Time Shift
A simple Python utility to create lagged and lead variables for panel or time series data.
Installation
pip install scicraft
Usage
Time_shift:
from scicraft import time_shift
df_new = time_shift(variables=["sales", "price"], dataframe=df, id="firm", time="year", shift=1)
Mutate (function):
from scicraft import mutate
df=mutate(df, 'price>104','new_var',4)
Mutate (pandas api):
import scicraft as sc
df=df.sc.mutate('price>104','new_var',4)
1 maintainer
Metadata
1 maintainer
Release files for SciCraft 0.0.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scicraft-0.0.11.tar.gz | 4.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scicraft-0.0.11-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.0 kB
Release files / scicraft-0.0.11.tar.gz
| Download URL | scicraft-0.0.11.tar.gz |
|---|---|
| Size | 4.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / scicraft-0.0.11-py3-none-any.whl
| Download URL | scicraft-0.0.11-py3-none-any.whl |
|---|---|
| Size | 4.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.12.2
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