Indexes of the maximum values along an axis. Return the indexes of the first occurrences of the maximum values along the specified axis. If axis is None, the index is for the flattened matrix. Parameters ---------- See `numpy.argmax` for co
(self, axis=None, out=None)
| 645 | return N.ndarray.max(self, axis, out, keepdims=True)._collapse(axis) |
| 646 | |
| 647 | def argmax(self, axis=None, out=None): |
| 648 | """ |
| 649 | Indexes of the maximum values along an axis. |
| 650 | |
| 651 | Return the indexes of the first occurrences of the maximum values |
| 652 | along the specified axis. If axis is None, the index is for the |
| 653 | flattened matrix. |
| 654 | |
| 655 | Parameters |
| 656 | ---------- |
| 657 | See `numpy.argmax` for complete descriptions |
| 658 | |
| 659 | See Also |
| 660 | -------- |
| 661 | numpy.argmax |
| 662 | |
| 663 | Notes |
| 664 | ----- |
| 665 | This is the same as `ndarray.argmax`, but returns a `matrix` object |
| 666 | where `ndarray.argmax` would return an `ndarray`. |
| 667 | |
| 668 | Examples |
| 669 | -------- |
| 670 | >>> x = np.matrix(np.arange(12).reshape((3,4))); x |
| 671 | matrix([[ 0, 1, 2, 3], |
| 672 | [ 4, 5, 6, 7], |
| 673 | [ 8, 9, 10, 11]]) |
| 674 | >>> x.argmax() |
| 675 | 11 |
| 676 | >>> x.argmax(0) |
| 677 | matrix([[2, 2, 2, 2]]) |
| 678 | >>> x.argmax(1) |
| 679 | matrix([[3], |
| 680 | [3], |
| 681 | [3]]) |
| 682 | |
| 683 | """ |
| 684 | return N.ndarray.argmax(self, axis, out)._align(axis) |
| 685 | |
| 686 | def min(self, axis=None, out=None): |
| 687 | """ |