- lsst_efd_client.merge_packed_time_series(packed_dataframe, base_field, stride=1, ref_timestamp_col='cRIO_timestamp', fmt='unix_tai', scale='tai')¶
Select fields that are time samples and unpack them into a dataframe. Parameters ———- packed_dataframe :
packed data frame containing the desired data
Base field name that will be expanded to query all vector entries.
Only use every stride value when unpacking. Must be a factor of the number of packed values. (1 by default)
Name of the field name to use to assign timestamps to unpacked vector fields (default is ‘cRIO_timestamp’).
Format to give to the
astropy.Timeconstructor. Defaults to ‘unix_tai’ since most internal timestamp columns are in TAI.
Time scale to give to the
astropy.Timeconstructor. Defaults to ‘tai’.