A file system interface (cdffs) to allow users to work with CDF Files using the fsspec supported/compatible python packages (pandas, xarray etc).
fsspec provides an abstract file system interface to work with local/cloud storages and based on the protocol name (example, s3 or abfs) provided in the path, fsspec translates the incoming requests to storage specific implementations and send the responses back to the upstream package to work with the desired data.
Refer fsspec documentation to get the list of all supported/compatible python packages.
cdffs is available on PyPI. Install using,
pip install cognite-cdffs
Important steps to follow when working with CDF Files using the fsspec supported python packages.
cdffs package from cognite import cdffs # noqa
Follow instructions from Authentication to authenticate.
Read/write the files from/to CDF using fsspec supported packages. Example,
zarr files using using xarray.ds = xarray.open_zarr("cdffs://sample_data/test.zarr")
zarr files using xarray.ds.to_zarr("cdffs://sample_data/test.zarr", storage_options={"file_metadata": metadata})
Refer cdffs.readthedocs.io for more details.
cdffs uses pydandic.v1 package using vendoring. It was mainly introduced to overcome version conflicts
related to the Cognite Notebooks.
Want to contribute? Check out CONTRIBUTING.
FAQs
File System Interface for CDF Files
We found that cognite-cdffs demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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