Skip to main content

Crunch.io Client Library

Project description

A Python client library for Crunch.io.

Using pycrunch

To use pycrunch in your project, run:

$ python setup.py develop

This will make the code in this directory available to other projects.

Getting started

Start a simple site session via:

>>> import pycrunch
>>> site = pycrunch.connect("me@mycompany.com", "yourpassword", "https://app.crunch.io/api/")

Or, if you have a crunch access token:

>>> import pycrunch
>>> site = pycrunch.connect_with_token("DFIJFIJWIEJIJFKSJLKKDJKFJSLLSLSL", "https://app.crunch.io/api/")

Then, you can browse the site. Use print to pretty-indent JSON payloads:

>>> print site
pycrunch.shoji.Catalog(**{
    "element": "shoji:catalog",
    "self": "https://app.crunch.io/api/",
    "description": "The API root.",
    "catalogs": {
        "datasets": "https://app.crunch.io/api/datasets/",
        ...
    },
    "urls": {
        "logout_url": "https://app.crunch.io/api/logout/",
        ...
    },
    "views": {
        "migration": "https://app.crunch.io/api/migration/"
    }
})

URI’s in payloads’ catalogs, views, fragments, and urls collections are followable automatically:

>>> print site.datasets
pycrunch.shoji.Catalog(**{
    "self": "https://app.crunch.io/api/datasets/",
    "element": "shoji:catalog",
    "index": {
        "https://app.crunch.io/api/datasets/dbf9fca7b727/": {
            "owner_display_name": "me@mycompany.com",
            "description": "",
            "id": "dbf9fca7b727",
            "owner_id": "https://app.crunch.io/api/users/253b68/",
            "archived": false,
            "name": "Hog futures tracking (May 2014)"
        },
    },
    ...
})

Each recognized JSON payload also automatically gives dotted-attribute access to the members of each JSON object:

>>> print site.datasets.index.values()[0]
pycrunch.shoji.Tuple(**{
    "owner_display_name": "me@mycompany.com",
    "description": "",
    "id": "dbf9fca7b727",
    "owner_id": "https://app.crunch.io/api/users/253b68/",
    "archived": false,
    "name": "Hog futures tracking (May 2014)"
})

Responses may also possess additional helpers, like the entity property of each Tuple in a catalog’s index, which follows the link to the Entity resource:

>>> print site.datasets.index.values()[0].entity_url
"https://app.crunch.io/api/datasets/dbf9fca7b727/"
>>> print site.datasets.index.values()[0].entity
pycrunch.shoji.Entity(**{
    "self": "https://app.crunch.io/api/datasets/dbf9fca7b727/",
    "element": "shoji:entity",
    "description": "Detail for a given dataset",
    "body": {
        "archived": false,
        "user_id": "253b68",
        "name": "Hog futures tracking (May 2014)"
        "weight": "https://app.crunch.io/api/datasets/dbf9fca7b727/variables/36f5404/",
        "creation_time": "2014-03-06T18:23:26.780752+00:00",
        "description": ""
    },
    "catalogs": {
        "batches": "https://app.crunch.io/api/datasets/dbf9fca7b727/batches/",
        "joins": "https://app.crunch.io/api/datasets/dbf9fca7b727/joins/",
        "variables": "https://app.crunch.io/api/datasets/dbf9fca7b727/variables/",
        "filters": "https://app.crunch.io/api/datasets/dbf9fca7b727/filters/",
        ...
    },
    "views": {
        "cube": "https://app.crunch.io/api/datasets/dbf9fca7b727/cube/",
        ...
    },
    "urls": {
        "revision_url": "https://app.crunch.io/api/datasets/dbf9fca7b727/revision/",
        ...
    },
    "fragments": {
        "table": "https://app.crunch.io/api/datasets/dbf9fca7b727/table/"
    }
})

You typically add new resources to a Catalog via its create method:

>>> ds = site.datasets.create({"body": {
        'name': "My first dataset"
    }}, refresh=True)
>>> gender = ds.variables.create({"body": {
        'name': 'Gender',
        'alias': 'gender',
        'type': 'categorical',
        'categories': [
            {'id': -1, 'name': 'No Data', 'numeric_value': None, 'missing': True},
            {'id': 1, 'name': 'M', 'numeric_value': None, 'missing': False},
            {'id': 2, 'name': 'F', 'numeric_value': None, 'missing': False}
        ],
        'values': [1, 2, {"?": -1}, 2]
    }}, refresh=True)
>>> print ds.table.data
pycrunch.elements.JSONObject(**{
    "e7f361628": [
        1,
        2,
        {"?": -1},
        2
    ]
})

To access a Pandas Dataframe of the data in your dataset:

>>> from pycrunch import pandaslib as crunchpandas
>>> df = crunchpandas.dataframe_from_dataset(site,'baadf00d000339d9faadg00beab11e')
>>> print(df)
< Draws a dataframe table >

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
pycrunch-0.4.10-py2.py3-none-any.whl (41.2 kB) Copy SHA256 hash SHA256 Wheel py2.py3
pycrunch-0.4.10.tar.gz (43.4 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page