DOC: fix output argument reference

2 files changed, 31 insertions, 31 deletions

diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py
index 6c0b9cde9..430578fda 100644
--- a/numpy/core/fromnumeric.py
+++ b/numpy/core/fromnumeric.py
@@ -1945,7 +1945,7 @@ def compress(condition, a, axis=None, out=None):
     take, choose, diag, diagonal, select
     ndarray.compress : Equivalent method in ndarray
     np.extract: Equivalent method when working on 1-D arrays
-    numpy.doc.ufuncs : Section "Output arguments"
+    ufuncs-output-type
 
     Examples
     --------
@@ -2023,7 +2023,7 @@ def clip(a, a_min, a_max, out=None, **kwargs):
 
     See Also
     --------
-    numpy.doc.ufuncs : Section "Output arguments"
+    ufuncs-output-type
 
     Examples
     --------
@@ -2219,7 +2219,7 @@ def any(a, axis=None, out=None, keepdims=np._NoValue):
         the same shape as the expected output and its type is preserved
         (e.g., if it is of type float, then it will remain so, returning
         1.0 for True and 0.0 for False, regardless of the type of `a`).
-        See `doc.ufuncs` (Section "Output arguments") for details.
+        See `ufuncs-output-type` for more details.
 
     keepdims : bool, optional
         If this is set to True, the axes which are reduced are left
@@ -2304,8 +2304,8 @@ def all(a, axis=None, out=None, keepdims=np._NoValue):
         Alternate output array in which to place the result.
         It must have the same shape as the expected output and its
         type is preserved (e.g., if ``dtype(out)`` is float, the result
-        will consist of 0.0's and 1.0's).  See `doc.ufuncs` (Section
-        "Output arguments") for more details.
+        will consist of 0.0's and 1.0's). See `ufuncs-output-type` for more
+        details.
 
     keepdims : bool, optional
         If this is set to True, the axes which are reduced are left
@@ -2383,8 +2383,8 @@ def cumsum(a, axis=None, dtype=None, out=None):
     out : ndarray, optional
         Alternative output array in which to place the result. It must
         have the same shape and buffer length as the expected output
-        but the type will be cast if necessary. See `doc.ufuncs`
-        (Section "Output arguments") for more details.
+        but the type will be cast if necessary. See `ufuncs-output-type` for
+        more details.
 
     Returns
     -------
@@ -2529,7 +2529,7 @@ def amax(a, axis=None, out=None, keepdims=np._NoValue, initial=np._NoValue,
     out : ndarray, optional
         Alternative output array in which to place the result.  Must
         be of the same shape and buffer length as the expected output.
-        See `doc.ufuncs` (Section "Output arguments") for more details.
+        See `ufuncs-output-type` for more details.
 
     keepdims : bool, optional
         If this is set to True, the axes which are reduced are left
@@ -2654,7 +2654,7 @@ def amin(a, axis=None, out=None, keepdims=np._NoValue, initial=np._NoValue,
     out : ndarray, optional
         Alternative output array in which to place the result.  Must
         be of the same shape and buffer length as the expected output.
-        See `doc.ufuncs` (Section "Output arguments") for more details.
+        See `ufuncs-output-type` for more details.
 
     keepdims : bool, optional
         If this is set to True, the axes which are reduced are left
@@ -2861,7 +2861,7 @@ def prod(a, axis=None, dtype=None, out=None, keepdims=np._NoValue,
     See Also
     --------
     ndarray.prod : equivalent method
-    numpy.doc.ufuncs : Section "Output arguments"
+    ufuncs-output-type
 
     Notes
     -----
@@ -2957,7 +2957,7 @@ def cumprod(a, axis=None, dtype=None, out=None):
 
     See Also
     --------
-    numpy.doc.ufuncs : Section "Output arguments"
+    ufuncs-output-type
 
     Notes
     -----
@@ -3103,8 +3103,8 @@ def around(a, decimals=0, out=None):
     out : ndarray, optional
         Alternative output array in which to place the result. It must have
         the same shape as the expected output, but the type of the output
-        values will be cast if necessary. See `doc.ufuncs` (Section
-        "Output arguments") for details.
+        values will be cast if necessary. See `ufuncs-output-type` for more
+        details.
 
     Returns
     -------
@@ -3218,7 +3218,7 @@ def mean(a, axis=None, dtype=None, out=None, keepdims=np._NoValue):
         Alternate output array in which to place the result.  The default
         is ``None``; if provided, it must have the same shape as the
         expected output, but the type will be cast if necessary.
-        See `doc.ufuncs` for details.
+        See `ufuncs-output-type` for more details.
 
     keepdims : bool, optional
         If this is set to True, the axes which are reduced are left
@@ -3353,7 +3353,7 @@ def std(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue):
     See Also
     --------
     var, mean, nanmean, nanstd, nanvar
-    numpy.doc.ufuncs : Section "Output arguments"
+    ufuncs-output-type
 
     Notes
     -----
@@ -3478,7 +3478,7 @@ def var(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue):
     See Also
     --------
     std, mean, nanmean, nanstd, nanvar
-    numpy.doc.ufuncs : Section "Output arguments"
+    ufuncs-output-type
 
     Notes
     -----
diff --git a/numpy/lib/nanfunctions.py b/numpy/lib/nanfunctions.py
index 6cffab6ac..18ccab3b8 100644
--- a/numpy/lib/nanfunctions.py
+++ b/numpy/lib/nanfunctions.py
@@ -244,8 +244,8 @@ def nanmin(a, axis=None, out=None, keepdims=np._NoValue):
     out : ndarray, optional
         Alternate output array in which to place the result.  The default
         is ``None``; if provided, it must have the same shape as the
-        expected output, but the type will be cast if necessary.  See
-        `doc.ufuncs` for details.
+        expected output, but the type will be cast if necessary. See
+        `ufuncs-output-type` for more details.
 
         .. versionadded:: 1.8.0
     keepdims : bool, optional
@@ -359,8 +359,8 @@ def nanmax(a, axis=None, out=None, keepdims=np._NoValue):
     out : ndarray, optional
         Alternate output array in which to place the result.  The default
         is ``None``; if provided, it must have the same shape as the
-        expected output, but the type will be cast if necessary.  See
-        `doc.ufuncs` for details.
+        expected output, but the type will be cast if necessary. See
+        `ufuncs-output-type` for more details.
 
         .. versionadded:: 1.8.0
     keepdims : bool, optional
@@ -585,8 +585,8 @@ def nansum(a, axis=None, dtype=None, out=None, keepdims=np._NoValue):
         Alternate output array in which to place the result.  The default
         is ``None``. If provided, it must have the same shape as the
         expected output, but the type will be cast if necessary.  See
-        `doc.ufuncs` for details. The casting of NaN to integer can yield
-        unexpected results.
+        `ufuncs-output-type` for more details. The casting of NaN to integer
+        can yield unexpected results.
 
         .. versionadded:: 1.8.0
     keepdims : bool, optional
@@ -681,9 +681,9 @@ def nanprod(a, axis=None, dtype=None, out=None, keepdims=np._NoValue):
     out : ndarray, optional
         Alternate output array in which to place the result.  The default
         is ``None``. If provided, it must have the same shape as the
-        expected output, but the type will be cast if necessary.  See
-        `doc.ufuncs` for details. The casting of NaN to integer can yield
-        unexpected results.
+        expected output, but the type will be cast if necessary. See
+        `ufuncs-output-type` for more details. The casting of NaN to integer
+        can yield unexpected results.
     keepdims : bool, optional
         If True, the axes which are reduced are left in the result as
         dimensions with size one. With this option, the result will
@@ -750,8 +750,8 @@ def nancumsum(a, axis=None, dtype=None, out=None):
     out : ndarray, optional
         Alternative output array in which to place the result. It must
         have the same shape and buffer length as the expected output
-        but the type will be cast if necessary. See `doc.ufuncs`
-        (Section "Output arguments") for more details.
+        but the type will be cast if necessary. See `ufuncs-output-type` for
+        more details.
 
     Returns
     -------
@@ -888,8 +888,8 @@ def nanmean(a, axis=None, dtype=None, out=None, keepdims=np._NoValue):
     out : ndarray, optional
         Alternate output array in which to place the result.  The default
         is ``None``; if provided, it must have the same shape as the
-        expected output, but the type will be cast if necessary.  See
-        `doc.ufuncs` for details.
+        expected output, but the type will be cast if necessary. See
+        `ufuncs-output-type` for more details.
     keepdims : bool, optional
         If this is set to True, the axes which are reduced are left
         in the result as dimensions with size one. With this option,
@@ -1473,7 +1473,7 @@ def nanvar(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue):
     mean : Average
     var : Variance while not ignoring NaNs
     nanstd, nanmean
-    numpy.doc.ufuncs : Section "Output arguments"
+    ufuncs-output-type
 
     Notes
     -----
@@ -1625,7 +1625,7 @@ def nanstd(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue):
     --------
     var, mean, std
     nanvar, nanmean
-    numpy.doc.ufuncs : Section "Output arguments"
+    ufuncs-output-type
 
     Notes
     -----