feat(metadata): Spalten-Metadaten (CSVW) im JSON-LD (PR8)#44
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Qualifiziert tabellarische Daten vollständig: die per-Spalten-Metadaten eines DataFrame (Einheit/Label/dtype je Spalte) werden als geordnete csvw:column-Liste in den JSON-LD-/RDF-/Sidecar-Export aufgenommen. - vocab.py: csvw-Namespace + Terme columns (csvw:column, @list) und datatype (csvw:datatype). - semantic.py: column_node(attr) (Spalte -> {name, datatype(xsd), unit, label, description}); to_jsonld(columns=) ergänzt geordnete Spaltenliste; rdf_from_doc() und write_sidecar_doc() serialisieren ein vorgefertigtes Doc (mit Spalten). - sclass/dataframe.py: to_jsonld/to_turtle/write_sidecar überschrieben; Spalten in echter df-Reihenfolge (nicht alphabetisch sortiert). Tests test_semantic_columns.py. Coverage 100%.
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Qualifiziert tabellarische Daten vollständig: die per-Spalten-Metadaten eines
DataFrame(Einheit/Label/dtype je Spalte) erscheinen jetzt als geordnetecsvw:column-Liste im JSON-LD/RDF/Sidecar.Änderungen
vocab.py:csvw-Namespace + Termecolumns(csvw:column,@list) unddatatype(csvw:datatype).semantic.py:column_node(attr)→{name, datatype(xsd), unitRef/symbol, label, description};to_jsonld(columns=)ergänzt die geordnete Spaltenliste;rdf_from_doc()/write_sidecar_doc()serialisieren ein vorgefertigtes Doc.sclass/dataframe.py:to_jsonld/to_turtle/write_sidecarüberschrieben — Spalten in echter df-Reihenfolge (nicht alphabetisch).Beispiel
Tests/Coverage
tests/test_semantic_columns.py. 465 passed, 9 skipped, Coverage 100 %.