Merge pull request #4038 from cpcloud/rls-whatsnew-version-number-update

CLN/DOC: update version numbers

Author: cpcloud

doc/source/faq.rst

@@ -35,7 +35,7 @@ horizontal scrolling, auto-detection of width/height.
 To appropriately address all these environments, the display behavior is controlled
 by several options, which you're encouraged to tweak to suit your setup.
 
-As of 0.11.1, these are the relavent options, all under the `display` namespace,
+As of 0.12, these are the relevant options, all under the `display` namespace,
 (e.g. display.width,  etc'):
 
 - notebook_repr_html: if True, IPython frontends with HTML support will display

doc/source/groupby.rst

@@ -500,7 +500,7 @@ and that the transformed data contains no NAs.
 Filtration
 ----------
 
-.. versionadded:: 0.11.1
+.. versionadded:: 0.12
 
 The ``filter`` method returns a subset of the original object. Suppose we
 want to take only elements that belong to groups with a group sum greater

doc/source/io.rst

@@ -820,7 +820,7 @@ rows will skip the interveaing rows.
    print open('mi.csv').read()
    pd.read_csv('mi.csv',header=[0,1,2,3],index_col=[0,1],tupleize_cols=False)
 
-Note: The default behavior in 0.11.1 remains unchanged (``tupleize_cols=True``),
+Note: The default behavior in 0.12 remains unchanged (``tupleize_cols=True``),
 but starting with 0.12, the default *to* write and read multi-index columns will be in the new 
 format (``tupleize_cols=False``)
 
@@ -1126,7 +1126,7 @@ Reading HTML Content
 
 .. _io.read_html:
 
-.. versionadded:: 0.11.1
+.. versionadded:: 0.12
 
 The top-level :func:`~pandas.io.html.read_html` function can accept an HTML
 string/file/url and will parse HTML tables into list of pandas DataFrames.
@@ -1501,7 +1501,7 @@ advanced strategies
 
 .. note::
 
-   The prior method of accessing Excel is now deprecated as of 0.11.1,
+   The prior method of accessing Excel is now deprecated as of 0.12,
    this will work but will be removed in a future version.
 
       .. code-block:: python
@@ -1935,7 +1935,7 @@ The default is 50,000 rows returned in a chunk.
 
 .. note::
 
-   .. versionadded:: 0.11.1
+   .. versionadded:: 0.12
 
    You can also use the iterator with ``read_hdf`` which will open, then
    automatically close the store when finished iterating.
@@ -2443,7 +2443,7 @@ Reading from STATA format
 
 .. _io.stata_reader:
 
-.. versionadded:: 0.11.1
+.. versionadded:: 0.12
 
 The top-level function ``read_stata`` will read a dta format file
 and return a DataFrame:

doc/source/release.rst

@@ -24,7 +24,7 @@ Where to get it
 * Binary installers on PyPI: http://pypi.python.org/pypi/pandas
 * Documentation: http://pandas.pydata.org
 
-pandas 0.11.1
+pandas 0.12
 =============
 
 **Release date:** not-yet-released
@@ -40,9 +40,9 @@ pandas 0.11.1
   - Added support for writing in ``to_csv`` and reading in ``read_csv``,
     multi-index columns. The ``header`` option in ``read_csv`` now accepts a
     list of the rows from which to read the index. Added the option,
-    ``tupleize_cols`` to provide compatiblity for the pre 0.11.1 behavior of
+    ``tupleize_cols`` to provide compatiblity for the pre 0.12 behavior of
     writing and reading multi-index columns via a list of tuples. The default in
-    0.11.1 is to write lists of tuples and *not* interpret list of tuples as a
+    0.12 is to write lists of tuples and *not* interpret list of tuples as a
     multi-index column.
     Note: The default value will change in 0.12 to make the default *to* write and
     read multi-index columns in the new format. (:issue:`3571`, :issue:`1651`, :issue:`3141`)
@@ -146,7 +146,7 @@ pandas 0.11.1
   - Deprecated display.height, display.width is now only a formatting option
     does not control triggering of summary, similar to < 0.11.0.
   - Add the keyword ``allow_duplicates`` to ``DataFrame.insert`` to allow a duplicate column
-    to be inserted if ``True``, default is ``False`` (same as prior to 0.11.1) (:issue:`3679`)
+    to be inserted if ``True``, default is ``False`` (same as prior to 0.12) (:issue:`3679`)
   - io API changes
 
     - added ``pandas.io.api`` for i/o imports
@@ -282,7 +282,6 @@ pandas 0.11.1
   - Fix ``Series.clip`` for datetime series. NA/NaN threshold values will now throw ValueError (:issue:`3996`)
   - Fixed insertion issue into DataFrame, after rename (:issue:`4032`)
 
-.. _Gh3616: https://github.com/pydata/pandas/issues/3616
 
 pandas 0.11.0
 =============

doc/source/v0.11.1.txt doc/source/v0.12.0.txtdoc/source/v0.11.1.txt renamed to doc/source/v0.12.0.txt

@@ -1,6 +1,6 @@
-.. _whatsnew_0111:
+.. _whatsnew_0120:
 
-v0.11.1 (June ??, 2013)
+v0.12.0 (June ??, 2013)
 ------------------------
 
 This is a minor release from 0.11.0 and includes several new features and
@@ -107,7 +107,7 @@ API changes
     performs conversion by default. (:issue:`3907`)
 
   - Add the keyword ``allow_duplicates`` to ``DataFrame.insert`` to allow a duplicate column
-    to be inserted if ``True``, default is ``False`` (same as prior to 0.11.1) (:issue:`3679`)
+    to be inserted if ``True``, default is ``False`` (same as prior to 0.12) (:issue:`3679`)
   - Implement ``__nonzero__`` for ``NDFrame`` objects (:issue:`3691`, :issue:`3696`)
 
   - IO api
@@ -195,12 +195,12 @@ I/O Enhancements
       list of the rows from which to read the index.
 
     - The option, ``tupleize_cols`` can now be specified in both ``to_csv`` and
-      ``read_csv``, to provide compatiblity for the pre 0.11.1 behavior of
+      ``read_csv``, to provide compatiblity for the pre 0.12 behavior of
       writing and reading multi-index columns via a list of tuples. The default in
-      0.11.1 is to write lists of tuples and *not* interpret list of tuples as a 
+      0.12 is to write lists of tuples and *not* interpret list of tuples as a 
       multi-index column.  
 
-      Note: The default behavior in 0.11.1 remains unchanged, but starting with 0.12,
+      Note: The default behavior in 0.12 remains unchanged, but starting with 0.13,
       the default *to* write and read multi-index columns will be in the new 
       format. (:issue:`3571`, :issue:`1651`, :issue:`3141`)
 

doc/source/whatsnew.rst

@@ -16,7 +16,7 @@ What's New
 
 These are new features and improvements of note in each release.
 
-.. include:: v0.11.1.txt
+.. include:: v0.12.0.txt
 
 .. include:: v0.11.0.txt
 

pandas/core/api.py

@@ -28,7 +28,7 @@
 
 # legacy
 from pandas.core.daterange import DateRange  # deprecated
-from pandas.core.common import save, load # deprecated, remove in 0.12
+from pandas.core.common import save, load # deprecated, remove in 0.13
 import pandas.core.datetools as datetools
 
 from pandas.core.config import get_option, set_option, reset_option,\

pandas/core/common.py

@@ -2076,7 +2076,7 @@ def console_encode(object, **kwds):
     return pprint_thing_encoded(object,
                                 get_option("display.encoding"))
 
-def load(path):  # TODO remove in 0.12
+def load(path):  # TODO remove in 0.13
     """
     Load pickled pandas object (or any other pickled object) from the specified
     file path
@@ -2098,7 +2098,7 @@ def load(path):  # TODO remove in 0.12
     from pandas.io.pickle import read_pickle
     return read_pickle(path)
 
-def save(obj, path):  # TODO remove in 0.12
+def save(obj, path):  # TODO remove in 0.13
     '''
     Pickle (serialize) object to input file path
 

pandas/core/format.py

@@ -793,7 +793,7 @@ def __init__(self, obj, path_or_buf, sep=",", na_rep='', float_format=None,
                  line_terminator='\n', chunksize=None, engine=None,
                  tupleize_cols=True):
 
-        self.engine = engine  # remove for 0.12
+        self.engine = engine  # remove for 0.13
         self.obj = obj
 
         self.path_or_buf = path_or_buf
@@ -962,7 +962,7 @@ def save(self):
                                          delimiter=self.sep, quoting=self.quoting)
 
             if self.engine == 'python':
-            # to be removed in 0.12
+            # to be removed in 0.13
                 self._helper_csv(self.writer, na_rep=self.na_rep,
                                  float_format=self.float_format, cols=self.cols,
                                  header=self.header, index=self.index,

pandas/core/frame.py

@@ -568,14 +568,14 @@ def _wrap_array(self, arr, axes, copy=False):
     def _verbose_info(self):
         import warnings
         warnings.warn('The _verbose_info property will be removed in version '
-                      '0.12. please use "max_info_rows"', FutureWarning)
+                      '0.13. please use "max_info_rows"', FutureWarning)
         return get_option('display.max_info_rows') is None
 
     @_verbose_info.setter
     def _verbose_info(self, value):
         import warnings
         warnings.warn('The _verbose_info property will be removed in version '
-                      '0.12. please use "max_info_rows"', FutureWarning)
+                      '0.13. please use "max_info_rows"', FutureWarning)
 
         value = None if value else 1000000
         set_option('display.max_info_rows', value)
@@ -3593,12 +3593,12 @@ def replace(self, to_replace=None, value=None, inplace=False, limit=None,
         if method is not None:
             from warnings import warn
             warn('the "method" argument is deprecated and will be removed in'
-                 'v0.12; this argument has no effect')
+                 'v0.13; this argument has no effect')
 
         if axis is not None:
             from warnings import warn
             warn('the "axis" argument is deprecated and will be removed in'
-                 'v0.12; this argument has no effect')
+                 'v0.13; this argument has no effect')
 
         self._consolidate_inplace()
 
@@ -3733,7 +3733,7 @@ def interpolate(self, to_replace, method='pad', axis=0, inplace=False,
         reindex, replace, fillna
         """
         from warnings import warn
-        warn('DataFrame.interpolate will be removed in v0.12, please use '
+        warn('DataFrame.interpolate will be removed in v0.13, please use '
              'either DataFrame.fillna or DataFrame.replace instead',
              FutureWarning)
         if self._is_mixed_type and axis == 1: