Crates.io | bufkit-data |
lib.rs | bufkit-data |
version | 0.23.0 |
source | src |
created_at | 2018-09-19 04:10:18.428391 |
updated_at | 2024-05-26 17:25:46.928738 |
description | A crate to manage an archive of bufkit files. |
homepage | |
repository | https://github.com/rnleach/bufkit-data.git |
max_upload_size | |
id | 85434 |
size | 2,653,186 |
Crate to manage and interface with an archive of bufkit files.
This supports a set of command line tools for utilizing the archive. In general, it may be useful to anyone interested in archiving bufkit files.
The current implementation uses an sqlite database to keep track of files stored in a common directory. The files are compressed, and so should only be accessed via the API provided by this crate.
When compiled with the pylib
feature it minimally supports access from Python. At this time it
only supports reading files from the archive.
For use with python, I recommend using a virtualenv and
maturin. Once the virtualenv is activated,
pip install maturin
and install the bufkit_data package by going into the directory
bufkit-data is cloned into and running:
maturin develop --release --strip --cargo-extra-args="--features pylib"
After this installation, you should be able to use bufkit_data
from python with:
import bufkit_data as bd
arch = bd.Archive("Path/to/my_archive")
ord = arch.id_to_station_num("kord", "nam4km")
most_recent_ord_nam = arch.most_recent(ord, "nam4km")
from datetime import datetime as dt
valid_time = dt(2020, 5, 5, 12, 0)
ord = arch.id_to_station_num("kord", "gfs")
old_ord_gfs = arch.retrieve_sounding(ord, "gfs", valid_time)
License: MIT