Method dropNa

src/danfojs-base/core/frame.ts:1833–1908

(options?: { axis: 0 | 1, inplace?: boolean })

    */
    dropNa(options?: { axis: 0 | 1, inplace?: boolean }): DataFrame
    dropNa(options?: { axis: 0 | 1, inplace?: boolean }): DataFrame | void {
        const { axis, inplace } = { axis: 1, inplace: false, ...options }

        if ([0, 1].indexOf(axis) === -1) {
            throw Error("ParamError: Axis must be 0 or 1");
        }

        const newIndex: Array<number | string> = [];

        if (axis == 1) {
            const newData = [];

            const dfValues = this.values as ArrayType2D;
            for (let i = 0; i < dfValues.length; i++) {
                const values: ArrayType1D = dfValues[i];
                //@ts-ignore
                if (!values.includes(NaN) && !values.includes(undefined) && !values.includes(null)) {
                    newData.push(values);
                    newIndex.push(this.index[i])
                }
            }

            if (inplace) {
                this.$setValues(newData, false)
                this.$setIndex(newIndex)
            } else {
                return new DataFrame(
                    newData,
                    {
                        index: newIndex,
                        columns: [...this.columns],
                        dtypes: [...this.dtypes],
                        config: { ...this.config }
                    })
            }

        } else {
            const newColumnNames = []
            const newDtypes = []
            let dfValues: ArrayType2D = []

            if (this.config.isLowMemoryMode) {
                dfValues = utils.transposeArray(this.values) as ArrayType2D
            } else {
                dfValues = this.$dataIncolumnFormat as ArrayType2D
            }
            const tempColArr = []

            for (let i = 0; i < dfValues.length; i++) {
                const values: ArrayType1D = dfValues[i];
                if (!values.includes(NaN)) {
                    tempColArr.push(values);
                    newColumnNames.push(this.columns[i])
                    newDtypes.push(this.dtypes[i])
                }
            }

            const newData = utils.transposeArray(tempColArr) as ArrayType2D