A package for EDA and Sci-Kit Learn visualisations and utilities
Project description
modelviz
modelviz is a Python package designed to simplify the visualization of data distributions, making it a powerful tool for exploratory data analysis (EDA). With customizable histogram plotting and support for popular visualization libraries like Matplotlib and Plotly, modelviz helps users quickly understand their data.
Installation
Install modelviz via pip:
pip install modelviz
Features
Plot Feature Histograms:
- Generate histograms for all numeric columns in a pandas DataFrame.
- Exclude binary-encoded columns for cleaner visualizations.
- Customize the number of bins, colors, and labels.
Importing the Package
import pandas as pd
from modelviz import plot_feature_histograms
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 modelviz-1.0.2.tar.gz.
File metadata
- Download URL: modelviz-1.0.2.tar.gz
- Upload date:
- Size: 10.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
91e8d0a8c498576f3789bc0210ae2e3e8513674c82e28dc511f37e80276f9ebf
|
|
| MD5 |
9efcad806b83915810ca12c0af2878b5
|
|
| BLAKE2b-256 |
2958523ecdf9396cdfcb595a0fd2bccb33a2d0543597f86a4aa50127e56f899d
|
File details
Details for the file modelviz-1.0.2-py3-none-any.whl.
File metadata
- Download URL: modelviz-1.0.2-py3-none-any.whl
- Upload date:
- Size: 15.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
57a8a68083f1424ad80fcdedabc4a5dc4dca641f60efcd283202a54b0c106394
|
|
| MD5 |
88b6c3e1844f26b6c28af21753b6d504
|
|
| BLAKE2b-256 |
d68071d971890cb7600c9938850bd6a7dc0845adbdfb11efd39230dc62745220
|