hdc-colors

This repository contains the color-ramp sources for all* data from the HumanitarianDataCube (HDC), along with some thin python code for user / system interface.

Installation

# mamba/conda
mamba install -c wfp-ram hdc-colors

# pip
pip install --extra-index-url=https://data.earthobservation.vam.wfp.org/pypi/ hdc-colors

Important

The main purpose of this repo is to contain the color source, keeping the dependencies minimal. To install all dependencies that might be required for users, please use extras install hdc-colors[all].

Available color ramps

To see a table with all available color ramps, check out the rendered markdown!

Alternatively, the following table can be directly generated using hdc-colors by running hdc-colors-table.

To inspect the color ramps for a specific category, you can add the category name to the call (note the lowercase):

hdc-colors-table rainfall

and all color ramps for the category will be visualized in the console.

To look at one or more specific ramps, you can add one or more --filer / -f flags:

hdc-colors-table rainfall -f rxs

Usage example

Note

To run this example, you need the matplotlib package installed (comes with hdc-colors[all])

import matplotib.pyplot as plt
import rioxarray

from hdc.colors.rainfall import rxs

# load raster and drop time dim
x = rioxarray.open_rasterio(
    "https://data.earthobservation.vam.wfp.org/docs-data/spi/ethr1s202303d3.tif",
    mask_and_scale=True,
).squeeze()


# need to set min/max and levels but exclude last one (which is inf)
x.plot.imshow(cmap=rxs.cmap, vmin=-2000, vmax=2000, levels=rxs.vals[:-1], extend="both")

# set title
plt.title("Ethiopia SPI-1 ending on the 31st of March, 2023")