Scikit-timeseries is a project mainly written in ..., based on the View license.
A fork of http://pytseries.sourceforge.net/
Introduction
The :mod: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.
If the following scenarios sound familiar to you, then you will likely find
the :mod:scikits.timeseries
module useful:
These are just some of the scenarios that are made very simple with the
:mod:scikits.timeseries
module.
Installing
In order to use the scikits.timeseries
package, the following external
packages must be installed beforehand:
Python 2.4 or later. Please note that Python 3 is not supported yet.
setuptools
scikits
is a namespace package, and as a result every scikit
requires
setuptools to be installed to function properly.
Numpy 1.3.0 or later.
Numpy is a library to manipulate large arrays of numerical data.
Version 1.3.0 provides improved support to numpy.ma.MaskedArray
objects
with structured datatype.
.. _Python: http://www.python.org/download/ .. _setuptools: http://pypi.python.org/pypi/setuptools .. _Numpy: http://www.scipy.org/Download
The following packages are strongly recommended:
SciPy 0.7.0 or later:
SciPy is a set of Numpy_-based tools for engineering and scientific applications.
Some of the scikits.timeseries.lib
sub-modules (lib.interpolate
,
lib.moving_funcs
...) use SciPy_ interpolation and signal functions.
matplotlib 0.98.0 or later:
matplotlib is a Python 2D plotting library.
scikits.timeseries
includes some extensions to matplotlib_ to plot
time series.
PyTables 2.0 or later:
PyTables is a package for managing hierarchical datasets, using
the HDF5 <http://www.hdfgroup.org/HDF5/>
_ format.
scikits.timeseries
provides support to store time series with missing data.
.. _SciPy: http://www.scipy.org/Download .. _matplotlib: http://matplotlib.sourceforge.net .. _PyTables: http://www.pytables.org
You can download source code and windows installers from the
sourceforge project page <https://sourceforge.net/project/showfiles.php?group_id=239604>
_.
For svn repository access::
svn co http://svn.scipy.org/svn/scikits/trunk/timeseries timeseries
To install on windows, it is recommend that you use the pre-built installers
from the
sourceforge project page <https://sourceforge.net/project/showfiles.php?group_id=239604>
_.
To install the scikits.timeseries
package directly from source, run the
command::
python setup.py install