Serialize a dict containing a value with uncertainties and/or Pint (or astropy.units) and complex values to JSON, then read it from JSON back to the same types. Handle datetimes, complex values, and categoricals
"CSVW: CSV on the Web" https://github.com/jazzband/tablib/issues/305
7 Columnar metadata header rows for a CSV: column label, property URI, datatype, quantity/unit, accuracy, precision, significant figures https://wrdrd.github.io/docs/consulting/linkedreproducibilit...
CSV on the Web: A Primer > 6. Advanced Use > 6.1 How do you support units of measure? https://www.w3.org/TR/tabular-data-primer/#units-of-measure
You can specify units in a CSVW file with QUDT, an RDFS schema and vocabulary for Quantities, Units, Dimensions, and Types
Schema.org has StructuredValue and rdfs:subPropertyOf like QuantitativeValue and QuantitativeValueDistribution: https://schema.org/StructuredValue
There are linked data schema for units, and there are various in-code in-RAM typed primitive and compound type serialization libraries for various programming languages; but they're not integrated, so we're unable to share data with units between apps and fall back to CSVW.
There are zero-copy solutions for sharing variables between cells of e.g. a polyglot notebook with input cells written in more than one programing language without reshaping or serializing.
But both the mp-units and this lighter weight Rust approach would at least make you write that down in the software. There's some chance the mistake is realised, whereas when it's just an organisational assumption that just doesn't happen.