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