241 111 + 223 239 109 + 219 237 107 + 215 235 105 + 211 233 104 + 207 231 102 + 203 229 100 + 199 227 98 + 195 225 96 + 191 223 94 + 187 221 92 + 183 219 90 + 179 217 88 + 175 215 86 + 171 213 84 + 167 211 82 + 163 209 80 + 159 207 78 + 155 205 76 + 151 203 74 + 147 201 72 + 143 199 70 + 139 197 68 + 135 195 66 + 131 193 64 + 128 192 62 + 124 190 61 + 120 188 59 + 116 186 57 + 112 184 55 + 108 182 53 + 104 180 51 + 100 178 49 + 96 176 47 + 92 174 45 + 88 172 43 + 84 170 41 + 80 168 39 + 76 166 37 + 72 164 35 + 68 162 33 + 64 160 31 + 60 158 29 + 56 156 27 + 52 154 25 + 48 152 23 + 44 150 21 + 40 148 20 + 36 146 18 + 32 144 16 + 28 142 14 + 24 140 12 + 20 138 10 + 16 136 8 + 12 134 6 + 8 132 4 + 4 130 2 + 4 129 3 + 5 128 4 + 5 127 5 + 5 126 6 + 6 125 6 + 6 124 7 + 6 123 8 + 7 122 9 + 7 121 10 + 7 120 11 + 8 119 12 + 8 118 12 + 8 117 13 + 9 116 14 + 9 115 15 + 10 114 16 + 10 113 17 + 10 112 18 + 11 111 19 + 11 110 20 + 11 109 20 + 12 108 21 + 12 107 22 + 12 106 23 + 13 105 24 + 13 104 25 + 13 103 26 + 14 102 26 + 14 101 27 + 14 100 28 + 15 99 29 + 15 98 30 + 16 96 32 + 17 94 34 + 18 92 36 + 19 90 38 + 20 88 40 + 21 86 42 + 22 84 44 + 23 82 46 + 24 79 49 + 25 77 51 + 26 75 53 + 27 73 55 + 28 71 57 + 29 69 59 + 30 67 61 + 31 65 63 + 32 64 64 + 32 63 65 + 32 62 66 + 33 61 67 + 34 60 68 + 34 59 69 + 34 58 70 + 35 57 71 + 36 56 72 + 36 55 73 + 36 54 74 + 37 53 75 + 38 52 76 + 38 51 77 + 38 50 78 + 39 49 79 diff --git a/ncl_colormaps_in_mpl/vegetation_modis.rgb b/ncl_colormaps_in_mpl/vegetation_modis.rgb new file mode 100644 index 0000000..0e75bfd --- /dev/null +++ b/ncl_colormaps_in_mpl/vegetation_modis.rgb @@ -0,0 +1,23 @@ +ncolors = 21 +# R G B + 128 128 128 + 225 0 0 + 225 125 0 + 225 170 0 + 255 225 0 + 255 255 0 + 170 255 0 + 85 255 0 + 0 225 0 + 0 190 0 + 0 160 0 + 0 135 0 + 0 100 0 + 0 80 0 + 180 255 255 + 0 255 255 + 0 200 255 + 0 170 255 + 0 135 255 + 0 80 255 + 0 0 255 diff --git a/ncl_colormaps_in_mpl/wgne15.rgb b/ncl_colormaps_in_mpl/wgne15.rgb new file mode 100644 index 0000000..0ed564e --- /dev/null +++ b/ncl_colormaps_in_mpl/wgne15.rgb @@ -0,0 +1,17 @@ +ncolors= 15 +# r g b +160 32 240 +0 0 180 +60 100 230 +120 155 242 +176 224 230 +46 139 87 +100 225 0 +210 255 47 +245 230 190 +222 184 135 +255 225 0 +255 165 0 +255 69 0 +150 34 34 +255 105 180 diff --git a/ncl_colormaps_in_mpl/wh-bl-gr-ye-re.rgb b/ncl_colormaps_in_mpl/wh-bl-gr-ye-re.rgb new file mode 100644 index 0000000..d3d0950 --- /dev/null +++ b/ncl_colormaps_in_mpl/wh-bl-gr-ye-re.rgb @@ -0,0 +1,202 @@ +ncolors= 199 + +# r g b + 255 255 255 + 250 250 255 + 245 245 255 + 240 240 255 + 235 235 255 + 230 230 255 + 224 224 255 + 219 219 255 + 214 214 255 + 209 209 255 + 204 204 255 + 199 199 255 + 194 194 255 + 189 189 255 + 184 184 255 + 179 179 255 + 173 173 255 + 168 168 255 + 163 163 255 + 158 158 255 + 153 153 255 + 148 148 255 + 143 143 255 + 138 138 255 + 133 133 255 + 128 128 255 + 122 122 255 + 117 117 255 + 112 112 255 + 107 107 255 + 102 102 255 + 97 97 255 + 92 92 255 + 87 87 255 + 82 82 255 + 77 77 255 + 71 71 255 + 66 66 255 + 61 61 255 + 56 56 255 + 51 51 255 + 46 46 255 + 41 41 255 + 36 36 255 + 31 31 255 + 26 26 255 + 20 20 255 + 15 15 255 + 10 10 255 + 5 5 255 + 0 0 255 + 0 4 250 + 0 7 245 + 0 11 240 + 1 15 235 + 1 18 231 + 1 22 226 + 1 26 221 + 1 29 216 + 1 33 211 + 2 37 206 + 2 40 201 + 2 44 196 + 2 47 191 + 2 51 186 + 2 55 182 + 3 58 177 + 3 62 172 + 3 66 167 + 3 69 162 + 3 73 157 + 3 77 152 + 4 80 147 + 4 84 142 + 4 88 137 + 4 91 133 + 4 95 128 + 4 99 123 + 5 102 118 + 5 106 113 + 5 110 108 + 5 113 103 + 5 117 98 + 5 121 93 + 6 124 88 + 6 128 84 + 6 132 79 + 6 135 74 + 6 139 69 + 6 142 64 + 7 146 59 + 7 150 54 + 7 153 49 + 7 157 44 + 7 161 39 + 7 164 35 + 8 168 30 + 8 172 25 + 8 175 20 + 8 179 15 + 13 181 15 + 18 182 14 + 23 184 14 + 28 185 14 + 33 187 14 + 38 188 13 + 43 190 13 + 48 191 13 + 52 193 12 + 57 194 12 + 62 196 12 + 67 197 11 + 72 199 11 + 77 200 11 + 82 202 11 + 87 203 10 + 92 205 10 + 97 206 10 + 102 208 9 + 107 209 9 + 112 211 9 + 117 212 8 + 122 214 8 + 127 215 8 + 132 217 8 + 136 219 7 + 141 220 7 + 146 222 7 + 151 223 6 + 156 225 6 + 161 226 6 + 166 228 5 + 171 229 5 + 176 231 5 + 181 232 5 + 186 234 4 + 191 235 4 + 196 237 4 + 201 238 3 + 206 240 3 + 211 241 3 + 215 243 2 + 220 244 2 + 225 246 2 + 230 247 2 + 235 249 1 + 240 250 1 + 245 252 1 + 250 253 0 + 255 255 0 + 255 250 0 + 255 245 0 + 255 239 0 + 255 234 0 + 255 229 0 + 255 224 0 + 255 219 0 + 255 213 0 + 255 208 0 + 255 203 0 + 255 198 0 + 255 193 0 + 255 187 0 + 255 182 0 + 255 177 0 + 255 172 0 + 255 167 0 + 255 161 0 + 255 156 0 + 255 151 0 + 255 146 0 + 255 141 0 + 255 135 0 + 255 130 0 + 255 125 0 + 255 120 0 + 255 114 0 + 255 109 0 + 255 104 0 + 255 99 0 + 255 94 0 + 255 88 0 + 255 83 0 + 255 78 0 + 255 73 0 + 255 68 0 + 255 62 0 + 255 57 0 + 255 52 0 + 255 47 0 + 255 42 0 + 255 36 0 + 255 31 0 + 255 26 0 + 255 21 0 + 255 16 0 + 255 10 0 + 255 5 0 + 255 0 0 diff --git a/ncl_colormaps_in_mpl/wind_17lev.rgb b/ncl_colormaps_in_mpl/wind_17lev.rgb new file mode 100644 index 0000000..fea6765 --- /dev/null +++ b/ncl_colormaps_in_mpl/wind_17lev.rgb @@ -0,0 +1,24 @@ +# Converted from MeteoSwiss NCL library + +# number of colors in table +ncolors = 18 + +# r g b + 255 255 255 + 239 244 209 + 232 244 158 + 170 206 99 + 226 237 22 + 255 237 0 + 255 237 130 + 244 209 127 + 237 165 73 + 229 140 61 + 219 124 61 + 239 7 61 + 232 86 163 + 155 112 168 + 99 112 247 + 127 150 255 + 142 178 255 + 181 201 255 diff --git a/ncl_colormaps_in_mpl/wxpEnIR.rgb b/ncl_colormaps_in_mpl/wxpEnIR.rgb new file mode 100644 index 0000000..15e07bb --- /dev/null +++ b/ncl_colormaps_in_mpl/wxpEnIR.rgb @@ -0,0 +1,102 @@ +ncolors= 100 +# r g b + 255 255 0 + 255 255 0 + 255 255 0 + 255 255 0 + 255 255 0 + 255 255 0 + 255 255 0 + 255 255 0 + 100 50 25 + 100 50 25 + 100 50 25 + 100 50 25 + 0 255 0 + 0 255 0 + 0 255 0 + 0 255 0 + 0 255 0 + 0 128 0 + 0 128 0 + 0 128 0 + 0 128 0 + 0 128 0 + 0 0 128 + 0 0 128 + 0 0 128 + 0 0 128 + 0 0 255 + 0 0 255 + 0 0 255 + 0 0 255 + 0 0 255 + 0 255 255 + 0 255 255 + 0 255 255 + 0 255 255 + 0 255 255 + 0 255 255 + 0 255 255 + 0 255 255 + 0 255 255 + 0 128 128 + 0 128 128 + 0 128 128 + 0 128 128 + 0 128 128 + 0 128 128 + 0 128 128 + 0 128 128 + 0 128 128 + 205 205 205 + 201 201 201 + 197 197 197 + 193 193 193 + 189 189 189 + 185 185 185 + 180 180 180 + 176 176 176 + 172 172 172 + 168 168 168 + 164 164 164 + 160 160 160 + 156 156 156 + 152 152 152 + 148 148 148 + 144 144 144 + 139 139 139 + 135 135 135 + 131 131 131 + 127 127 127 + 123 123 123 + 119 119 119 + 115 115 115 + 111 111 111 + 107 107 107 + 103 103 103 + 98 98 98 + 94 94 94 + 90 90 90 + 86 86 86 + 82 82 82 + 78 78 78 + 74 74 74 + 70 70 70 + 66 66 66 + 62 62 62 + 57 57 57 + 53 53 53 + 49 49 49 + 45 45 45 + 41 41 41 + 37 37 37 + 33 33 33 + 29 29 29 + 25 25 25 + 21 21 21 + 16 16 16 + 12 12 12 + 8 8 8 + 4 4 4 + 0 0 0