DOC: rst fixes

Author: jorisvandenbossche

doc/source/ecosystem.rst

@@ -143,7 +143,7 @@ both "column wise min/max and global min/max coloring."
 API
 -----
 
-`pandas-datareader <https://github.com/pandas-dev/pandas-datareader>`__
+`pandas-datareader <https://github.com/pydata/pandas-datareader>`__
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 ``pandas-datareader`` is a remote data access library for pandas. ``pandas.io`` from pandas < 0.17.0 is now refactored/split-off to and importable from ``pandas_datareader`` (PyPI:``pandas-datareader``). Many/most of the supported APIs have at least a documentation paragraph in the `pandas-datareader docs <https://pandas-datareader.readthedocs.io/en/latest/>`_:
 

doc/source/io.rst

@@ -2789,7 +2789,7 @@ both on the writing (serialization), and reading (deserialization).
    | 0.17 / Python 3      | >=0.18 / any Python    |
    +----------------------+------------------------+
    | 0.18                 | >= 0.18                |
-   +======================+========================+
+   +----------------------+------------------------+
 
    Reading (files packed by older versions) is backward-compatibile, except for files packed with 0.17 in Python 2, in which case only they can only be unpacked in Python 2.
 

doc/source/whatsnew/v0.13.0.txt

@@ -600,7 +600,7 @@ Enhancements
   .. ipython:: python
 
      t = Timestamp('20130101 09:01:02')
-     t + pd.datetools.Nano(123)
+     t + pd.tseries.offsets.Nano(123)
 
 - A new method, ``isin`` for DataFrames, which plays nicely with boolean indexing. The argument to ``isin``, what we're comparing the DataFrame to, can be a DataFrame, Series, dict, or array of values. See :ref:`the docs<indexing.basics.indexing_isin>` for more.
 

doc/source/whatsnew/v0.19.1.txt

@@ -22,8 +22,8 @@ Performance Improvements
 
 - Fixed performance regression in factorization of ``Period`` data (:issue:`14338`)
 - Improved performance in ``.to_json()`` when ``lines=True`` (:issue:`14408`)
-- Improved performance in ``Series.asof(where)`` when ``where`` is a scalar (:issue:`14461)
-- Improved performance in ``DataFrame.asof(where)`` when ``where`` is a scalar (:issue:`14461)
+- Improved performance in ``Series.asof(where)`` when ``where`` is a scalar (:issue:`14461`)
+- Improved performance in ``DataFrame.asof(where)`` when ``where`` is a scalar (:issue:`14461`)
 - Improved performance in certain types of `loc` indexing with a MultiIndex (:issue:`14551`).
 
 
@@ -50,7 +50,7 @@ Bug Fixes
 
 
 - Bug in ``RangeIndex.intersection`` when result is a empty set (:issue:`14364`).
-- Bug in union of differences from a ``DatetimeIndex`; this is a regression in 0.19.0 from 0.18.1 (:issue:`14323`)
+- Bug in union of differences from a ``DatetimeIndex``; this is a regression in 0.19.0 from 0.18.1 (:issue:`14323`)
 - Regression in ``DatetimeIndex._maybe_cast_slice_bound`` when index is empty (:issue:`14354`).
 
 - Bug in groupby-transform broadcasting that could cause incorrect dtype coercion (:issue:`14457`)

pandas/core/generic.py

@@ -4008,6 +4008,8 @@ def asfreq(self, freq, method=None, how=None, normalize=False):
         -------
         converted : type of caller
 
+        Notes
+        -----
         To learn more about the frequency strings, please see `this link
         <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
         """