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Merge pull request #3012 from esdc-esac-esa-int/ESA_gaia_GAIAMNGT-1704_remove_refernce_to_datalink_combine
Gaia: delete any reference to data_structure "Combined" in the function load_data and in the documentation [ci skip]
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astroquery/gaia/core.py

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@@ -182,15 +182,12 @@ def load_data(self, ids, *, data_release=None, data_structure='INDIVIDUAL', retr
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data release from which data should be taken. E.g. 'Gaia DR3'
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By default, it takes the current default one.
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data_structure: str, optional, default 'INDIVIDUAL'
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it can be 'INDIVIDUAL', 'COMBINED', 'RAW':
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it can be 'INDIVIDUAL' or 'RAW':
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'INDIVIDUAL' means products are provided in separate files for each sourceId. All files are zipped
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in a single bundle, even if only one source/file is considered
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'COMBINED' means products are provided in a single file concatenating the data of all sourceIds together.
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How this is organised depends on the chosen format
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'RAW' means products are provided following a Data Model similar to that used in the MDB, meaning in
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particular that parameters stored as arrays will remain as such. Like in the COMBINED structure, a single
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file is provided for the data of all sourceIds together, but in this case there will be always be one
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row per sourceId
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particular that parameters stored as arrays will remain as such. A single file is provided for the data of
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all sourceIds together, but in this case there will be always be one row per sourceId
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retrieval_type : str, optional, default 'ALL' to retrieve all data from the list of sources
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retrieval type identifier. For GAIA DR2 possible values are ['EPOCH_PHOTOMETRY']
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For GAIA DR3, possible values are ['EPOCH_PHOTOMETRY', 'RVS', 'XP_CONTINUOUS', 'XP_SAMPLED',

docs/gaia/gaia.rst

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@@ -859,7 +859,7 @@ The following example shows how to retrieve the DataLink products associated wit
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.. doctest-remote-data::
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>>> retrieval_type = 'ALL' # Options are: 'EPOCH_PHOTOMETRY', 'MCMC_GSPPHOT', 'MCMC_MSC', 'XP_SAMPLED', 'XP_CONTINUOUS', 'RVS', 'ALL'
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>>> data_structure = 'COMBINED' # Options are: 'INDIVIDUAL', 'COMBINED', 'RAW'
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>>> data_structure = 'INDIVIDUAL' # Options are: 'INDIVIDUAL' or 'RAW'
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>>> data_release = 'Gaia DR3' # Options are: 'Gaia DR3' (default), 'Gaia DR2'
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>>> datalink = Gaia.load_data(ids=[2263166706630078848, 2263178457660566784, 2268372099615724288],
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... data_release=data_release, retrieval_type=retrieval_type, data_structure=data_structure)

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