Returns the variance of the matrix elements, along the given axis. Refer to `numpy.var` for full documentation. See Also -------- numpy.var Notes ----- This is the same as `ndarray.var`, except that where an `ndarray` would
(self, axis=None, dtype=None, out=None, ddof=0)
| 480 | return N.ndarray.std(self, axis, dtype, out, ddof, keepdims=True)._collapse(axis) |
| 481 | |
| 482 | def var(self, axis=None, dtype=None, out=None, ddof=0): |
| 483 | """ |
| 484 | Returns the variance of the matrix elements, along the given axis. |
| 485 | |
| 486 | Refer to `numpy.var` for full documentation. |
| 487 | |
| 488 | See Also |
| 489 | -------- |
| 490 | numpy.var |
| 491 | |
| 492 | Notes |
| 493 | ----- |
| 494 | This is the same as `ndarray.var`, except that where an `ndarray` would |
| 495 | be returned, a `matrix` object is returned instead. |
| 496 | |
| 497 | Examples |
| 498 | -------- |
| 499 | >>> x = np.matrix(np.arange(12).reshape((3, 4))) |
| 500 | >>> x |
| 501 | matrix([[ 0, 1, 2, 3], |
| 502 | [ 4, 5, 6, 7], |
| 503 | [ 8, 9, 10, 11]]) |
| 504 | >>> x.var() |
| 505 | 11.916666666666666 |
| 506 | >>> x.var(0) |
| 507 | matrix([[ 10.66666667, 10.66666667, 10.66666667, 10.66666667]]) # may vary |
| 508 | >>> x.var(1) |
| 509 | matrix([[1.25], |
| 510 | [1.25], |
| 511 | [1.25]]) |
| 512 | |
| 513 | """ |
| 514 | return N.ndarray.var(self, axis, dtype, out, ddof, keepdims=True)._collapse(axis) |
| 515 | |
| 516 | def prod(self, axis=None, dtype=None, out=None): |
| 517 | """ |