Welcome to exploralytics documentation!
A powerful toolkit for data exploration and visualization using Plotly.
Features
Interactive data visualization with Plotly backend
Consistent styling and modern design
Easy-to-use API for common visualization tasks
Support for various plot types: - Histograms (single and multiple) - Bar plots with customizable highlighting - Correlation analysis plots - Multi-subplot layouts
Quick Start
Installation
pip install exploralytics
Basic Usage
from exploralytics import Visualizer
# Initialize the visualizer
viz = Visualizer(
color="#2E75B6",
height=400,
width=800,
title_bold=True
)
# Create a simple histogram
fig = viz.plot_histogram(
df,
x_col='values',
title='Distribution of Values'
)
# Display the plot
fig.show()
User Guide
API Reference