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authorCharles Harris <charlesr.harris@gmail.com>2015-07-01 23:36:38 -0600
committerCharles Harris <charlesr.harris@gmail.com>2015-07-01 23:40:56 -0600
commitf5e9adbbf87903e42d03bb3dd5f86b70a89e930c (patch)
treed35f5116d0ce8c579b583cda4a3ee32c541fb6bd /numpy/ma/extras.py
parentf940a9e434e2ba39328361336711502895a42194 (diff)
downloadnumpy-f5e9adbbf87903e42d03bb3dd5f86b70a89e930c.tar.gz
DOC: Fix docstring warnings in documetation generation.
Most of these fixes involve putting blank lines around .. versionadded:: x.x.x and .. deprecated:: x.x.x Some of the examples were also fixed.
Diffstat (limited to 'numpy/ma/extras.py')
-rw-r--r--numpy/ma/extras.py8
1 files changed, 5 insertions, 3 deletions
diff --git a/numpy/ma/extras.py b/numpy/ma/extras.py
index 2f8114563..bd593e65f 100644
--- a/numpy/ma/extras.py
+++ b/numpy/ma/extras.py
@@ -1371,11 +1371,11 @@ def cov(x, y=None, rowvar=True, bias=False, allow_masked=True, ddof=None):
in `x`, the corresponding value is masked in `y`.
If False, raises a `ValueError` exception when some values are missing.
ddof : {None, int}, optional
- .. versionadded:: 1.5
If not ``None`` normalization is by ``(N - ddof)``, where ``N`` is
the number of observations; this overrides the value implied by
``bias``. The default value is ``None``.
+ .. versionadded:: 1.5
Raises
------
@@ -1430,17 +1430,19 @@ def corrcoef(x, y=None, rowvar=True, bias=np._NoValue, allow_masked=True,
is transposed: each column represents a variable, while the rows
contain observations.
bias : _NoValue, optional
- .. deprecated:: 1.10.0
Has no affect, do not use.
+
+ .. deprecated:: 1.10.0
allow_masked : bool, optional
If True, masked values are propagated pair-wise: if a value is masked
in `x`, the corresponding value is masked in `y`.
If False, raises an exception. Because `bias` is deprecated, this
argument needs to be treated as keyword only to avoid a warning.
ddof : _NoValue, optional
- .. deprecated:: 1.10.0
Has no affect, do not use.
+ .. deprecated:: 1.10.0
+
See Also
--------
numpy.corrcoef : Equivalent function in top-level NumPy module.