(other: DataFrame | Series | number[] | number, options?: { axis?: 0 | 1, inplace?: boolean })
| 1391 | */ |
| 1392 | pctChange(other: DataFrame | Series | number[] | number, options?: { axis?: 0 | 1, inplace?: boolean }): DataFrame |
| 1393 | pctChange(other: DataFrame | Series | number[] | number, options?: { axis?: 0 | 1, inplace?: boolean }): DataFrame | void { |
| 1394 | const { inplace, axis } = { inplace: false, axis: 1, ...options } |
| 1395 | |
| 1396 | if (this.$frameIsNotCompactibleForArithmeticOperation()) { |
| 1397 | throw Error("TypeError: pctChange operation is not supported for string dtypes"); |
| 1398 | } |
| 1399 | |
| 1400 | if ([0, 1].indexOf(axis) === -1) { |
| 1401 | throw Error("ParamError: Axis must be 0 or 1"); |
| 1402 | } |
| 1403 | |
| 1404 | if (other === 0) { |
| 1405 | return this; |
| 1406 | } |
| 1407 | |
| 1408 | if (typeof other === "number") { |
| 1409 | let origDF = this.copy() as DataFrame; |
| 1410 | if (axis === 0) { |
| 1411 | origDF = origDF.T; |
| 1412 | } |
| 1413 | const originalTensor = origDF.tensor.clone(); |
| 1414 | const unit = new Array(originalTensor.shape[originalTensor.rank - 1]).fill(NaN); |
| 1415 | let pctArray: any[] = originalTensor.arraySync(); |
| 1416 | if (other > 0) { |
| 1417 | for (let i = 0; i < other; i++) { |
| 1418 | pctArray.unshift(unit); |
| 1419 | pctArray.pop(); |
| 1420 | } |
| 1421 | } |
| 1422 | else if (other < 0) { |
| 1423 | for (let i = 0; i > other; i--) { |
| 1424 | pctArray.push(unit); |
| 1425 | pctArray.shift(); |
| 1426 | } |
| 1427 | } |
| 1428 | const pctTensor = tensorflow.tensor2d(pctArray, originalTensor.shape); |
| 1429 | const pctDF = (this.$MathOps([originalTensor, pctTensor], "divNoNan", inplace) as DataFrame).sub(1); |
| 1430 | if (axis === 0) { |
| 1431 | return pctDF.T; |
| 1432 | } |
| 1433 | return pctDF; |
| 1434 | } |
| 1435 | |
| 1436 | if (other instanceof DataFrame || other instanceof Series) { |
| 1437 | const tensors = this.$getTensorsForArithmeticOperationByAxis(other, axis); |
| 1438 | const pctDF = (this.$MathOps(tensors, "divNoNan", inplace) as DataFrame).sub(1); |
| 1439 | return pctDF; |
| 1440 | } |
| 1441 | } |
| 1442 | |
| 1443 | /** |
| 1444 | * Return difference of DataFrame with other. |
nothing calls this directly
no test coverage detected