Skip to main content

Python wrapper for ICANE Statistical Data and Metadata API

Project description

pyicane is a Python wrapper for the Statistical Office of Cantabria’s (ICANE) metadata restful API. This module parses ICANE’s json data and metadata into Python objects and common data structures such as Pandas dataframes [1]. All ICANE’s API classes and methods are covered; also, time-series data can be downloaded into a Python Pandas dataframe structure.

pyicane is written and maintained by Miguel Expósito Martín and is distributed under the Apache 2.0 License (see LICENSE file).

[1] for Python Data Analysis Library information


pyicane requires pandas and requests packages. For installation:

pip install pyicane


Get a list of categories

Typical usage often looks like this:

from pyicane import pyicane

categories = pyicane.Category.find_all()
print categories

Get Time Series Data in a Dataframe

Conversion to dataframe is a useful feature:

from pyicane import pyicane

time_series = pyicane.TimeSeries.get('census-series-1900-2001')
print time_series.data_as_dataframe()

Get Time Series Metadata in a Dataframe

Let’s check the most relevant metadata:

from pyicane import pyicane

time_series = pyicane.TimeSeries.get('census-series-1900-2001')
print time_series.metadata_as_dataframe()

Get last updated data

Which was the last ICANE’s API data update:

from pyicane import pyicane

print pyicane.Data.get_last_updated()

Project details

Download files

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

Files for pyicane, version 0.1.2
Filename, size File type Python version Upload date Hashes
Filename, size pyicane-0.1.2.tar.gz (183.2 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page