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 (GH428)
Added
get_value
andset_value
methods to Series, DataFrame, and Panel for very low-overhead access (>2x faster in many cases) to scalar elements (GH437, GH438).set_value
is capable of producing an enlarged object.Add PyQt table widget to sandbox (GH435)
DataFrame.align can accept Series arguments and an axis option (GH461)
Implement new SparseArray and
SparseList
data structures. SparseSeries now derives from SparseArray (GH463)Implement fast data ranking for Series and DataFrame, fast versions of scipy.stats.rankdata (GH428)
Implement
DataFrame.from_items
alternate constructor (GH444)DataFrame.convert_objects method for inferring better dtypes for object columns (GH302)
Add rolling_corr_pairwise function for computing Panel of correlation matrices (GH189)
Add margins option to pivot_table for computing subgroup aggregates (GH114)
Add
Series.from_csv
function (GH482)Can pass DataFrame/DataFrame and DataFrame/Series to rolling_corr/rolling_cov (GH #462)
MultiIndex.get_level_values can 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)
Contributors¶
A total of 7 people contributed patches to this release. People with a “+” by their names contributed a patch for the first time.
Dieter Vandenbussche
Fernando Perez +
Jev Kuznetsov +
Joon Ro
Ralph Bean +
Wes McKinney
Wouter Overmeire