Data sets from Introductory Econometrics: A Modern Approach (6th ed, J.M. Wooldridge)
Project description
Wooldridge Meets Python
Data sets from Introductory Econometrics: A Modern Approach (6th ed, J.M. Wooldridge)
Description
A Python package which contains 111 data sets from one of the most famous econometrics textbooks for undergraduates.
How to Use
To import a <dataset>
:
from wooldridge import <dataset>
For example, to load a data set mroz
as pandas' DataFrame
into df
:
from wooldridge import mroz
df = mroz.load()
To show the description (e.g. variable definitions and sources) of a data set loaded, use one of the followings:
help(mroz.load)
?mroz.load
mroz.load?
To show the list of 111 data sets contained in the package when <dataset>
is loaded:
<dataset>.wooldridge()
For example,
mroz.wooldridge()
How to Install
pip install wooldridge
or
git clone https://github.com/spring-haru/wooldridge.git
pip install .
Notes on 401k
and 401ksubs
Those two data sets are renamed with an underscore as follows:
401k
->_401k
401ksubs
->_401ksubs
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
wooldridge-0.1.1.tar.gz
(48.6 kB
view hashes)
Built Distribution
Close
Hashes for wooldridge-0.1.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d2a8f447d5c3a4db53dde80c3522ccde730ba2783bbd06843a0904a40b454efc |
|
MD5 | ed9c5116cea5212a2d99ed256583f9af |
|
BLAKE2b-256 | 6c6af09436723637e7f16334071c8a39f1babe666b557d373297983ed38280e5 |