oceans.colormaps

class oceans.colormaps.Bunch(**kw)

Bases: dict

oceans.colormaps.avhrr_cm(m=256)

AHVRR colormap used by NOAA Coastwatch.

oceans.colormaps.cmat2cmpl(rgb, reverse=False)

Convert RGB matplotlib colormap.

oceans.colormaps.ctopo_pos_neg_cm(m=256)

Colormap for positive/negative data with gray scale only original from cushman-roisin book cd-rom.

oceans.colormaps.demo()

oceans.colormaps.get_color(color)

https://stackoverflow.com/questions/10254207/color-and-line-writing-using-matplotlib

oceans.colormaps.load_cmap(fname)

oceans.colormaps.phasemap_cm(m=256)

Colormap periodic/circular data (phase).

oceans.colormaps.zebra_cm(a=4, m=0.5, n=256)

Zebra palette colormap with NBANDS broad bands and NENTRIES rows in the color map.

The default is 4 broad bands

cmap = zebra(nbands, nentries)

References

Hooker, S. B. et al, Detecting Dipole Ring Separatrices with Zebra Palettes, IEEE Transactions on Geosciences and Remote Sensing, vol. 33, 1306-1312, 1995

Notes

Saturation and value go from m to 1 don’t use m = 0. a = 4 -> there are this many large bands in the palette.