NXTensor is a tensor making framework based on Xarray. It automates the extraction of multichannel images (tensors) from NetCDF time series of geolocated data.
Project description
NXTensor
NXTensor is a tensor making framework based on Xarray. It automates the extraction of multichannel images (tensors) from NetCDF time series of geolocated data.
License
See LICENSE file.
Authors
- Sébastien Gardoll
Software Engineer at IPSL contact: sebastien@gardoll.fr
Requirements
- netcdf data files (all variables):
- with the same period of time covered
- with the same metadata names and properties
Direct dependencies
The tested version in parenthesis.
- Python 3.7 (3.7.7)
- Dask (2.17.2)
- H5py (2.10.0)
- Matplotlib (3.3.2)
- Netcdf4 (1.5.3)
- Numpy (1.18.1)
- Pandas (1.0.3)
- Pyyaml (5.3.1)
- Scikit-learn (0.22.1)
- Scipy (1.4.1)
- Xarray (0.15.1)
Conda dependencies installation script
YOUR_ENV_NAME='env_name'
conda create -n ${YOUR_ENV_NAME} python=3.7
conda install -n ${YOUR_ENV_NAME} dask h5py matplotlib netcdf4 numpy pandas pyyaml scikit-learn scipy xarray
conda activate ${YOUR_ENV_NAME}
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