sdf_xarray

sdf_xarray#

Functions

`combine_datasets`(path_glob[, data_vars, ...])	Combine all datasets using a single time dimension, optionally extract data from only the listed data_vars
`make_time_dims`(path_glob)	Extract the distinct set of time arrays from a collection of SDF files, along with a mapping from variable names to their time dimension.
`open_dataset`(path, *[, drop_variables, ...])	Open an SDF file as a `xarray.Dataset`.
`open_datatree`(path, *[, drop_variables, ...])	Open an SDF file as a `xarray.DataTree`.
`open_mfdataset`(paths, *[, separate_times, ...])	Open a set of EPOCH SDF files as one `xarray.Dataset`.
`open_mfdatatree`(paths, *[, separate_times, ...])	Open a set of EPOCH SDF files as one `xarray.DataTree`.
`purge_unselected_data_vars`(ds, data_vars)	If the user has exclusively requested only certain variables be loaded in then we purge all other variables and dimensions
`resolve_paths`(file_pattern)	Resolve user input into sorted absolute paths to existing SDF files.

Classes

`SDFBackendArray`(variable_name, datastore, ...)	Adapater class required for lazy loading
`SDFDataStore`(manager[, drop_variables, ...])	Store for reading and writing data via the SDF library.
`SDFEntrypoint`()
`SDFPreprocess`([data_vars])	Preprocess SDF files for xarray ensuring matching job ids and sets time dimension.
`XrTUIEntrpoint`()

Modules