Time Shift

A simple Python utility to create lagged and lead variables for panel or time series data.

Installation

pip install data_wrangling

from data_wrangling import time_shift

df_new = time_shift(variables=["sales", "price"], dataframe=df, id="firm", time="year", shift=1)

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for data-wrangling 0.0.2
File	Size	Uploaded
data_wrangling-0.0.2.tar.gz	3.0 kB	Mar 24, 2025	Details

Table of built distributions (wheels) for data-wrangling 0.0.2
File	Interpreter	ABI	Platform	Reset
data_wrangling-0.0.2-py3-none-any.whl 2.9 kB Mar 24, 2025	Python 3	none	any	Details

Total release size: 5.9 kB

Download URL	data_wrangling-0.0.2.tar.gz
Size	3.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`508a4dffe640844b0c17770277b5f8aca4631b484f46aaa462419c07a2b29500`
BLAKE2b-256 checksum How to use checksums	`d6638e6ccbb9b3ade875870db1c0e43a7b3768a9f9fb4d7d67910374cff6224a`
Upload date	Mar 24, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.12.2`

Download URL	data_wrangling-0.0.2-py3-none-any.whl
Size	2.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`3a866022b9c6b16bdc56db3b1da36abdd86da94bf1ab477a9c7c62e7ebab352b`
BLAKE2b-256 checksum How to use checksums	`c8add2b1bf57e377195d3de43a588d27d49e357b9d828e055c2b49358f0d1b64`
Upload date	Mar 24, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.12.2`