1 file was added to this release more than 14 days after its initial publication. Inspect the release files before installing.
Python library for interacting with the TransparencyData.com API.
The TransparencyData.com API provides campaign contribution and lobbying data.
http://transparencydata.com/api/
python-transparencydata is a project of Sunlight Labs (c) 2010 Written by Jeremy Carbaugh <jcarbaugh@sunlightfoundation.com>
All code is under a BSD-style license, see LICENSE for details.
Source: http://github.com/sunlightlabs/python-transparencydata/
Requirements
python >= 2.4
simplejson >= 1.8 (not required with Python 2.6, will use built-in json module)
Usage
To initialize the api, all that is required is for it to be imported and for an API key to be defined.
(If you do not have an API key visit http://services.sunlightlabs.com/api/ to register for one.)
Import TransparencyData class and set your API key:
>>> from transparencydata import TransparencyData
>>> td = TransparencyData('sunlight-api-key')
Parameter Operators
Some parameters allow multiple values or greater than, less than, or between operations. We allow operators to be added similar to the method used by the Django ORM. The operator is appended to the end of the parameter name using double underscore.
>>> td.contributions(amount=100) # contributions equal to 100 dollars >>> td.contributions(amount__lt=100) # contributions less than 100 dollars>>> td.contributions(cycle=1990) # contributions from the 1990 election cycle >>> td.contributions(cycle__in=(1990,2008)) # contributions from the 1990 and 2008 election cycles
- gt
Greater than specified value.
- lt
Less than specified value.
- between
Between the lesser value and greater value. Parameters must be passed as a two-value tuple or list.
>>> td.contributions(date__between=(start_date, end_date))
- in
Matches any in a range of values. Parameter must be a tuple or list.
See the parameter documentation (http://transparencydata.com/api/) to find out which operators are valid for each parameter.
Campaign Contributions
To find all contributions to Chris Van Hollen from the state of CA during the 2008 election cycle:
>>> td.contributions(cycle=2008, contributor_state='CA', recipient_ft='van hollen')
A list of valid contributions parameters can be accessed programmatically:
>>> print td.contributions.parameters
Parameter documentation: http://transparencydata.com/api/#contributions
Response documentation: http://transparencydata.com/docs/#contributions
Lobbying
To find all lobbying conducted by John Wonderlich:
>>> td.lobbying(lobbyist_ft='john wonderlich')
A list of valid lobbying parameters can be accessed programmatically:
>>> print td.lobbying.parameters
Parameter documentation: http://transparencydata.com/api/#lobbying
Response documentation: http://transparencydata.com/docs/#lobbying
Metadata
Release files for python-transparencydata 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
File added late
1 file was uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
We recommend inspecting the release files before installing.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| python-transparencydata-0.1.tar.gz | 6.7 kB | Details |
Release files / python-transparencydata-0.1.tar.gz
File added late
This file was uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
We recommend inspecting the release file before installing.
| Download URL | python-transparencydata-0.1.tar.gz |
|---|---|
| Size | 6.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ab80ca3b36e1eea65c8d7fb00aaf32e36312afb8984e1d39f9c1b4051e78f1d9
|
|
BLAKE2b-256 checksum How to use checksums |
df572247f7360d77e75469c8dc46aac0d360a3a0d65f5b51855053e5120afffa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |