handy functions to preprocess your dataframes or numpy arrays
Project description
Hello World
This is an project that contains preprocessing techniques for numpy arrays and panda dataframes.
Installation
Run the following to install:
pip install preprocessdf-yapbarry
Usage
from preprocessdf import preprocess
# Pass your dataframe (aka df) into the preprocess class
p = preprocess(df)
# Do standard scaling on your dataframe values
p.standard_scale()
For developers
pip install -e .[dev]
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file preprocessdf-yapbarry-0.0.2.tar.gz.
File metadata
- Download URL: preprocessdf-yapbarry-0.0.2.tar.gz
- Upload date:
- Size: 2.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f85c2282e0b9cdd87406f4635070025de436ddbc750c0b251f138d3e0f0f4583
|
|
| MD5 |
f6d820039f611cce5729afe3e707fca1
|
|
| BLAKE2b-256 |
691fe48ec412413a00e522c520674540cefff99e817b795d4b09d476ac888706
|
File details
Details for the file preprocessdf_yapbarry-0.0.2-py3-none-any.whl.
File metadata
- Download URL: preprocessdf_yapbarry-0.0.2-py3-none-any.whl
- Upload date:
- Size: 2.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
aa46c16e2bf67dc9978add3dcf4001d9f372c53f1182775f4351196771bb6c6d
|
|
| MD5 |
8b46c88b02836b05e3ffaecd420d36a8
|
|
| BLAKE2b-256 |
a65fe0ed57c966c555ae01ddd1f0c1ce7fbe8228fc1607057f32ea4e4fe9214e
|