Tools for Planet Four data reduction and analysis.
- Free software: MIT license
- Documentation: https://p4tools.readthedocs.io.
conda install -c michaelaye planetfour-catalog
pip install p4tools- Provides access to the Planet Four catalog data (see Install instructions):
from p4tools import io
fans = io.get_fan_catalog()
blotches = io.get_blotch_catalog()
tile_coords = io.get_tile_coordinates()
tile_urls = io.get_tile_urls()
metadata = io.get_metadata() # data for the HiRISE images used
region_names = io.get_region_names() # informal region identifiers for observation IDsThese functions will use the intake library to download the data via the links provided inside the planetfour-catalog data. For read performance, the data is then being stored in your local storage folder that is being asked for at the first use of the io module of p4tools. These paths are being stored in $HOME/.p4tools.ini.
- Enables plotting of catalog data on top of the HiRISE image tile that was used during marking
To update p4tools do
pip install -U p4toolsTo update the catalog, first you need to get new download links by doing
conda update -c michaelaye planetfour-catalogand after that, because p4tools caches the catalog items, you need to provide the parameter update=True when using the access functions, like so:
from p4tools import io
fans = io.get_fan_catalog(update=True)which will trigger a new download.
This package was created with Cookiecutter and the forked michaelaye/cookiecutter-pypackage-conda project template.