* Return median of DataFrame across specified axis. * @param options.axis 0 or 1. If 0, compute the median column-wise, if 1, row-wise. Defaults to 1 * @example * ``` * const df = new DataFrame([[1, 2, 4], [3, 4, 5], [6, 7, 8]], { columns: ['A', 'B', 'C'] }); * df.median().p
(options?: { axis?: 0 | 1 })
| 857 | * ``` |
| 858 | */ |
| 859 | median(options?: { axis?: 0 | 1 }): Series { |
| 860 | const { axis } = { axis: 1, ...options } |
| 861 | |
| 862 | if (this.$frameIsNotCompactibleForArithmeticOperation()) { |
| 863 | throw Error("TypeError: median operation is not supported for string dtypes"); |
| 864 | } |
| 865 | |
| 866 | if ([0, 1].indexOf(axis) === -1) { |
| 867 | throw Error("ParamError: Axis must be 0 or 1"); |
| 868 | } |
| 869 | |
| 870 | const newData = this.$getDataByAxisWithMissingValuesRemoved(axis) |
| 871 | const resultArr = newData.map(arr => median(arr)) |
| 872 | if (axis === 0) { |
| 873 | return new Series(resultArr, { index: this.columns }); |
| 874 | } else { |
| 875 | return new Series(resultArr, { index: this.index }); |
| 876 | } |
| 877 | |
| 878 | } |
| 879 | |
| 880 | /** |
| 881 | * Return mode of DataFrame across specified axis. |
nothing calls this directly
no test coverage detected