如何将python中产生的多重字符串转换为R对象？

Question

我使用reticulate包在R代码中集成了一个python函数，python中的原始输出是multilestring。 Rstudio中的输出类别为：

> class(result)
[1] "centerline.geometry.Centerline"                   "shapely.geometry.multilinestring.MultiLineString"
[3] "shapely.geometry.base.BaseMultipartGeometry"      "shapely.geometry.base.BaseGeometry"              
[5] "python.builtin.object"

> typeof(result)
[1] "environment"

Rstudio中的输出：

> result
MULTILINESTRING ((188.84310143 -25.44115933212567, 189.0883871453183 -25.39224242194983),
(189.34310143 -25.40412148482432, 189.0883871453183 -25.39224242194983))

我是python新手，有没有办法用python或R传输输出，这样我就可以用它来制作Spatiallines或SF对象

Answer 1

#output of python function in R 
> class(result)
[1] "centerline.geometry.Centerline"                   "shapely.geometry.multilinestring.MultiLineString"
[3] "shapely.geometry.base.BaseMultipartGeometry"      "shapely.geometry.base.BaseGeometry"              
[5] "python.builtin.object"

> typeof(result)
[1] "environment"

#Convert from Python to R object 
processed <- reticulate::py_to_r(result)

#change type from environment to character 
result_2<-type.convert(processed,as.is = TRUE)

#read WKT and construct SpatialLines
x<-readWKT(result_2)


> x
class       : SpatialLines 
features    : 1 
extent      : 187.6103, 191.6382, -25.8519, -24.55464  (xmin, xmax, ymin, ymax)
crs         : NA