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
2 maintainers
Metadata
2 maintainers
Release files for luts 1.0.6
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| luts-1.0.6.tar.gz | 32.3 kB | Details |
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| luts-1.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 60.2 kB
Release files / luts-1.0.6.tar.gz
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| Size | 27.9 kB |
| Tags | Python 3 |
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