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In #182 , the metadata aggregation for summary vectors will be redone to make use of ecl2df's new feature for metadata
ecl2df.summary puts the needed meta-dictionary into dframe.attrs["meta"] for all summary keys returned.
ensemble.py should aggregate this metadata for all realizations and present this using the same attrs on returned dataframes.
The API get_smry_meta() will be less important, as meta is always returned.
Suggested changes to fmu.ensembles:
{realization/ensemble}.get_smry_meta() requires summary data to be preloaded, it will not go to disk to obtain requested summary data from libecl, only look through the attrs["meta"] in its internalized frameds
the column_keys argument to get_smry_meta() is dropped, as it seems unnecessary to code slicing of aggregated dictionaries on users behalf.
The text was updated successfully, but these errors were encountered:
In #182 , the metadata aggregation for summary vectors will be redone to make use of ecl2df's new feature for metadata
ecl2df.summary puts the needed meta-dictionary into
dframe.attrs["meta"]
for all summary keys returned.ensemble.py should aggregate this metadata for all realizations and present this using the same attrs on returned dataframes.
The API get_smry_meta() will be less important, as meta is always returned.
Suggested changes to fmu.ensembles:
column_keys
argument toget_smry_meta()
is dropped, as it seems unnecessary to code slicing of aggregated dictionaries on users behalf.The text was updated successfully, but these errors were encountered: