Class Series

src/danfojs-base/core/series.ts:50–2191

 * @param options.config General configuration object for extending or setting Series behavior.      
 */
export default class Series extends NDframe implements SeriesInterface {

    constructor(data: any = [], options: BaseDataOptionType = {}) {
        const { index, columns, dtypes, config } = options;
        if (Array.isArray(data[0]) || utils.isObject(data[0])) {
            data = utils.convert2DArrayToSeriesArray(data);
            super({
                data,
                index,
                columns,
                dtypes,
                config,
                isSeries: true
            });
        } else {
            super({
                data,
                index,
                columns,
                dtypes,
                config,
                isSeries: true
            });
        }
    }

    /**
    * Purely integer-location based indexing for selection by position.
    * ``.iloc`` is primarily integer position based (from ``0`` to
    * ``length-1`` of the axis), but may also be used with a boolean array.
    * 
    * @param rows Array of row indexes
    *  
    * Allowed inputs are in rows and columns params are:
    * 
    * - An array of single integer, e.g. ``[5]``.
    * - A list or array of integers, e.g. ``[4, 3, 0]``.
    * - A slice array string with ints, e.g. ``["1:7"]``.
    * - A boolean array.
    * - A ``callable`` function with one argument (the calling Series or
    * DataFrame) and that returns valid output for indexing (one of the above).
    * This is useful in method chains, when you don't have a reference to the
    * calling object, but would like to base your selection on some value.
    * 
    * ``.iloc`` will raise ``IndexError`` if a requested indexer is
    * out-of-bounds.
    * 
    * @example
    * ```
    * const sf = new Series([1, 2, 3, 4, 5, 6], { index: ['a', 'b', 'c', 'd', 'e', 'f'] });
    * const sf2 = sf.iloc([0, 2, 4]);
    * sf2.print();
    * ```
    */
    iloc(rows: Array<string | number | boolean>): Series {
        return _iloc({ ndFrame: this, rows }) as Series
    }