Hello community,

here is the log from the commit of package python-pandas for openSUSE:Factory 
checked in at 2014-11-10 17:28:42
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-pandas (Old)
 and      /work/SRC/openSUSE:Factory/.python-pandas.new (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Package is "python-pandas"

Changes:
--------
--- /work/SRC/openSUSE:Factory/python-pandas/python-pandas.changes      
2014-10-22 16:23:26.000000000 +0200
+++ /work/SRC/openSUSE:Factory/.python-pandas.new/python-pandas.changes 
2014-11-10 17:28:57.000000000 +0100
@@ -1,0 +2,90 @@
+Sun Nov  9 15:40:36 UTC 2014 - [email protected]
+
+- Updated to version 0.15.1:
+  + API changes
+    - Represent ``MultiIndex`` labels with a dtype that utilizes memory based 
+      on the level size.
+    - ``groupby`` with ``as_index=False`` will not add erroneous extra columns 
+      to result (:issue:`8582`):
+    - ``groupby`` will not erroneously exclude columns if the column name 
+      conflics with the grouper name (:issue:`8112`):
+    - ``concat`` permits a wider variety of iterables of pandas objects to be
+      passed as the first parameter (:issue:`8645`):
+    - ``s.dt.hour`` and other ``.dt`` accessors will now return ``np.nan`` for 
+      missing values (rather than previously -1), (:issue:`8689`)
+    - support for slicing with monotonic decreasing indexes, even if ``start`` 
+      or ``stop`` is not found in the index (:issue:`7860`):
+    - added Index properties `is_monotonic_increasing` and 
+      `is_monotonic_decreasing` (:issue:`8680`).
+    - pandas now also registers the ``datetime64`` dtype in matplotlib's units 
+      registry to plot such values as datetimes. 
+  + Enhancements
+    - Added option to select columns when importing Stata files (:issue:`7935`)
+    - Qualify memory usage in ``DataFrame.info()`` by adding ``+`` if it is a 
+      lower bound (:issue:`8578`)
+    - Raise errors in certain aggregation cases where an argument such as 
+      ``numeric_only`` is not handled (:issue:`8592`).
+    - Added support for 3-character ISO and non-standard country codes in 
+      :func:``io.wb.download()`` (:issue:`8482`)
+    - :ref:`World Bank data requests <remote_data.wb>` now will warn/raise 
+      based on an ``errors`` argument, as well as a list of hard-coded country 
+      codes and the World Bank's JSON response.
+    - Added option to ``Series.str.split()`` to return a ``DataFrame`` rather 
+      than a ``Series`` (:issue:`8428`)
+    - Added option to ``df.info(null_counts=None|True|False)`` to override the 
+      default display options and force showing of the null-counts 
+      (:issue:`8701`)
+  + Bug Fixes
+    - Bug in unpickling  of a ``CustomBusinessDay`` object (:issue:`8591`)
+    - Bug in coercing ``Categorical`` to a records array, e.g. 
+      ``df.to_records()`` (:issue:`8626`)
+    - Bug in ``Categorical`` not created properly with ``Series.to_frame()`` 
+      (:issue:`8626`)
+    - Bug in coercing in astype of a ``Categorical`` of a passed 
+      ``pd.Categorical`` (this now raises ``TypeError`` correctly), 
+      (:issue:`8626`)
+    - Bug in ``cut``/``qcut`` when using ``Series`` and ``retbins=True`` 
+      (:issue:`8589`)
+    - Bug in writing Categorical columns to an SQL database with ``to_sql`` 
+      (:issue:`8624`).
+    - Bug in comparing ``Categorical`` of datetime raising when being compared 
+      to a scalar datetime (:issue:`8687`)
+    - Bug in selecting from a ``Categorical`` with ``.iloc`` (:issue:`8623`)
+    - Bug in groupby-transform with a Categorical (:issue:`8623`)
+    - Bug in duplicated/drop_duplicates with a Categorical (:issue:`8623`)
+    - Bug in ``Categorical`` reflected comparison operator raising if the 
first 
+      argument was a numpy array scalar (e.g. np.int64) (:issue:`8658`)
+    - Bug in Panel indexing with a list-like (:issue:`8710`)
+    - Compat issue is ``DataFrame.dtypes`` when 
+      ``options.mode.use_inf_as_null`` is True (:issue:`8722`)
+    - Bug in ``read_csv``, ``dialect`` parameter would not take a string 
+      (:issue: `8703`)
+    - Bug in slicing a multi-index level with an empty-list (:issue:`8737`)
+    - Bug in numeric index operations of add/sub with Float/Index Index with 
+      numpy arrays (:issue:`8608`)
+    - Bug in setitem with empty indexer and unwanted coercion of dtypes 
+      (:issue:`8669`)
+    - Bug in ix/loc block splitting on setitem (manifests with integer-like 
+      dtypes, e.g. datetime64) (:issue:`8607`)
+    - Bug when doing label based indexing with integers not found in the index 
+      for non-unique but monotonic indexes (:issue:`8680`).
+    - Bug when indexing a Float64Index with ``np.nan`` on numpy 1.7 
+      (:issue:`8980`).
+    - Fix ``shape`` attribute for ``MultiIndex`` (:issue:`8609`)
+    - Bug in ``GroupBy`` where a name conflict between the grouper and columns
+      would break ``groupby`` operations (:issue:`7115`, :issue:`8112`)
+    - Fixed a bug where plotting a column ``y`` and specifying a label would 
+      mutate the index name of the original DataFrame (:issue:`8494`)
+    - Fix regression in plotting of a DatetimeIndex directly with matplotlib 
+      (:issue:`8614`).
+    - Bug in ``date_range`` where partially-specified dates would incorporate 
+      current date (:issue:`6961`)
+    - Bug in Setting by indexer to a scalar value with a mixed-dtype `Panel4d` 
+      was failing (:issue:`8702`)
+    - Bug where ``DataReader``'s would fail if one of the symbols passed was 
+      invalid.  Now returns data for valid symbols and np.nan for invalid 
+      (:issue:`8494`)
+    - Bug in ``get_quote_yahoo`` that wouldn't allow non-float return values 
+      (:issue:`5229`).
+
+-------------------------------------------------------------------

Old:
----
  pandas-0.15.0.tar.gz

New:
----
  pandas-0.15.1.tar.gz

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Other differences:
------------------
++++++ python-pandas.spec ++++++
--- /var/tmp/diff_new_pack.ziCOAj/_old  2014-11-10 17:28:58.000000000 +0100
+++ /var/tmp/diff_new_pack.ziCOAj/_new  2014-11-10 17:28:58.000000000 +0100
@@ -18,7 +18,7 @@
 
 %define modname pandas
 Name:           python-%{modname}
-Version:        0.15.0
+Version:        0.15.1
 Release:        0
 Summary:        Make working with "relational" or "labeled" data both easy and 
intuitive
 License:        BSD-3-Clause

++++++ pandas-0.15.0.tar.gz -> pandas-0.15.1.tar.gz ++++++
++++ 209414 lines of diff (skipped)

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