merge_packed_time_series#

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 (pandas.DataFrame) – packed data frame containing the desired data

  • base_field (str) – Base field name that will be expanded to query all vector entries.

  • stride (int, optional) – Only use every stride value when unpacking. Must be a factor of the number of packed values. (1 by default)

  • ref_timestamp_col (str, optional) – Name of the field name to use to assign timestamps to unpacked vector fields (default is ‘cRIO_timestamp’).

  • fmt (str, optional) – Format to give to the astropy.time.Time constructor. Defaults to ‘unix_tai’ since most internal timestamp columns are in TAI.

  • scale (str, optional) – Time scale to give to the astropy.time.Time constructor. Defaults to ‘tai’.

Returns:

result – A pandas.DataFrame containing the results of the query.

Return type:

pandas.DataFrame