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authorCharles Harris <charlesr.harris@gmail.com>2014-03-28 13:04:10 -0600
committerCharles Harris <charlesr.harris@gmail.com>2014-03-28 13:04:10 -0600
commit9fc98aed1473e73dc8bd97ca79728c400fcc3d37 (patch)
tree089a90133285f2bb16fe7187d1ad1a73870a5122
parent2baee6da0913f26d44bb7ada6976d3d076d23aab (diff)
parent5bff3380b1c649d707bfc35a66b1e53ee3482025 (diff)
downloadnumpy-9fc98aed1473e73dc8bd97ca79728c400fcc3d37.tar.gz
Merge pull request #4566 from juliantaylor/na-doc
DOC: remove obsolete NA reference from polyfit docs
-rw-r--r--numpy/polynomial/chebyshev.py5
-rw-r--r--numpy/polynomial/hermite.py5
-rw-r--r--numpy/polynomial/hermite_e.py5
-rw-r--r--numpy/polynomial/laguerre.py5
-rw-r--r--numpy/polynomial/legendre.py5
-rw-r--r--numpy/polynomial/polynomial.py5
6 files changed, 0 insertions, 30 deletions
diff --git a/numpy/polynomial/chebyshev.py b/numpy/polynomial/chebyshev.py
index ec3fde2f8..b4acbbeab 100644
--- a/numpy/polynomial/chebyshev.py
+++ b/numpy/polynomial/chebyshev.py
@@ -1608,11 +1608,6 @@ def chebfit(x, y, deg, rcond=None, full=False, w=None):
where `n` is `deg`.
- Since numpy version 1.7.0, chebfit also supports NA. If any of the
- elements of `x`, `y`, or `w` are NA, then the corresponding rows of the
- linear least squares problem (see Notes) are set to 0. If `y` is 2-D,
- then an NA in any row of `y` invalidates that whole row.
-
Parameters
----------
x : array_like, shape (M,)
diff --git a/numpy/polynomial/hermite.py b/numpy/polynomial/hermite.py
index 7d2aa38a2..713c780d3 100644
--- a/numpy/polynomial/hermite.py
+++ b/numpy/polynomial/hermite.py
@@ -1380,11 +1380,6 @@ def hermfit(x, y, deg, rcond=None, full=False, w=None):
where `n` is `deg`.
- Since numpy version 1.7.0, hermfit also supports NA. If any of the
- elements of `x`, `y`, or `w` are NA, then the corresponding rows of the
- linear least squares problem (see Notes) are set to 0. If `y` is 2-D,
- then an NA in any row of `y` invalidates that whole row.
-
Parameters
----------
x : array_like, shape (M,)
diff --git a/numpy/polynomial/hermite_e.py b/numpy/polynomial/hermite_e.py
index c3a789809..874b42470 100644
--- a/numpy/polynomial/hermite_e.py
+++ b/numpy/polynomial/hermite_e.py
@@ -1376,11 +1376,6 @@ def hermefit(x, y, deg, rcond=None, full=False, w=None):
where `n` is `deg`.
- Since numpy version 1.7.0, hermefit also supports NA. If any of the
- elements of `x`, `y`, or `w` are NA, then the corresponding rows of the
- linear least squares problem (see Notes) are set to 0. If `y` is 2-D,
- then an NA in any row of `y` invalidates that whole row.
-
Parameters
----------
x : array_like, shape (M,)
diff --git a/numpy/polynomial/laguerre.py b/numpy/polynomial/laguerre.py
index bf44dc5f4..9d88162ce 100644
--- a/numpy/polynomial/laguerre.py
+++ b/numpy/polynomial/laguerre.py
@@ -1379,11 +1379,6 @@ def lagfit(x, y, deg, rcond=None, full=False, w=None):
where `n` is `deg`.
- Since numpy version 1.7.0, lagfit also supports NA. If any of the
- elements of `x`, `y`, or `w` are NA, then the corresponding rows of the
- linear least squares problem (see Notes) are set to 0. If `y` is 2-D,
- then an NA in any row of `y` invalidates that whole row.
-
Parameters
----------
x : array_like, shape (M,)
diff --git a/numpy/polynomial/legendre.py b/numpy/polynomial/legendre.py
index a54262823..58c130b7e 100644
--- a/numpy/polynomial/legendre.py
+++ b/numpy/polynomial/legendre.py
@@ -1409,11 +1409,6 @@ def legfit(x, y, deg, rcond=None, full=False, w=None):
where `n` is `deg`.
- Since numpy version 1.7.0, legfit also supports NA. If any of the
- elements of `x`, `y`, or `w` are NA, then the corresponding rows of the
- linear least squares problem (see Notes) are set to 0. If `y` is 2-D,
- then an NA in any row of `y` invalidates that whole row.
-
Parameters
----------
x : array_like, shape (M,)
diff --git a/numpy/polynomial/polynomial.py b/numpy/polynomial/polynomial.py
index 97f4fd148..60aaff83f 100644
--- a/numpy/polynomial/polynomial.py
+++ b/numpy/polynomial/polynomial.py
@@ -1208,11 +1208,6 @@ def polyfit(x, y, deg, rcond=None, full=False, w=None):
where `n` is `deg`.
- Since numpy version 1.7.0, polyfit also supports NA. If any of the
- elements of `x`, `y`, or `w` are NA, then the corresponding rows of the
- linear least squares problem (see Notes) are set to 0. If `y` is 2-D,
- then an NA in any row of `y` invalidates that whole row.
-
Parameters
----------
x : array_like, shape (`M`,)