graphcart 0.1.0

A modular, one-stop data visualization package

visuals

visuals is a modular, one‑stop Python package for dataset visualization. It ships with a single high-level function, visualize, plus a set of focused helpers grouped by domain (basic, statistical, correlation, 3D, time‑series, interactive).

Installation

pip install visuals

Quick start

import pandas as pd
import seaborn as sns
from visuals.core import visualize

df = sns.load_dataset("iris")
visualize(df, "scatter", x="sepal_length", y="sepal_width", hue="species")
visualize(df, "heatmap")
visualize(df, "scatter3d", x="sepal_length", y="sepal_width", z="petal_length")

Plot types

• Basic: bar, line, scatter, hist, box, pie, area
• Statistical: violin, swarm, strip, kde
• Correlation: heatmap, pair
• Advanced: hexbin, bubble, radar, waterfall
• 3D: scatter3d, surface3d
• Time series: ts (line), rolling mean
• Interactive: scatter_int, map

Contributing

PRs welcome! Please run tests with pytest.

License

MIT