Awesome
ncmaps
ncmaps brings scientific colormaps to ncview.
ncview is a legacy, light-weight netcdf viewer that is still in wide use in the geosciences community.
One of the weak points of ncview is its colormaps (e.g. jet), in particular the lack of scientific (aka perceptually uniform) colormaps.
ncmap adds scientific colormaps to the configuration path of ncview, so that your data can be displayed using viridis, inferno, cmocean, and more.
Examples
Viridis (Matplotlib)
Thermal (cmocean)
Oslo (cmcrameri)
Installation
There are two ways for getting ncview
to use the scientific colormaps:
Option 1: (recommended, easiest)
git clone
this repo somewhere in your HOME;- Define (export) a shell environment variable to the sub-directory
ncmaps/
:export NCVIEWBASE=</path/to/local/ncmaps/copy>/ncmaps/
. - Copy
ncmaps/.ncviewrc
to your HOME:cp </path/to/local/ncmaps/copy>/ncmaps/.ncviewrc ${HOME}
.
For example: export NCVIEWBASE=/home/tomlav/software/ncmaps/ncmaps/
(note ncmaps
twice) and cp /home/tomlav/software/ncmaps/ncmaps/.ncviewrc /home/tomlav/
.
You should add the export to your .profile
.
Option 2: (for developers)
- Fetch this repo from github;
- Run
python3 write_ncmaps
in the terminal; - Define (export) a shell environment variable:
export NCVIEWBASE=${HOME}/.ncmaps
; - Copy
${HOME}/.ncmaps/.ncviewrc
to your HOME:cp ${HOME}/.ncmaps/.ncviewrc ${HOME}/
.
Here again, you should put the export
command in your .profile
.
In both cases, new colormaps should be available next time you run ncview
.
Supported colormaps
ncmaps harvests scientific colormaps from the following python modules:
If you choose Option 2 above, these modules must be installed and accessible to your your python implementation
(e.g. via pip or conda) before running write_ncmaps
. This might require activating a virtualenv.
Installing the colormaps modules is not required if you choose Option 1 above.
Notes about ncview
-
The most widely available version of
ncview
(Ncview 2.1.8 David W. Pierce 8 March 2017) has a bug in the way it loads the colormaps. This bug limits the number of colormaps we can prepare to a maximum of 79. When triggered, the bug results in ncview refusing to launch withError, too many colormaps -- max is 200
. Should this happen to you, try to: delete your.ncviewrc
file (in your HOME). If it persists, fetch a new version of this repo. This bug is the reason why we do not support additional colormaps (e.g.cmasher
). -
ncview
offers a way to enable, disable, and re-order the colormaps (see buttonOpts
). The configuration is saved into the.ncviewrc
file in your HOME. The.ncviewrc
file we provide in this package a) disables all the "legacy" colormaps ofncview
and b) orders the colormaps by name (alphabetic). Using our.ncviewrc
file will overwrite your own preferences. You can start from our.ncviewrc
file and further customize your colormaps.
Authors
Thomas Lavergne, Norwegian Meteorological Institute
Sam Hatfield, European Centre for Medium-Range Weather Forecasts
(ncmaps expands https://github.com/samhatfield/ncview-scientific-colour-maps)