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| author | Matthias Bussonnier <bussonniermatthias@gmail.com> | 2022-02-09 14:47:24 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2022-02-09 10:47:24 -0300 |
| commit | 51abd9693a78907f2ca7dfacee2017ef44fb9f49 (patch) | |
| tree | db1140b310ad6f3329831d71bde615c02ace744a /numpy/polynomial | |
| parent | a6f55fe293502dd94eccb3799efdbaaa1d5ff1df (diff) | |
| download | numpy-51abd9693a78907f2ca7dfacee2017ef44fb9f49.tar.gz | |
DOC: imbalanced backticks (#21020)
Diffstat (limited to 'numpy/polynomial')
| -rw-r--r-- | numpy/polynomial/polynomial.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/polynomial/polynomial.py b/numpy/polynomial/polynomial.py index 3c2663b6c..b4741355f 100644 --- a/numpy/polynomial/polynomial.py +++ b/numpy/polynomial/polynomial.py @@ -772,7 +772,7 @@ def polyvalfromroots(x, r, tensor=True): If `r` is a 1-D array, then `p(x)` will have the same shape as `x`. If `r` is multidimensional, then the shape of the result depends on the value of - `tensor`. If `tensor is ``True`` the shape will be r.shape[1:] + x.shape; + `tensor`. If `tensor` is ``True`` the shape will be r.shape[1:] + x.shape; that is, each polynomial is evaluated at every value of `x`. If `tensor` is ``False``, the shape will be r.shape[1:]; that is, each polynomial is evaluated only for the corresponding broadcast value of `x`. Note that |