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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}

Project details


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