datetransform
Feature engineering for dates
Installation
datetransform requires Python 3.5+.
pip install datetransform
Example Usage
from datetransform.transform import add_date_features
import pandas as pd
df = pd.read_csv('someFile.csv')
df = add_date_features(df, date_field_name='dateCol') # This dataframe now contains additional date features.
Metadata
Release files for datetransform 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| datetransform-0.2.0.tar.gz | 2.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datetransform-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.7 kB
Release files / datetransform-0.2.0.tar.gz
| Download URL | datetransform-0.2.0.tar.gz |
|---|---|
| Size | 2.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.4
|
Release files / datetransform-0.2.0-py3-none-any.whl
| Download URL | datetransform-0.2.0-py3-none-any.whl |
|---|---|
| Size | 3.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.4
|