Python:如何使用Rpy2从R导入arules包

Question

我试图在R中使用python，特别是使用read.transactions函数，这是R (arules)中的一个包中的一个。

我做了以下步骤

1-开放Anaconda和午餐R演播室

在R工作室

2- install.packages('arules'，dep = TRUE) 3- loadNamespace('arules')

4- .libPaths()

得到

[1] "D:/Anaconda3/Lib/site-packages/rpy2/R/win-library/3.4"
[2] "C:/Program Files/R/R-3.4.4/library" 

现在我去看朱皮特笔记本

朱庇特笔记本

import rpy2
import rpy2.robjects as RObjects
from rpy2.robjects.packages import importr
utils = importr("utils")


d = {'print.me': 'print_dot_me', 'print_me': 'print_uscore_me'}
try:
    arules = importr('arules', robject_translations = d, lib_loc = "D:/Anaconda3/Lib/site-packages/rpy2/R/win-library/3.4")
except:
    arules = importr('arules', robject_translations = d, lib_loc = "C:/Program Files/R/R-3.4.4/library")

结果是

---------------------------------------------------------------------------
RRuntimeError                             Traceback (most recent call last)
<ipython-input-3-5df30d28440c> in <module>()
      3 try:
----> 4     arules = importr('arules', robject_translations = d, lib_loc = "D:/Anaconda3/Lib/site-packages/rpy2/R/win-library/3.4")
      5 except:

~\Anaconda3\lib\site-packages\rpy2\robjects\packages.py in importr(name, lib_loc, robject_translations, signature_translation, suppress_messages, on_conflict, symbol_r2python, symbol_check_after, data)
    452                               _system_file(package = rname)):
--> 453         env = _get_namespace(rname)
    454         version = _get_namespace_version(rname)[0]

RRuntimeError: Error in loadNamespace(name) : there is no package called 'arules'


During handling of the above exception, another exception occurred:

RRuntimeError                             Traceback (most recent call last)
<ipython-input-3-5df30d28440c> in <module>()
      4     arules = importr('arules', robject_translations = d, lib_loc = "D:/Anaconda3/Lib/site-packages/rpy2/R/win-library/3.4")
      5 except:
----> 6     arules = importr('arules', robject_translations = d, lib_loc = "C:/Program Files/R/R-3.4.4/library")
      7 

~\Anaconda3\lib\site-packages\rpy2\robjects\packages.py in importr(name, lib_loc, robject_translations, signature_translation, suppress_messages, on_conflict, symbol_r2python, symbol_check_after, data)
    451     if _package_has_namespace(rname, 
    452                               _system_file(package = rname)):
--> 453         env = _get_namespace(rname)
    454         version = _get_namespace_version(rname)[0]
    455         exported_names = set(_get_namespace_exports(rname))

RRuntimeError: Error in loadNamespace(name) : there is no package called 'arules'

无法将R包导入Python的

我对DirichletReg也做了同样的事情，而且很成功。我不知道为什么。

有人能帮我吗？

Answer 1

到最后一个发现，在python中没有类似的东西，但是，有一种方法可以使用read.transactions。

groceries <- read.transactions("groceries.csv", sep = ",")
> summary(groceries)
transactions as itemMatrix in sparse format with
9835 rows (elements/itemsets/transactions) and
169 columns (items) and a density of 0.02609146

Python木星笔记本

1)将数据输入为

import requests
url = 'https://raw.githubusercontent.com/stedy/Machine-Learning-with-R-datasets/master/groceries.csv'
grocery_dataset = requests.get(url)
# Save string as txt file
f = open('grocery_dataset.txt','w')
f.write(grocery_dataset.text)
f.close()

2)将数据分开，按您的意愿进行调整。

import csv
grocery_items = set()
with open("grocery_dataset.txt") as f:
    reader = csv.reader(f, delimiter=",")
    for i, line in enumerate(reader):
        grocery_items.update(line)
output_list = list()
with open("grocery_dataset.txt") as f:
    reader = csv.reader(f, delimiter=",")
    for i, line in enumerate(reader):
        row_val = {item:0 for item in grocery_items}
        row_val.update({item:1 for item in line})
        output_list.append(row_val)

4)将其保存为python中的Dataframe

import pandas as pd
grocery_df = pd.DataFrame(output_list)

因此

grocery_df.shape

会给

(9835, 169)

表示R中summary(groceries)的行和列的

Answer 2

importr查找已安装的R包的R_HOME目录。我猜想，arules包没有添加到R_HOME的库文件夹中，而是添加到其他位置，比如'C:\Users\User_name\Documents\R\win-library\3.x.x‘，这可能会导致问题。

如果是这样的话，从该特定位置复制arules文件夹并添加到R_HOME目录的库文件夹中。试试这种方法，看看你是否能从问题中解脱出来。