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DOC: clean up 0.14.1 whatsnew file #7714

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13 changes: 12 additions & 1 deletion doc/source/release.rst
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Expand Up @@ -50,9 +50,20 @@ pandas 0.14.1

**Release date:** (July 11, 2014)

This is a minor release from 0.14.0 and includes a number of API changes, several new features, enhancements, and
This is a minor release from 0.14.0 and includes a small number of API changes, several new features, enhancements, and
performance improvements along with a large number of bug fixes.

Highlights include:

- New methods :meth:`~pandas.DataFrame.select_dtypes` to select columns
based on the dtype and :meth:`~pandas.Series.sem` to calculate the
standard error of the mean.
- Support for dateutil timezones (see :ref:`docs <timeseries.timezone>`).
- Support for ignoring full line comments in the :func:`~pandas.read_csv`
text parser.
- New documentation section on :ref:`Options and Settings <options>`.
- Lots of bug fixes.

See the :ref:`v0.14.1 Whatsnew <whatsnew_0141>` overview or the issue tracker on GitHub for an extensive list
of all API changes, enhancements and bugs that have been fixed in 0.14.1.

Expand Down
141 changes: 59 additions & 82 deletions doc/source/v0.14.1.txt
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Expand Up @@ -7,108 +7,114 @@ This is a minor release from 0.14.0 and includes a small number of API changes,
enhancements, and performance improvements along with a large number of bug fixes. We recommend that all
users upgrade to this version.

- New Documentation section on :ref:`Options and Settings <options>`
- Highlights include:

- :ref:`Enhancements <whatsnew_0141.enhancements>`
- New methods :meth:`~pandas.DataFrame.select_dtypes` to select columns
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can you add to release.rst as well?

based on the dtype and :meth:`~pandas.Series.sem` to calculate the
standard error of the mean.
- Support for dateutil timezones (see :ref:`docs <timeseries.timezone>`).
- Support for ignoring full line comments in the :func:`~pandas.read_csv`
text parser.
- New documentation section on :ref:`Options and Settings <options>`.
- Lots of bug fixes.

- :ref:`Enhancements <whatsnew_0141.enhancements>`
- :ref:`API Changes <whatsnew_0141.api>`

- :ref:`Performance Improvements <whatsnew_0141.performance>`

- :ref:`Experimental Changes <whatsnew_0141.experimental>`

- :ref:`Bug Fixes <whatsnew_0141.bug_fixes>`

.. _whatsnew_0141.api:

API changes
~~~~~~~~~~~

- All ``offsets`` suppports ``normalize`` keyword to specify whether ``offsets.apply``, ``rollforward`` and ``rollback`` resets time (hour, minute, etc) or not (default ``False``, preserves time) (:issue:`7156`)


.. ipython:: python

import pandas.tseries.offsets as offsets

day = offsets.Day()
day.apply(Timestamp('2014-01-01 09:00'))

day = offsets.Day(normalize=True)
day.apply(Timestamp('2014-01-01 09:00'))

- Improved inference of datetime/timedelta with mixed null objects. Regression from 0.13.1 in interpretation of an object Index
with all null elements (:issue:`7431`)

- Openpyxl now raises a ValueError on construction of the openpyxl writer
instead of warning on pandas import (:issue:`7284`).

- For ``StringMethods.extract``, when no match is found, the result - only
containing ``NaN`` values - now also has ``dtype=object`` instead of
``float`` (:issue:`7242`)

- ``StringMethods`` now work on empty Series (:issue:`7242`)
- ``Period`` objects no longer raise a ``TypeError`` when compared using ``==``
with another object that *isn't* a ``Period``. Instead
when comparing a ``Period`` with another object using ``==`` if the other
object isn't a ``Period`` ``False`` is returned. (:issue:`7376`)

- Bug in ``.loc`` performing fallback integer indexing with ``object`` dtype indices (:issue:`7496`)
- Add back ``#N/A N/A`` as a default NA value in text parsing, (regresion from 0.12) (:issue:`5521`)
- Raise a ``TypeError`` on inplace-setting with a ``.where`` and a non ``np.nan`` value as this is inconsistent
with a set-item expression like ``df[mask] = None`` (:issue:`7656`)

.. _whatsnew_0141.prior_deprecations:

Prior Version Deprecations/Changes
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- Previously, the behaviour on resetting the time or not in
``offsets.apply``, ``rollforward`` and ``rollback`` operations differed
between offsets. With the support of the ``normalize`` keyword for all offsets(see
below) with a default value of False (preserve time), the behaviour changed for certain
offsets (BusinessMonthBegin, MonthEnd, BusinessMonthEnd, CustomBusinessMonthEnd,
BusinessYearBegin, LastWeekOfMonth, FY5253Quarter, LastWeekOfMonth, Easter):

There are no prior version deprecations that are taking effect as of 0.14.1.
.. code-block:: python

.. _whatsnew_0141.deprecations:
In [6]: from pandas.tseries import offsets

Deprecations
~~~~~~~~~~~~
In [7]: d = pd.Timestamp('2014-01-01 09:00')

There are no deprecations that are taking effect as of 0.14.1.
# old behaviour < 0.14.1
In [8]: d + offsets.MonthEnd()
Out[8]: Timestamp('2014-01-31 00:00:00')

.. _whatsnew_0141.enhancements:

Enhancements
~~~~~~~~~~~~



- Add ``dropna`` argument to ``value_counts`` and ``nunique`` (:issue:`5569`).
- Add ``NotImplementedError`` for simultaneous use of ``chunksize`` and ``nrows``
for read_csv() (:issue:`6774`).
Starting from 0.14.1 all offsets preserve time by default. The old
behaviour can be obtained with ``normalize=True``

- ``PeriodIndex`` is represented as the same format as ``DatetimeIndex`` (:issue:`7601`)
.. ipython:: python
:suppress:

import pandas.tseries.offsets as offsets
d = pd.Timestamp('2014-01-01 09:00')

.. ipython:: python

# new behaviour
d + offsets.MonthEnd()
d + offsets.MonthEnd(normalize=True)

Note that for the other offsets the default behaviour did not change.

- Add back ``#N/A N/A`` as a default NA value in text parsing, (regresion from 0.12) (:issue:`5521`)
- Raise a ``TypeError`` on inplace-setting with a ``.where`` and a non ``np.nan`` value as this is inconsistent
with a set-item expression like ``df[mask] = None`` (:issue:`7656`)


.. _whatsnew_0141.enhancements:

Enhancements
~~~~~~~~~~~~

- Add ``dropna`` argument to ``value_counts`` and ``nunique`` (:issue:`5569`).
- Add :meth:`~pandas.DataFrame.select_dtypes` method to allow selection of
columns based on dtype (:issue:`7316`). See :ref:`the docs <basics.selectdtypes>`.
- All ``offsets`` suppports the ``normalize`` keyword to specify whether
``offsets.apply``, ``rollforward`` and ``rollback`` resets the time (hour,
minute, etc) or not (default ``False``, preserves time) (:issue:`7156`):

.. ipython:: python

import pandas.tseries.offsets as offsets

day = offsets.Day()
day.apply(Timestamp('2014-01-01 09:00'))

day = offsets.Day(normalize=True)
day.apply(Timestamp('2014-01-01 09:00'))

- ``PeriodIndex`` is represented as the same format as ``DatetimeIndex`` (:issue:`7601`)
- ``StringMethods`` now work on empty Series (:issue:`7242`)
- The file parsers ``read_csv`` and ``read_table`` now ignore line comments provided by
the parameter `comment`, which accepts only a single character for the C reader.
In particular, they allow for comments before file data begins (:issue:`2685`)
- Add ``NotImplementedError`` for simultaneous use of ``chunksize`` and ``nrows``
for read_csv() (:issue:`6774`).
- Tests for basic reading of public S3 buckets now exist (:issue:`7281`).
- ``read_html`` now sports an ``encoding`` argument that is passed to the
underlying parser library. You can use this to read non-ascii encoded web
pages (:issue:`7323`).
- ``read_excel`` now supports reading from URLs in the same way
that ``read_csv`` does. (:issue:`6809`)


- Support for dateutil timezones, which can now be used in the same way as
pytz timezones across pandas. (:issue:`4688`)

Expand All @@ -125,16 +131,13 @@ Enhancements
- Add ``nlargest`` and ``nsmallest`` to the ``Series`` ``groupby`` whitelist,
which means you can now use these methods on a ``SeriesGroupBy`` object
(:issue:`7053`).



- All offsets ``apply``, ``rollforward`` and ``rollback`` can now handle ``np.datetime64``, previously results in ``ApplyTypeError`` (:issue:`7452`)

- ``Period`` and ``PeriodIndex`` can contain ``NaT`` in its values (:issue:`7485`)
- Support pickling ``Series``, ``DataFrame`` and ``Panel`` objects with
non-unique labels along *item* axis (``index``, ``columns`` and ``items``
respectively) (:issue:`7370`).

- Improved inference of datetime/timedelta with mixed null objects. Regression from 0.13.1 in interpretation of an object Index
with all null elements (:issue:`7431`)

.. _whatsnew_0141.performance:

Expand All @@ -147,25 +150,20 @@ Performance
- Improvements in `MultiIndex.from_product` for large iterables (:issue:`7627`)



.. _whatsnew_0141.experimental:





Experimental
~~~~~~~~~~~~

- ``pandas.io.data.Options`` has a new method, ``get_all_data`` method, and now consistently returns a
multi-indexed ``DataFrame``, see :ref:`the docs <remote_data.yahoo_options>`. (:issue:`5602`)

- ``io.gbq.read_gbq`` and ``io.gbq.to_gbq`` were refactored to remove the
dependency on the Google ``bq.py`` command line client. This submodule
now uses ``httplib2`` and the Google ``apiclient`` and ``oauth2client`` API client
libraries which should be more stable and, therefore, reliable than
``bq.py``. See :ref:`the docs <io.bigquery>`. (:issue:`6937`).


.. _whatsnew_0141.bug_fixes:

Bug Fixes
Expand All @@ -185,10 +183,7 @@ Bug Fixes
- Bug in plotting subplots with ``DataFrame.plot``, ``hist`` clears passed ``ax`` even if the number of subplots is one (:issue:`7391`).
- Bug in plotting subplots with ``DataFrame.boxplot`` with ``by`` kw raises ``ValueError`` if the number of subplots exceeds 1 (:issue:`7391`).
- Bug in subplots displays ``ticklabels`` and ``labels`` in different rule (:issue:`5897`)

- Bug in ``Panel.apply`` with a multi-index as an axis (:issue:`7469`)


- Bug in ``DatetimeIndex.insert`` doesn't preserve ``name`` and ``tz`` (:issue:`7299`)
- Bug in ``DatetimeIndex.asobject`` doesn't preserve ``name`` (:issue:`7299`)
- Bug in multi-index slicing with datetimelike ranges (strings and Timestamps), (:issue:`7429`)
Expand Down Expand Up @@ -246,49 +241,31 @@ Bug Fixes
- Bug in ``StataReader.data`` where reading a 0-observation dta failed (:issue:`7369`)
- Bug in when reading Stata 13 (117) files containing fixed width strings (:issue:`7360`)
- Bug in when writing Stata files where the encoding was ignored (:issue:`7286`)


- Bug in ``DatetimeIndex`` comparison doesn't handle ``NaT`` properly (:issue:`7529`)


- Bug in passing input with ``tzinfo`` to some offsets ``apply``, ``rollforward`` or ``rollback`` resets ``tzinfo`` or raises ``ValueError`` (:issue:`7465`)
- Bug in ``DatetimeIndex.to_period``, ``PeriodIndex.asobject``, ``PeriodIndex.to_timestamp`` doesn't preserve ``name`` (:issue:`7485`)
- Bug in ``DatetimeIndex.to_period`` and ``PeriodIndex.to_timestanp`` handle ``NaT`` incorrectly (:issue:`7228`)

- Bug in ``offsets.apply``, ``rollforward`` and ``rollback`` may return normal ``datetime`` (:issue:`7502`)


- Bug in ``resample`` raises ``ValueError`` when target contains ``NaT`` (:issue:`7227`)

- Bug in ``Timestamp.tz_localize`` resets ``nanosecond`` info (:issue:`7534`)
- Bug in ``DatetimeIndex.asobject`` raises ``ValueError`` when it contains ``NaT`` (:issue:`7539`)
- Bug in ``Timestamp.__new__`` doesn't preserve nanosecond properly (:issue:`7610`)

- Bug in ``Index.astype(float)`` where it would return an ``object`` dtype
``Index`` (:issue:`7464`).
- Bug in ``DataFrame.reset_index`` loses ``tz`` (:issue:`3950`)
- Bug in ``DatetimeIndex.freqstr`` raises ``AttributeError`` when ``freq`` is ``None`` (:issue:`7606`)
- Bug in ``GroupBy.size`` created by ``TimeGrouper`` raises ``AttributeError`` (:issue:`7453`)

- Bug in single column bar plot is misaligned (:issue:`7498`).



- Bug in area plot with tz-aware time series raises ``ValueError`` (:issue:`7471`)

- Bug in non-monotonic ``Index.union`` may preserve ``name`` incorrectly (:issue:`7458`)
- Bug in ``DatetimeIndex.intersection`` doesn't preserve timezone (:issue:`4690`)

- Bug in ``rolling_var`` where a window larger than the array would raise an error(:issue:`7297`)

- Bug with last plotted timeseries dictating ``xlim`` (:issue:`2960`)
- Bug with ``secondary_y`` axis not being considered for timeseries ``xlim`` (:issue:`3490`)

- Bug in ``Float64Index`` assignment with a non scalar indexer (:issue:`7586`)
- Bug in ``pandas.core.strings.str_contains`` does not properly match in a case insensitive fashion when ``regex=False`` and ``case=False`` (:issue:`7505`)

- Bug in ``expanding_cov``, ``expanding_corr``, ``rolling_cov``, and ``rolling_corr`` for two arguments with mismatched index (:issue:`7512`)

- Bug in ``to_sql`` taking the boolean column as text column (:issue:`7678`)
- Bug in grouped `hist` doesn't handle `rot` kw and `sharex` kw properly (:issue:`7234`)
- Bug in ``.loc`` performing fallback integer indexing with ``object`` dtype indices (:issue:`7496`)
- Bug (regression) in ``PeriodIndex`` constructor when passed ``Series`` objects (:issue:`7701`).