Hello community,
here is the log from the commit of package python-pandas for openSUSE:Factory
checked in at 2015-05-20 23:56:33
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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
2015-03-25 10:01:46.000000000 +0100
+++ /work/SRC/openSUSE:Factory/.python-pandas.new/python-pandas.changes
2015-05-20 23:56:35.000000000 +0200
@@ -1,0 +2,231 @@
+Tue May 19 09:18:50 UTC 2015 - toddrme2...@gmail.com
+
+- Update to version 0.16.1
+ * Highlights
+ - 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
+ * Enhancements
+ - BusinessHour`offset is now supported, which represents
+ business hours starting from 09:00 - 17:00 on BusinessDay by
+ default.
+ - DataFrame.diff now takes an axis parameter that determines the
+ direction of differencing
+ - Allow clip, clip_lower, and clip_upper to accept array-like
+ arguments as thresholds (This is a regression from 0.11.0).
+ These methods now have an axis parameter which determines
+ how the Series or DataFrame will be aligned with the
+ threshold(s).
+ - DataFrame.mask() and Series.mask() now support same keywords
+ as where
+ - drop function can now accept errors keyword to suppress
+ ValueError raised when any of label does not exist in the
+ target data.
+ - Allow conversion of values with dtype datetime64 or timedelta64
+ to strings using astype(str)
+ - get_dummies function now accepts sparse keyword. If set to
+ True, the return DataFrame is sparse, e.g. SparseDataFrame.
+ - Period now accepts datetime64 as value input.
+ - Allow timedelta string conversion when leading zero is
+ missing from time definition, ie 0:00:00 vs 00:00:00.
+ - Allow Panel.shift with axis='items'
+ - Trying to write an excel file now raises NotImplementedError
+ if the DataFrame has a MultiIndex instead of writing a broken
+ Excel file.
+ - Allow Categorical.add_categories to accept Series or np.array.
+ - Add/delete str/dt/cat accessors dynamically from __dir__.
+ - Add normalize as a dt accessor method.
+ - DataFrame and Series now have _constructor_expanddim property
+ as overridable constructor for one higher dimensionality
+ data. This should be used only when it is really needed
+ - pd.lib.infer_dtype now returns 'bytes' in Python 3 where
+ appropriate.
+ - We introduce a CategoricalIndex, a new type of index object
+ that is useful for supporting indexing with duplicates. This
+ is a container around a Categorical (introduced in v0.15.0)
+ and allows efficient indexing and storage of an index with a
+ large number of duplicated elements. Prior to 0.16.1,
+ setting the index of a DataFrame/Series with a category
+ dtype would convert this to regular object-based Index.
+ - Series, DataFrames, and Panels now have a new method:
+ pandas.DataFrame.sample. The method accepts a specific number
+ of rows or columns to return, or a fraction of the total
+ number or rows or columns. It also has options for sampling
+ with or without replacement, for passing in a column for
+ weights for non-uniform sampling, and for setting seed values
+ to facilitate replication.
+ - The following new methods are accesible via .str accessor to
+ apply the function to each values.
+ + capitalize()
+ + swapcase()
+ + normalize()
+ + partition()
+ + rpartition()
+ + index()
+ + rindex()
+ + translate()
+ - Added StringMethods (.str accessor) to Index
+ - split now takes expand keyword to specify whether to expand
+ dimensionality. return_type is deprecated.
+ * API changes
+ - When passing in an ax to df.plot( ..., ax=ax), the sharex
+ kwarg will now default to False.
+ - Add support for separating years and quarters using dashes,
+ for example 2014-Q1.
+ - pandas.DataFrame.assign now inserts new columns in
+ alphabetical order. Previously the order was arbitrary.
+ - By default, read_csv and read_table will now try to infer
+ the compression type based on the file extension. Set
+ compression=None to restore the previous behavior
+ (no decompression).
+ - The string representation of Index and its sub-classes have
+ now been unified. These will show a single-line display if
+ there are few values; a wrapped multi-line display for a lot
+ of values (but less than display.max_seq_items; if lots of
+ items > display.max_seq_items) will show a truncated display
+ (the head and tail of the data). The formatting for
+ MultiIndex is unchanges (a multi-line wrapped display). The
+ display width responds to the option display.max_seq_items,
+ which is defaulted to 100.
+ * Deprecations
+ - Series.str.split's return_type keyword was removed in favor
+ of expand
+ * Performance Improvements
+ - Improved csv write performance with mixed dtypes, including
+ datetimes by up to 5x
+ - Improved csv write performance generally by 2x
+ - Improved the performance of pd.lib.max_len_string_array
+ by 5-7x
+ * Bug Fixes
+ - Bug where labels did not appear properly in the legend of
+ DataFrame.plot(), passing label= arguments works, and Series
+ indices are no longer mutated.
+ - Bug in json serialization causing a segfault when a frame had
+ zero length.
+ - Bug in read_csv where missing trailing delimiters would cause
+ segfault.
+ - Bug in retaining index name on appending
+ - Bug in scatter_matrix draws unexpected axis ticklabels
+ - Fixed bug in StataWriter resulting in changes to input
+ DataFrame upon save.
+ - Bug in transform causing length mismatch when null entries
+ were present and a fast aggregator was being used
+ - Bug in equals causing false negatives when block order
+ differed
+ - Bug in grouping with multiple pd.Grouper where one is
+ non-time based
+ - Bug in read_sql_table error when reading postgres table with
+ timezone
+ - Bug in DataFrame slicing may not retain metadata
+ - Bug where TimdeltaIndex were not properly serialized in fixed
+ HDFStore
+ - Bug with TimedeltaIndex constructor ignoring name when given
+ another TimedeltaIndex as data.
+ - Bug in DataFrameFormatter._get_formatted_index with not
+ applying max_colwidth to the DataFrame index
+ - Bug in .loc with a read-only ndarray data source
+ - Bug in groupby.apply() that would raise if a passed user
+ defined function either returned only None (for all input).
+ - Always use temporary files in pytables tests
+ - Bug in plotting continuously using secondary_y may not show
+ legend properly.
+ - Bug in DataFrame.plot(kind="hist") results in TypeError when
+ DataFrame contains non-numeric columns
+ - Bug where repeated plotting of DataFrame with a DatetimeIndex
+ may raise TypeError
+ - Bug in setup.py that would allow an incompat cython version
+ to build
+ - Bug in plotting secondary_y incorrectly attaches right_ax
+ property to secondary axes specifying itself recursively.
+ - Bug in Series.quantile on empty Series of type Datetime or
+ Timedelta
+ - Bug in where causing incorrect results when upcasting was
+ required
+ - Bug in FloatArrayFormatter where decision boundary for
+ displaying "small" floats in decimal format is off by one
+ order of magnitude for a given display.precision
+ - Fixed bug where DataFrame.plot() raised an error when both
+ color and style keywords were passed and there was no color
+ symbol in the style strings
+ - Not showing a DeprecationWarning on combining list-likes with
+ an Index
+ - Bug in read_csv and read_table when using skip_rows parameter
+ if blank lines are present.
+ - Bug in read_csv() interprets index_col=True as 1
+ - Bug in index equality comparisons using == failing on
+ Index/MultiIndex type incompatibility
+ - Bug in which SparseDataFrame could not take nan as a column
+ name
+ - Bug in to_msgpack and read_msgpack zlib and blosc compression
+ support
+ - Bug GroupBy.size doesn't attach index name properly if
+ grouped by TimeGrouper
+ - Bug causing an exception in slice assignments because
+ length_of_indexer returns wrong results
+ - Bug in csv parser causing lines with initial whitespace plus
+ one non-space character to be skipped.
+ - Bug in C csv parser causing spurious NaNs when data started
+ with newline followed by whitespace.
+ - Bug causing elements with a null group to spill into the
+ final group when grouping by a Categorical
+ - Bug where .iloc and .loc behavior is not consistent on empty
+ dataframes
+ - Bug in invalid attribute access on a TimedeltaIndex
+ incorrectly raised ValueError instead of AttributeError
+ - Bug in unequal comparisons between categorical data and a
+ scalar, which was not in the categories (e.g.
+ Series(Categorical(list("abc"), ordered=True)) > "d". This
+ returned False for all elements, but now raises a TypeError.
+ Equality comparisons also now return False for == and True
+ for !=.
+ - Bug in DataFrame __setitem__ when right hand side is a
+ dictionary
+ - Bug in where when dtype is datetime64/timedelta64, but dtype
+ of other is not
+ - Bug in MultiIndex.sortlevel() results in unicode level name
+ breaks
+ - Bug in which groupby.transform incorrectly enforced output
+ dtypes to match input dtypes.
+ - Bug in DataFrame constructor when columns parameter is set,
+ and data is an empty list
++++ 34 more lines (skipped)
++++ between /work/SRC/openSUSE:Factory/python-pandas/python-pandas.changes
++++ and /work/SRC/openSUSE:Factory/.python-pandas.new/python-pandas.changes
Old:
----
pandas-0.16.0.tar.gz
New:
----
pandas-0.16.1.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-pandas.spec ++++++
--- /var/tmp/diff_new_pack.6XpHeB/_old 2015-05-20 23:56:36.000000000 +0200
+++ /var/tmp/diff_new_pack.6XpHeB/_new 2015-05-20 23:56:36.000000000 +0200
@@ -18,7 +18,7 @@
%define modname pandas
Name: python-%{modname}
-Version: 0.16.0
+Version: 0.16.1
Release: 0
Summary: Make working with "relational" or "labeled" data both easy and
intuitive
License: BSD-3-Clause
++++++ pandas-0.16.0.tar.gz -> pandas-0.16.1.tar.gz ++++++
++++ 250290 lines of diff (skipped)
