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).
Installation
pyicane requires pandas and requests packages. For installation:
pip install pyicane
Usage
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()
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