diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index 48838ac39975..f1ec9406ea6b 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -7869,8 +7869,9 @@ def violinplot(self, dataset, positions=None, vert=True, widths=0.5,
           The method used to calculate the estimator bandwidth.  This can be
           'scott', 'silverman', a scalar constant or a callable.  If a
           scalar, this will be used directly as `kde.factor`.  If a
-          callable, it should take a `GaussianKDE` instance as its only
-          parameter and return a scalar. If None (default), 'scott' is used.
+          callable, it should take a `matplotlib.mlab.GaussianKDE` instance as
+          its only parameter and return a scalar. If None (default), 'scott'
+          is used.
 
         data : indexable object, optional
             DATA_PARAMETER_PLACEHOLDER
diff --git a/lib/matplotlib/backend_tools.py b/lib/matplotlib/backend_tools.py
index 7ab87ba52879..e397fb7fc456 100644
--- a/lib/matplotlib/backend_tools.py
+++ b/lib/matplotlib/backend_tools.py
@@ -1006,8 +1006,8 @@ def add_tools_to_manager(toolmanager, tools=default_tools):
     toolmanager : `.backend_managers.ToolManager`
         Manager to which the tools are added.
     tools : {str: class_like}, optional
-        The tools to add in a {name: tool} dict, see `add_tool` for more
-        info.
+        The tools to add in a {name: tool} dict, see
+        `.backend_managers.ToolManager.add_tool` for more info.
     """
 
     for name, tool in tools.items():
@@ -1021,11 +1021,12 @@ def add_tools_to_container(container, tools=default_toolbar_tools):
     Parameters
     ----------
     container : Container
-        `backend_bases.ToolContainerBase` object that will get the tools added.
+        `.backend_bases.ToolContainerBase` object that will get the tools
+        added.
     tools : list, optional
         List in the form ``[[group1, [tool1, tool2 ...]], [group2, [...]]]``
         where the tools ``[tool1, tool2, ...]`` will display in group1.
-        See `add_tool` for details.
+        See `.backend_bases.ToolContainerBase.add_tool` for details.
     """
 
     for group, grouptools in tools:
diff --git a/lib/matplotlib/path.py b/lib/matplotlib/path.py
index 43d3f2fd95da..172013acb57b 100644
--- a/lib/matplotlib/path.py
+++ b/lib/matplotlib/path.py
@@ -218,7 +218,7 @@ def codes(self):
         code is one of `STOP`, `MOVETO`, `LINETO`, `CURVE3`, `CURVE4`
         or `CLOSEPOLY`.  For codes that correspond to more than one
         vertex (`CURVE3` and `CURVE4`), that code will be repeated so
-        that the length of `self.vertices` and `self.codes` is always
+        that the length of `vertices` and `codes` is always
         the same.
         """
         return self._codes
diff --git a/lib/matplotlib/transforms.py b/lib/matplotlib/transforms.py
index b2d4a5a8de36..2a0b63c07144 100644
--- a/lib/matplotlib/transforms.py
+++ b/lib/matplotlib/transforms.py
@@ -1474,7 +1474,7 @@ def transform(self, values):
         Returns
         -------
         array
-            The output values as NumPy array of length :attr:`input_dims` or
+            The output values as NumPy array of length :attr:`output_dims` or
             shape (N x :attr:`output_dims`), depending on the input.
         """
         # Ensure that values is a 2d array (but remember whether
@@ -1519,7 +1519,7 @@ def transform_affine(self, values):
         Returns
         -------
         array
-            The output values as NumPy array of length :attr:`input_dims` or
+            The output values as NumPy array of length :attr:`output_dims` or
             shape (N x :attr:`output_dims`), depending on the input.
         """
         return self.get_affine().transform(values)
@@ -1544,7 +1544,7 @@ def transform_non_affine(self, values):
         Returns
         -------
         array
-            The output values as NumPy array of length :attr:`input_dims` or
+            The output values as NumPy array of length :attr:`output_dims` or
             shape (N x :attr:`output_dims`), depending on the input.
         """
         return values