* Return maximum of values in a DataFrame across specified axis. * @param options.axis 0 or 1. If 0, compute the maximum column-wise, if 1, row-wise. Defaults to 1 * @example * ``` * const df = new DataFrame([[1, 2], [3, 4]], { columns: ['A', 'B']}) * df.max().print() *
(options?: { axis?: 0 | 1 })
| 976 | * ``` |
| 977 | */ |
| 978 | max(options?: { axis?: 0 | 1 }): Series { |
| 979 | const { axis } = { axis: 1, ...options } |
| 980 | |
| 981 | if (this.$frameIsNotCompactibleForArithmeticOperation()) { |
| 982 | throw Error("TypeError: max operation is not supported for string dtypes"); |
| 983 | } |
| 984 | |
| 985 | if ([0, 1].indexOf(axis) === -1) { |
| 986 | throw Error("ParamError: Axis must be 0 or 1"); |
| 987 | } |
| 988 | |
| 989 | const newData = this.$getDataByAxisWithMissingValuesRemoved(axis) |
| 990 | |
| 991 | const resultArr = newData.map(arr => { |
| 992 | let biggestValue = arr[0] |
| 993 | for (let i = 0; i < arr.length; i++) { |
| 994 | biggestValue = biggestValue > arr[i] ? biggestValue : arr[i] |
| 995 | } |
| 996 | return biggestValue |
| 997 | }) |
| 998 | if (axis === 0) { |
| 999 | return new Series(resultArr, { index: this.columns }); |
| 1000 | } else { |
| 1001 | return new Series(resultArr, { index: this.index }); |
| 1002 | } |
| 1003 | |
| 1004 | } |
| 1005 | |
| 1006 | /** |
| 1007 | * Return standard deviation of values in a DataFrame across specified axis. |
nothing calls this directly
no test coverage detected