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  • Getting Started
  • Data Handling
    • Data handling with Pandas
    • Saving Simulation Results to a Database
    • Exogenous model input from a file
  • Desing Policy
  • Visualization
  • 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
  • Data Handling
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Data Handling

  • Data handling with Pandas
    • Loading the library
    • Loading data from CSV files
    • Selecting rows of data by name
    • Selecting rows of data by position
    • Renaming columns
    • Accessing specific columns
    • Element-wise Arithmetic
    • Array Operations
    • Merging Datasets
    • Interpolating missing values
    • Notes
    • Resources
  • Saving Simulation Results to a Database
    • Ingredients
    • The Recipe
  • Exogenous model input from a file
    • Aligning the model time bounds with that of the dataset
    • Pass in our timeseries data
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