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author | Fazlul Shahriar <fshahriar@gmail.com> | 2013-06-13 23:58:14 -0400 |
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committer | Fazlul Shahriar <fshahriar@gmail.com> | 2013-06-13 23:58:14 -0400 |
commit | 7189c63f1236567abaf7fe5e9a7cf831a650d7bb (patch) | |
tree | 5aff55149c7d1660564940b72f8492866aa76b08 /numpy | |
parent | d596d6d8d842832c763dd0f661ada5ea389bd71d (diff) | |
download | numpy-7189c63f1236567abaf7fe5e9a7cf831a650d7bb.tar.gz |
DOC: another minor tweak of linalg.lstsq doc string
Diffstat (limited to 'numpy')
-rw-r--r-- | numpy/linalg/linalg.py | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index c15469a0a..279ce21f9 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -1733,7 +1733,8 @@ def lstsq(a, b, rcond=-1): Returns ------- x : {(N,), (N, K)} ndarray - Least-squares solution. + Least-squares solution. If `b` is two-dimensional, + the solutions are in the `K` columns of `x`. residuals : {(), (1,), (K,)} ndarray Sums of residuals; squared Euclidean 2-norm for each column in ``b - a*x``. |