HyperSpectral

class typhon.datasets.dataset.HyperSpectral(name=None, **kwargs)[source]

Superclass for any hyperspectral instrument

__init__(**kwargs)

Initialise a Dataset object.

All keyword arguments will be translated into attributes. Does not take positional arguments.

Note that if you create a dataset with a name that already exists, the existing object is returned, but __init__ is still called (Python does this, see https://docs.python.org/3.7/reference/datamodel.html#object.__new__).

Methods

`__init__`(**kwargs)	Initialise a Dataset object.
`as_xarray_dataset`()
`combine`(my_data, other_obj[, other_data, ...])	Combine with data from other dataset.
`find_granules`([start, end, include_last_before])	Loop through all granules for indicated period.
`find_granules_sorted`([start, end])	Yield all granules sorted by starting time then ending time.
`find_most_recent_granule_before`(instant, ...)	Find granule covering instant
`get_additional_field`(M, fld)	Get additional field.
`read`([f, fields, pseudo_fields])	Read granule in file and do some other fixes
`read_period`([start, end, onerror, fields, ...])	Read all granules between start and end, in bulk.
`setlocal`()	Set local attributes, from config or otherwise.

Attributes