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  • Getting Started
  • Data Handling
  • Desing Policy
  • Visualization
    • Basic Visualization with matplotlib
    • Other Visualization Packages in Python
    • Phase Portraits
    • Demo of a KDE plot beside timeseries set
    • Demo of a KDE plot beside timeseries set (Interactive)
    • Plotting a Suite of Simulations
  • Model Fitting
  • Geographic Analyses
  • Model Comparison
  • Sensitivity
  • Surrogating Functions
  • Testing
  • Realtime Data Incorporation
  • Model Development Workflow
  • Wrapper EMAWorkbench
  • Data Used in this Cookbook
  • Chapters to be Written
  • End Notes
PySD-Cookbook
  • Visualization
  • View page source

Visualization

  • Basic Visualization with matplotlib
    • Loading matplotlib and setting up the notebook environment
    • Load data to plot
    • Basic plotting
    • Labeling axes and title
    • Changing line properties
    • Specifying axis bounds
    • Multiple lines
    • Other plot types
    • Saving figures
  • Other Visualization Packages in Python
    • Seaborn
    • MPLD3
  • Phase Portraits
    • Ingredients
    • Recipe
  • Demo of a KDE plot beside timeseries set
    • Load the model using PySD
    • Generate a set of parameters to use as input
    • Run the model with the various parameters
    • Draw a plot showing the results, and a marginal density plot
  • Demo of a KDE plot beside timeseries set (Interactive)
    • Load the model using PySD
    • Generate a set of parameters to use as input
    • Run the model with the various parameters
    • Draw a static plot showing the results, and a marginal density plot
    • Interactive plot using python backend
    • Interactive figure with javascript background
  • Plotting a Suite of Simulations
    • Libraries
    • Loading Model
    • Creating a suite of run parameters
    • Run the model with the various parameters
    • Draw a static plot showing the results, and a marginal density plot
    • Static density plot with selector
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