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authorCharles Harris <charlesr.harris@gmail.com>2018-08-31 13:44:59 -0500
committerGitHub <noreply@github.com>2018-08-31 13:44:59 -0500
commit866589cdf7ecb3054ec3ae6493612d51c9d5e56d (patch)
treea37f31bc41dc8c67530a823391b96f058fe9c26c /numpy/lib/polynomial.py
parent089a0e0e9d1e32f57ddb89be5f450125bc58f57f (diff)
parentf17f229a4a5def56282df4a7e51461c9374385d8 (diff)
downloadnumpy-866589cdf7ecb3054ec3ae6493612d51c9d5e56d.tar.gz
Merge branch 'master' into warn-float16-nan
Diffstat (limited to 'numpy/lib/polynomial.py')
-rw-r--r--numpy/lib/polynomial.py6
1 files changed, 5 insertions, 1 deletions
diff --git a/numpy/lib/polynomial.py b/numpy/lib/polynomial.py
index 0e691f56e..9f3b84732 100644
--- a/numpy/lib/polynomial.py
+++ b/numpy/lib/polynomial.py
@@ -396,7 +396,11 @@ def polyfit(x, y, deg, rcond=None, full=False, w=None, cov=False):
Fit a polynomial ``p(x) = p[0] * x**deg + ... + p[deg]`` of degree `deg`
to points `(x, y)`. Returns a vector of coefficients `p` that minimises
- the squared error.
+ the squared error in the order `deg`, `deg-1`, ... `0`.
+
+ The `Polynomial.fit <numpy.polynomial.polynomial.Polynomial.fit>` class
+ method is recommended for new code as it is more stable numerically. See
+ the documentation of the method for more information.
Parameters
----------