./wip/py-scikits_timeseries, Time series manipulation

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Branch: CURRENT, Version: 0.91.3nb1, Package name: py312-scikits_timeseries-0.91.3nb1, Maintainer: jihbed.research

The scikits.timeseries module provides classes and functions for manipulating,
reporting, and plotting time series of various frequencies. The focus is on
convenient data access and manipulation while leveraging the existing
mathematical functionality in Numpy and SciPy


Required to run:
[graphics/py-matplotlib] [devel/py-setuptools] [math/py-numpy] [lang/python37]

Required to build:
[pkgtools/cwrappers]

Master sites:

RMD160: 24d2b6c1024265a59669aa99fd536b0334f60646
Filesize: 316.183 KB

Version history: (Expand)

CVS history: (Expand)


   2012-11-12 17:26:41 by othyro | Files touched by this commit (56) 
Log message:
MASTER_SITES -> MASTER_SITE_SOURCEFORGE; part 2/4. Let me know if this
breaks anything. Minor formatting and HOMEPAGE fixes in some files.
   2012-10-07 15:57:25 by Aleksej Saushev | Files touched by this commit (211) 
Log message:
Drop superfluous PKG_DESTDIR_SUPPORT, "user-destdir" is default these days.
Mark packages that don't or might probably not have staged installation.
   2012-05-11 15:19:28 by ndb | Files touched by this commit (6) 
Log message:
EGG_INFODIR in PLIST.
   2012-04-08 21:09:41 by Thomas Klausner | Files touched by this commit (127) 
Log message:
Remove python24 and all traces of it from pkgsrc.
Remove devel/py-ctypes (only needed by and supporting python24).
Remove PYTHON_VERSIONS_ACCEPTED and PYTHON_VERSIONS_INCOMPATIBLE
lines that just mirror defaults now.
Miscellaneous cleanup while editing all these files.
   2011-02-25 10:47:47 by Thomas Klausner | Files touched by this commit (76) 
Log message:
Let's assume for now that everything that worked with python-2.6 also
works with python-2.7.
   2011-01-17 23:21:34 by Kamel Derouiche | Files touched by this commit (4) | Imported package
Log message:
Import py26-scikits_timeseries-0.91.3 as wip/py-scikits_timeseries.

The scikits.timeseries module provides classes and functions for manipulating,
reporting, and plotting time series of various frequencies. The focus is on
convenient data access and manipulation while leveraging the existing
mathematical functionality in Numpy and SciPy