Multidimensional labeled arrays and datasets in Python, similar to xarray.
Project description
luts.py
Multidimensional labeled arrays and datasets in Python. This module provides objects whose design is close to xarray.
Provides the following objects:
- LUT (look-up table): a multidimensional array with labeled axes.
The equivalent of this object in xarray is
xarray.DataArray - MLUT (multi-look-up table): a set of LUTs
The equivalent of this object in xarray is
xarray.Dataset
Installation
It can be installed in your current python environment, using one of the commands:
$ conda install -c conda-forge luts
$ pip install luts
$ # using a git repository
$ pip install git+https://github.com/hygeos/luts.git
$ # using a directory
$ pip install luts/ # or in editable mode: `pip install -e luts/`
Note: installing with pip requires to have hdf4 and hdf5 to be installed on your system.
Testing
$ pytest tests
Project details
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file luts-1.0.6.tar.gz.
File metadata
- Download URL: luts-1.0.6.tar.gz
- Upload date:
- Size: 32.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2a96c685c31c4567bb164cd846ab5344d8e42a582c04826da1170e0832368466
|
|
| MD5 |
970d90c077211f40daf0ed6a0927a514
|
|
| BLAKE2b-256 |
0a7a5be9e21fa84dbb8187dbcbbca1682122c8676b2f902b33e8c9db826fa764
|
File details
Details for the file luts-1.0.6-py3-none-any.whl.
File metadata
- Download URL: luts-1.0.6-py3-none-any.whl
- Upload date:
- Size: 27.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7a9ff377f342830866aafec28648ba27160119883c7277c036fa99a7982a6097
|
|
| MD5 |
8ae9644785948ea86ac44b88f38a222b
|
|
| BLAKE2b-256 |
26ca1c86c21462132c29f6390ab8ad8c0dc00cb755cbdad818af402da929463a
|