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Library to handle PC-Axis data in python using pandas DataFrames.

Project description

pyaxis is a python library for PC-Axis (or PX) formatted data manipulation which allows reading and writing PC-Axis [1] format with python, using the DataFrame structures provided by the widely accepted pandas library [2]. PX is a standard format for statistical files used by a large number of statistical offices. A package of software has been developed for this format: PX-Win, PX-Web and PX-Edit. pyaxis eases reading and parsing of PX files data and metadata into a pandas Dataframe and a dict structure, allowing their manipulation in a tabular and pythonic manner. pyaxis is provided under the Apache License 2.0.

[1]https://www.scb.se/px-en for PC-Axis information
[2]http://pandas.pydata.org for Python Data Analysis Library information

Installation

For installation:

pip install pyaxis

Usage

From PX to pandas DataFrame

Typical usage often looks like this:

from pyaxis import pyaxis

EXAMPLE_URL = 'http://www.ine.es/jaxiT3/files/t/es/px/2184.px'

px = pyaxis.parse(EXAMPLE_URL, encoding=encoding='ISO-8859-2')
print px['DATA']
print px['METADATA']

Project details


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