Getting Started

• Installation guide
  • Stable
  • Development
  • Dependencies
• ArviZ Quickstart
  • ArviZ style sheets
  • Get started with plotting
  • ArviZ rcParams
  • Plotting with PyStan objects
• Introduction to xarray, InferenceData, and netCDF for ArviZ
  • Why more than one data structure?
  • Why not Pandas Dataframes or NumPy Arrays?
  • An introduction to each
  • NetCDF
• Additional Reading
  • xarray
  • NetCDF
• Creating InferenceData
  • From 1D numpy array
  • From nD numpy array
  • From a dictionary
  • From dictionary with coords and dims
  • From Dataframe
  • From PyMC3
  • From PyStan
  • From Pyro
  • From emcee
  • From CmdStanPy
  • From CmdStan
  • From NumPyro
  • From PyJAGS
• Working with InferenceData
  • Combine chains and draws
  • Obtain a NumPy array for a given parameter
  • Get the number of variables
  • Get the variables’ names
  • Get a subset of chains
  • Remove the first n draws (burn-in)
  • Compute posterior mean values along draw and chains dimensions

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ArviZ: Exploratory analysis of Bayesian models

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Installation guide