是否可以通过网状结构动态更改conda环境？
use_condaenv(condaenv='env1', conda='/path/to/conda')
package1 = import('pack1')
package1$do_smth
use_condaenv(condaenv='env2', conda='/path/to/conda')
package2 = import('pack2')
package2$do_smth2
当前，我在这里收到导入错误：
package2 = import('pack2')
ModuleNotFoundError：没有名为pack2的模块
答案 0 :(得分：1)
您正面临问题，因为reticulate不能在单个R会话中不能更改python解释器。您得到ModuleNotFoundError: No module named pack2的原因是reticulate仍在使用env1，而pack2没有use_condaenv(condaenv='env1', conda='/path/to/conda')
use_condaenv(condaenv='env2', conda='/path/to/conda', required = TRUE) # should throw an error
。尝试：
callr作为解决方法，您可以使用library(callr)
# change variables accordindly:
venv <- "env2" # env1 or env2
# (optional) a python script containing a function which you would like to run from R
python_script_path <- "some_python_script.py"
# (optional)
some_other_parameter <- "foobar"
result <- r(function(venv, python_script_path, some_other_parameter){
library(reticulate)
use_condaenv(venv, conda='/path/to/conda', required = T)
# try to import package
package = import('pack2') # pack1 or pack2
return(package$do_smth())
# (oprional) or even to source a python script
# source_python(python_script_path)
# run a python function which is sourced from `python_script_path`
# result <- run_calculations(some_other_parameter)
# return(result)
}, args = list(venv, python_script_path, some_other_parameter))
包来运行python代码，就像在独立的R会话中运行一样：
env1您应该能够在单个会话中为pack1的{{1}}和env2的{{1}}运行此代码。
注意：匿名函数将具有它自己的环境，为了从全局环境访问变量，您需要将它们作为参数传递给函数（尽管您可能可以传递全局环境本身，但是我没有尝试）。