SS.Tables 1.2.0

export function appendChunk(StreamAccumulator state, double[] values, bool[] missingMask)->StreamAccumulator

export function booleanColumn(string name, bool[] values, bool[] missingMask)->TableColumn

export function column(string name, string unitLabel, double[] values, bool[] missingMask)->NumericColumn

export record ColumnarSerialization(public string schema, public int version, public string checksum, public string payload, public int rows, public int columns)

export record CsvData(public string[] headers, public string[][] rows)

export function fillLinear(NumericColumn source)->NumericColumn

export record GroupedNumeric(public string[] keys, public int[] counts, public double[] sums)

export function groupTextSum(TypedTable source, string keyName, string valueName)->GroupedNumeric

export function innerJoin(TypedTable left, TypedTable right, string leftKeyName, string rightKeyName, string rightPrefix)->TypedTable

export function integerColumn(string name, long[] values, bool[] missingMask)->TableColumn

export function numberColumn(string name, string unitLabel, double[] values, bool[] missingMask)->TableColumn

export record NumericColumn(public string name, public string unitLabel, public double[] values, public bool[] missingMask)

export record NumericSummary(public int present, public int missingCount, public double minimum, public double maximum, public double mean)

export function parseCsv(string text)->CsvData

export function parseTypedCsv(string identity, string text, string[] kinds, string[] units, string missingToken)->TypedTable

export record ScientificTable(public string identity, public int rows, public NumericColumn[] columns)

export function selectRows(ScientificTable source, bool[] keep)->ScientificTable

export function selectTypedRows(TypedTable source, bool[] keep)->TypedTable

export function serializeColumnar(TypedTable source, int version)->ColumnarSerialization

export function serializeCsv(TypedTable source)->string

export function sortTypedRows(TypedTable source, string columnName, bool ascending)->TypedTable

export function startStream()->StreamAccumulator

export record StreamAccumulator(public int count, public double sum, public double compensation, public double minimum, public double maximum)

export function streamingGroupBy(TypedTable[] chunks, string keyName, string valueName, int memoryBudgetGroups)->GroupedNumeric

export function streamingJoin(TypedTable[] leftChunks, TypedTable[] rightChunks, string leftKeyName, string rightKeyName, string rightPrefix, int memoryBudgetRows, bool ascending)->TypedTable

export function streamMean(StreamAccumulator state)->double

export function summarize(NumericColumn column)->NumericSummary

export function table(string identity, NumericColumn[] columns)->ScientificTable

export record TableColumn(public string name, public string kind, public string unitLabel, public double[] numericValues, public long[] integerValues, public string[] textValues, public bool[] booleanValues, public bool[] missingMask)

export record TableSchemaValidation(public bool compatible, public int missingValues, public int duplicateColumns, public string diagnostic)

export function textColumn(string name, string[] values, bool[] missingMask)->TableColumn

export function timeSeries(string identity, double[] time, double[] values, bool[] missingMask, string timeUnit, string valueUnit)->TimeSeries

export record TimeSeries(public string identity, public double[] time, public double[] values, public bool[] missingMask, public string timeUnit, public string valueUnit)

export function typedColumn(TypedTable source, string name)->TableColumn

export function typedColumnIndex(TypedTable source, string name)->int

export function typedTable(string identity, TableColumn[] columns)->TypedTable

export record TypedTable(public string identity, public int rows, public TableColumn[] columns)

export function validateTableSchema(TypedTable source, string[] expectedNames, string[] expectedKinds, string[] expectedUnits, string missingPolicy)->TableSchemaValidation