[Pandas-dev] ANN: pandas v0.19.0rc1 - RELEASE CANDIDATE

[Claudiu Saftoiu]

I tested this out, looks pretty good so far.

On Wednesday, November 30, 2016 at 5:17:02 PM UTC-8, Claudiu Saftoiu wrote:
>
> Very exciting!
>
> On Thursday, September 8, 2016 at 3:12:02 AM UTC-7, Joris Van den Bossche 
> wrote:
>>
>> Hi,
>>
>> I'm pleased to announce the availability of the first release candidate 
>> of Pandas 0.19.0. Please try this RC and report any issues at the pandas 
>> issue tracker <https://github.com/pydata/pandas/issues>. 
>>
>> The release candidate can be installed with conda from our development 
>> channel (builds for osx-64, linux-64 and win-64 are available for Python 
>> 2.7, 3.4 and 3.5):
>>
>> conda install -c pandas pandas=0.19.0rc1
>>
>> or with pip from PyPI <https://pypi.python.org/pypi/pandas/0.19.0rc1> 
>> (wheels are available):
>>
>> pip install --pre pandas==0.19.0rc1
>>
>> ---
>> THIS IS NOT A PRODUCTION RELEASE
>>
>> This is a major release from 0.18.1 and includes a number of API changes, 
>> several new features, enhancements, and performance improvements along with 
>> a large number of bug fixes. 
>>
>> Highlights include:
>>
>>    - New method merge_asof for asof-style time-series joining, see here 
>>    <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0190-enhancements-asof-merge> 
>>    - The .rolling() method is now time-series aware, see here 
>>    <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0190-enhancements-rolling-ts> 
>>    - read_csv now supports parsing Categorical data, see here 
>>    <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0190-enhancements-read-csv-categorical> 
>>    - A function union_categorical has been added for combining 
>>    categoricals, see here 
>>    <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0190-enhancements-union-categoricals> 
>>    - PeriodIndex now has its own period dtype, and changed to be more 
>>    consistent with other Index classes. See here 
>>    <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0190-api-period> 
>>    - Sparse data structures gained enhanced support of int and bool 
>>    dtypes, see here 
>>    <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0190-sparse> 
>>    - Comparison operations with Series no longer ignores the index, see 
>>    here 
>>    <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0190-api-series-ops> 
>>    for an overview of the API changes.
>>    - Introduction of a pandas development API for utility functions, see 
>>    here 
>>    <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0190-dev-api>
>>    .
>>    - Deprecation of Panel4D and PanelND. We recommend to represent these 
>>    types of n-dimensional data with the xarray package 
>>    <http://xarray.pydata.org/en/stable/>.
>>    - Removal of the previously deprecated modules pandas.io.data, 
>>    pandas.io.wb, pandas.tools.rplot.
>>
>> See the Whatsnew 
>> <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html> file for 
>> more information. Please report any issues here 
>> <https://github.com/pydata/pandas/issues/>.
>>
>> A big thanks to all contributors!
>>
>> Joris
>>
>
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