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Loads data from various formats

Project description

==============
data-dispenser
==============

.. image:: https://travis-ci.org/catherinedevlin/data-dispenser.svg?branch=master
:alt: Travis build status

Given a source of rowlike data, acts as a generator of OrderedDicts.

Usage::

src = Source('mydata.csv')
for row in src:
print(row)

data-dispenser thus serves as a single API for a variety of data sources.

* Free software: MIT license

Data source types supported
...........................

* file names / paths
* open file objects
* pymongo Collection objects
* strings interpretable as data
* URLs beginning with http:// or https://

Will work most reliably against filenames with extensions that indicate
the data format; otherwise data-dispenser may guess the input format wrong.

Data input formats supported
............................

* csv
* yaml (requires ``pyyaml``)
* json
* pickle
* ``eval``-able Python
* xls
* xml (experimental)
* HTML with ``<table>``s

Multiple files
..............

File paths with wildcards will be
effectively concatenated into one large data source.

Load limits
...........

Large data sources could overwhelm your system's memory. Passing a ``limit``
keyword to the ``Source`` constructor limits the rows returned from each
source. For file paths with wildcards, the limit applies to each file
source, not to the number of file sources.

Code
----

https://pypi.python.org/pypi/data_dispenser

Source and bug tracker
----------------------

https://github.com/catherinedevlin/data-dispenser





History
-------

0.1.0 (2014-05-21)
++++++++++++++++++

* First release on PyPI.

0.1.1 (2014-05-23)
++++++++++++++++++

* Fixed bugs in handling non-listlike YAML files

0.2.0 (2014-07-14)
++++++++++++++++++

* Support .xls
* Support URLs
* Support wildcards

0.2.1 (2014-27-14)
++++++++++++++++++

* Support .html

Project details


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