VizDat 1.0.2

A fast and simple data visualization library for tabular data.

VizDat

Overview

VizDat is a simple and efficient visualization library designed to make data exploration easier.
It provides quick and intuitive functions (currently only one function) for visualizing data distributions, helping users gain insights quickly.

Features

• Fast and Simple – Quickly generate visualizations for tabular data.
• User-Friendly API – Easily integrates into any workflow.
• Lightweight – Minimal dependencies for high performance.

Installation

pip install vizdat

Usage

import vizdat

#Currently, this is the only function available.
vizdat.data_dist(data=None, bins=30, exclude=None, include=None, exclude_binary=False, color='skyblue', kde_color='crimson', kde=False)

What this function does:

• Plots histograms for all features in a DataFrame in a grid layout.
• The number of rows and columns is determined dynamically.

Parameters explaination:

• data (pd.DataFrame): The input DataFrame
• exclude (list): Features to exclude from visualization
• include (list): Features to specifically include
• exclude_binary (bool): Whether to exclude binary features (default: False)
• kde (bool): Whether to show Kernel Density Estimate (default: False)