Removed references to v0.17 in docs and doc strings

Author: tp

doc/source/basics.rst

@@ -1738,11 +1738,6 @@ description.
 Sorting
 -------
 
-.. warning::
-
-   The sorting API is substantially changed in 0.17.0, see :ref:`here <whatsnew_0170.api_breaking.sorting>` for these changes.
-   In particular, all sorting methods now return a new object by default, and **DO NOT** operate in-place (except by passing ``inplace=True``).
-
 There are two obvious kinds of sorting that you may be interested in: sorting
 by label and sorting by actual values.
 
@@ -1829,8 +1824,6 @@ faster than sorting the entire Series and calling ``head(n)`` on the result.
    s.nsmallest(3)
    s.nlargest(3)
 
-.. versionadded:: 0.17.0
-
 ``DataFrame`` also has the ``nlargest`` and ``nsmallest`` methods.
 
 .. ipython:: python
@@ -1881,7 +1874,7 @@ dtypes
 ------
 
 The main types stored in pandas objects are ``float``, ``int``, ``bool``,
-``datetime64[ns]`` and ``datetime64[ns, tz]`` (in >= 0.17.0), ``timedelta[ns]``,
+``datetime64[ns]`` and ``datetime64[ns, tz]``, ``timedelta[ns]``,
 ``category`` and ``object``. In addition these dtypes have item sizes, e.g.
 ``int64`` and ``int32``. See :ref:`Series with TZ <timeseries.timezone_series>`
 for more detail on ``datetime64[ns, tz]`` dtypes.

doc/source/categorical.rst

@@ -632,8 +632,6 @@ To get a single value `Series` of type ``category`` pass in a list with a single
 String and datetime accessors
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. versionadded:: 0.17.1
-
 The accessors  ``.dt`` and ``.str`` will work if the ``s.cat.categories`` are of an appropriate
 type:
 

doc/source/computation.rst

@@ -206,8 +206,6 @@ Window Functions
    functions and are now deprecated. These are replaced by using the :class:`~pandas.core.window.Rolling`, :class:`~pandas.core.window.Expanding` and :class:`~pandas.core.window.EWM`. objects and a corresponding method call.
 
    The deprecation warning will show the new syntax, see an example :ref:`here <whatsnew_0180.window_deprecations>`
-   You can view the previous documentation
-   `here <http://pandas.pydata.org/pandas-docs/version/0.17.1/computation.html#moving-rolling-statistics-moments>`__
 
 For working with data, a number of windows functions are provided for
 computing common *window* or *rolling* statistics. Among these are count, sum,

doc/source/contributing.rst

@@ -877,12 +877,12 @@ directive is used. The sphinx syntax for that is:
 
 .. code-block:: rst
 
-  .. versionadded:: 0.17.0
+  .. versionadded:: 0.21.0
 
-This will put the text *New in version 0.17.0* wherever you put the sphinx
+This will put the text *New in version 0.21.0* wherever you put the sphinx
 directive. This should also be put in the docstring when adding a new function
-or method (`example <https://github.com/pandas-dev/pandas/blob/v0.16.2/pandas/core/generic.py#L1959>`__)
-or a new keyword argument (`example <https://github.com/pandas-dev/pandas/blob/v0.16.2/pandas/core/frame.py#L1171>`__).
+or method (`example <https://github.com/pandas-dev/pandas/blob/v0.20.2/pandas/core/frame.py#L1495>`__)
+or a new keyword argument (`example <https://github.com/pandas-dev/pandas/blob/v0.20.2/pandas/core/generic.py#L568>`__).
 
 Contributing your changes to *pandas*
 =====================================

doc/source/ecosystem.rst

@@ -146,7 +146,10 @@ API
 
 `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/>`_:
+``pandas-datareader`` is a remote data access library for pandas (PyPI:``pandas-datareader``).
+it is based on functionality that was located in ``pandas.io.data`` and ``pandas.io.wb`` but was
+split of in v0.19.
+See more in the  `pandas-datareader docs <https://pandas-datareader.readthedocs.io/en/latest/>`_:
 
 The following data feeds are available:
 

doc/source/gotchas.rst

@@ -47,8 +47,6 @@ The ``+`` symbol indicates that the true memory usage could be higher, because
 pandas does not count the memory used by values in columns with
 ``dtype=object``.
 
-.. versionadded:: 0.17.1
-
 Passing ``memory_usage='deep'`` will enable a more accurate memory usage report,
 that accounts for the full usage of the contained objects. This is optional
 as it can be expensive to do this deeper introspection.

doc/source/indexing.rst

@@ -1632,8 +1632,6 @@ Missing values
 
 .. _indexing.missing:
 
-.. versionadded:: 0.17.1
-
 .. important::
 
    Even though ``Index`` can hold missing values (``NaN``), it should be avoided

doc/source/io.rst

@@ -2689,11 +2689,6 @@ of sheet names can simply be passed to ``read_excel`` with no loss in performanc
     # equivalent using the read_excel function
     data = read_excel('path_to_file.xls', ['Sheet1', 'Sheet2'], index_col=None, na_values=['NA'])
 
-.. versionadded:: 0.17
-
-``read_excel`` can take an ``ExcelFile`` object as input
-
-
 .. _io.excel.specifying_sheets:
 
 Specifying Sheets
@@ -2754,8 +2749,6 @@ respectively.
 Reading a ``MultiIndex``
 ++++++++++++++++++++++++
 
-.. versionadded:: 0.17
-
 ``read_excel`` can read a ``MultiIndex`` index, by passing a list of columns to ``index_col``
 and a ``MultiIndex`` column by passing a list of rows to ``header``.  If either the ``index``
 or ``columns`` have serialized level names those will be read in as well by specifying
@@ -2928,14 +2921,8 @@ one can pass an :class:`~pandas.io.excel.ExcelWriter`.
 Writing Excel Files to Memory
 +++++++++++++++++++++++++++++
 
-.. versionadded:: 0.17
-
 Pandas supports writing Excel files to buffer-like objects such as ``StringIO`` or
-``BytesIO`` using :class:`~pandas.io.excel.ExcelWriter`.
-
-.. versionadded:: 0.17
-
-Added support for Openpyxl >= 2.2
+``BytesIO`` using :class:`~pandas.io.excel.ExcelWriter`. Pandas also supports Openpyxl >= 2.2.
 
 .. code-block:: python
 
@@ -3191,25 +3178,6 @@ both on the writing (serialization), and reading (deserialization).
    optimizations in the io of the ``msgpack`` data. Since this is marked
    as an EXPERIMENTAL LIBRARY, the storage format may not be stable until a future release.
 
-   As a result of writing format changes and other issues:
-
-   +----------------------+------------------------+
-   | Packed with          | Can be unpacked with   |
-   +======================+========================+
-   | pre-0.17 / Python 2  | any                    |
-   +----------------------+------------------------+
-   | pre-0.17 / Python 3  | any                    |
-   +----------------------+------------------------+
-   | 0.17 / Python 2      | - 0.17 / Python 2      |
-   |                      | - >=0.18 / any Python  |
-   +----------------------+------------------------+
-   | 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.
-
 .. ipython:: python
 
    df = pd.DataFrame(np.random.rand(5,2),columns=list('AB'))
@@ -3287,10 +3255,6 @@ for some advanced strategies
    If you see a subset of results being returned, upgrade to ``PyTables`` >= 3.2.
    Stores created previously will need to be rewritten using the updated version.
 
-.. warning::
-
-   As of version 0.17.0, ``HDFStore`` will not drop rows that have all missing values by default. Previously, if all values (except the index) were missing, ``HDFStore`` would not write those rows to disk.
-
 .. ipython:: python
    :suppress:
    :okexcept:
@@ -3388,7 +3352,7 @@ similar to how ``read_csv`` and ``to_csv`` work.
    os.remove('store_tl.h5')
 
 
-As of version 0.17.0, HDFStore will no longer drop rows that are all missing by default. This behavior can be enabled by setting ``dropna=True``.
+HDFStore will by default not drop rows that are all missing. This behavior can be changed by setting ``dropna=True``.
 
 .. ipython:: python
    :suppress:
@@ -5098,10 +5062,8 @@ whether imported ``Categorical`` variables are ordered.
 SAS Formats
 -----------
 
-.. versionadded:: 0.17.0
-
 The top-level function :func:`read_sas` can read (but not write) SAS
-`xport` (.XPT) and `SAS7BDAT` (.sas7bdat) format files were added in *v0.18.0*.
+`xport` (.XPT) and (since *v0.18.0*) `SAS7BDAT` (.sas7bdat) format files.
 
 SAS files only contain two value types: ASCII text and floating point
 values (usually 8 bytes but sometimes truncated).  For xport files,

doc/source/merging.rst

@@ -550,8 +550,6 @@ standard database join operations between DataFrame objects:
   merge key only appears in ``'right'`` DataFrame, and ``both`` if the
   observation's merge key is found in both.
 
-  .. versionadded:: 0.17.0
-
 - ``validate`` : string, default None.
   If specified, checks if merge is of specified type.
 
@@ -766,9 +764,7 @@ If the user is aware of the duplicates in the right `DataFrame` but wants to ens
 The merge indicator
 ~~~~~~~~~~~~~~~~~~~
 
-.. versionadded:: 0.17.0
-
-``merge`` now accepts the argument ``indicator``. If ``True``, a Categorical-type column called ``_merge`` will be added to the output object that takes on values:
+``merge`` accepts the argument ``indicator``. If ``True``, a Categorical-type column called ``_merge`` will be added to the output object that takes on values:
 
   ===================================   ================
   Observation Origin                    ``_merge`` value

doc/source/missing_data.rst

@@ -352,10 +352,6 @@ examined :ref:`in the API <api.dataframe.missing>`.
 Interpolation
 ~~~~~~~~~~~~~
 
-.. versionadded:: 0.17.0
-
-  The ``limit_direction`` keyword argument was added.
-
 Both Series and DataFrame objects have an ``interpolate`` method that, by default,
 performs linear interpolation at missing datapoints.
 

doc/source/remote_data.rst

@@ -11,7 +11,7 @@ Remote Data Access
 DataReader
 ----------
 
-The sub-package ``pandas.io.data`` was deprecated in v.0.17 and removed in
+The sub-package ``pandas.io.data`` was removed in
 `v.0.19 <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#v0-19-0-october-2-2016>`__.
 Instead there has been created a separately installable
 `pandas-datareader package <https://github.com/pydata/pandas-datareader>`__.

doc/source/timeseries.rst

@@ -229,12 +229,7 @@ You can pass only the columns that you need to assemble.
 Invalid Data
 ~~~~~~~~~~~~
 
-.. note::
-
-   In version 0.17.0, the default for ``to_datetime`` is now ``errors='raise'``, rather than ``errors='ignore'``. This means
-   that invalid parsing will raise rather that return the original input as in previous versions.
-
-The default behavior, ``errors='raise'``, is to raise when unparseable: 
+The default behavior, ``errors='raise'``, is to raise when unparseable:
 
 .. code-block:: ipython
 
@@ -2204,8 +2199,6 @@ constructor as well as ``tz_localize``.
 TZ Aware Dtypes
 ~~~~~~~~~~~~~~~
 
-.. versionadded:: 0.17.0
-
 ``Series/DatetimeIndex`` with a timezone **naive** value are represented with a dtype of ``datetime64[ns]``.
 
 .. ipython:: python

doc/source/visualization.rst

@@ -129,8 +129,6 @@ For example, a bar plot can be created the following way:
    @savefig bar_plot_ex.png
    df.iloc[5].plot(kind='bar');
 
-.. versionadded:: 0.17.0
-
 You can also create these other plots using the methods ``DataFrame.plot.<kind>`` instead of providing the ``kind`` keyword argument. This makes it easier to discover plot methods and the specific arguments they use:
 
 .. ipython::

pandas/core/frame.py

@@ -180,8 +180,6 @@
     "right_only" for observations whose merge key only appears in 'right'
     DataFrame, and "both" if the observation's merge key is found in both.
 
-    .. versionadded:: 0.17.0
-
 validate : string, default None
     If specified, checks if merge is of specified type.
 
@@ -914,8 +912,6 @@ def to_dict(self, orient='dict', into=dict):
               [{column -> value}, ... , {column -> value}]
             - index : dict like {index -> {column -> value}}
 
-              .. versionadded:: 0.17.0
-
             Abbreviations are allowed. `s` indicates `series` and `sp`
             indicates `split`.
 
@@ -3731,8 +3727,6 @@ def nlargest(self, n, columns, keep='first'):
         """Get the rows of a DataFrame sorted by the `n` largest
         values of `columns`.
 
-        .. versionadded:: 0.17.0
-
         Parameters
         ----------
         n : int
@@ -3768,8 +3762,6 @@ def nsmallest(self, n, columns, keep='first'):
         """Get the rows of a DataFrame sorted by the `n` smallest
         values of `columns`.
 
-        .. versionadded:: 0.17.0
-
         Parameters
         ----------
         n : int
@@ -5338,8 +5330,6 @@ def round(self, decimals=0, *args, **kwargs):
         """
         Round a DataFrame to a variable number of decimal places.
 
-        .. versionadded:: 0.17.0
-
         Parameters
         ----------
         decimals : int, dict, Series

pandas/core/generic.py

@@ -2472,7 +2472,6 @@ def reindex_like(self, other, method=None, copy=True, limit=None,
             Maximum distance between labels of the other object and this
             object for inexact matches. Can be list-like.
 
-            .. versionadded:: 0.17.0
             .. versionadded:: 0.21.0 (list-like tolerance)
 
         Notes
@@ -2679,8 +2678,6 @@ def add_suffix(self, suffix):
     _shared_docs['sort_values'] = """
         Sort by the values along either axis
 
-        .. versionadded:: 0.17.0
-
         Parameters
         ----------%(optional_by)s
         axis : %(axes_single_arg)s, default 0
@@ -2867,7 +2864,6 @@ def sort_index(self, axis=0, level=None, ascending=True, inplace=False,
             the same size as the index and its dtype must exactly match the
             index's type.
 
-            .. versionadded:: 0.17.0
             .. versionadded:: 0.21.0 (list-like tolerance)
 
         Examples
@@ -3134,7 +3130,6 @@ def _reindex_multi(self, axes, copy, fill_value):
             the same size as the index and its dtype must exactly match the
             index's type.
 
-            .. versionadded:: 0.17.0
             .. versionadded:: 0.21.0 (list-like tolerance)
 
         Examples
@@ -4715,9 +4710,6 @@ def replace(self, to_replace=None, value=None, inplace=False, limit=None,
         limit_direction : {'forward', 'backward', 'both'}, default 'forward'
             If limit is specified, consecutive NaNs will be filled in this
             direction.
-
-            .. versionadded:: 0.17.0
-
         inplace : bool, default False
             Update the NDFrame in place if possible.
         downcast : optional, 'infer' or None, defaults to None
@@ -5720,8 +5712,6 @@ def ranker(data):
             Broadcast values along this axis, if aligning two objects of
             different dimensions
 
-            .. versionadded:: 0.17.0
-
         Returns
         -------
         (left, right) : (%(klass)s, type of other)

pandas/core/indexes/base.py

@@ -2490,7 +2490,6 @@ def _get_unique_index(self, dropna=False):
             includes list, tuple, array, Series, and must be the same size as
             the index and its dtype must exactly match the index's type.
 
-            .. versionadded:: 0.17.0
             .. versionadded:: 0.21.0 (list-like tolerance)
 
         Returns
@@ -2640,7 +2639,6 @@ def _get_level_values(self, level):
             the same size as the index and its dtype must exactly match the
             index's type.
 
-            .. versionadded:: 0.17.0
             .. versionadded:: 0.21.0 (list-like tolerance)
 
         Examples

pandas/core/indexes/datetimelike.py

@@ -48,8 +48,6 @@ def strftime(self, date_format):
     supports the same string format as the python standard library. Details
     of the string format can be found in `python string format doc <{0}>`__
 
-    .. versionadded:: 0.17.0
-
     Parameters
     ----------
     date_format : str

pandas/core/indexes/datetimes.py

@@ -1016,12 +1016,10 @@ def union(self, other):
 
     def to_perioddelta(self, freq):
         """
-        Calcuates TimedeltaIndex of difference between index
+        Calculates TimedeltaIndex of difference between index
         values and index converted to PeriodIndex at specified
         freq.  Used for vectorized offsets
 
-        .. versionadded:: 0.17.0
-
         Parameters
         ----------
         freq : Period frequency