skretrieval.retrieval.measvec.MeasurementVector

class skretrieval.retrieval.measvec.MeasurementVector(fn: Callable, apply_to_filter='*', sample_fn=None)

Bases: object

A class that represents a measurement vector. This is a callable object that can be used to transform L1 data to a measurement vector.

Parameters:

• fn (Callable) – Function which takes in L1 data and returns a Measurement object

• apply_to_filter (str, optional) – Only L1 data matching the apply_to_filter will be affected by this measurement vector, by default “*”

__init__(fn: Callable, apply_to_filter='*', sample_fn=None)

A class that represents a measurement vector. This is a callable object that can be used to transform L1 data to a measurement vector.

Parameters:

• fn (Callable) – Function which takes in L1 data and returns a Measurement object

• apply_to_filter (str, optional) – Only L1 data matching the apply_to_filter will be affected by this measurement vector, by default “*”

Methods

__init__(fn[, apply_to_filter, sample_fn])	A class that represents a measurement vector.
apply(l1_data[, ctxt])	Applies the function to the l1 data, returning back a Measurement object
required_sample_wavelengths(obs_samples)	Determines which sample wavelengths are required for this measurement vector

Attributes

enabled
filter
fn

apply(l1_data: dict[RadianceGridded], ctxt: dict | None = None) → Measurement

Applies the function to the l1 data, returning back a Measurement object

Parameters:

l1_data (dict[RadianceGridded])

Return type:

Measurement

required_sample_wavelengths(obs_samples: dict[array]) → dict[array]

Determines which sample wavelengths are required for this measurement vector

Default is to just return back all of the observation wavelengths

Parameters:

obs_samples (dict[np.array])

Return type:

dict[np.array]