data_dispenser 0.1.1

Loads data from various formats

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

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

• xml (experimental)

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