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.
Author
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)
- netcdf4 (1.5.3)
- numpy (1.18.1)
- pandas (1.0.3)
- pyyaml (5.3.1)
- scikit-learn (0.22.1)
- 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 netcdf4 numpy pandas pyyaml scikit-learn xarray
source activate ${YOUR_ENV_NAME}
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