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Create python virtual environment and dependencies in conda or virtualenv environment

Source: R/install_python_dependencies.R
create_python_venv.Rd

Modified from the spacyr::spacy_install() function: https://github.com/quanteda/spacyr/blob/master/R/spacy_install.R

Usage

create_python_venv(ask = interactive(), force = FALSE)

Arguments

ask

logical; ask whether to proceed during the installation. By default, questions are only asked in interactive sessions.

force

ignore if the dependencies are already present and install it anyway.

Details

The dependencies are python, some base python packages (copy, random, collections), numpy, scipy, and pandas.

The function checks whether a suitable installation of Python is present on the system and installs one via reticulate::install_python() otherwise. It then creates a virtual environment with the necessary packages in the default location chosen by reticulate::virtualenv_root().

If you want to install a different version of Python than the default, you should call reticulate::install_python() directly. If you want to create or use a different virtual environment, you can use, e.g., Sys.setenv(WAVESS_PYTHON = "path/to/directory"). If you want to install a different version of a particular package, then use, e.g. reticulate::virtualenv_install(packages = c("numpy==VERSION_NUM")) instead.

Examples

if (FALSE) { # \dontrun{
# install dependencies
create_python_venv()

# update dependencies
create_python_venv(force = TRUE)
} # }