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  • Getting Started
  • Example Gallery
  • User Guide
  • API
  • Community
  • Contributing
  • The ArviZ project
  • GitHub
  • Twitter
  • Mastodon

Section Navigation

  • Plotting
    • Plots’ arguments guide
    • Plotting with Matplotlib
    • Plotting with Bokeh
  • Data structures
    • Label guide
    • InferenceData schema specification
      • PyMC3 example
      • PyStan example
  • Computation
    • Numba - an overview
    • Dask for ArviZ
  • Sampling wrappers
    • Refitting CmdStanPy models with ArviZ
    • Refitting PyStan (3.0+) models with ArviZ
    • Refitting PyMC models with ArviZ
    • Refitting NumPyro models with ArviZ
    • Refitting NumPyro models with ArviZ (and xarray)
  • User Guide
  • Plotting

Plotting#

ArviZ provides multiple plotting functions for different functionalities. You can browse all the functions in the plot module by name or by example output image.

The pages in this section will cover common functionality between several plotting functions in tutorial and how-to guide format.

  • Plots’ arguments guide
    • var_names
    • filter_vars
    • coords
    • combined
    • combine_dims
    • hdi_prob
    • grid
    • figsize
    • textsize
    • color or colors
    • rope
    • legend
    • ax
    • backend
    • backend_kwargs
    • show
  • Plotting with Matplotlib
    • Customizing plots
      • Using backend_kwargs
      • The parameter show
      • Defining custom axes
      • Extending ArviZ-Matplotlib plots
  • Plotting with Bokeh
    • Customizing plots
      • Using backend_kwargs
      • The parameter show
      • Defining custom axes
      • Extending ArviZ-Bokeh plots
    • Bokeh with Jupyter
    • Server mode

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Plots’ arguments guide

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