.. _whatsnew_061: Version 0.6.1 (December 13, 2011) --------------------------------- New features ~~~~~~~~~~~~ - Can append single rows (as Series) to a DataFrame - Add Spearman and Kendall rank correlation options to Series.corr and DataFrame.corr (:issue:`428`) - :ref:`Added ` ``get_value`` and ``set_value`` methods to Series, DataFrame, and Panel for very low-overhead access (>2x faster in many cases) to scalar elements (:issue:`437`, :issue:`438`). ``set_value`` is capable of producing an enlarged object. - Add PyQt table widget to sandbox (:issue:`435`) - DataFrame.align can :ref:`accept Series arguments ` and an :ref:`axis option ` (:issue:`461`) - Implement new :ref:`SparseArray ` and ``SparseList`` data structures. SparseSeries now derives from SparseArray (:issue:`463`) - :ref:`Better console printing options ` (:issue:`453`) - Implement fast data ranking for Series and DataFrame, fast versions of scipy.stats.rankdata (:issue:`428`) - Implement ``DataFrame.from_items`` alternate constructor (:issue:`444`) - DataFrame.convert_objects method for :ref:`inferring better dtypes ` for object columns (:issue:`302`) - Add :ref:`rolling_corr_pairwise ` function for computing Panel of correlation matrices (:issue:`189`) - Add :ref:`margins ` option to :ref:`pivot_table ` for computing subgroup aggregates (:issue:`114`) - Add ``Series.from_csv`` function (:issue:`482`) - :ref:`Can pass ` DataFrame/DataFrame and DataFrame/Series to rolling_corr/rolling_cov (GH #462) - MultiIndex.get_level_values can :ref:`accept the level name ` Performance improvements ~~~~~~~~~~~~~~~~~~~~~~~~ - Improve memory usage of ``DataFrame.describe`` (do not copy data unnecessarily) (PR #425) - Optimize scalar value lookups in the general case by 25% or more in Series and DataFrame - Fix performance regression in cross-sectional count in DataFrame, affecting DataFrame.dropna speed - Column deletion in DataFrame copies no data (computes views on blocks) (GH #158) .. _whatsnew_0.6.1.contributors: Contributors ~~~~~~~~~~~~ .. contributors:: v0.6.0..v0.6.1