Reference / API

Datasets

Dataset(meta[, light_curves])	A dataset of light curves.
LightCurveMetadata(meta_row)	Class to handle the metadata for a light curve in a dataset.
HDF5Dataset(path, meta)	Dataset corresponding to an HDF5 file on disk.
HDF5LightCurves(dataset)	Class to interface with light curves in an HDF5 file on disk.

Loading a dataset

from_light_curves(light_curves)	Load a dataset from a list of light curves.
from_observations(meta, observations)	Load a dataset from a table of all of the observations.
from_avocado(name, **kwargs)	Load a dataset from avocado.
read_hdf5(path[, in_memory])	Read a dataset from an HDF5 file

Manipulating light curves

parse_light_curve(light_curve[, parse_meta, ...])	Parse a light curve and convert it to lcdata format.
to_sncosmo(light_curve)	Convert an lcdata light curve to sncosmo format.
generate_object_id()	Generate a random unique object ID for a light curve.

Schemas

schema.verify_schema(schema)	Verify a schema
schema.get_default_value(schema, key[, count])	Get the default value for a key in a schema.
schema.find_alias(names, aliases)	Given a list of names, find the one that matches a list of aliases.
schema.format_table(table, schema[, verbose])	Format a table with a given schema.

Utilities

utils.download_file(url, path[, filesize])	Download a file with a tqdm progress bar.
utils.download_zenodo(record, basedir)	Download a record from Zenodo.