Take log base n of x. If `x` contains negative inputs, the answer is computed and returned in the complex domain. Parameters ---------- n : array_like The integer base(s) in which the log is taken. x : array_like The value(s) whose log base `n` is (are) r
(n, x)
| 352 | |
| 353 | @array_function_dispatch(_logn_dispatcher) |
| 354 | def logn(n, x): |
| 355 | """ |
| 356 | Take log base n of x. |
| 357 | |
| 358 | If `x` contains negative inputs, the answer is computed and returned in the |
| 359 | complex domain. |
| 360 | |
| 361 | Parameters |
| 362 | ---------- |
| 363 | n : array_like |
| 364 | The integer base(s) in which the log is taken. |
| 365 | x : array_like |
| 366 | The value(s) whose log base `n` is (are) required. |
| 367 | |
| 368 | Returns |
| 369 | ------- |
| 370 | out : ndarray or scalar |
| 371 | The log base `n` of the `x` value(s). If `x` was a scalar, so is |
| 372 | `out`, otherwise an array is returned. |
| 373 | |
| 374 | Examples |
| 375 | -------- |
| 376 | >>> np.set_printoptions(precision=4) |
| 377 | |
| 378 | >>> np.emath.logn(2, [4, 8]) |
| 379 | array([2., 3.]) |
| 380 | >>> np.emath.logn(2, [-4, -8, 8]) |
| 381 | array([2.+4.5324j, 3.+4.5324j, 3.+0.j ]) |
| 382 | |
| 383 | """ |
| 384 | x = _fix_real_lt_zero(x) |
| 385 | n = _fix_real_lt_zero(n) |
| 386 | return nx.log(x)/nx.log(n) |
| 387 | |
| 388 | |
| 389 | @array_function_dispatch(_unary_dispatcher) |
nothing calls this directly
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