Metadata-Version: 2.0
Name: poverty
Version: 7.2
Summary: A Python Package to calculate indexes related to poverty and inequality.
Home-page: https://github.com/ronak-07/poverty
Author: Ronak Sisodia
Author-email: ronaksisodia07@gmail.com
License: MIT
Description-Content-Type: UNKNOWN
Keywords: Poverty,Inequality,Economics,Gini Coefficient,Lorenz Curve
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: numpy
Requires-Dist: matplotlib

POVERTY
------------------
A Python Package to calculate indexes related to poverty and inequality.

Who is this for?
------------------------
For anybody who want to calculate indexes related to poverty and inequality using a python package.


Installing
--------------------------

You can install ``poverty package`` using pip::

    $ pip install poverty


Implemented Features
---------------------------
- Headcount Index
- Poverty Index
- Squared Poverty Index
- Sen Index
- Sen-Shorrocks-Thon Index
- Watts Index
- Gini Coefficient
- Lorenz Curve

Commands
------------------


	>>> import poverty as pt

	.. #Base line for poverty

	>>> poverty_line=125

	.. #List containing expenditure

	>>> expenditure=[100,110,150,160]

	.. #To calculate Headcount Index

	>>> pt.calc_head(expenditure,poverty_line)

	.. #To calculate Poverty Index 

	>>> pt.pov_index(expenditure,poverty_line)

	.. #To calculate Squared Poverty Index

	>>> pt.squared_pov_index(expenditure,poverty_line)

	.. #To calculate Sen Index

	>>> pt.sen_index(expenditure,poverty_line)

	.. #To calculate Sen-Shorrocks-Thon index

	>>> pt.sst_index(expenditure,poverty_line)

	.. #To calculate Watts Index

	>>> pt.watts_index(expenditure,poverty_line)

	.. #To calculate Gini Coefficient

	>>> pt.gini(expenditure)

	.. #To draw Lorenz Curve

	>>> pt.draw_lorenz(expenditure)


Contributor
----------------
`Ronak Sisodia <https://github.com/ronak-07>`__





