repl_python | R Documentation |
This function provides a Python REPL in the R session, which can be used to interactively run Python code. All code executed within the REPL is run within the Python main module, and any generated Python objects will persist in the Python session after the REPL is detached.
repl_python(
module = NULL,
quiet = getOption("reticulate.repl.quiet", default = FALSE),
input = NULL
)
module |
An (optional) Python module to be imported before the REPL is launched. |
quiet |
Boolean; print a startup banner when launching the REPL? If
|
input |
Python code to be run within the REPL. Setting this can be useful if you'd like to drive the Python REPL programmatically. |
When working with R and Python scripts interactively, one can activate
the Python REPL with repl_python()
, run Python code, and later run exit
to return to the R console.
A handful of magics are supported in repl_python()
:
Lines prefixed with !
are executed as system commands:
!cmd --arg1 --arg2
: Execute arbitrary system commands
Magics start with a %
prefix. Supported magics include:
%conda ...
executes a conda command in the active conda environment
%pip ...
executes pip for the active python.
%load
, %loadpy
, %run
executes a python file.
%system
, !!
executes a system command and capture output
%env
: read current environment variables.
%env name
: read environment variable 'name'.
%env name=val
, %env name val
: set environment variable 'name' to 'val'.
val
elements in {}
are interpolated using f-strings (required Python >= 3.6).
%cd <dir>
change working directory.
%cd -
: change to previous working directory (as set by %cd
).
%cd -3
: change to 3rd most recent working directory (as set by %cd
).
%cd -foo/bar
: change to most recent working directory matching "foo/bar"
regex
(in history of directories set via %cd
).
%pwd
: print current working directory.
%dhist
: print working directory history.
Additionally, the output of system commands can be captured in a variable, e.g.:
x = !ls
where x
will be a list of strings, consisting of
stdout output split in "\n"
(stderr is not captured).
# enter the Python REPL, create a dictionary, and exit repl_python() dictionary = {'alpha': 1, 'beta': 2} exit # access the created dictionary from R py$dictionary # $alpha # [1] 1 # # $beta # [1] 2
py, for accessing objects created using the Python REPL.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.