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Release Notes

This major release of pandas represents approximately 1 year of continuous development work and brings with it many new features, bug fixes, speed enhancements, and general quality-of-life improvements. The most significant change from the 0.2 release has been the completion of a rigorous unit test suite covering all of the core functionality.

What is it

pandas is a library of labeled data structures, statistical models, and general code for working with time series and cross-sectional data. It was designed with the practical needs of statistical modeling and large, inhomogeneous data sets in mind.

Where to get it

Source code: http://github.com/wesm/pandas Binary installers on PyPI: http://pypi.python.org/pypi/pandas Documentation: http://pandas.sourceforge.net

pandas 0.3.0 release notes

Release date: February 20, 2011

New features / modules

  • DataFrame / DataMatrix classes
  • corrwith function to compute column- or row-wise correlations between two objects
  • Can boolean-index DataFrame objects, e.g. df[df > 2] = 2, px[px > last_px] = 0
  • Added comparison magic methods (__lt__, __gt__, etc.)
  • Flexible explicit arithmetic methods (add, mul, sub, div, etc.)
  • Added reindex_like method
  • WidePanel
  • Added reindex_like method

  • pandas.io: IO utilities * pandas.io.sql module

    • Convenience functions for accessing SQL-like databases
    • pandas.io.pytables module
    • Added (still experimental) HDFStore class for storing pandas data structures using HDF5 / PyTables

  • pandas.core.datetools

  • Added WeekOfMonth date offset
  • pandas.rpy (experimental) module created, provide some interfacing / conversion between rpy2 and pandas

Improvements

  • Unit test coverage: 100% line coverage of core data structures
  • Speed enhancement to rolling_{median, max, min}
  • Column ordering between DataFrame and DataMatrix is now consistent: before DataFrame would not respect column order
  • Improved {Series, DataFrame}.plot methods to be more flexible (can pass matplotlib Axis arguments, plot DataFrame columns in multiple subplots, etc.)

API Changes

  • Exponentially-weighted moment functions in pandas.stats.moments have a more consistent API and accept a min_periods argument like their regular moving counterparts.
  • fillMethod argument in Series, DataFrame changed to method,
    FutureWarning added.
  • fill method in Series, DataFrame/DataMatrix, WidePanel renamed to
    fillna, FutureWarning added to fill
  • Renamed DataFrame.getXS to xs, FutureWarning added
  • Removed cap and floor functions from DataFrame, renamed to clip_upper and clip_lower for consistency with NumPy

Bug fixes

  • Fixed bug in IndexableSkiplist Cython code that was breaking rolling_max function
  • Numerous numpy.int64-related indexing fixes
  • Several NumPy 1.4.0 NaN-handling fixes
  • Bug fixes to pandas.io.parsers.parseCSV
  • Fixed DateRange caching issue with unusual date offsets
  • Fixed bug in DateRange.union
  • Fixed corner case in IndexableSkiplist implementation