Log message:
Update math/py-pandas to 0.14.1.

This is two major releases since 0.12.0.  Changes include API changes, new
features, enhancements, and performance improvements along with a large
number of bug fixes.

For the detailed list of changes see
http://pandas.pydata.org/pandas-docs/stable/whatsnew.html

Log message:
Convert to use versioned_dependencies.mk.

Log message:
Update pandas to 0.12.0.

This is a major release from 0.11.0 and includes several new features
and enhancements along with a large number of bug fixes.

Highlites include a consistent I/O API naming scheme, routines to read
html, write multi-indexes to csv files, read & write STATA data files,
read & write JSON format files, Python 3 support for HDFStore, filtering
of groupby expressions via filter, and a revamped replace routine that
accepts regular expressions.

For detailed changes see:
http://pandas.pydata.org/pandas-docs/stable/whatsnew.html

Log message:
Update py-pandas to 0.11.0.

Summary of changes since 0.10.1:

This is a major release from 0.10.1 and includes many new features and
enhancements along with a large number of bug fixes. The methods of
Selecting Data have had quite a number of additions, and Dtype support
is now full-fledged. There are also a number of important API changes
that long-time pandas users should pay close attention to.

* New precision indexing fields loc, iloc, at, and iat, to reduce
  occasional ambiguity in the catch-all hitherto ix method.

* Expanded support for NumPy data types in DataFrame.

* NumExpr integration to accelerate various operator evaluation.

* Improved DataFrame to CSV exporting performance.

For a full list refer to the "what's new" page.

Also fixes PLIST errors introduced in last update.

Log message:
Update pandas to 0.10.1.

Release date: 2013-01-22

New features:

        Add data inferface to World Bank WDI pandas.io.wb (GH2592)

API Changes:

        Restored inplace=True behavior returning self (same object) with
	  deprecation warning until 0.11 (GH1893)
        HDFStore
            refactored HFDStore to deal with non-table stores as objects, will
	      allow future enhancements
            removed keyword compression from put (replaced by keyword complib
	      to be consistent across library)
            warn PerformanceWarning if you are attempting to store types that
	      will be pickled by PyTables

Improvements to existing features:

        HDFStore
            enables storing of multi-index dataframes (closes GH1277)
            support data column indexing and selection, via data_columns
	      keyword in append
            support write chunking to reduce memory footprint, via chunksize
	      keyword to append
            support automagic indexing via index keyword to append
            support expectedrows keyword in append to inform PyTables about
	      the expected tablesize
            support start and stop keywords in select to limit the row
	      selection space
            added get_store context manager to automatically import with pandas
            added column filtering via columns keyword in select
            added methods append_to_multiple/select_as_multiple/
	      select_as_coordinates to do multiple-table append/selection
            added support for datetime64 in columns
            added method unique to select the unique values in an indexable
	      or data column
            added method copy to copy an existing store (and possibly upgrade)
            show the shape of the data on disk for non-table stores when
	      printing the store
            added ability to read PyTables flavor tables (allows compatiblity
	      to other HDF5 systems)
        Add logx option to DataFrame/Series.plot (GH2327, GH2565)
        Support reading gzipped data from file-like object
        pivot_table aggfunc can be anything used in GroupBy.aggregate (GH2643)
        Implement DataFrame merges in case where set cardinalities might
	  overflow 64-bit integer (GH2690)
        Raise exception in C file parser if integer dtype specified and have
	  NA values. (GH2631)
        Attempt to parse ISO8601 format dates when parse_dates=True in read_csv
	  for major performance boost in such cases (GH2698)
        Add methods neg and inv to Series
        Implement kind option in ExcelFile to indicate whether it's an XLS
	  or XLSX file (GH2613)

Bug fixes:

        Fix read_csv/read_table multithreading issues (GH2608)
        HDFStore
            correctly handle nan elements in string columns; serialize via the
	      nan_rep keyword to append
            raise correctly on non-implemented column types (unicode/date)
            handle correctly Term passed types (e.g. index<1000, when index is
	      Int64), (closes GH512)
            handle Timestamp correctly in data_columns (closes GH2637)
            contains correctly matches on non-natural names
            correctly store float32 dtypes in tables (if not other float types
	      in the same table)
        Fix DataFrame.info bug with UTF8-encoded columns. (GH2576)
        Fix DatetimeIndex handling of FixedOffset tz (GH2604)
        More robust detection of being in IPython session for wide DataFrame
	  console formatting (GH2585)
        Fix platform issues with file:/// in unit test (GH2564)
        Fix bug and possible segfault when grouping by hierarchical level that
	  contains NA values (GH2616)
        Ensure that MultiIndex tuples can be constructed with NAs (GH2616)
        Fix int64 overflow issue when unstacking MultiIndex with many levels
	  (GH2616)
        Exclude non-numeric data from DataFrame.quantile by default (GH2625)
        Fix a Cython C int64 boxing issue causing read_csv to return incorrect
	  results (GH2599)
        Fix groupby summing performance issue on boolean data (GH2692)
        Don't bork Series containing datetime64 values with to_datetime (GH2699)
        Fix DataFrame.from_records corner case when passed columns, index
	  column, but empty record list (GH2633)
        Fix C parser-tokenizer bug with trailing fields. (GH2668)
        Don't exclude non-numeric data from GroupBy.max/min (GH2700)
        Don't lose time zone when calling DatetimeIndex.drop (GH2621)
        Fix setitem on a Series with a boolean key and a non-scalar as value
	  (GH2686)
        Box datetime64 values in Series.apply/map (GH2627, GH2689)
        Upconvert datetime + datetime64 values when concatenating frames
	  (GH2624)
        Raise a more helpful error message in merge operations when one
	  DataFrame has duplicate columns (GH2649)
        Fix partial date parsing issue occuring only when code is run at EOM
	  (GH2618)
        Prevent MemoryError when using counting sort in sortlevel with
	  high-cardinality MultiIndex objects (GH2684)
        Fix Period resampling bug when all values fall into a single bin
	  (GH2070)
        Fix buggy interaction with usecols argument in read_csv when there is
	  an implicit first index column (GH2654)

Log message:
Update pandas to 0.10.0.

pkgsrc change: depend on math/py-pytables.

Changes since 0.9.1:

* Delimited file parsing engine rewritten to use a fraction of memory while
  being 40%+ faster.
- Much-improved Unicode handling via the encoding option.
- Column filtering (usecols)
- Dtype specification (dtype argument)
- Ability to specify strings to be recognized as True/False
- Ability to yield NumPy record arrays (as_recarray)
- High performance delim_whitespace option
- Decimal format (e.g. European format) specification
- Easier CSV dialect options: escapechar, lineterminator, quotechar, etc.
- More robust handling of many exceptional kinds of files observed in the wild

* API changes
- Deprecated DataFrame BINOP TimeSeries special case behavior
- Altered resample default behavior
- Infinity and negative infinity are no longer treated as NA by isnull and
  notnull.
- Methods with the inplace option now all return None instead of the calling
  object.
- pandas.merge no longer sorts the group keys (sort=False) by default.
- The default column names for a file with no header have been changed.
- Values like 'Yes' and 'No' are not interpreted as boolean by default.
- The file parsers will not recognize non-string values arising from a
  converter function as NA.
- Calling fillna on Series or DataFrame with no arguments is no longer valid
  code.
- Series.apply will now operate on a returned value from the applied function.
- New API functions for working with pandas options.

* New features
- Wide DataFrame Printing.
- Updated PyTables Support.

* Enhancements
- added ability to hierarchical keys.
- added mixed-dtype support!
- performance improvments on table writing.
- support for arbitrarily indexed dimensions.
- SparseSeries now has a density property.

* Bug fixes
- added Term method of specifying where conditions.
- del store['df'] now call store.remove('df') for store deletion.
- deleting of consecutive rows is much faster than before.
- in_itemsize parameter can be specified in table creation to force a minimum
  size for indexing columns.
- indexing support via create_table_index (requires PyTables >= 2.3)
- appending on a store would fail if the table was not first created via put.
- fixed issue with missing attributes after loading a pickled dataframe.
- minor change to select and remove: require a table ONLY if where is also
  provided.

* Compatibility
- 0.10 of HDFStore is backwards compatible for reading tables created
  in a prior version of pandas, however, query terms using the prior
  (undocumented) methodology are unsupported.

* N Dimensional Panels (Experimental)

Log message:
Initial import of pandas 0.9.1.

pandas is an open source, BSD-licensed library providing
high-performance, easy-to-use data structures and data analysis tools
for the Python programming language.