v0.9.0.txt

.. _whatsnew_0900:

.. ipython:: python
   :suppress:

   from pandas.compat import StringIO

v0.9.0 (October 7, 2012)
------------------------

This is a major release from 0.8.1 and includes several new features and
enhancements along with a large number of bug fixes. New features include
vectorized unicode encoding/decoding for `Series.str`, `to_latex` method to
DataFrame, more flexible parsing of boolean values, and enabling the download of
options data from Yahoo! Finance.

New features
~~~~~~~~~~~~

  - Add ``encode`` and ``decode`` for unicode handling to :ref:`vectorized
    string processing methods <basics.string_methods>` in Series.str  (:issue:`1706`)
  - Add ``DataFrame.to_latex`` method (:issue:`1735`)
  - Add convenient expanding window equivalents of all rolling_* ops (:issue:`1785`)
  - Add Options class to pandas.io.data for fetching options data from Yahoo!
    Finance (:issue:`1748`, :issue:`1739`)
  - More flexible parsing of boolean values (Yes, No, TRUE, FALSE, etc)
    (:issue:`1691`, :issue:`1295`)
  - Add ``level`` parameter to ``Series.reset_index``
  - ``TimeSeries.between_time`` can now select times across midnight (:issue:`1871`)
  - Series constructor can now handle generator as input (:issue:`1679`)
  - ``DataFrame.dropna`` can now take multiple axes (tuple/list) as input
    (:issue:`924`)
  - Enable ``skip_footer`` parameter in ``ExcelFile.parse`` (:issue:`1843`)

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

  - The default column names when ``header=None`` and no columns names passed to
    functions like ``read_csv`` has changed to be more Pythonic and amenable to
    attribute access:

.. ipython:: python

   data = '0,0,1\n1,1,0\n0,1,0'
   df = read_csv(StringIO(data), header=None)
   df


- Creating a Series from another Series, passing an index, will cause reindexing
  to happen inside rather than treating the Series like an ndarray. Technically
  improper usages like ``Series(df[col1], index=df[col2])`` that worked before
  "by accident" (this was never intended) will lead to all NA Series in some
  cases. To be perfectly clear:

.. ipython:: python

   s1 = Series([1, 2, 3])
   s1

   s2 = Series(s1, index=['foo', 'bar', 'baz'])
   s2

- Deprecated ``day_of_year`` API removed from PeriodIndex, use ``dayofyear``
  (:issue:`1723`)

- Don't modify NumPy suppress printoption to True at import time

- The internal HDF5 data arrangement for DataFrames has been transposed.  Legacy
  files will still be readable by HDFStore (:issue:`1834`, :issue:`1824`)

- Legacy cruft removed: pandas.stats.misc.quantileTS

- Use ISO8601 format for Period repr: monthly, daily, and on down (:issue:`1776`)

- Empty DataFrame columns are now created as object dtype. This will prevent a
  class of TypeErrors that was occurring in code where the dtype of a column
  would depend on the presence of data or not (e.g. a SQL query having results)
  (:issue:`1783`)

- Setting parts of DataFrame/Panel using ix now aligns input Series/DataFrame
  (:issue:`1630`)

- ``first`` and ``last`` methods in ``GroupBy`` no longer drop non-numeric
  columns (:issue:`1809`)

- Resolved inconsistencies in specifying custom NA values in text parser.
  ``na_values`` of type dict no longer override default NAs unless
  ``keep_default_na`` is set to false explicitly (:issue:`1657`)

- ``DataFrame.dot`` will not do data alignment, and also work with Series
  (:issue:`1915`)


See the :ref:`full release notes
<release>` or issue tracker
on GitHub for a complete list.