Exploring methods to index and search tree-structured key:value pairs via named-entity index (key paths) as opposed to Position-based indexing.
Using
Ruleaskey->valuecauses difficulties forCases, which is unfortunate sinceRulecould be combined withReplaceAllto yield lightweight path queries.Using
Listas{key,value}works but too many parentheses are visually confusing especially in data fusion tasks where multiple datasets are imported separately but must be joined and indexed properly for subsequent analysis.Using
Equalprevents the key from being a string, eg"key1" = value1 --> "Set::setraw : Cannot assign to raw object key1"
Why does Cases interpret Colon shortcut (key:value_) differently than Colon[key,value_]?
dataR (* for comparison *)
Out[110]= {row1 -> {key1 -> value1, key2 -> value2}, row2 -> {key1 -> value3, key2 -> value4}} In[69]:= dataC = dataR /. Rule -> Colon Out[69]= {row1 \[Colon] {key1 \[Colon] value1, key2 \[Colon] value2}, row2 \[Colon] {key1 \[Colon] value3, key2 \[Colon] value4}} Then, using Cases:
In[113]:= Cases[dataC, Colon[row1 , v_] -> v] Out[113]= {{key1 \[Colon] value1, key2 \[Colon] value2}} In[114]:= Cases[dataC, (row1 : v_) -> v] Out[114]= {row1 \[Colon] {key1 \[Colon] value1, key2 \[Colon] value2}, row2 \[Colon] {key1 \[Colon] value3, key2 \[Colon] value4}} Levelspec can be specified to match the inner keys, eg key2 at Level 3.
Is there a more convenient syntax or method to rapidly restructure arbitrary tree-shaped data? XPath and XQuery, are W3C standards that could be adapted or improved. In particular, XQuery strikes me as being similar in flexibility as Cases in the ability to match and transform data. I've posed similar questions to Wolfram Tech Support. Has been suggested for implementation.