conda-tools | R Documentation |
Tools for managing Python conda
environments.
conda_list(conda = "auto")
conda_create(
envname = NULL,
packages = NULL,
...,
forge = TRUE,
channel = character(),
environment = NULL,
conda = "auto",
python_version = miniconda_python_version(),
additional_create_args = character()
)
conda_clone(envname, ..., clone = "base", conda = "auto")
conda_export(
envname,
file = if (json) "environment.json" else "environment.yml",
json = FALSE,
...,
conda = "auto"
)
conda_remove(envname, packages = NULL, conda = "auto")
conda_install(
envname = NULL,
packages,
forge = TRUE,
channel = character(),
pip = FALSE,
pip_options = character(),
pip_ignore_installed = FALSE,
conda = "auto",
python_version = NULL,
additional_create_args = character(),
additional_install_args = character(),
...
)
conda_binary(conda = "auto")
conda_exe(conda = "auto")
conda_version(conda = "auto")
conda_update(conda = "auto")
conda_python(envname = NULL, conda = "auto", all = FALSE)
conda_search(
matchspec,
forge = TRUE,
channel = character(),
conda = "auto",
...
)
condaenv_exists(envname = NULL, conda = "auto")
conda |
The path to a |
envname |
The name of, or path to, a conda environment. |
packages |
A character vector, indicating package names which should be
installed or removed. Use |
... |
Optional arguments, reserved for future expansion. |
forge |
Boolean; include the conda-forge repository? |
channel |
An optional character vector of conda channels to include.
When specified, the |
environment |
The path to an environment definition, generated via
(for example) |
python_version |
The version of Python to be installed. Set this if you'd like to change the version of Python associated with a particular conda environment. |
additional_create_args |
An optional character vector of additional
arguments to use in the call to |
clone |
The name of the conda environment to be cloned. |
file |
The path where the conda environment definition will be written. |
json |
Boolean; should the environment definition be written as JSON? By default, conda exports environments as YAML. |
pip |
Boolean; use |
pip_options |
An optional character vector of additional command line
arguments to be passed to |
pip_ignore_installed |
Ignore already-installed versions when using pip?
(defaults to |
additional_install_args |
An optional character vector of additional
arguments to use in the call to |
all |
Boolean; report all instances of Python found? |
matchspec |
A conda MatchSpec query string. |
conda_list()
returns an R data.frame
, with name
giving the name of
the associated environment, and python
giving the path to the Python
binary associated with that environment.
conda_create()
returns the path to the Python binary associated with the
newly-created conda environment.
conda_clone()
returns the path to Python within the newly-created
conda environment.
conda_export()
returns the path to the exported environment definition,
invisibly.
conda_search()
returns an R data.frame
describing packages that
matched against matchspec
. The data frame will usually include
fields name
giving the package name, version
giving the package
version, build
giving the package build, and channel
giving the
channel the package is hosted on.
Most of reticulate
's conda APIs accept a conda
parameter, used to control
the conda
binary used in their operation. When conda = "auto"
,
reticulate
will attempt to automatically find a conda installation.
The following locations are searched, in order:
The location specified by the reticulate.conda_binary
R option,
The location specified by the RETICULATE_CONDA
environment variable,
The miniconda_path()
location (if it exists),
The program PATH
,
A set of pre-defined locations where conda is typically installed.
To force reticulate
to use a particular conda
binary, we recommend
setting:
options(reticulate.conda_binary = "/path/to/conda")
This can be useful if your conda installation lives in a location that
reticulate
is unable to automatically discover.
conda_run2()
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