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v0.16.0.txt
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.. _whatsnew_0160:
v0.16.0 (February ??, 2015)
---------------------------
This is a major release from 0.15.2 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:
- Check the :ref:`API Changes <whatsnew_0160.api>` and :ref:`deprecations <whatsnew_0160.deprecations>` before updating
- :ref:`Other Enhancements <whatsnew_0160.enhancements>`
- :ref:`Performance Improvements <whatsnew_0160.performance>`
- :ref:`Bug Fixes <whatsnew_0160.bug_fixes>`
New features
~~~~~~~~~~~~
.. _whatsnew_0160.api:
.. _whatsnew_0160.api_breaking:
Backwards incompatible API changes
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. _whatsnew_0160.api_breaking.timedelta:
- In v0.15.0 a new scalar type ``Timedelta`` was introduced, that is a
sub-class of ``datetime.timedelta``.
Mentioned :ref:`here <whatsnew_0150.timedeltaindex>` was a notice of an API
change w.r.t. the ``.seconds`` accessor. The intent was to provide a
user-friendly set of accessors that give the 'natural' value for that unit,
e.g. if you had a ``Timedelta('1 day, 10:11:12')``, then ``.seconds`` would
return 12. However, this is at odds with the definition of
``datetime.timedelta``, which defines ``.seconds`` as
``10 * 3600 + 11 * 60 + 12 == 36672``.
So in v0.16.0, we are restoring the API to match that of
``datetime.timedelta``. Further, the component values are still available
through the ``.components`` accessor. This affects the ``.seconds`` and
``.microseconds`` accessors, and removes the ``.hours``, ``.minutes``,
``.milliseconds`` accessors. These changes affect ``TimedeltaIndex``
and the Series ``.dt`` accessor as well. (:issue:`9185`, :issue:`9139`)
Previous Behavior
.. code-block:: python
In [2]: t = pd.Timedelta('1 day, 10:11:12.100123')
In [3]: t.days
Out[3]: 1
In [4]: t.seconds
Out[4]: 12
In [5]: t.microseconds
Out[5]: 123
New Behavior
.. ipython:: python
t = pd.Timedelta('1 day, 10:11:12.100123')
t.days
t.seconds
t.microseconds
Using ``.components`` allows the full component access
.. ipython:: python
t.components
t.components.seconds
- ``Index.duplicated`` now returns ``np.array(dtype=bool)`` rather than ``Index(dtype=object)`` containing ``bool`` values. (:issue:`8875`)
- ``DataFrame.to_json`` now returns accurate type serialisation for each column for frames of mixed dtype (:issue:`9037`)
Previously data was coerced to a common dtype before serialisation, which for
example resulted in integers being serialised to floats:
.. code-block:: python
In [2]: pd.DataFrame({'i': [1,2], 'f': [3.0, 4.2]}).to_json()
Out[2]: '{"f":{"0":3.0,"1":4.2},"i":{"0":1.0,"1":2.0}}'
Now each column is serialised using its correct dtype:
.. code-block:: python
In [2]: pd.DataFrame({'i': [1,2], 'f': [3.0, 4.2]}).to_json()
Out[2]: '{"f":{"0":3.0,"1":4.2},"i":{"0":1,"1":2}}'
- ``DatetimeIndex``, ``PeriodIndex`` and ``TimedeltaIndex.summary`` now output the same format. (:issue:`9116`)
- ``TimedeltaIndex.freqstr`` now output the same string format as ``DatetimeIndex``. (:issue:`9116`)
- Bar and horizontal bar plots no longer add a dashed line along the info axis.
The prior style can be achieved with matplotlib's ``axhline`` or ``axvline``
methods (:issue:`9088`).
- ``Series`` now supports bitwise operation for integral types (:issue:`9016`)
Previously even if the input dtypes where integral, the output dtype was coerced to ``bool``.
.. code-block:: python
In [2]: pd.Series([0,1,2,3], list('abcd')) | pd.Series([4,4,4,4], list('abcd'))
Out[2]:
a True
b True
c True
d True
dtype: bool
Now if the input dtypes are integral, the output dtype is also integral and the output
values are the result of the bitwise operation.
.. code-block:: python
In [2]: pd.Series([0,1,2,3], list('abcd')) | pd.Series([4,4,4,4], list('abcd'))
Out[2]:
a 4
b 5
c 6
d 7
dtype: int64
- During division involving a ``Series`` or ``DataFrame``, ``0/0`` and ``0//0`` now give ``np.nan`` instead of ``np.inf``. (:issue:`9144`, :issue:`8445`)
Previous Behavior
.. code-block:: python
In [2]: p = pd.Series([0, 1])
In [3]: p / 0
Out[3]:
0 inf
1 inf
dtype: float64
In [4]: p // 0
Out[4]:
0 inf
1 inf
dtype: float64
New Behavior
.. ipython:: python
p = pd.Series([0, 1])
p / 0
p // 0
Deprecations
~~~~~~~~~~~~
.. _whatsnew_0160.deprecations:
Enhancements
~~~~~~~~~~~~
.. _whatsnew_0160.enhancements:
- Paths beginning with ~ will now be expanded to begin with the user's home directory (:issue:`9066`)
- Added time interval selection in ``get_data_yahoo`` (:issue:`9071`)
- Added ``Series.str.slice_replace()``, which previously raised ``NotImplementedError`` (:issue:`8888`)
- Added ``Timestamp.to_datetime64()`` to complement ``Timedelta.to_timedelta64()`` (:issue:`9255`)
- ``tseries.frequencies.to_offset()`` now accepts ``Timedelta`` as input (:issue:`9064`)
- Lag parameter was added to the autocorrelation method of ``Series``, defaults to lag-1 autocorrelation (:issue:`9192`)
- ``Timedelta`` will now accept ``nanoseconds`` keyword in constructor (:issue:`9273`)
- SQL code now safely escapes table and column names (:issue:`8986`)
- Added auto-complete for ``Series.str.<tab>``, ``Series.dt.<tab>`` and ``Series.cat.<tab>`` (:issue:`9322`)
- Added ``StringMethods.isalnum()``, ``isalpha()``, ``isdigit()``, ``isspace()``, ``islower()``,
``isupper()``, ``istitle()`` which behave as the same as standard ``str`` (:issue:`9282`)
- Added ``StringMethods.find()`` and ``rfind()`` which behave as the same as standard ``str`` (:issue:`9386`)
- Added ``StringMethods.isnumeric`` and ``isdecimal`` which behave as the same as standard ``str`` (:issue:`9439`)
- Added ``StringMethods.ljust()`` and ``rjust()`` which behave as the same as standard ``str`` (:issue:`9352`)
- ``StringMethods.pad()`` and ``center()`` now accept ``fillchar`` option to specify filling character (:issue:`9352`)
- Added ``StringMethods.zfill()`` which behave as the same as standard ``str`` (:issue:`9387`)
Performance
~~~~~~~~~~~
.. _whatsnew_0160.performance:
- Fixed a performance regression for ``.loc`` indexing with an array or list-like (:issue:`9126`:).
- ``DataFrame.to_json`` 30x performance improvement for mixed dtype frames. (:issue:`9037`)
- Performance improvements in ``MultiIndex.duplicated`` by working with labels instead of values (:issue:`9125`)
- Improved the speed of ``nunique`` by calling ``unique`` instead of ``value_counts`` (:issue:`9129`, :issue:`7771`)
- Performance improvement of up to 10x in ``DataFrame.count`` and ``DataFrame.dropna`` by taking advantage of homogeneous/heterogeneous dtypes appropriately (:issue:`9136`)
- Performance improvement of up to 20x in ``DataFrame.count`` when using a ``MultiIndex`` and the ``level`` keyword argument (:issue:`9163`)
- Performance and memory usage improvements in ``merge`` when key space exceeds ``int64`` bounds (:issue:`9151`)
- Performance improvements in multi-key ``groupby`` (:issue:`9429`)
- Performance improvements in ``MultiIndex.sortlevel`` (:issue:`9445`)
- Performance and memory usage improvements in ``DataFrame.duplicated`` (:issue:`9398`)
- Cythonized ``Period`` (:issue:`9440`)
Bug Fixes
~~~~~~~~~
.. _whatsnew_0160.bug_fixes:
- Fixed issue using ``read_csv`` on s3 with Python 3.
- Fixed compatibility issue in ``DatetimeIndex`` affecting architectures where ``numpy.int_`` defaults to ``numpy.int32`` (:issue:`8943`)
- Bug in Panel indexing with an object-like (:issue:`9140`)
- Bug in the returned ``Series.dt.components`` index was reset to the default index (:issue:`9247`)
- Bug in ``Categorical.__getitem__/__setitem__`` with listlike input getting incorrect results from indexer coercion (:issue:`9469`)
- Bug in partial setting with a DatetimeIndex (:issue:`9478`)
- Bug in groupby for integer and datetime64 columns when applying an aggregator that caused the value to be
changed when the number was sufficiently large (:issue:`9311`, :issue:`6620`)
- Fixed bug in ``to_sql`` when mapping a ``Timestamp`` object column (datetime
column with timezone info) to the according sqlalchemy type (:issue:`9085`).
- Fixed bug in ``to_sql`` ``dtype`` argument not accepting an instantiated
SQLAlchemy type (:issue:`9083`).
- Items in ``Categorical.unique()`` (and ``s.unique()`` if ``s`` is of dtype ``category``) now appear in the order in which they are originally found, not in sorted order (:issue:`9331`). This is now consistent with the behavior for other dtypes in pandas.
- Fixed bug on bug endian platforms which produced incorrect results in ``StataReader`` (:issue:`8688`).
- Bug in ``MultiIndex.has_duplicates`` when having many levels causes an indexer overflow (:issue:`9075`, :issue:`5873`)
- Bug in ``pivot`` and ``unstack`` where ``nan`` values would break index alignment (:issue:`4862`, :issue:`7401`, :issue:`7403`, :issue:`7405`, :issue:`7466`)
- Bug in left ``join`` on multi-index with ``sort=True`` or null values (:issue:`9210`).
- Bug in ``MultiIndex`` where inserting new keys would fail (:issue:`9250`).
- Bug in ``groupby`` when key space exceeds ``int64`` bounds (:issue:`9096`).
- Bug in ``unstack`` with ``TimedeltaIndex`` or ``DatetimeIndex`` and nulls (:issue:`9491`).
- Fixed character encoding bug in ``read_stata`` and ``StataReader`` when loading data from a URL (:issue:`9231`).
- Bug in adding ``offsets.Nano`` to other offets raises ``TypeError`` (:issue:`9284`)
- Bug in ``DatetimeIndex`` iteration, related to (:issue:`8890`), fixed in (:issue:`9100`)
- Bug in boxplot, scatter and hexbin plot may show an unnecessary warning (:issue:`8877`)
- Bug in using grouper functions that need passed thru arguments (e.g. axis), when using wrapped function (e.g. ``fillna``), (:issue:`9221`)
- ``DataFrame`` now properly supports simultaneous ``copy`` and ``dtype`` arguments in constructor (:issue:`9099`)
- Bug in ``read_csv`` when using skiprows on a file with CR line endings with the c engine. (:issue:`9079`)
- ``isnull`` now detects ``NaT`` in ``PeriodIndex`` (:issue:`9129`)
- Bug in groupby ``.nth()`` with a multiple column groupby (:issue:`8979`)
- Bug in ``DataFrame.where`` and ``Series.where`` coerce numerics to string incorrectly (:issue:`9280`)
- Bug in ``DataFrame.where`` and ``Series.where`` raise ``ValueError`` when string list-like is passed. (:issue:`9280`)
- Accessing ``Series.str`` methods on with non-string values now raises ``TypeError`` instead of producing incorrect results (:issue:`9184`)
- Fixed division by zero error for ``Series.kurt()`` when all values are equal (:issue:`9197`)
- Fixed issue in the ``xlsxwriter`` engine where it added a default 'General' format to cells if no other format wass applied. This prevented other row or column formatting being applied. (:issue:`9167`)
- Fixes issue with ``index_col=False`` when ``usecols`` is also specified in ``read_csv``. (:issue:`9082`)
- Bug where ``wide_to_long`` would modify the input stubnames list (:issue:`9204`)
- Bug in ``to_sql`` not storing float64 values using double precision. (:issue:`9009`)
- ``SparseSeries`` and ``SparsePanel`` now accept zero argument constructors (same as their non-sparse counterparts) (:issue:`9272`).
- Bug in ``read_csv`` with buffer overflows with certain malformed input files (:issue:`9205`)
- Bug in groupby MultiIndex with missing pair (:issue:`9049`, :issue:`9344`)
- Fixed bug in ``Series.groupby`` where grouping on ``MultiIndex`` levels would ignore the sort argument (:issue:`9444`)
- Fix bug in ``DataFrame.Groupby`` where sort=False is ignored in case of Categorical columns. (:issue:`8868`)