Installation guide¶
This section provides detailed information about installing ArviZ. Most ArviZ functionality is available with the basic requirements, but ArviZ also has optional dependencies to further enhance the library. This guide will cover both basic and fully-fledged ArviZ installs and several installation methods.
Stable¶
ArviZ can be installed either using pip or conda-forge.
Using pip¶
pip install arviz
Use the below pip command to install ArviZ with all of its Optional dependencies.
pip install "arviz[all]"
Using conda-forge¶
conda install -c conda-forge arviz
Development¶
If you want to install the latest development version of ArviZ, use the following command:
pip install git+https://github.com/arviz-devs/arviz
Note: It can take sometime to execute depending upon your internet connection.
Dependencies¶
Required dependencies¶
The required dependencies for installing ArviZ are:
setuptools>=38.4
matplotlib>=3.0
numpy>=1.12
scipy>=0.19
packaging
pandas>=0.23
xarray>=0.16.1
netcdf4
typing_extensions>=3.7.4.3
and
python>=3.6
Optional dependencies¶
The list of optional dependencies to further enhance ArviZ is given below.
numba
bokeh>=1.4.0,<3.0
ujson
dask[distributed]
zarr>=2.5.0
Numba
Necessary to speed up the code computation. The installation details can be found here. Further details on enhanced functionality provided in ArviZ by Numba can be found here.
Bokeh
Necessary for creating advanced interactive visualisations. The Bokeh installation guide can be found over here.
UltraJSON
If available, ArviZ makes use of faster ujson when
arviz.from_json()is invoked. UltraJSON can be either installed via pip or conda.Dask
Necessary to scale the packages and the surrounding ecosystem. The installation details can be found at this link.