fireviz 0.1.3

A quick and elegant visualization package for data analysis.

📊 fireviz - A Simple & Fast Data Visualization Library

fireviz is a lightweight Python package for quick and insightful data visualizations. It allows you to generate various plots using Matplotlib, Seaborn, Plotly, and NetworkX with minimal effort.

🚀 Features

✔ Supports multiple plot types: scatter, bar, line, heatmap, pie, treemap, network, sankey, and more!
✔ Handles both Pandas DataFrames and Series automatically.
✔ Built-in Exploratory Data Analysis (EDA) function.
✔ Uses Seaborn & Plotly for professional-quality visuals.
✔ Requires minimal configuration – just pass your data!

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📦 Installation

pip install fireviz

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🔥 Quick Start

1️⃣ Import the package

import pandas as pd
import fireviz as fv

2️⃣ Load your dataset

df = pd.read_csv("data.csv")

3️⃣ Generate Quick Visualizations

📌 Scatter Plot

fv.plot(df, x="column1", y="column2", kind="scatter")

📌 Histogram

fv.plot(df["column1"], kind="hist", bins=20)

📌 Correlation Heatmap

fv.plot(df, kind="heatmap")

📌 Treemap

fv.plot(df, x="category_column", y="value_column", kind="treemap")

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🔍 Exploratory Data Analysis (EDA)

The explore() function automatically generates visual summaries of your dataset.

fv.explore(df)

This will:
✅ Print dataset info, missing values, and statistics
✅ Plot histograms for numeric columns
✅ Plot count plots for categorical columns
✅ Generate a correlation heatmap

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📊 Supported Plot Types

Plot Type	kind Parameter
Scatter Plot	"scatter"
Line Chart	"line"
Box Plot	"box"
Bar Chart	"bar"
Bubble Chart	"bubble"
Area Chart	"area"
Heatmap	"heatmap"
Pie Chart	"pie"
Donut Chart	"donut"
Treemap	"treemap"
Funnel Chart	"funnel"
Waterfall Chart	"waterfall"
Choropleth Map	"choropleth"
Radar Chart	"radar"
Network Graph	"network"
Sankey Diagram	"sankey"
Gantt Chart	"gantt"
Bullet Chart	"bullet"
Density Plot	"density"
Stacked Bar Chart	"stacked_bar"

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🛠 Requirements

• Python 3.6+
• Pandas
• Matplotlib
• Seaborn
• Plotly
• NetworkX
• Squarify
• NumPy

Install dependencies manually if needed:

pip install pandas matplotlib seaborn plotly networkx squarify numpy

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📄 License

This project is licensed under the MIT License.

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🤝 Contributing

Feel free to open an issue or submit a pull request on GitHub.

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💬 Questions & Feedback

Got questions or feedback? Reach out to *[e-mail].

Happy Visualizing! 🎨📊🚀

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Let me know if you want any modifications! 🚀