threeML.utils.photometry.photometric_observation module

class threeML.utils.photometry.photometric_observation.PhotometericObservation(band_names: List[str], ab_magnitudes: Iterable[float], ab_magnitude_errors: Iterable[float])

Bases: object

classmethod from_dict(data: dict) → PhotometericObservation

Create an observation from a dict in the form data = dict(a=(mag, mag_err), b=(mag, mag_err))

classmethod from_hdf5(file_name: str) → PhotometericObservation

Load an observation from an hdf5 file

classmethod from_kwargs(**kwargs: dict) → PhotometericObservation

Create an observation from a kwargs in the form (a=(mag, mag_err), b=(mag, mag_err))

get_mask_from_filter_sequence(filter_set: FilterSequence) → Iterable[bool]

is_compatible_with_filter_set(filter_set: FilterSet | FilterSequence) → bool

items()

keys()

to_hdf5(file_name: str, overwrite: bool = False) → None

Save the data to an HDF5 file