Hello community,
here is the log from the commit of package python3-pandas for openSUSE:Factory
checked in at 2015-03-25 10:01:34
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python3-pandas (Old)
and /work/SRC/openSUSE:Factory/.python3-pandas.new (New)
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Package is "python3-pandas"
Changes:
--------
--- /work/SRC/openSUSE:Factory/python3-pandas/python3-pandas.changes
2015-02-16 22:13:29.000000000 +0100
+++ /work/SRC/openSUSE:Factory/.python3-pandas.new/python3-pandas.changes
2015-03-25 10:01:49.000000000 +0100
@@ -1,0 +2,244 @@
+Tue Mar 24 12:44:20 UTC 2015 - toddrme2...@gmail.com
+
+- update to version 0.16.0:
+ * Highlights:
+ - 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
+ * New features
+ - Inspired by dplyr's mutate verb, DataFrame has a new assign method.
+ - Added SparseSeries.to_coo and SparseSeries.from_coo methods for
+ converting to and from scipy.sparse.coo_matrix instances.
+ - Following new methods are accesible via .str accessor to apply the
+ function to each values. This is intended to make it more consistent with
+ standard methods on strings: isalnum(), isalpha(), isdigit(), isdigit(),
+ isspace(), islower(), isupper(), istitle(), isnumeric(), isdecimal(),
+ find(), rfind(), ljust(), rjust(), zfill()
+ - Reindex now supports method='nearest' for frames or series with a
+ monotonic increasing or decreasing index.
+ - The read_excel() function's sheetname argument now accepts a list and
+ None, to get multiple or all sheets respectively. If more than one sheet
+ is specified, a dictionary is returned.
+ - Allow Stata files to be read incrementally with an iterator; support for
+ long strings in Stata files.
+ - Paths beginning with ~ will now be expanded to begin with the user's home
+ directory.
+ - Added time interval selection in get_data_yahoo.
+ - Added Timestamp.to_datetime64() to complement Timedelta.to_timedelta64().
+ - tseries.frequencies.to_offset() now accepts Timedelta as input.
+ - Lag parameter was added to the autocorrelation method of Series, defaults
+ to lag-1 autocorrelation.
+ - Timedelta will now accept nanoseconds keyword in constructor.
+ - SQL code now safely escapes table and column names.
+ - Added auto-complete for Series.str.<tab>, Series.dt.<tab> and
+ Series.cat.<tab>.
+ - Index.get_indexer now supports method='pad' and method='backfill' even
+ for any target array, not just monotonic targets.
+ - Index.asof now works on all index types.
+ - A verbose argument has been augmented in io.read_excel(), defaults to
+ False. Set to True to print sheet names as they are parsed.
+ - Added days_in_month (compatibility alias daysinmonth) property to
+ Timestamp, DatetimeIndex, Period, PeriodIndex, and Series.dt.
+ - Added decimal option in to_csv to provide formatting for non-'.' decimal
+ separators
+ - Added normalize option for Timestamp to normalized to midnight
+ - Added example for DataFrame import to R using HDF5 file and rhdf5
+ library.
+ * Backwards incompatible API changes
+ - In v0.16.0, we are restoring the API to match that of datetime.timedelta.
+ Further, the component values are still available through the .components
+ accessor. This affects the .seconds and .microseconds accessors, and
+ removes the .hours, .minutes, .milliseconds accessors. These changes
+ affect TimedeltaIndex and the Series .dt accessor as well.
+ - The behavior of a small sub-set of edge cases for using .loc have
+ changed. Furthermore we have improved the content of the error messages
+ that are raised:
+ + Slicing with .loc where the start and/or stop bound is not found in
+ the index is now allowed; this previously would raise a KeyError. This
+ makes the behavior the same as .ix in this case. This change is only
+ for slicing, not when indexing with a single label.
+ + Allow slicing with float-like values on an integer index for .ix.
+ Previously this was only enabled for .loc:
+ + Provide a useful exception for indexing with an invalid type for that
+ index when using .loc. For example trying to use .loc on an index of
+ type DatetimeIndex or PeriodIndex or TimedeltaIndex, with an integer
+ (or a float).
+ - In prior versions, Categoricals that had an unspecified ordering
+ (meaning no ordered keyword was passed) were defaulted as ordered
+ Categoricals. Going forward, the ordered keyword in the Categorical
+ constructor will default to False. Ordering must now be explicit.
+ Furthermore, previously you *could* change the ordered attribute of a
+ Categorical by just setting the attribute, e.g. cat.ordered=True; This is
+ now deprecated and you should use cat.as_ordered() or cat.as_unordered().
+ These will by default return a **new** object and not modify the
+ existing object.
+ - Index.duplicated now returns np.array(dtype=bool) rather than
+ Index(dtype=object) containing bool values.
+ - DataFrame.to_json now returns accurate type serialisation for each
column
+ for frames of mixed dtype
+ - DatetimeIndex, PeriodIndex and TimedeltaIndex.summary now output the
same
+ format.
+ - TimedeltaIndex.freqstr now output the same string format as
+ DatetimeIndex.
+ - Bar and horizontal bar plots no longer add a dashed line along the info
+ axis. The prior style can be achieved with matplotlib's axhline or
+ axvline methods.
+ - Series accessors .dt, .cat and .str now raise AttributeError instead of
+ TypeError if the series does not contain the appropriate type of data.
+ This follows Python's built-in exception hierarchy more closely and
+ ensures that tests like hasattr(s, 'cat') are consistent on both Python
+ 2 and 3.
+ - Series now supports bitwise operation for integral types. Previously
even
+ if the input dtypes were integral, the output dtype was coerced to bool.
+ - During division involving a Series or DataFrame, 0/0 and 0//0 now give
+ np.nan instead of np.inf.
+ - Series.values_counts and Series.describe for categorical data will now
+ put NaN entries at the end.
+ - Series.describe for categorical data will now give counts and
frequencies
+ of 0, not NaN, for unused categories
+ - Due to a bug fix, looking up a partial string label with
+ DatetimeIndex.asof now includes values that match the string, even if
+ they are after the start of the partial string label. Old behavior:
+ * Deprecations
+ - The rplot trellis plotting interface is deprecated and will be removed
+ in a future version. We refer to external packages like
+ seaborn for similar but more refined functionality.
+ - The pandas.sandbox.qtpandas interface is deprecated and will be removed
+ in a future version.
+ We refer users to the external package pandas-qt.
+ - The pandas.rpy interface is deprecated and will be removed in a future
+ version.
+ Similar functionaility can be accessed thru the rpy2 project
+ - Adding DatetimeIndex/PeriodIndex to another DatetimeIndex/PeriodIndex is
+ being deprecated as a set-operation. This will be changed to a TypeError
+ in a future version. .union() should be used for the union set operation.
+ - Subtracting DatetimeIndex/PeriodIndex from another
+ DatetimeIndex/PeriodIndex is being deprecated as a set-operation. This
+ will be changed to an actual numeric subtraction yielding a
+ TimeDeltaIndex in a future version. .difference() should be used for
+ the differencing set operation.
+ * Removal of prior version deprecations/changes
+ - DataFrame.pivot_table and crosstab's rows and cols keyword arguments
were
+ removed in favor
+ of index and columns
+ - DataFrame.to_excel and DataFrame.to_csv cols keyword argument was
removed
+ in favor of columns
+ - Removed convert_dummies in favor of get_dummies
+ - Removed value_range in favor of describe
+ * Performance Improvements
+ - Fixed a performance regression for .loc indexing with an array or
+ list-like.
+ - DataFrame.to_json 30x performance improvement for mixed dtype frames.
+ - Performance improvements in MultiIndex.duplicated by working with labels
+ instead of values
+ - Improved the speed of nunique by calling unique instead of value_counts
+ - Performance improvement of up to 10x in DataFrame.count and
+ DataFrame.dropna by taking advantage of homogeneous/heterogeneous dtypes
+ appropriately
+ - Performance improvement of up to 20x in DataFrame.count when using a
+ MultiIndex and the level keyword argument
+ - Performance and memory usage improvements in merge when key space
exceeds
+ int64 bounds
+ - Performance improvements in multi-key groupby
+ - Performance improvements in MultiIndex.sortlevel
+ - Performance and memory usage improvements in DataFrame.duplicated
+ - Cythonized Period
+ - Decreased memory usage on to_hdf
+ * Bug Fixes
+ - Changed .to_html to remove leading/trailing spaces in table body
+ - Fixed issue using read_csv on s3 with Python 3
+ - Fixed compatibility issue in DatetimeIndex affecting architectures where
+ numpy.int_ defaults to numpy.int32
+ - Bug in Panel indexing with an object-like
+ - Bug in the returned Series.dt.components index was reset to the default
+ index
+ - Bug in Categorical.__getitem__/__setitem__ with listlike input getting
+ incorrect results from indexer coercion
+ - Bug in partial setting with a DatetimeIndex
+ - Bug in groupby for integer and datetime64 columns when applying an
+ aggregator that caused the value to be
+ changed when the number was sufficiently large
+ - Fixed bug in to_sql when mapping a Timestamp object column (datetime
+ column with timezone info) to the appropriate sqlalchemy type.
+ - Fixed bug in to_sql dtype argument not accepting an instantiated
+ SQLAlchemy type.
+ - Bug in .loc partial setting with a np.datetime64
+ - Incorrect dtypes inferred on datetimelike looking Series & on .xs slices
+ - Items in Categorical.unique() (and s.unique() if s is of dtype category)
+ now appear in the order in which they are originally found, not in
sorted
+ order. This is now consistent with the behavior for other dtypes in
pandas.
+ - Fixed bug on big endian platforms which produced incorrect results in
+ StataReader.
+ - Bug in MultiIndex.has_duplicates when having many levels causes an
+ indexer overflow
+ - Bug in pivot and unstack where nan values would break index alignment
+ - Bug in left join on multi-index with sort=True or null values.
+ - Bug in MultiIndex where inserting new keys would fail.
+ - Bug in groupby when key space exceeds int64 bounds.
+ - Bug in unstack with TimedeltaIndex or DatetimeIndex and nulls.
+ - Bug in rank where comparing floats with tolerance will cause
inconsistent
+ behaviour.
+ - Fixed character encoding bug in read_stata and StataReader when loading
+ data from a URL.
+ - Bug in adding offsets.Nano to other offets raises TypeError
+ - Bug in DatetimeIndex iteration, related to, fixed in
+ - Bugs in resample around DST transitions. This required fixing offset
+ classes so they behave correctly on DST transitions.
+ - Bug in binary operator method (eg .mul()) alignment with integer levels.
+ - Bug in boxplot, scatter and hexbin plot may show an unnecessary warning
+ - Bug in subplot with layout kw may show unnecessary warning
+ - Bug in using grouper functions that need passed thru arguments (e.g.
++++ 47 more lines (skipped)
++++ between /work/SRC/openSUSE:Factory/python3-pandas/python3-pandas.changes
++++ and /work/SRC/openSUSE:Factory/.python3-pandas.new/python3-pandas.changes
Old:
----
pandas-0.15.2.tar.gz
New:
----
pandas-0.16.0.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python3-pandas.spec ++++++
--- /var/tmp/diff_new_pack.c8Sx1Q/_old 2015-03-25 10:01:50.000000000 +0100
+++ /var/tmp/diff_new_pack.c8Sx1Q/_new 2015-03-25 10:01:50.000000000 +0100
@@ -17,7 +17,7 @@
Name: python3-pandas
-Version: 0.15.2
+Version: 0.16.0
Release: 0
Summary: Make working with "relational" or "labeled" data both easy and
intuitive
License: BSD-3-Clause
@@ -97,6 +97,10 @@
%install
python3 setup.py install --root %{buildroot} --prefix=%{_prefix}
+pushd doc
+python3 make.py html
+popd
+
rm -r %{buildroot}%{python3_sitearch}/pandas/tests
%fdupes %{buildroot}%{python3_sitearch}
@@ -116,6 +120,6 @@
%files doc
%defattr(-,root,root)
-%doc examples
+%doc doc/build/html/
%changelog
++++++ pandas-0.15.2.tar.gz -> pandas-0.16.0.tar.gz ++++++
++++ 281920 lines of diff (skipped)
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