v0.6.0.rst

v.0.6.0 (november 25, 2011)

{{ header }}

.. ipython:: python
   :suppress:

   from pandas import * # noqa F401, F403

New features

• :ref:`Added <reshaping.melt>` melt function to pandas.core.reshape
• :ref:`Added <groupby.multiindex>` level parameter to group by level in Series and DataFrame descriptive statistics (:issue:`313`)
• :ref:`Added <basics.head_tail>` head and tail methods to Series, analogous to to DataFrame (:issue:`296`)
• :ref:`Added <indexing.boolean>` Series.isin function which checks if each value is contained in a passed sequence (:issue:`289`)
• :ref:`Added <io.formatting>` float_format option to Series.to_string
• :ref:`Added <io.parse_dates>` skip_footer (:issue:`291`) and converters (:issue:`343`) options to read_csv and read_table
• :ref:`Added <indexing.duplicate>` drop_duplicates and duplicated functions for removing duplicate DataFrame rows and checking for duplicate rows, respectively (:issue:`319`)
• :ref:`Implemented <dsintro.boolean>` operators '&', '|', '^', '-' on DataFrame (:issue:`347`)
• :ref:`Added <basics.stats>` Series.mad, mean absolute deviation
• :ref:`Added <timeseries.offsets>` QuarterEnd DateOffset (:issue:`321`)
• :ref:`Added <dsintro.numpy_interop>` dot to DataFrame (:issue:`65`)
• Added orient option to Panel.from_dict (:issue:`359`, :issue:`301`)
• :ref:`Added <basics.dataframe.from_dict>` orient option to DataFrame.from_dict
• :ref:`Added <basics.dataframe.from_records>` passing list of tuples or list of lists to DataFrame.from_records (:issue:`357`)
• :ref:`Added <groupby.multiindex>` multiple levels to groupby (:issue:`103`)
• :ref:`Allow <basics.sorting>` multiple columns in by argument of DataFrame.sort_index (:issue:`92`, :issue:`362`)
• :ref:`Added <indexing.basics.get_value>` fast get_value and put_value methods to DataFrame (:issue:`360`)
• :ref:`Added <computation.covariance>` cov instance methods to Series and DataFrame (:issue:`194`, :issue:`362`)
• :ref:`Added <visualization.barplot>` kind='bar' option to DataFrame.plot (:issue:`348`)
• :ref:`Added <basics.idxmin>` idxmin and idxmax to Series and DataFrame (:issue:`286`)
• :ref:`Added <io.clipboard>` read_clipboard function to parse DataFrame from clipboard (:issue:`300`)
• :ref:`Added <basics.stats>` nunique function to Series for counting unique elements (:issue:`297`)
• :ref:`Made <basics.dataframe>` DataFrame constructor use Series name if no columns passed (:issue:`373`)
• :ref:`Support <io.parse_dates>` regular expressions in read_table/read_csv (:issue:`364`)
• :ref:`Added <io.html>` DataFrame.to_html for writing DataFrame to HTML (:issue:`387`)
• :ref:`Added <basics.dataframe>` support for MaskedArray data in DataFrame, masked values converted to NaN (:issue:`396`)
• :ref:`Added <visualization.box>` DataFrame.boxplot function (:issue:`368`)
• :ref:`Can <basics.apply>` pass extra args, kwds to DataFrame.apply (:issue:`376`)
• :ref:`Implement <merging.multikey_join>` DataFrame.join with vector on argument (:issue:`312`)
• :ref:`Added <visualization.basic>` legend boolean flag to DataFrame.plot (:issue:`324`)
• :ref:`Can <reshaping.stacking>` pass multiple levels to stack and unstack (:issue:`370`)
• :ref:`Can <reshaping.pivot>` pass multiple values columns to pivot_table (:issue:`381`)
• :ref:`Use <groupby.multiindex>` Series name in GroupBy for result index (:issue:`363`)
• :ref:`Added <basics.apply>` raw option to DataFrame.apply for performance if only need ndarray (:issue:`309`)
• Added proper, tested weighted least squares to standard and panel OLS (:issue:`303`)

Performance enhancements

• VBENCH Cythonized cache_readonly, resulting in substantial micro-performance enhancements throughout the code base (:issue:`361`)
• VBENCH Special Cython matrix iterator for applying arbitrary reduction operations with 3-5x better performance than np.apply_along_axis (:issue:`309`)
• VBENCH Improved performance of MultiIndex.from_tuples
• VBENCH Special Cython matrix iterator for applying arbitrary reduction operations
• VBENCH + DOCUMENT Add raw option to DataFrame.apply for getting better performance when
• VBENCH Faster cythonized count by level in Series and DataFrame (:issue:`341`)
• VBENCH? Significant GroupBy performance enhancement with multiple keys with many "empty" combinations
• VBENCH New Cython vectorized function map_infer speeds up Series.apply and Series.map significantly when passed elementwise Python function, motivated by (:issue:`355`)
• VBENCH Significantly improved performance of Series.order, which also makes np.unique called on a Series faster (:issue:`327`)
• VBENCH Vastly improved performance of GroupBy on axes with a MultiIndex (:issue:`299`)

Contributors

.. contributors:: v0.5.0..v0.6.0