Class NDframe

src/danfojs-base/core/generic.ts:53–510

 * @returns NDframe
 */
export default class NDframe implements NDframeInterface {
    $isSeries: boolean;
    protected $data: any
    protected $dataIncolumnFormat: ArrayType1D | ArrayType2D = []
    protected $index: Array<string | number> = []
    protected $columns: string[] = []
    protected $dtypes: Array<string> = []
    protected $config: Configs

    constructor({ data, index, columns, dtypes, config, isSeries }: NdframeInputDataType) {
        this.$isSeries = isSeries
        if (config) {
            this.$config = new Configs({ ...BASE_CONFIG, ...config });
        } else {
            this.$config = new Configs(BASE_CONFIG);
        }

        if (data instanceof tensorflow.Tensor) {
            data = data.arraySync();
        }

        if (data === undefined || (Array.isArray(data) && data.length === 0)) {
            if (columns === undefined) columns = [];
            if (dtypes === undefined) dtypes = [];
            if (columns.length === 0 && dtypes.length !== 0) ErrorThrower.throwDtypeWithoutColumnError();
            this.loadArrayIntoNdframe({ data: [], index: [], columns: columns, dtypes: dtypes });
        } else if (utils.is1DArray(data)) {
            this.loadArrayIntoNdframe({ data, index, columns, dtypes });
        } else {
            if (Array.isArray(data) && utils.isObject(data[0])) {
                this.loadObjectIntoNdframe({ data, type: 1, index, columns, dtypes });

            } else if (utils.isObject(data)) {
                this.loadObjectIntoNdframe({ data, type: 2, index, columns, dtypes });

            } else if (
                Array.isArray((data)[0]) ||
                utils.isNumber((data)[0]) ||
                utils.isString((data)[0])
            ) {
                this.loadArrayIntoNdframe({ data, index, columns, dtypes });
            } else if (Array.isArray(data) && data.length > 0 && utils.isDate(data[0])) {
                this.loadArrayIntoNdframe({ data, index, columns, dtypes });
            } else {
                throw new Error("File format not supported!");
            }
        }
    }

    /**
     * Internal function to load array of data into NDFrame
     * @param data The array of data to load into NDFrame
     * @param index Array of numeric or string names for subsetting array.
     * @param columns Array of column names.
     * @param dtypes Array of data types for each the column.
    */
    private loadArrayIntoNdframe({ data, index, columns, dtypes }: LoadArrayDataType): void {
        // this.$data = utils.replaceUndefinedWithNaN(data, this.$isSeries);