Version 0.6.0 (November 25, 2011) — pandas 2.2.3 documentation (original) (raw)

New features#

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

Performance enhancements#

• VBENCH Cythonized cache_readonly, resulting in substantial micro-performance enhancements throughout the code base (GH 361)
• VBENCH Special Cython matrix iterator for applying arbitrary reduction operations with 3-5x better performance than np.apply_along_axis (GH 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 (GH 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 (GH 355)
• VBENCH Significantly improved performance of Series.order, which also makes np.unique called on a Series faster (GH 327)
• VBENCH Vastly improved performance of GroupBy on axes with a MultiIndex (GH 299)

Contributors#

A total of 8 people contributed patches to this release. People with a “+” by their names contributed a patch for the first time.

• Adam Klein +
• Chang She +
• Dieter Vandenbussche
• Jeff Hammerbacher +
• Nathan Pinger +
• Thomas Kluyver
• Wes McKinney
• Wouter Overmeire +