我正在尝试在R中使用带有一些不错函数的python。特别是我想使用在R（arules）中的一个包中找到的read.transactions函数
我做了以下步骤
1-打开Anaconda和午餐R工作室
2- install.packages（'arules'，dep = TRUE） 3- loadNamespace（'arules'）
4- .libPaths（）
得到了
[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jupyter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
我对DirichletReg做了同样的事情并且成功了。我不知道为什么。
任何人都可以帮我吗？
答案 0 :(得分：1)
importr在R_HOME目录中查找已安装的R软件包。我认为，rules包未添加到R_HOME的库文件夹中，而是被添加到其他位置，例如“ C：\ Users \ User_name \ Documents \ R \ win-library \ 3.xx”，这可能是导致此问题的原因
在这种情况下，请从该特定位置复制arules文件夹，然后将其添加到R_HOME目录的库文件夹中。尝试这种方法，看看您是否能够解决问题。
答案 1 :(得分：0)
现在到最后一个发现，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
1）将数据导入为
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）分离数据并根据需要进行调整
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
将给出
(9835, 169)
表示R
中summary(groceries)的行和列的行