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-python 0.0.1
File	Size	Uploaded
data_wrangling_python-0.0.1.tar.gz	2.9 kB	Mar 24, 2025	Details

Table of built distributions (wheels) for data-wrangling-python 0.0.1
File	Interpreter	ABI	Platform	Reset
data_wrangling_python-0.0.1-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_python-0.0.1.tar.gz
Size	2.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`6f5257ebc9b4b1d00d1586536f572a4537947bac7e55d5fc46c1e0b070ac7a0c`
BLAKE2b-256 checksum How to use checksums	`1bdcc395eeef4789bf8476e144a6d8013b30e3a265fe2738126e6603e40b9abd`
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_python-0.0.1-py3-none-any.whl
Size	2.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`9675da329c69847a3d47ebe80db93b2756e2f1d1f3cab02d4e3275e08a5204df`
BLAKE2b-256 checksum How to use checksums	`a33316c2a9a3a30162d2bc4fa164abe060a31a4c113345fc1cd68f6637421bc1`
Upload date	Mar 24, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.12.2`

This release

0.0.1 This release