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datarray-0.1.0
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مشاهده بیشترتوضیحات
NumPy arrays with named axes and named indices.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | datarray-0.1.0 |
| نام | datarray |
| نسخه کتابخانه | 0.1.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Numpy Developers |
| ایمیل نویسنده | numpy-discussion@scipy.org |
| آدرس صفحه اصلی | http://github.com/bids/datarray |
| آدرس اینترنتی | https://pypi.org/project/datarray/ |
| مجوز | Simplified BSD |
######################################
Datarray: Numpy arrays with named axes
######################################
Scientists, engineers, mathematicians and statisticians don't just work with
matrices; they often work with structured data, just like you'd find in a
table. However, functionality for this is missing from Numpy, and there are
efforts to create something to fill the void. This is one of those efforts.
.. warning::
This code is currently experimental, and its API *will* change! It is meant
to be a place for the community to understand and develop the right
semantics and have a prototype implementation that will ultimately
(hopefully) be folded back into Numpy.
Datarray provides a subclass of Numpy ndarrays that support:
- individual dimensions (axes) being labeled with meaningful descriptions
- labeled 'ticks' along each axis
- indexing and slicing by named axis
- indexing on any axis with the tick labels instead of only integers
- reduction operations (like .sum, .mean, etc) support named axis arguments
instead of only integer indices.
*********
Prior Art
*********
In no particular order:
* `xray <http://xarray.pydata.org/en/stable>`_ - very close in spirit to this
package, xray implements named ND array axes and tick labels. It integrates
with (and depends on) Pandas;
* `pandas <http://pandas.pydata.org>`_ is based around a number of
DataFrame-esque datatypes.
* `Tabular <http://bitbucket.org/elaine/tabular/src>`_ implements a
spreadsheet-inspired datatype, with rows/columns, csv/etc. IO, and fancy
tabular operations.
* `scikits.statsmodels <http://scikits.appspot.com/statsmodels>`_ sounded as
though it had some features we'd like to eventually see implemented on top of
something such as datarray, and `Skipper <http://scipystats.blogspot.com>`_
seemed pretty interested in something like this himself.
* `scikits.timeseries <http://scikits.appspot.com/timeseries>`_ also has a
time-series-specific object that's somewhat reminiscent of labeled arrays.
* `pandas <http://pandas.pydata.org>`_ is based around a number of
DataFrame-esque datatypes.
* `pydataframe <https://pypi.python.org/pypi/pydataframe>`_ is supposed to be a
clone of R's data.frame.
* `larry <http://github.com/kwgoodman/la>`_, or "labeled array," often comes up
in discussions alongside pandas.
* `divisi <http://github.com/commonsense/divisi2>`_ includes labeled sparse and
dense arrays.
* `pymvpa <https://github.com/PyMVPA/PyMVPA>`_ provides Dataset class
encapsulating the data together with matching in length sets of attributes
for the first two (samples and features) dimensions. Dataset is not a
subclass of numpy array to allow other data structures (e.g. sparse
matrices).
* `ptsa <http://git.debian.org/?p=pkg-exppsy/ptsa.git>`_ subclasses
ndarray to provide attributes per dimensions aiming to ease slicing/indexing
given the values of the axis attributes
*************
Project Goals
*************
1. Get something akin to this in the numpy core;
2. Stick to basic functionality such that projects like scikits.statsmodels can
use it as a base datatype;
3. Make an interface that allows for simple, pretty manipulation that doesn't
introduce confusion;
4. Oh, and make sure that the base numpy array is still accessible.
****
Code
****
You can find our sources and single-click downloads:
* `Main repository`_ on Github;
* Documentation_ for the current release;
* Download the `current trunk`_ as a tar/zip file;
* Downloads of all `available releases`_.
The latest released version is always available from `pypi
<https://pypi.python.org/pypi/datarray>`_.
*******
Support
*******
Please put up issues on the `datarray issue tracker
<https://github.com/bids/datarray/issues>`_.
.. _main repository: http://github.com/bids/datarray
.. _Documentation: http://bids.github.com/datarray
.. _current trunk: http://github.com/bids/datarray/archives/master
.. _available releases: http://github.com/bids/datarray/releases
نیازمندی
| مقدار | نام |
|---|---|
| >=1.7 | numpy |
نحوه نصب
نصب پکیج whl datarray-0.1.0:
pip install datarray-0.1.0.whl
نصب پکیج tar.gz datarray-0.1.0:
pip install datarray-0.1.0.tar.gz