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author | Chunlin <fangchunlin@huawei.com> | 2020-04-25 23:33:48 +0800 |
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committer | GitHub <noreply@github.com> | 2020-04-25 10:33:48 -0500 |
commit | 6ee49178517088966e63c2aedf6a8a5779ad5384 (patch) | |
tree | 8ea96ee9757724dfb590bf359a90cd2c75196331 /numpy/polynomial/hermite.py | |
parent | 6d6df47fefdc503fbcffd8cb14a5daaa956ef220 (diff) | |
download | numpy-6ee49178517088966e63c2aedf6a8a5779ad5384.tar.gz |
DOC: Add missing bracket (gh-16051)
Add missing closing brackets, script to generate the list in the PR gh-16051.
Diffstat (limited to 'numpy/polynomial/hermite.py')
-rw-r--r-- | numpy/polynomial/hermite.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/numpy/polynomial/hermite.py b/numpy/polynomial/hermite.py index 44b26f5ee..487d8dfdb 100644 --- a/numpy/polynomial/hermite.py +++ b/numpy/polynomial/hermite.py @@ -1194,7 +1194,7 @@ def hermvander2d(x, y, deg): ------- vander2d : ndarray The shape of the returned matrix is ``x.shape + (order,)``, where - :math:`order = (deg[0]+1)*(deg([1]+1)`. The dtype will be the same + :math:`order = (deg[0]+1)*(deg[1]+1)`. The dtype will be the same as the converted `x` and `y`. See Also @@ -1248,7 +1248,7 @@ def hermvander3d(x, y, z, deg): ------- vander3d : ndarray The shape of the returned matrix is ``x.shape + (order,)``, where - :math:`order = (deg[0]+1)*(deg([1]+1)*(deg[2]+1)`. The dtype will + :math:`order = (deg[0]+1)*(deg[1]+1)*(deg[2]+1)`. The dtype will be the same as the converted `x`, `y`, and `z`. See Also @@ -1369,8 +1369,8 @@ def hermfit(x, y, deg, rcond=None, full=False, w=None): Fits using Hermite series are probably most useful when the data can be approximated by ``sqrt(w(x)) * p(x)``, where `w(x)` is the Hermite - weight. In that case the weight ``sqrt(w(x[i])`` should be used - together with data values ``y[i]/sqrt(w(x[i])``. The weight function is + weight. In that case the weight ``sqrt(w(x[i]))`` should be used + together with data values ``y[i]/sqrt(w(x[i]))``. The weight function is available as `hermweight`. References |