DOC: fix formatting of links on doc-strings

Author: jreback

pandas/core/frame.py

@@ -801,8 +801,7 @@ def to_gbq(self, destination_table, project_id=None, chunksize=10000,
         into a default chunk size of 10,000. Failures return the complete error
         response which can be quite long depending on the size of the insert.
         There are several important limitations of the Google streaming API
-        which are detailed at:
-        https://developers.google.com/bigquery/streaming-data-into-bigquery.
+        which are `here <https://developers.google.com/bigquery/streaming-data-into-bigquery>`_
 
         Parameters
         ----------
@@ -1488,8 +1487,8 @@ def to_latex(self, buf=None, columns=None, col_space=None, colSpace=None,
         bold_rows : boolean, default True
             Make the row labels bold in the output
         column_format : str, default None
-            The columns format as specified in LaTeX (e.g 'rcl' for a 3 columns
-            table), see https://en.wikibooks.org/wiki/LaTeX/Tables
+            The columns format as specified in `LaTeX table format
+            <https://en.wikibooks.org/wiki/LaTeX/Tables>`_ e.g 'rcl' for 3 columns
         longtable : boolean, default False
             Use a longtable environment instead of tabular. Requires adding
             a \\usepackage{longtable} to your LaTeX preamble.
@@ -2114,7 +2113,7 @@ def select_dtypes(self, include=None, exclude=None):
         * To select strings you must use the ``object`` dtype, but note that
           this will return *all* object dtype columns
         * See the `numpy dtype hierarchy
-          <http://docs.scipy.org/doc/numpy/reference/arrays.scalars.html>`__
+          <http://docs.scipy.org/doc/numpy/reference/arrays.scalars.html>`_
         * To select Pandas categorical dtypes, use 'category'
 
         Examples

pandas/core/generic.py

@@ -2992,9 +2992,9 @@ def interpolate(self, method='linear', axis=0, limit=None, inplace=False,
             * 'krogh', 'piecewise_polynomial', 'spline', and 'pchip' are all
               wrappers around the scipy interpolation methods of similar
               names. These use the actual numerical values of the index. See
-              the scipy documentation for more on their behavior:
-              http://docs.scipy.org/doc/scipy/reference/interpolate.html#univariate-interpolation
-              http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html
+              the scipy documentation for more on their behavior
+              `here <http://docs.scipy.org/doc/scipy/reference/interpolate.html#univariate-interpolation>`_
+              `and here <http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html>`_
 
         axis : {0, 1}, default 0
             * 0: fill column-by-column