Method sample

src/danfojs-base/core/frame.ts:578–591

* Gets n number of random rows in a dataframe. Sample is reproducible if seed is provided. * @param num The number of rows to return. Default to 5. * @param options.seed An integer specifying the random seed that will be used to create the distribution. * @example * ``` * co

(num = 5, options?: { seed?: number })

     * ```
    */
    async sample(num = 5, options?: { seed?: number }): Promise<DataFrame> {
        const { seed } = { seed: 1, ...options }

        if (num > this.shape[0]) {
            throw new Error("ParamError: Sample size cannot be bigger than number of rows");
        }
        if (num <= 0) {
            throw new Error("ParamError: Sample size cannot be less than 1");
        }

        const shuffledIndex = await tensorflow.data.array(this.index).shuffle(num, `${seed}`).take(num).toArray();
        const df = this.iloc({ rows: shuffledIndex });
        return df;
    }

    /**
     * Return Addition of DataFrame and other, element-wise (binary operator add).