* Return number of non-null elements in a Series * @param options.axis 0 or 1. If 0, count column-wise, if 1, add row-wise. Defaults to 1 * @example * ``` * const df = new DataFrame([[1, 2], [3, 4]], { columns: ['A', 'B']}) * df.count().print() * ``` * * @exa
(options?: { axis?: 0 | 1 })
| 1305 | * ``` |
| 1306 | */ |
| 1307 | count(options?: { axis?: 0 | 1 }): Series { |
| 1308 | const { axis } = { axis: 1, ...options } |
| 1309 | |
| 1310 | if ([0, 1].indexOf(axis) === -1) { |
| 1311 | throw Error("ParamError: Axis must be 0 or 1"); |
| 1312 | } |
| 1313 | |
| 1314 | const newData = this.$getDataByAxisWithMissingValuesRemoved(axis) |
| 1315 | const resultArr = newData.map(arr => arr.length) |
| 1316 | if (axis === 0) { |
| 1317 | return new Series(resultArr, { index: this.columns }); |
| 1318 | } else { |
| 1319 | return new Series(resultArr, { index: this.index }); |
| 1320 | } |
| 1321 | |
| 1322 | } |
| 1323 | |
| 1324 | /** |
| 1325 | * Return the sum of values across an axis. |
nothing calls this directly
no test coverage detected