merge_packed_time_series¶
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lsst_efd_client.merge_packed_time_series(packed_dataframe, base_field, stride=1, ref_timestamp_col='cRIO_timestamp', internal_time_scale='tai')¶ Select fields that are time samples and unpack them into a dataframe. Parameters ———- packed_dataframe :
pandas.DataFramepacked 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’).
- internal_time_scale :
str, optional - Time scale to use when converting times to internal formats (‘tai’ by default). Equivalent to EfdClient.internal_scale
- result :
pandas.DataFrame - A
pandas.DataFramecontaining the results of the query.
- base_field :