term-plot-mc 0.1.1

Draw simple plots and charts in the terminal using ASCII symbols

Terminal Plot MC

Draw beautiful plots and charts in your terminal using ASCII and Unicode symbols

Features

• Bar Charts - Horizontal and vertical bar charts for categorical data
• Line Charts - Single and multi-series line plots with automatic scaling
• Scatter Plots - Visualize correlations and relationships
• Histograms - Show data distributions with customizable bins
• Dual Modes - Beautiful Unicode symbols or ASCII for compatibility
• Color Support - Optional ANSI colors for better visualization
• Zero Dependencies - Pure Python, works anywhere
• Lightweight - Fast and minimal resource usage

Installation

From PyPI

pip install term-plot

From source

git clone https://github.com/mosioc/term-plot.git
cd term-plot
pip install -e .

Quick Start

Bar Chart

from term_plot import BarChart

# Simple horizontal bar chart
data = [23, 45, 12, 67, 34, 89, 56]
labels = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']

chart = BarChart(data, labels=labels, title="Daily Sales", width=50)
print(chart.horizontal())

# Vertical bar chart
chart = BarChart(data, labels=labels, title="Daily Sales", height=15)
print(chart.vertical())

Line Chart

from term_plot import LineChart

# Single series
data = [1, 3, 7, 4, 8, 6, 9, 12, 10]
chart = LineChart(data, title="Temperature Over Time", width=60, height=15)
print(chart.plot())

# Multiple series
data = {
    "Product A": [5, 7, 9, 12, 15, 18, 20],
    "Product B": [3, 5, 8, 10, 12, 15, 17]
}
chart = LineChart(data, title="Sales Comparison", width=70, height=20)
print(chart.plot())

Scatter Plot

from term_plot import ScatterPlot

x_data = [1, 2, 3, 4, 5, 6, 7, 8, 9]
y_data = [2, 4, 3, 5, 7, 6, 8, 9, 8]

chart = ScatterPlot(x_data, y_data, title="Correlation Plot", width=50, height=15)
print(chart.plot())

Histogram

from term_plot import Histogram
import random

# Generate sample data
data = [random.gauss(50, 15) for _ in range(1000)]

chart = Histogram(data, bins=15, title="Test Score Distribution", width=60, height=15)
print(chart.plot())

Customization Options

ASCII vs Unicode

# Unicode mode (default) - prettier but requires Unicode support
chart = BarChart(data, labels=labels, use_unicode=True)

# ASCII mode - works everywhere
chart = BarChart(data, labels=labels, use_unicode=False)

Colors

# With colors (default)
chart = BarChart(data, labels=labels, color=True)

# Without colors
chart = BarChart(data, labels=labels, color=False)

Size Control

# Custom width and height
chart = LineChart(data, width=80, height=25)

Examples

Check out the examples/ directory for more:

• bar_chart_example.py - Various bar chart styles
• line_chart_example.py - Line chart examples including sine waves
• demo_all.py - Comprehensive demo of all chart types

Run examples:

cd examples
python demo_all.py

Testing

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run tests with coverage
pytest --cov=term_plot

Requirements

• Python 3.8 or higher
• No external dependencies!

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Inspired by various terminal plotting libraries
• Unicode block elements from the Unicode standard
• ANSI color codes for terminal colors