Package: jsonstat.py
jsonstat.pyis a library for reading theJSON-statdata format
maintained and promoted byXavier Badosa.
The JSON-stat format is a JSON format for publishing dataset.
JSON-stat is used by several institutions to publish statistical data.
An incomplete list is:Eurostatthat provide statistical information about the European Union (EU)Italian National Institute of Statistics IstatCentral Statistics Office of IrelandUnited Nations Economic Commission for Europe (UNECE)statistical data arehereStatistics NorwayUK Office for national statisticsseetheir blog postothers…jsonstat.pylibrary tries to mimic as much is possible in python
thejson-stat Javascript Toolkit.
One of the library objectives is to be helpful in exploring dataset
using jupyter (ipython) notebooks.For a fast overview of the feature you can start from this example notebookoecd-canada-jsonstat_v1.htmlYou can also check out some of the jupyter example notebook from theexample directory on githubor from thedocumentationAs bonusjsonstat.pycontains an useful classes to explore dataset
published byIstat.You can find useful another python librarypyjstatby Miguel Expósito Martín concerning json-stat format.This library is in beta status.
I am actively working on it and hope to improve this project.
For every comment feel free to contact megf@26fe.comYou can find source atgithub,
where you can open aticket, if you wish.You can find the generated documentation atreadthedocs.InstallationPip will install all required dependencies. For installation:pip install jsonstat.pyUsageSimple UsageThere is a simple command line interface, so you can experiment to parse jsonstat file without write code:# parsing collection
$ jsonstat info --cache_dir /tmp http://json-stat.org/samples/oecd-canada.json
downloaded file(s) are stored into '/tmp'
download 'http://json-stat.org/samples/oecd-canada.json'
Jsonsta    tCollection contains the following JsonStatDataSet:
+-----+----------+
| pos | dataset  |
+-----+----------+
| 0   | 'oecd'   |
| 1   | 'canada' |
+-----+----------+

# parsing dataset
$ jsonstat info --cache_dir /tmp  "http://ec.europa.eu/eurostat/wdds/rest/data/v2.1/json/en/tesem120?sex=T&precision=1&age=TOTAL&s_adj=NSA"
downloaded file(s) are stored into '/tmp'
download 'http://ec.europa.eu/eurostat/wdds/rest/data/v2.1/json/en/tesem120?sex=T&precision=1&age=TOTAL&s_adj=NSA'
name:   'Unemployment rate'
label:  'Unemployment rate'
size: 467
+-----+-------+-------+------+------+
| pos | id    | label | size | role |
+-----+-------+-------+------+------+
| 0   | s_adj | s_adj | 1    |      |
| 1   | age   | age   | 1    |      |
| 2   | sex   | sex   | 1    |      |
| 3   | geo   | geo   | 39   |      |
| 4   | time  | time  | 12   |      |
+-----+-------+-------+------+------+code example:url = 'http://json-stat.org/samples/oecd-canada.json'
collection = jsonstat.from_url(url)

# print list of dataset contained into the collection
print(collection)

# select the first dataset of the collection and print a short description
oecd = collection.dataset(0)
print(oecd)

# print description about each dimension of the dataset
for d in oecd.dimensions():
    print(d)

# print a datapoint contained into the dataset
print(oecd.value(area='IT', year='2012'))

# convert a dataset in pandas dataframe
df = oecd.to_data_frame('year')For more python script examples seeexamples directory.For jupyter (ipython) notebooks seeexamples-notebooks directory.SupportThis is an open source project, maintained in my spare time.
Maybe a particular features or functions that you would like are missing.
But things don’t have to stay that way: you can contribute the project development yourself.
Or notify me and ask to implement it.Bug reports and feature requests should be submitted
using thegithub issue tracker.
Please provide a full traceback of any error you see and if possible a sample file.
If you are unable to make a file publicly available then contact me atgf@26fe.com.You can find support also on thegoogle group.How to Contribute CodeAny help will be greatly appreciated, just follow those steps:Fork it. Start a new fork for each independent feature, don’t try to fix all problems at the same time,
it’s easier for those who will review and merge your changes.Create your feature branch (git checkout-bmy-new-feature)Write your code. Add unit tests for your changes!
If you added a whole new feature, or just improved something, you can be proud of it,
so add yourself to theAUTHORSfile :-)
Update the docs!Commit your changes (git commit-am'Added some feature')Push to the branch (git push originmy-new-feature)Create new Pull Request. Click on the large “pull request” button on your repository.
Wait for your code to be reviewed, and, if you followed all theses steps, merged into the main repository.Licensejsonstat.pyis provided under the LGPL license.
See LICENSE file.