Function derive_dataframe_row 

pub fn derive_dataframe_row(input: DeriveInput) -> Result<TokenStream>

Derive DataFrameRow: generates a companion DataFrame type with collection fields.

Requirements

For structs: the type must implement IntoList. For enums: all variants must have named fields.

Generated Items

For a struct Measurement { time: f64, value: f64 }:

• Struct MeasurementDataFrame { time: Vec<f64>, value: Vec<f64> }
• impl IntoDataFrame for MeasurementDataFrame
• impl From<Vec<Measurement>> for MeasurementDataFrame
• impl IntoIterator for MeasurementDataFrame
• Associated methods on Measurement:
  • to_dataframe(Vec<Self>) -> MeasurementDataFrame
  • from_dataframe(MeasurementDataFrame) -> Vec<Self>

For an enum:

• Companion struct with Vec<Option<T>> columns (field-name union)
• Optional tag column for variant discrimination
• impl From<Vec<Enum>> for EnumDataFrame
• impl IntoDataFrame for EnumDataFrame
• Associated to_dataframe method

Attributes

• #[dataframe(name = "CustomName")] — Custom companion type name
• #[dataframe(align)] — Enum alignment mode (accepted but implicit)
• #[dataframe(tag = "col")] — Add variant discriminator column

Both struct and enum companion types get from_rows() (sequential) and from_rows_par() (parallel, #[cfg(feature = "rayon")]) methods automatically.