mcp-plots

""" Visualization Engine Module Core chart generation functionality with support for multiple chart types, output formats, and styling options. Provides both matplotlib-based static charts and Mermaid text-based diagrams. This module contains: - Chart configuration classes and enums - Multi-format chart generator with matplotlib backend - Mermaid diagram generator for universal compatibility - Theme management and color palette support - Data preprocessing and validation utilities The visualization engine is designed to be flexible and extensible, supporting various chart types from simple bar charts to complex Sankey diagrams. All charts can be rendered in multiple formats to suit different client needs. Main Components: chart_config: Configuration classes, enums, and data structures generator: Main chart generation engine using matplotlib mermaid_generator: Mermaid diagram generator for text-based output Supported Chart Types: - Line charts for time series data - Bar charts for categorical comparisons - Pie charts for proportional data - Scatter plots for correlation analysis - Heatmaps for 2D data visualization - Area charts for volume visualization - Box plots for statistical distribution - Histograms for frequency distribution - Funnel charts for process flow - Gauge charts for KPI display - Radar charts for multi-dimensional comparison - Sankey diagrams for flow visualization """ from .chart_config import ( ChartConfig, ChartData, ChartType, Theme, OutputFormat, DisplayMode, OutputTarget ) from .generator import ChartGenerator from .mermaid_generator import MermaidGenerator __all__ = [ "ChartConfig", "ChartData", "ChartType", "Theme", "OutputFormat", "DisplayMode", "OutputTarget", "ChartGenerator", "MermaidGenerator" ]