./graphics/py-pandas, Python Data Analysis Library

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Branch: CURRENT, Version: 0.23.3, Package name: py27-pandas-0.23.3, Maintainer: bad

pandas is an open source, BSD-licensed library providing
high-performance, easy-to-use data structures and data analysis tools
for the Python programming language.


Required to run:
[graphics/py-matplotlib] [devel/py-setuptools] [time/py-dateutil] [time/py-pytz] [databases/py-sqlite3] [math/py-scipy] [math/py-numpy] [math/py-numexpr] [lang/python27] [math/py-bottleneck] [math/py-tables]

Required to build:
[pkgtools/cwrappers]

Master sites:

SHA1: d45f69b353137af0f38dd0f2b6528b873ca85050
RMD160: 282666436ff5e98d2d0a62cfe92b495258f45e69
Filesize: 10254.332 KB

Version history: (Expand)


CVS history: (Expand)


   2018-07-09 10:22:45 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-pandas: updated to 0.23.3

0.23.3:
This is a minor bug-fix release in the 0.23.x series and includes a fix for the \ 
source distribution on Python 3.7. We recommend that all users upgrade to this \ 
version.
   2018-07-05 03:21:05 by Min Sik Kim | Files touched by this commit (1) | Package updated
Log message:
Update path to math/py-tables
   2018-07-04 08:50:04 by Adam Ciarcinski | Files touched by this commit (1)
Log message:
py-pandas: revbump for py-tables
   2018-06-18 09:08:23 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-pandas: updated to 0.23.1

pandas 0.23.1
This is a minor release from 0.23.0 and includes a number of bug fixes and
performance improvements.
   2018-05-30 09:56:30 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-pandas: updated to 0.23.0

v0.23.0:

This is a major release from 0.22.0 and includes a number of API changes,
deprecations, new features, enhancements, and performance improvements along
with a large number of bug fixes. We recommend that all users upgrade to this
version.

Highlights include:
- Round-trippable JSON format with 'table' orient
- Instantiation from dicts respects order for Python 3.6+
- Dependent column arguments for assign
- Merging / sorting on a combination of columns and index levels
- Extending Pandas with custom types
- Excluding unobserved categories from groupby
- Changes to make output shape of DataFrame.apply consistent
   2018-01-30 10:21:44 by Adam Ciarcinski | Files touched by this commit (1)
Log message:
Now DEPENDS on py-matplotlib rather than buildlinking
   2018-01-05 17:13:51 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-pandas: updated to 0.22.0

v0.22.0:

This is a major release from 0.21.1 and includes a single, API-breaking change. \ 
We recommend that all users upgrade to this version after carefully reading the \ 
release note.

The only changes are:
* The sum of an empty or all-NA Series is now 0
* The product of an empty or all-NA Series is now 1
* We’ve added a min_count parameter to .sum() and .prod() controlling the \ 
minimum number of valid values for the result to be valid. If fewer than \ 
min_count non-NA values are present, the result is NA. The default is 0. To \ 
return NaN, the 0.21 behavior, use min_count=1.
   2017-12-14 14:38:00 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-pandas: updated to 0.21.1

v0.21.1:
Restore Matplotlib datetime Converter Registration
New features
- Improvements to the Parquet IO functionality
- Other Enhancements
Deprecations
Performance Improvements
Bug Fixes
- Conversion
- Indexing
- I/O
- Plotting
- Groupby/Resample/Rolling
- Reshaping
- Numeric
- Categorical
- String