est.io.io.load_data#

est.io.io.load_data(data_url: ~silx.io.url.DataUrl, name: str, dimensions: ~typing.Sequence[int], columns_names: dict | None = None, energy_unit=<Unit('electron_volt')>, timeout=1.0) → None | dict | ndarray | Spectra[source]#

Load a specific data from a url. Manage the different scheme (silx, fabio, numpy, PyMca, xraylarch)

Parameters:

  • data_url – silx DataUrl with path to the data

  • name (str) – name of the data we want to load. Should be in (‘spectra’, ‘energy’, ‘configuration’)

  • columns_names (Union[None,dict]) –

    name of the column to pick for .dat files… Expect key ‘mu’ and

    ’energy’ to be registered

Type:

DataUrl

Returns:

data loaded

Return type:

Union[None,dict,numpy.ndarray]