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-rw-r--r--numpy/lib/info.py6
-rw-r--r--numpy/lib/polynomial.py2
2 files changed, 4 insertions, 4 deletions
diff --git a/numpy/lib/info.py b/numpy/lib/info.py
index ca1e72397..141df2ace 100644
--- a/numpy/lib/info.py
+++ b/numpy/lib/info.py
@@ -67,9 +67,9 @@ Shape Manipulation
------------------
================ ===================
squeeze Return a with length-one dimensions removed.
-atleast_1d Force arrays to be > 1D
-atleast_2d Force arrays to be > 2D
-atleast_3d Force arrays to be > 3D
+atleast_1d Force arrays to be >= 1D
+atleast_2d Force arrays to be >= 2D
+atleast_3d Force arrays to be >= 3D
vstack Stack arrays vertically (row on row)
hstack Stack arrays horizontally (column on column)
column_stack Stack 1D arrays as columns into 2D array
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]``.