DOC: Fix various warnings

doc/source/comparison_with_r.rst

@@ -397,7 +397,7 @@ In Python, this list would be a list of tuples, so
    pd.DataFrame(a)
 
 For more details and examples see :ref:`the Into to Data Structures
-documentation <basics.dataframe.from_items>`.
+documentation <dsintro>`.
 
 |meltdf|_
 ~~~~~~~~~~~~~~~~

doc/source/cookbook.rst

@@ -411,6 +411,8 @@ Levels
 `Flatten Hierarchical columns
 <http://stackoverflow.com/questions/14507794/python-pandas-how-to-flatten-a-hierarchical-index-in-columns>`__
 
+.. _cookbook.missing_data:
+
 Missing Data
 ------------
 

doc/source/io.rst

@@ -3862,6 +3862,8 @@ Then create the index when finished appending.
 
 See `here <http://stackoverflow.com/questions/17893370/ptrepack-sortby-needs-full-index>`__ for how to create a completely-sorted-index (CSI) on an existing store.
 
+.. _io.hdf5-query-data-columns:
+
 Query via Data Columns
 ++++++++++++++++++++++
 

doc/source/release.rst

@@ -71,7 +71,7 @@ Highlights include:
 
 - Temporarily restore matplotlib datetime plotting functionality. This should
   resolve issues for users who relied implicitly on pandas to plot datetimes
-  with matplotlib. See :ref:`here <whatsnew_0211.special>`.
+  with matplotlib. See :ref:`here <whatsnew_0211.converters>`.
 - Improvements to the Parquet IO functions introduced in 0.21.0. See
   :ref:`here <whatsnew_0211.enhancements.parquet>`.
 

doc/source/whatsnew/v0.10.0.txt

@@ -409,7 +409,7 @@ N Dimensional Panels (Experimental)
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 Adding experimental support for Panel4D and factory functions to create n-dimensional named panels.
-:ref:`Docs <dsintro.panel4d>` for NDim. Here is a taste of what to expect.
+`Docs` for NDim. Here is a taste of what to expect.
 
 .. code-block:: ipython
 

doc/source/whatsnew/v0.16.1.txt

@@ -26,7 +26,7 @@ Highlights include:
 
 .. warning::
 
-   In pandas 0.17.0, the sub-package ``pandas.io.data`` will be removed in favor of a separately installable package. See :ref:`here for details <remote_data.pandas_datareader>` (:issue:`8961`)
+   In pandas 0.17.0, the sub-package ``pandas.io.data`` will be removed in favor of a separately installable package. See `here for details` (:issue:`8961`)
 
 Enhancements
 ~~~~~~~~~~~~

doc/source/whatsnew/v0.23.0.txt

@@ -331,7 +331,7 @@ Other Enhancements
   :func:`pandas.api.extensions.register_series_accessor`, and
   :func:`pandas.api.extensions.register_index_accessor`, accessor for libraries downstream of pandas
   to register custom accessors like ``.cat`` on pandas objects. See
-  :ref:`Registering Custom Accessors <developer.register-accessors>` for more (:issue:`14781`).
+  :ref:`Registering Custom Accessors <extending.register-accessors>` for more (:issue:`14781`).
 
 - ``IntervalIndex.astype`` now supports conversions between subtypes when passed an ``IntervalDtype`` (:issue:`19197`)
 - :class:`IntervalIndex` and its associated constructor methods (``from_arrays``, ``from_breaks``, ``from_tuples``) have gained a ``dtype`` parameter (:issue:`19262`)

doc/source/whatsnew/v0.6.1.txt

@@ -16,12 +16,12 @@ New features
 - Add PyQt table widget to sandbox (:issue:`435`)
 - DataFrame.align can :ref:`accept Series arguments <basics.align.frame.series>`
   and an :ref:`axis option <basics.df_join>` (:issue:`461`)
-- Implement new :ref:`SparseArray <sparse.array>` and :ref:`SparseList <sparse.list>`
+- Implement new :ref:`SparseArray <sparse.array>` and `SparseList`
   data structures. SparseSeries now derives from SparseArray (:issue:`463`)
 - :ref:`Better console printing options <basics.console_output>` (:issue:`453`)
 - Implement fast :ref:`data ranking <computation.ranking>` for Series and
   DataFrame, fast versions of scipy.stats.rankdata (:issue:`428`)
-- Implement :ref:`DataFrame.from_items <basics.dataframe.from_items>` alternate
+- Implement `DataFrame.from_items` alternate
   constructor (:issue:`444`)
 - DataFrame.convert_objects method for :ref:`inferring better dtypes <basics.cast>`
   for object columns (:issue:`302`)

pandas/core/generic.py

@@ -1929,8 +1929,7 @@ def to_hdf(self, path_or_buf, key, **kwargs):
         data_columns :  list of columns or True, optional
             List of columns to create as indexed data columns for on-disk
             queries, or True to use all columns. By default only the axes
-            of the object are indexed. See `here
-            <http://pandas.pydata.org/pandas-docs/stable/io.html#query-via-data-columns>`__.
+            of the object are indexed. See :ref:`io.hdf5-query-data-columns`.
             Applicable only to format='table'.
         complevel : {0-9}, optional
             Specifies a compression level for data.

pandas/plotting/_core.py

@@ -3100,7 +3100,7 @@ def hist(self, by=None, bins=10, **kwds):
 
         A histogram is a representation of the distribution of data.
         This function groups the values of all given Series in the DataFrame
-        into bins, and draws all bins in only one :ref:`matplotlib.axes.Axes`.
+        into bins and draws all bins in one :class:`matplotlib.axes.Axes`.
         This is useful when the DataFrame's Series are in a similar scale.
 
         Parameters