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| author | Katharine Hyatt <khyatt@flatironinstitute.org> | 2019-03-14 10:05:30 -0400 |
|---|---|---|
| committer | Katharine Hyatt <khyatt@flatironinstitute.org> | 2019-03-14 10:05:30 -0400 |
| commit | c67c73aced04c1ba9d93a3ce69fde6a076d6af39 (patch) | |
| tree | 5ce9901e38cd2eb25cacd8985e9f6a0c3fd001dc /numpy/linalg | |
| parent | 10cefa453c3414ca49a6b5f911ffd14f539c8e96 (diff) | |
| download | numpy-c67c73aced04c1ba9d93a3ce69fde6a076d6af39.tar.gz | |
Single to double backticks for variable in docstring
Diffstat (limited to 'numpy/linalg')
| -rw-r--r-- | numpy/linalg/linalg.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index 72b27915e..67b86e9fd 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -1041,7 +1041,7 @@ def eigvals(a): >>> LA.norm(Q[0, :]), LA.norm(Q[1, :]), np.dot(Q[0, :],Q[1, :]) (1.0, 1.0, 0.0) - Now multiply a diagonal matrix by `Q` on one side and by `Q.T` on the other: + Now multiply a diagonal matrix by ``Q`` on one side and by ``Q.T`` on the other: >>> D = np.diag((-1,1)) >>> LA.eigvals(D) |