grd2cpt − Read a grdfile and make a color palette file


grd2cpt grdfile [ −Ccptmaster ] [ −D ] [ −Enlevels ] [ −I ] [ −Lminlimit/maxlimit ] [ −N ] [ −Q[i|o] ] [ −Rw/e/s/n ] [ −Szstart/zstop/zinc ] [ −V ] [ −Z ]


grd2cpt reads a grdfile and writes a color palette (cpt) file to standard output. The cpt file is based on an existing master cptfile of your choice, and the mapping from data value to colors is through the data’s cumulative distribution function (CDF), so that the colors are histogram equalized. Thus if the resulting cpt file is used with the grdfile and grdimage with a linear projection, the colors will be uniformly distributed in area on the plot. Let z be the data values in the grdfile. Define CDF(Z) = (# of z < Z) / (# of z in grdfile). (NaNs are ignored). These z-values are then normalized to the master cptfile and colors are sampled at the desired intervals.


The 2-D binary grdfile used to derive the color palette table.



Selects the master color table to use in the interpolation. Choose among the built-in tables (type grd2cpt to see the list) or give the name of an existing cptfile [Default gives a rainbow cpt file].


Select the color values for lowest and highest z-values in the output cpt file as the back- and foreground values that will be written to the cpt file [Default uses the GMT default values, normally black and white].


Create a linear color table by dividing the grid z-range into nlevels equidistant slices.


Reverses the sense of color progression in the master cptfile.


Limit range of cptfile to minlimit/maxlimit, and don’t count data outside range when estimating CDF(Z). [Default uses min and max of data.]


Do Not write out the background, foreground, and NaN-color fields [Default will write the parameters COLOR_BACKGROUND, COLOR_FOREGROUND, and COLOR_NAN in your .gmtdefaults4 file.


Selects a logarithmic interpolation scheme [Default is linear]. −Qi expects input z-values to be log10(z), assigns colors, and writes out z [Default]. −Qo takes log10(z) first, assigns colors, and writes out z.


xmin, xmax, ymin, and ymax specify the Region of interest. For geographic regions, these limits correspond to west, east, south, and north and you may specify them in decimal degrees or in [+-]dd:mm[][W|E|S|N] format. Append r if lower left and upper right map coordinates are given instead of wesn. The two shorthands −Rg −Rd stand for global domain (0/360 or -180/+180 in longitude respectively, with -90/+90 in latitude). For calendar time coordinates you may either give relative time (relative to the selected TIME_EPOCH and in the selected TIME_UNIT; append t to −JX|x), or absolute time of the form [date]T[clock] (append T to −JX|x). At least one of date and clock must be present; the T is always required. The date string must be of the form [-]yyyy[-mm[-dd]] (Gregorian calendar) or yyyy[-Www[-d]] (ISO week calendar), while the clock string must be of the form hh:mm:ss[.xxx]. The use of delimiters and their type and positions must be as indicated (however, input/output and plotting formats are flexible).


Set steps in cpt file. Calculate entries in cptfile from zstart to zstop in steps of (zinc). [Default chooses arbitrary values by a crazy scheme.]


Verbose operation. This will write CDF(Z) estimates to stderr. [Default is silent.]


Will create a continuous color palette. [Default is discontinuous, i.e., constant color intervals]


Sometimes you don’t want to make a cpt file (yet) but would find it helpful to know that 90% of your data lie between z1 and z2, something you cannot learn from grdinfo. So you can do this to see some points on the CDF(Z) curve (use −V option to see more):

grd2cpt mydata.grd −V > /dev/null

To make a cpt file with entries from 0 to 200 in steps of 20, and ignore data below zero in computing CDF(Z), and use the built-in master cptfile relief, run

grd2cpt mydata.grd −Crelief -L0/10000 -S0/200/20 > mydata.cpt


gmtdefaults(l), GMT(l), grdhisteq(l), grdinfo(l), makecpt(l)