diff options
Diffstat (limited to 'numpy')
| -rw-r--r-- | numpy/core/_add_newdocs.py | 9 |
1 files changed, 6 insertions, 3 deletions
diff --git a/numpy/core/_add_newdocs.py b/numpy/core/_add_newdocs.py index 159da0121..9cc8f562a 100644 --- a/numpy/core/_add_newdocs.py +++ b/numpy/core/_add_newdocs.py @@ -4145,9 +4145,11 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('transpose', Returns a view of the array with axes transposed. - For a 1-D array, this has no effect. (To change between column and - row vectors, first cast the 1-D array into a matrix object.) - For a 2-D array, this is the usual matrix transpose. + For a 1-D array this has no effect, as a transposed vector is simply the + same vector. To convert a 1-D array into a 2D column vector, an additional + dimension must be added. `np.atleast2d(a).T` achieves this, as does + `a[:, np.newaxis]`. + For a 2-D array, this is a standard matrix transpose. For an n-D array, if axes are given, their order indicates how the axes are permuted (see Examples). If axes are not provided and ``a.shape = (i[0], i[1], ... i[n-2], i[n-1])``, then @@ -4173,6 +4175,7 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('transpose', See Also -------- ndarray.T : Array property returning the array transposed. + ndarray.reshape : Give a new shape to an array without changing its data. Examples -------- |