Question

我想在R中使用以下Python脚本：

> library(bfast)
> apple <- read.csv("/Users/nskalis/Downloads/R/apple.csv", sep = ";", header=TRUE)
> data = apple
# data$in_bps: is vector of double numbers
> data.ts <- ts(data$in_bps, frequency=1)
> data.fit <- bfast(data.ts, h=0.1, season="none", max.iter=1)
> data.fit$output[[1]]$Tt
> data.fit$output[[1]]$Vt.bp
> data.fit$output[[1]]$ci.Vt
> data.fit$output[[1]]$ci.Vt$confint

因此我正在使用rpy2并且我已完成以下操作：

from rpy2.robjects.packages import importr
import rpy2.robjects as robjects
importr("bfast")
data = range(1,100)
data = robjects.FloatVector(data)
data = robjects.r.ts(data, frequency=1)
x = robjects.r.bfast(data, h=0.1, season="none", max_iter=1)

结果变量x等于

In [42]: x
Out[42]: 
R object with classes: ('bfast',) mapped to:
<ListVector - Python:0x7f234f7ad6c8 / R:0x76a2d60>
[Float..., ListV..., ListV..., ..., Float..., BoolV..., ListV...]
  Yt: <class 'rpy2.robjects.vectors.FloatVector'>
  R object with classes: ('ts',) mapped to:
<FloatVector - Python:0x7f234fd22dc8 / R:0x7605740>
[1.000000, 2.000000, 3.000000, ..., 97.000000, 98.000000, 99.000000]
R object with classes: ('bfast',) mapped to:
<ListVector - Python:0x7f234f7ad6c8 / R:0x76a2d60>
[Float..., ListV..., ListV..., ..., Float..., BoolV..., ListV...]
R object with classes: ('bfast',) mapped to:
<ListVector - Python:0x7f234f7ad6c8 / R:0x76a2d60>
[Float..., ListV..., ListV..., ..., Float..., BoolV..., ListV...]
  ...
  Yt: <class 'rpy2.robjects.vectors.FloatVector'>
  R object with classes: ('numeric',) mapped to:
<FloatVector - Python:0x7f234c053388 / R:0x586b668>
[0.000000]
  output: <class 'rpy2.robjects.vectors.BoolVector'>
  R object with classes: ('logical',) mapped to:
<BoolVector - Python:0x7f234c04eac8 / R:0x57ee518>
[NA]
R object with classes: ('bfast',) mapped to:
<ListVector - Python:0x7f234f7ad6c8 / R:0x76a2d60>
[Float..., ListV..., ListV..., ..., Float..., BoolV..., ListV...]

您能否告知如何获取变量data.fit$output[[1]]$Vt.bp？

PS：这是我第一次rpy2，所以如果我做错了，请随时告诉我。

Answer 1

如图所示，bfast方法显然返回具有深层数据项的嵌套对象。此外，返回的Python对象是具有嵌套的未命名元素的外部类<class 'rpy2.robjects. vectors.ListVector'>。

作为通过整数位置挖掘Python对象的替代方法，请考虑使用匿名包导入工具STAP导入用户定义的R函数，该工具允许您保留R代码并特别返回变量要求使用R的命名元素命名法：

from rpy2.robjects.packages import STAP

r_fct_string ='''   
bfast_out <- function(path){
    data <- read.csv(path, sep = ";", header=TRUE)

    data.ts <- ts(data$in_bps, frequency=1)
    data.fit <- bfast(data.ts, h=0.1, season="none", max.iter=1)

    data.fit$output[[1]]$Vt.bp    
}
'''

r_pkg = STAP(r_fct_string, "r_pkg")

Vt_bp = r_pkg.bfast_out("/Users/nskalis/Downloads/R/apple.csv")

print(Vt_bp)

rpy2：如何通过调用R函数获取返回值

1 个答案: