csv
CSV parsing plus a small dataframe-style toolkit
Use csv for CSV parsing, writing, and table-style transforms over arrays of row objects.
import "osl/csv"Example
import "osl/csv"
array rows = csv.parse("name,age\nAda,36")
log rows[0]["name"]API reference
csv
csvcsv.parse(data: any)
array
Parses input data.
csv.parseRaw(data: any)
array
Parses raw.
csv.stringify(data: object)
string
Serialises a value to text.
csv.stringifyRows(data: array)
string
Runs the stringify rows operation.
csv.stringifyArray(data: array)
string
Runs the stringify array operation.
csv.readFile(path: any)
array
Reads file.
csv.readFileRaw(path: any)
array
Reads file raw.
csv.writeFile(path: any, data: object)
boolean
Writes file.
csv.writeFileRows(path: any, data: array)
boolean
Writes file rows.
csv.writeFileArray(path: any, data: array)
boolean
Writes file array.
csv.toRows(data: array)
array
Converts to rows.
csv.fromRows(rows: array)
array
Creates from rows.
csv.getColumn(data: array, column: any)
array
Returns column.
csv.filter(data: array, fn: any)
array
Returns values accepted by a callback.
csv.mapRows(data: array, fn: any)
array
Runs the map rows operation.
csv.reduce(data: array, initial: any, fn: any)
any
Reduces values with a callback.
csv.groupBy(data: array, key: any)
map[string]array
Runs the group by operation.
csv.sortBy(data: array, key: any)
array
Runs the sort by operation.
csv.sortByNum(data: array, key: any)
array
Runs the sort by num operation.
csv.aggregate(data: array, key: any, value: any, fn: any)
object
Runs the aggregate operation.
csv.count(data: array, key: any)
object
Runs the count operation.
csv.unique(data: array, key: any)
array
Runs the unique operation.
csv.join(data1: array, data2: array, key: any)
array
Runs the join operation.
csv.pivot(data: array, keyColumn: any, valueColumn: any, pivotColumn: any)
map[string]object
Runs the pivot operation.
csv.transpose(data: array)
array
Runs the transpose operation.
csv.stats(data: array, key: any)
object
Returns usage statistics.
csv.merge(data1: array, data2: array)
array
Runs the merge operation.
csv.chunk(data: array, size: any)
array
Runs the chunk operation.
csv.flatten(data: array, separator: any)
array
Runs the flatten operation.
csv.sample(data: array, count: any)
array
Runs the sample operation.
csv.appendRow(data: array, row: object)
array
Runs the append row operation.
csv.prependRow(data: array, row: object)
array
Runs the prepend row operation.
csv.insertRow(data: array, index: any, row: object)
array
Runs the insert row operation.
csv.deleteRow(data: array, index: any)
array
Deletes row.
csv.addColumn(data: array, column: any, defaultValue: any)
array
Adds column.
csv.removeColumn(data: array, column: any)
array
Removes column.
csv.renameColumn(data: array, oldColumn: any, newColumn: any)
array
Runs the rename column operation.
Notes
Standard-library imports accept both
import "osl/csv"andimport "csv".Return values such as
arrayandobjectare regular OSL values unless a returned object section says otherwise.
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