# Plot System

## Overview
The plot system is a visualization component of the Copycat architecture that provides plotting and graphing capabilities for analyzing and displaying system data. This system helps in visualizing various metrics and relationships in the analogical reasoning process.

## Key Features
- Data visualization
- Graph generation
- Metric plotting
- Analysis display
- State management

## Plot Types
1. **Performance Plots**
   - Activation curves
   - Execution timelines
   - Success rates
   - Error distributions

2. **System Plots**
   - Object counts
   - Link distributions
   - State changes
   - Memory usage

3. **Analysis Plots**
   - Pattern frequencies
   - Relationship maps
   - Similarity matrices
   - Correlation graphs

## Usage
Plots are generated through the plot system:

```python
# Create a plot
plot = Plot(data, plot_type)

# Configure plot
plot.set_title("Title")
plot.set_labels("X", "Y")

# Display plot
plot.show()
```

## Dependencies
- Python 3.x
- matplotlib library
- No other external dependencies required

## Related Components
- Statistics: Provides data for plotting
- Curses Reporter: Uses plots for display
- Workspace: Provides object data
- Slipnet: Provides activation data 