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v0.14.1.txt
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.. _whatsnew_0141:
v0.14.1 (???)
-------------
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. We recommend that all
users upgrade to this version.
- Highlights include:
- Support for ``dateutil`` timezones. See :ref:`Here <whatsnew_0141.enhancements>`
- :ref:`Other Enhancements <whatsnew_0141.enhancements>`
- :ref:`API Changes <whatsnew_0141.api>`
- :ref:`Performance Improvements <whatsnew_0141.performance>`
- :ref:`Prior Deprecations <whatsnew_0141.prior_deprecations>`
- :ref:`Deprecations <whatsnew_0141.deprecations>`
- :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``. See :issue:`7376`. Instead
when comparing a ``Period`` with another object using ``==`` if the other
object isn't a ``Period`` ``False`` is returned.
- Bug in ``.loc`` performing fallback integer indexing with ``object`` dtype indices (:issue:`7496`)
.. _whatsnew_0141.prior_deprecations:
Prior Version Deprecations/Changes
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
There are no prior version deprecations that are taking effect as of 0.14.1.
.. _whatsnew_0141.deprecations:
Deprecations
~~~~~~~~~~~~
There are no deprecations that are taking effect as of 0.14.1.
.. _whatsnew_0141.enhancements:
Enhancements
~~~~~~~~~~~~
- Add ``dropna`` argument to ``value_counts`` and ``nunique`` (:issue:`5569`).
- 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`).
- Support for dateutil timezones, which can now be used in the same way as
pytz timezones across pandas. (:issue:`4688`)
.. ipython:: python
rng = date_range('3/6/2012 00:00', periods=10, freq='D',
tz='dateutil/Europe/London')
rng.tz
See :ref:`the docs <timeseries.timezone>`.
- Implemented ``sem`` (standard error of the mean) operation for ``Series``,
``DataFrame``, ``Panel``, and ``Groupby`` (:issue:`6897`)
- 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`)
.. _whatsnew_0141.performance:
Performance
~~~~~~~~~~~
- Improvements in dtype inference for numeric operations involving yielding performance gains for dtypes: ``int64``, ``timedelta64``, ``datetime64`` (:issue:`7223`)
- Improvements in Series.transform for significant performance gains (:issue:`6496`)
- Improvements in DataFrame.transform with ufuncs and built-in grouper functions for signifcant performance gains (:issue:`7383`)
Experimental
~~~~~~~~~~~~
``pandas.io.data.Options`` has a get_all_data method and now consistently returns a multi-indexed ``DataFrame`` (:issue:`5602`)
See :ref:`the docs<remote_data.yahoo_Options>` ***Experimental***
.. ipython:: python
from pandas.io.data import Options
aapl = Options('aapl', 'yahoo')
data = aapl.get_all_data()
data.iloc[0:5, 0:5]
.. _whatsnew_0141.bug_fixes:
Bug Fixes
~~~~~~~~~
- Bug in ``DataFrame.where`` with a symmetric shaped frame and a passed other of a DataFrame (:issue:`7506`)
- Bug in Panel indexing with a multi-index axis (:issue:`7516`)
- Regression in datetimelike slice indexing with a duplicated index and non-exact end-points (:issue:`7523`)
- Bug in timeops with non-aligned Series (:issue:`7500`)
- Bug in ``value_counts`` where ``NaT`` did not qualify as missing (``NaN``) (:issue:`7423`)
- 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`)
- Bug in ``Index.min`` and ``max`` doesn't handle ``nan`` and ``NaT`` properly (:issue:`7261`)
- Bug in ``resample`` where ``fill_method`` was ignored if you passed ``how`` (:issue:`7261`)
- Bug in ``TimeGrouper`` doesn't exclude column specified by ``key`` (:issue:`7227`)
- Bug in ``DataFrame`` and ``Series`` bar and barh plot raises ``TypeError`` when ``bottom``
and ``left`` keyword is specified (:issue:`7226`)
- BUG in ``DataFrame.hist`` raises ``TypeError`` when it contains non numeric column (:issue:`7277`)
- BUG in ``Index.delete`` does not preserve ``name`` and ``freq`` attributes (:issue:`7302`)
- Bug in ``DataFrame.query()``/``eval`` where local string variables with the @
sign were being treated as temporaries attempting to be deleted
(:issue:`7300`).
- Bug in ``Float64Index`` which didn't allow duplicates (:issue:`7149`).
- Bug in ``DataFrame.replace()`` where truthy values were being replaced
(:issue:`7140`).
- Bug in ``StringMethods.extract()`` where a single match group Series
would use the matcher's name instead of the group name (:issue:`7313`).
- Bug in ``isnull()`` when ``mode.use_inf_as_null == True`` where isnull
wouldn't test ``True`` when it encountered an ``inf``/``-inf``
(:issue:`7315`).
- Bug in inferred_freq results in None for eastern hemisphere timezones (:issue:`7310`)
- Bug in ``Easter`` returns incorrect date when offset is negative (:issue:`7195`)
- Bug in broadcasting with ``.div``, integer dtypes and divide-by-zero (:issue:`7325`)
- Bug in ``CustomBusinessDay.apply`` raiases ``NameError`` when ``np.datetime64`` object is passed (:issue:`7196`)
- Bug in ``MultiIndex.append``, ``concat`` and ``pivot_table`` don't preserve timezone (:issue:`6606`)
- Bug in ``.loc`` with a list of indexers on a single-multi index level (that is not nested) (:issue:`7349`)
- Bug in ``Series.map`` when mapping a dict with tuple keys of different lengths (:issue:`7333`)
- Bug all ``StringMethods`` now work on empty Series (:issue:`7242`)
- Fix delegation of `read_sql` to `read_sql_query` when query does not contain 'select' (:issue:`7324`).
- Bug where a string column name assignment to a ``DataFrame`` with a
``Float64Index`` raised a ``TypeError`` during a call to ``np.isnan``
(:issue:`7366`).
- Bug where ``NDFrame.replace()`` didn't correctly replace objects with
``Period`` values (:issue:`7379`).
- Bug in ``.ix`` getitem should always return a Series (:issue:`7150`)
- Bug in multi-index slicing with incomplete indexers (:issue:`7399`)
- Bug in multi-index slicing with a step in a sliced level (:issue:`7400`)
- Bug where negative indexers in ``DatetimeIndex`` were not correctly sliced
(:issue:`7408`)
- Bug where ``NaT`` wasn't repr'd correctly in a ``MultiIndex`` (:issue:`7406`,
:issue:`7409`).
- Bug where bool objects were converted to ``nan`` in ``convert_objects``
(:issue:`7416`).
- Bug in ``quantile`` ignoring the axis keyword argument (:issue`7306`)
- Bug where ``nanops._maybe_null_out`` doesn't work with complex numbers
(:issue:`7353`)
- Bug in several ``nanops`` functions when ``axis==0`` for
1-dimensional ``nan`` arrays (:issue:`7354`)
- Bug where ``nanops.nanmedian`` doesn't work when ``axis==None``
(:issue:`7352`)
- Bug where ``nanops._has_infs`` doesn't work with many dtypes
(:issue:`7357`)
- 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 ``resample`` raises ``ValueError`` when target contains ``NaT`` (:issue:`7227`)
- Bug in ``Timestamp.tz_localize`` resets ``nanosecond`` info (:issue:`7534`)
- 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 non-monotonic ``Index.union`` may preserve ``name`` incorrectly (:issue:`7458`)
- Bug in ``DatetimeIndex.intersection`` doesn't preserve timezone (:issue:`4690`)