python-bar-chart-generator

name	python-bar-chart-generator
description	Create bar charts from data using Python with matplotlib and compile results into visualization reports

Python Bar Chart Generator Skill

Overview

This skill creates bar charts from data using Python (matplotlib/seaborn) and saves visualizations as PNG files.

Workflow

1. Prepare Data - Structure data as lists or dictionaries
2. Create Chart - Use matplotlib to generate bar chart
3. Style Chart - Apply colors, labels, and formatting
4. Save Output - Export as PNG file
5. Display Results - Show chart and summary table

Implementation

import matplotlib.pyplot as plt

def create_bar_chart(data: dict, title: str, xlabel: str, ylabel: str, filename: str):
    """Create a styled bar chart from dictionary data."""
    plt.figure(figsize=(10, 6))
    plt.bar(data.keys(), data.values(), color='steelblue')
    plt.title(title, fontsize=14, fontweight='bold')
    plt.xlabel(xlabel)
    plt.ylabel(ylabel)
    plt.xticks(rotation=45)
    plt.tight_layout()
    plt.savefig(filename)
    plt.close()
    return filename

Usage Example

# Programming languages data
languages = {
    'Python': 15.24,
    'C': 11.48,
    'C++': 10.65,
    'Java': 10.42,
    'C#': 7.15
}

create_bar_chart(languages, 'Top 5 Programming Languages 2024', 'Language', 'Rating (%)', 'chart.png')

Best Practices

• Use tight_layout() to prevent label cutoff
• Choose contrasting colors for readability
• Add value labels on bars when showing specific numbers
• Include source attribution in chart title
• Save high-resolution PNG (dpi=300)