Log message:
v0.20.2:
This is a minor bug-fix release in the 0.20.x series and includes some small \ 
regression fixes, bug fixes and performance improvements. We recommend that all \ 
users upgrade to this version.

Log message:
Changes 0.20.1:
New .agg() API for Series/DataFrame similar to the groupby-rolling-resample \ 
API’s, see here
Integration with the feather-format, including a new top-level pd.read_feather() \ 
and DataFrame.to_feather() method, see here.
The .ix indexer has been deprecated, see here
Panel has been deprecated, see here
Addition of an IntervalIndex and Interval scalar type, see here
Improved user API when grouping by index levels in .groupby(), see here
Improved support for UInt64 dtypes, see here
A new orient for JSON serialization, orient='table', that uses the Table Schema \ 
spec and that gives the possibility for a more interactive repr in the Jupyter \ 
Notebook, see here
Experimental support for exporting styled DataFrames (DataFrame.style) to Excel, \ 
see here
Window binary corr/cov operations now return a MultiIndexed DataFrame rather \ 
than a Panel, as Panel is now deprecated, see here
Support for S3 handling now uses s3fs, see here
Google BigQuery support now uses the pandas-gbq library, see here

Log message:
Switch py-dateutils to plain DEPENDS.

It supports both python 2 and 3 nowadays.

Log message:
Prefer egg.mk to distutils.mk. Clean up. Add missing dependency on
py-sqlite3.  Add missing test dependency on py-nose.
Add comments with links to bug reports about test failures.

Bump PKGREVISION for dependency change.

Log message:
Update py-pandas to 0.18.1

Highlights in changelog:

v0.18.1:
    .groupby(...) has been enhanced to provide convenient syntax when working \ 
with .rolling(..), .expanding(..) and .resample(..) per group, see here
    pd.to_datetime() has gained the ability to assemble dates from a DataFrame, \ 
see here
    Method chaining improvements, see here.
    Custom business hour offset, see here.
    Many bug fixes in the handling of sparse, see here
    Expanded the Tutorials section with a feature on modern pandas, courtesy of \ 
@TomAugsburger. (GH13045).

v0.18.0:
    Moving and expanding window functions are now methods on Series and \ 
DataFrame, similar to .groupby, see here.
    Adding support for a RangeIndex as a specialized form of the Int64Index for \ 
memory savings, see here.
    API breaking change to the .resample method to make it more .groupby like, \ 
see here.
    Removal of support for positional indexing with floats, which was deprecated \ 
since 0.14.0. This will now raise a TypeError, see here.
    The .to_xarray() function has been added for compatibility with the xarray \ 
package, see here.
    The read_sas function has been enhanced to read sas7bdat files, see here.
    Addition of the .str.extractall() method, and API changes to the \ 
.str.extract() method and .str.cat() method.
    pd.test() top-level nose test runner is available (GH4327).

Update by K.I.A.Derouiche in PR pkg/51272
Slightly modified.

Log message:
Do not include py-numexpr/bl3.mk, just DEPEND on it.

Log message:
Switch to MASTER_SITES_PYPI.

Log message:
Update py-pandas to 0.17.1.

0.17.1

This is a minor bug-fix release from 0.17.0 and includes a large
number of bug fixes along several new features, enhancements, and
performance improvements. We recommend that all users upgrade to
this version.

Highlights include:

    Support for Conditional HTML Formatting, see here
    Releasing the GIL on the csv reader & other ops, see here
    Fixed regression in DataFrame.drop_duplicates from 0.16.2,
    causing incorrect results on integer values (GH11376)

0.17.0

This is a major release from 0.16.2 and includes a small number of
API changes, several new features, enhancements, and performance
improvements along with a large number of bug fixes. We recommend
that all users upgrade to this version.

Highlights include:

    Release the Global Interpreter Lock (GIL) on some cython
    operations, see here
    Plotting methods are now available as attributes of the .plot
    accessor, see here
    The sorting API has been revamped to remove some long-time
    inconsistencies, see here
    Support for a datetime64[ns] with timezones as a first-class
    dtype, see here
    The default for to_datetime will now be to raise when presented
    with unparseable formats, previously this would return the
    original input. Also, date parse functions now return consistent
    results. See here
    The default for dropna in HDFStore has changed to False, to
    store by default all rows even if they are all NaN, see here
    Datetime accessor (dt) now supports Series.dt.strftime to
    generate formatted strings for datetime-likes, and
    Series.dt.total_seconds to generate each duration of the
    timedelta in seconds. See here
    Period and PeriodIndex can handle multiplied freq like 3D,
    which corresponding to 3 days span. See here
    Development installed versions of pandas will now have PEP440
    compliant version strings (GH9518)
    Development support for benchmarking with the Air Speed Velocity
    library (GH8361)
    Support for reading SAS xport files, see here
    Documentation comparing SAS to pandas, see here
    Removal of the automatic TimeSeries broadcasting, deprecated
    since 0.8.0, see here
    Display format with plain text can optionally align with Unicode
    East Asian Width, see here
    Compatibility with Python 3.5 (GH11097)
    Compatibility with matplotlib 1.5.0 (GH11111)

Log message:
Add SHA512 digests for distfiles for math category

Problems found locating distfiles:
	Package dfftpack: missing distfile dfftpack-20001209.tar.gz
	Package eispack: missing distfile eispack-20001130.tar.gz
	Package fftpack: missing distfile fftpack-20001130.tar.gz
	Package linpack: missing distfile linpack-20010510.tar.gz
	Package minpack: missing distfile minpack-20001130.tar.gz
	Package odepack: missing distfile odepack-20001130.tar.gz
	Package py-networkx: missing distfile networkx-1.10.tar.gz
	Package py-sympy: missing distfile sympy-0.7.6.1.tar.gz
	Package quadpack: missing distfile quadpack-20001130.tar.gz

Otherwise, existing SHA1 digests verified and found to be the same on
the machine holding the existing distfiles (morden).  All existing
SHA1 digests retained for now as an audit trail.

Log message:
Update py-pandas to 0.16.2.

Closes PR pkg/49958 by matthewd.

Changes since 0.14.1 for a full list see
http://pandas.pydata.org/pandas-docs/stable/whatsnew.html:

v 0.16.2

This is a minor bug-fix release from 0.16.1 and includes a a large
number of bug fixes along some new features (pipe() method),
enhancements, and performance improvements.

We recommend that all users upgrade to this version.

Highlights include:

    A new pipe method
    Documentation on how to use numba with pandas,

v 0.16.1
This is a minor bug-fix release from 0.16.0 and includes a a large
number of bug fixes along several new features, enhancements, and
performance improvements. We recommend that all users upgrade to this
version.

Highlights include:

    Support for a CategoricalIndex, a category based index
    New section on how-to-contribute to pandas
    Revised “Merge, join, and concatenate” documentation, including
    graphical examples to make it easier to understand each operations
    New method sample for drawing random samples from Series, DataFrames
    and Panels.
    The default Index printing has changed to a more uniform format
    BusinessHour datetime-offset is now supported
    Further enhancement to the .str accessor to make string operations easier

v0.16.0 (March 22, 2015)

This is a major release from 0.15.2 and includes a small number of
API changes, several new features, enhancements, and performance
improvements along with a large number of bug fixes. We recommend that
all users upgrade to this version.

Highlights include:

    DataFrame.assign method
    Series.to_coo/from_coo methods to interact with scipy.sparse
    Backwards incompatible change to Timedelta to conform the .seconds
    attribute with datetime.timedelta
    Changes to the .loc slicing API to conform with the behavior of .ix
    Changes to the default for ordering in the Categorical constructor
    Enhancement to the .str accessor to make string operations easier
    The pandas.tools.rplot, pandas.sandbox.qtpandas and pandas.rpy
    modules are deprecated. We refer users to external packages like
    seaborn, pandas-qt and rpy2 for similar or equivalent functionality,
    see here
v0.15.0 (October 18, 2014)

This is a major release from 0.14.1 and includes a small number of
API changes, several new features, enhancements, and performance
improvements along with a large number of bug fixes. We recommend that
all users upgrade to this version.

Warning

pandas >= 0.15.0 will no longer support compatibility with NumPy
versions < 1.7.0. If you want to use the latest versions of pandas,
please upgrade to NumPy >= 1.7.0 (GH7711)

    Highlights include:
        The Categorical type was integrated as a first-class pandas type
        New scalar type Timedelta, and a new index type TimedeltaIndex
        New datetimelike properties accessor .dt for Series, see
        Datetimelike Properties
        New DataFrame default display for df.info() to include memory
        usage, see Memory Usage
        read_csv will now by default ignore blank lines when parsing
        API change in using Indexes in set operations
        Enhancements in the handling of timezones
        A lot of improvements to the rolling and expanding moment funtions
        Internal refactoring of the Index class to no longer sub-class
        ndarray, see Internal Refactoring
        dropping support for PyTables less than version 3.0.0, and
        numexpr less than version 2.1 (GH7990)
        Split indexing documentation into Indexing and Selecting Data
        and MultiIndex / Advanced Indexing
        Split out string methods documentation into Working with Text Data