readCsvText

DataFrame readCsvText(const(char)[]  text,  Schema schema,
       CsvReadPolicy policy =  CsvReadPolicy.init)

Reads a frame from CSV text with an explicit schema.

Parameters

`text`	the CSV text
`schema`	the expected columns (by name when `policy.hasHeader`, by position otherwise)
`policy`	the reading policy

Returns

the frame, one chunk per chunkRows rows.

Throws

DataFrameException with the line on any violation, including

unparsable numbers, unknown header names and short rows.

fnDataFrame readCsvText(const(char)[] text, CsvInferPolicy policy)

Reads a frame from CSV text with an inferred schema (ADR-2026-10-24-19): inferCsvSchema composes the schema (full-scan by default, finite sample opt-in, overrides per column), then the existing reader parses every row under strict field counts. Any cell that is not a member of its column's kind errors with the canonical first-error line, the column name, the cell text and the kind - late data never widens the schema. The explicit-schema overload keeps its behaviour unchanged.

Parameters

`text`	the CSV text
`policy`	the inference policy

Returns

the frame, one chunk per read.chunkRows rows.

Throws

DataFrameException on any inference or parse violation; a

sampled read appends the sample size to a parse failure.

Example:

auto df = readCsvText("i,f\n1,0.5\n2,1.5\n", CsvInferPolicy.init);
assert(df.height() == 2);
assert(df["f"].toArray!double() == [0.5, 1.5]);