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authorCharles Harris <charlesr.harris@gmail.com>2016-08-26 12:01:44 -0500
committerGitHub <noreply@github.com>2016-08-26 12:01:44 -0500
commit6d04b385a6ed2c4a39904f762450b0b07486ae8e (patch)
tree18774468065215d3878048fd67206e3af0e3d5a7
parent90668d0e740e30102fa3d0a1a72b485ebe9d99c3 (diff)
parent3bc03ae143b5321abf5ab2fd6676286d4c090716 (diff)
downloadnumpy-6d04b385a6ed2c4a39904f762450b0b07486ae8e.tar.gz
Merge pull request #7976 from madphysicist/patch-1
DOC: Fixed documented dimension of return value
-rw-r--r--numpy/lib/polynomial.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/lib/polynomial.py b/numpy/lib/polynomial.py
index d96b8969f..d178ba4b3 100644
--- a/numpy/lib/polynomial.py
+++ b/numpy/lib/polynomial.py
@@ -431,7 +431,7 @@ def polyfit(x, y, deg, rcond=None, full=False, w=None, cov=False):
Returns
-------
- p : ndarray, shape (M,) or (M, K)
+ p : ndarray, shape (deg + 1,) or (deg + 1, K)
Polynomial coefficients, highest power first. If `y` was 2-D, the
coefficients for `k`-th data set are in ``p[:,k]``.