table

Enumeration of strategies for inferring column types when reading CSV files.

• FirstRow: Infers types by inspecting only the first row of data.
• FirstN: Infers types by inspecting the first n rows. Optionally, prefers Int over Boolean if both are possible.
• FromAllRows: Infers types by inspecting all rows in the CSV.
• StringType: Disables type inference; all columns are read as String.
• FromTuple[T]: Uses a user-supplied tuple type T for decoding, allowing custom or manual type specification.

Default header option that reads headers from the first row.

Equivalent to HeaderOptions.FromRows(merge = 1, dropFirst = 0).

Reads a CSV file from an absolute path and returns a io.github.quafadas.scautable.CsvIterator.

Example:

 val csv: CsvIterator[("colA", "colB", "colC")] = CSV.absolutePath("/absolute/path/to/file.csv")

Reads a CSV from a String and returns a io.github.quafadas.scautable.CsvIterator.

Example:

val csvContent = "colA,colB\n1,a\n2,b"
val csv: CsvIterator[("colA", "colB")] = CSV.fromString(csvContent)

Reads a CSV present in the current compiler working directory resources and returns a io.github.quafadas.scautable.CsvIterator.

Note that in most cases, this is not the same as the current runtime working directory, and you are likely to get the bloop server directory.

Hopefully, useful in almond notebooks.

Example:

 val csv: CsvIterator[("colA", "colB", "colC")] = CSV.pwd("file.csv")

Reads a CSV present in java resources and returns a io.github.quafadas.scautable.CsvIterator.

Example:

 val csv: CsvIterator[("colA", "colB", "colC")] = CSV.resource("file.csv")

Saves a URL to a local CSV returns a io.github.quafadas.scautable.CsvIterator.

Example:

 val csv: CsvIterator[("colA", "colB", "colC")] = CSV.url("https://somewhere.com/file.csv")