Changelog for python-pandas-doc-0.20.1-40.38.noarch.rpm :
Tue May 30 14:00:00 2017 toddrme2178AATTgmail.com
- Fix documentation BuildRequires.

Thu May 18 14:00:00 2017 toddrme2178AATTgmail.com
- Update to version 0.20.1
Highlights include:

* New ``.agg()`` API for Series/DataFrame similar to the
groupby-rolling-resample API\'s

* Integration with the ``feather-format``, including a new
top-level ``pd.read_feather()`` and ``DataFrame.to_feather()``
method

* The ``.ix`` indexer has been deprecated

* ``Panel`` has been deprecated

* Addition of an ``IntervalIndex`` and ``Interval`` scalar type

* Improved user API when grouping by index levels in ``.groupby()``

* Improved support for ``UInt64`` dtypes

* 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

* Experimental support for exporting styled DataFrames
(``DataFrame.style``) to Excel

* Window binary corr/cov operations now return a MultiIndexed
``DataFrame`` rather than a ``Panel``, as ``Panel`` is now
deprecated

* Support for S3 handling now uses ``s3fs``

* Google BigQuery support now uses the ``pandas-gbq`` library

Tue Apr 25 14:00:00 2017 toddrme2178AATTgmail.com
- Implement single-spec version.

Thu Mar 30 14:00:00 2017 toddrme2178AATTgmail.com
- update to version 0.19.2:

* Enhancements
The pd.merge_asof(), added in 0.19.0, gained some improvements:
+ pd.merge_asof() gained left_index/right_index and
left_by/right_by arguments (GH14253)
+ pd.merge_asof() can take multiple columns in by parameter and
has specialized dtypes for better performace (GH13936)

* Performance Improvements
+ Performance regression with PeriodIndex (GH14822)
+ Performance regression in indexing with getitem (GH14930)
+ Improved performance of .replace() (GH12745)
+ Improved performance Series creation with a datetime index and
dictionary data (GH14894)

* Bug Fixes
+ Compat with python 3.6 for pickling of some offsets (GH14685)
+ Compat with python 3.6 for some indexing exception types
(GH14684, GH14689)
+ Compat with python 3.6 for deprecation warnings in the test
suite (GH14681)
+ Compat with python 3.6 for Timestamp pickles (GH14689)
+ Compat with dateutil==2.6.0; segfault reported in the testing
suite (GH14621)
+ Allow nanoseconds in Timestamp.replace as a kwarg (GH14621)
+ Bug in pd.read_csv in which aliasing was being done for
na_values when passed in as a dictionary (GH14203)
+ Bug in pd.read_csv in which column indices for a dict-like
na_values were not being respected (GH14203)
+ Bug in pd.read_csv where reading files fails, if the number of
headers is equal to the number of lines in the file (GH14515)
+ Bug in pd.read_csv for the Python engine in which an unhelpful
error message was being raised when multi-char delimiters were
not being respected with quotes (GH14582)
+ Fix bugs (GH14734, GH13654) in pd.read_sas and
pandas.io.sas.sas7bdat.SAS7BDATReader that caused problems when
reading a SAS file incrementally.
+ Bug in pd.read_csv for the Python engine in which an unhelpful
error message was being raised when skipfooter was not being
respected by Python’s CSV library (GH13879)
+ Bug in .fillna() in which timezone aware datetime64 values were
incorrectly rounded (GH14872)
+ Bug in .groupby(..., sort=True) of a non-lexsorted MultiIndex
when grouping with multiple levels (GH14776)
+ Bug in pd.cut with negative values and a single bin (GH14652)
+ Bug in pd.to_numeric where a 0 was not unsigned on a
downcast=\'unsigned\' argument (GH14401)
+ Bug in plotting regular and irregular timeseries using shared
axes (sharex=True or ax.twinx()) (GH13341, GH14322).
+ Bug in not propogating exceptions in parsing invalid datetimes,
noted in python 3.6 (GH14561)
+ Bug in resampling a DatetimeIndex in local TZ, covering a DST
change, which would raise AmbiguousTimeError (GH14682)
+ Bug in indexing that transformed RecursionError into KeyError or
IndexingError (GH14554)
+ Bug in HDFStore when writing a MultiIndex when using
data_columns=True (GH14435)
+ Bug in HDFStore.append() when writing a Series and passing a
min_itemsize argument containing a value for the index (GH11412)
+ Bug when writing to a HDFStore in table format with a
min_itemsize value for the index and without asking to append
(GH10381)
+ Bug in Series.groupby.nunique() raising an IndexError for an
empty Series (GH12553)
+ Bug in DataFrame.nlargest and DataFrame.nsmallest when the index
had duplicate values (GH13412)
+ Bug in clipboard functions on linux with python2 with unicode
and separators (GH13747)
+ Bug in clipboard functions on Windows 10 and python 3 (GH14362,
GH12807)
+ Bug in .to_clipboard() and Excel compat (GH12529)
+ Bug in DataFrame.combine_first() for integer columns (GH14687).
+ Bug in pd.read_csv() in which the dtype parameter was not being
respected for empty data (GH14712)
+ Bug in pd.read_csv() in which the nrows parameter was not being
respected for large input when using the C engine for parsing
(GH7626)
+ Bug in pd.merge_asof() could not handle timezone-aware
DatetimeIndex when a tolerance was specified (GH14844)
+ Explicit check in to_stata and StataWriter for out-of-range
values when writing doubles (GH14618)
+ Bug in .plot(kind=\'kde\') which did not drop missing values to
generate the KDE Plot, instead generating an empty
plot. (GH14821)
+ Bug in unstack() if called with a list of column(s) as an
argument, regardless of the dtypes of all columns, they get
coerced to object (GH11847)
- update to version 0.19.1:

* Performance Improvements
+ Fixed performance regression in factorization of Period data
(GH14338)
+ Fixed performance regression in Series.asof(where) when where is
a scalar (GH14461)
+ Improved performance in DataFrame.asof(where) when where is a
scalar (GH14461)
+ Improved performance in .to_json() when lines=True (GH14408)
+ Improved performance in certain types of loc indexing with a
MultiIndex (GH14551).

* Bug Fixes
+ Source installs from PyPI will now again work without cython
installed, as in previous versions (GH14204)
+ Compat with Cython 0.25 for building (GH14496)
+ Fixed regression where user-provided file handles were closed in
read_csv (c engine) (GH14418).
+ Fixed regression in DataFrame.quantile when missing values where
present in some columns (GH14357).
+ Fixed regression in Index.difference where the freq of a
DatetimeIndex was incorrectly set (GH14323)
+ Added back pandas.core.common.array_equivalent with a
deprecation warning (GH14555).
+ Bug in pd.read_csv for the C engine in which quotation marks
were improperly parsed in skipped rows (GH14459)
+ Bug in pd.read_csv for Python 2.x in which Unicode quote
characters were no longer being respected (GH14477)
+ Fixed regression in Index.append when categorical indices were
appended (GH14545).
+ Fixed regression in pd.DataFrame where constructor fails when
given dict with None value (GH14381)
+ Fixed regression in DatetimeIndex._maybe_cast_slice_bound when
index is empty (GH14354).
+ Bug in localizing an ambiguous timezone when a boolean is passed
(GH14402)
+ Bug in TimedeltaIndex addition with a Datetime-like object where
addition overflow in the negative direction was not being caught
(GH14068, GH14453)
+ Bug in string indexing against data with object Index may raise
AttributeError (GH14424)
+ Corrrecly raise ValueError on empty input to pd.eval() and
df.query() (GH13139)
+ Bug in RangeIndex.intersection when result is a empty set
(GH14364).
+ Bug in groupby-transform broadcasting that could cause incorrect
dtype coercion (GH14457)
+ Bug in Series.__setitem__ which allowed mutating read-only
arrays (GH14359).
+ Bug in DataFrame.insert where multiple calls with duplicate
columns can fail (GH14291)
+ pd.merge() will raise ValueError with non-boolean parameters in
passed boolean type arguments (GH14434)
+ Bug in Timestamp where dates very near the minimum (1677-09)
could underflow on creation (GH14415)
+ Bug in pd.concat where names of the keys were not propagated to
the resulting MultiIndex (GH14252)
+ Bug in pd.concat where axis cannot take string parameters \'rows\'
or \'columns\' (GH14369)
+ Bug in pd.concat with dataframes heterogeneous in length and
tuple keys (GH14438)
+ Bug in MultiIndex.set_levels where illegal level values were
still set after raising an error (GH13754)
+ Bug in DataFrame.to_json where lines=True and a value contained
a } character (GH14391)
+ Bug in df.groupby causing an AttributeError when grouping a
single index frame by a column and the index level
(:issue`14327`)
+ Bug in df.groupby where TypeError raised when
pd.Grouper(key=...) is passed in a list (GH14334)
+ Bug in pd.pivot_table may raise TypeError or ValueError when
index or columns is not scalar and values is not specified
(GH14380)

Mon Mar 27 14:00:00 2017 toddrme2178AATTgmail.com
- Fix documentation building

Sun Oct 23 14:00:00 2016 toddrme2178AATTgmail.com
- update to version 0.19.0:
(long changelog, see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-19-0-october-2-2016)

* Highlights include:
+ merge_asof() for asof-style time-series joining
+ .rolling() is now time-series aware
+ read_csv() now supports parsing Categorical data
+ A function union_categorical() has been added for combining
categoricals
+ PeriodIndex now has its own period dtype, and changed to be more
consistent with other Index classes
+ Sparse data structures gained enhanced support of int and bool
dtypes
+ Comparison operations with Series no longer ignores the index,
see here for an overview of the API changes.
+ Introduction of a pandas development API for utility functions
+ Deprecation of Panel4D and PanelND. We recommend to represent
these types of n-dimensional data with the xarray package.
+ Removal of the previously deprecated modules pandas.io.data,
pandas.io.wb, pandas.tools.rplot.
- specfile:

* require python3-Cython

* Split documentation into own subpackage to speed up build.

* Remove buildrequires for optional dependencies to speed up build.
- Remove unneeded patches:

* 0001_disable_experimental_msgpack_big_endian.patch ^

* 0001_respect_byteorder_in_statareader.patch