Tools for Planet Four data analysis.
Project description
Planet Four Tools
Tools for Planet Four data reduction and analysis.
Free software: MIT license
Documentation: https://p4tools.readthedocs.io.
Installation
conda install -c michaelaye planetfour-catalog
pip install p4tools
Features
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 IDs
These 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
Updating
To update p4tools do
pip install -U p4tools
To update the catalog, first you need to get new download links by doing
conda update -c michaelaye planetfour-catalog
and 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.
Credits
This package was created with Cookiecutter and the forked michaelaye/cookiecutter-pypackage-conda project template.
History
0.1.0 (2018-11-23)
First release on PyPI.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for p4tools-0.8.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 125b34fc0ebb653279781229a949254163ffb6c92b1834baa828b1a7a7481dd0 |
|
MD5 | b23524acf9224e28b8f30ff4126d7046 |
|
BLAKE2b-256 | 922f019cda898ad27f7cf1a39976253287c6de59eb3476b3db0e8c3aa884f323 |