Welcome to WEDAP’s documentation!

Github Repository

Contents:

• Quickstart Guide
  • Dependencies
  • Usage Examples
• API Documentation
  • wedap.H5_Pdist
    • H5_Pdist
  • wedap.H5_Plot
    • H5_Plot
  • mdap.MD_Pdist
    • MD_Pdist
  • mdap.MD_Plot
    • MD_Plot
  • wekap.Kinetics
    • Kinetics
• wedap modules
  • wedap.h5_pdist module
    • H5_Pdist
  • wedap.h5_plot module
    • H5_Plot
  • wedap.h5_gif module
    • make_gif()
• mdap modules
  • mdap.md_pdist module
    • MD_Pdist
  • mdap.md_plot module
    • MD_Plot
• wekap modules
  • wekap.kinetics module
    • Kinetics
• WEDAP Demo
  • Basic WEDAP usages with WESTPA H5 data
    • Example 1: Evolution Plot
    • Example 2: 1D Probability Distribution
    • Example 3: 2D Probability Distribution
    • Example 4: 3D Scatter Plot
    • Example 5: Joint Plot with Multiple Extra Features
  • MDAP: plotting directly from standard MD data
    • Example 1: 1D Timeseries
    • Example 2: 1D Probability Distribution
    • Example 3: 2D Probability Distribution
    • Example 4: 3D Scatter Plot
    • Example 5: Joint Plot with Extra Features
  • Advanced wedap examples
    • Example 1: Multi-panel Probability Distributions
    • Example 2: Multiple Datasets on One Plot
    • Example 3: Tracing Trajectories
    • Example 4: Making a GIF
    • Example 5: Data Extraction for Machine Learning with scikit-learn
• WEDAP Figures
  • Example 1: Evolution Plot
  • Example 2: 1D Probability Distribution
  • Example 3: 2D Probability Distribution
  • Example 4: 3D Scatter Plot
  • Example 5: 3D Hexbin Plot
  • Example 6: 2D Hist with contour lines
  • Example 7: 3D Contour Plot
  • Example 8: Joint Plot
  • Example 9: 4D Scatter Plot
  • Example 10: Tracing Trajectories
  • Example 11: Data Extraction for Machine Learning
  • Example 12: Plotting flux evolutions
  • Example 13: Making a GIF
  • Other WEDAP features not demonstrated:
  • TOC Figure

• Index