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authorJulian Taylor <jtaylor.debian@googlemail.com>2014-03-28 19:18:04 +0100
committerJulian Taylor <jtaylor.debian@googlemail.com>2014-03-28 19:18:27 +0100
commit5bff3380b1c649d707bfc35a66b1e53ee3482025 (patch)
tree8c0e2f6fff782a4eb78cfcf4731b692cffdd63f7 /numpy
parentab0642c9780a0c19c701facbc8ea85a278e4324d (diff)
downloadnumpy-5bff3380b1c649d707bfc35a66b1e53ee3482025.tar.gz
DOC: remove obsolete NA reference from polyfit docs
Diffstat (limited to 'numpy')
-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 6a2394382..b8303ef43 100644
--- a/numpy/polynomial/chebyshev.py
+++ b/numpy/polynomial/chebyshev.py
@@ -1607,11 +1607,6 @@ 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 4140acfb7..3db5e364d 100644
--- a/numpy/polynomial/hermite.py
+++ b/numpy/polynomial/hermite.py
@@ -1379,11 +1379,6 @@ 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 735ca9470..99f29a892 100644
--- a/numpy/polynomial/hermite_e.py
+++ b/numpy/polynomial/hermite_e.py
@@ -1375,11 +1375,6 @@ 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 b7ffe9b0c..e88f2b07b 100644
--- a/numpy/polynomial/laguerre.py
+++ b/numpy/polynomial/laguerre.py
@@ -1378,11 +1378,6 @@ 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 8d89c8412..c4ce0ddde 100644
--- a/numpy/polynomial/legendre.py
+++ b/numpy/polynomial/legendre.py
@@ -1408,11 +1408,6 @@ 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 c30fc6d0c..ca0784ba6 100644
--- a/numpy/polynomial/polynomial.py
+++ b/numpy/polynomial/polynomial.py
@@ -1207,11 +1207,6 @@ 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`,)