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那个网站有用director做的片头,东丰网站建设,十种营销方式,在门户网站做推广reticulate | R-python安装及配置 | conda文件配置 1. 基础知识2. 安装reticulate from CRAN3. 包含了用于Python和R之间协同操作的全套工具#xff0c;在R和Rstudio中均可使用4. 配置python环境4.1 4种环境配置方式4.2 miniconda 环境install_miniconda()报错一install_minic… reticulate | R-python安装及配置 | conda文件配置 1. 基础知识2. 安装reticulate from CRAN3. 包含了用于Python和R之间协同操作的全套工具在R和Rstudio中均可使用4. 配置python环境4.1 4种环境配置方式4.2 miniconda 环境install_miniconda()报错一install_miniconda()报错二 5. 在R中调用python模块-示例5.1 调用os模块的listdir()函数5.2 调用seaborn模块的load_dataset()函数 6. 在 R 中安装 python 模块6.1 安装seaborn绘图库ProxyError解决方法及conda文件配置本地代理地址查看方法R中python包无法加载调用的解决方法 6.2 在创建环境中安装“numpy”包 7. 重装miniconda后调试7.1 R安装python包rdkit7.2 R安装python包pytorch7.3 R安装python包seaborn7.4 R-python调用 8. 总结 1. 基础知识 1.1 smiles编码具有唯一性每个SMILES编码对应唯一一个化学结构 1.2 同一种格式的smiles编码的形式可以用不同的方式表示起始原子序号不同多种表达形式可根据此特点来对数据进行数据增强但在数据清洗筛选的过程中会造成错误和麻烦假如你从不同的数据库爬取了多条信息可能出现同一个分子用多个smiles编码表示的情形分子生成时也会出现类似状况现象为避免这种状况需要我们对分子的smiles编码进行统一化标准化 2. 安装reticulate from CRAN install.packages(“reticulate”) 3. 包含了用于Python和R之间协同操作的全套工具在R和Rstudio中均可使用 library(reticulate) 4. 配置python环境 4.1 4种环境配置方式 use_python(“/usr/local/bin/python”) Error in use_python(“/usr/local/bin/python”) : Specified version of python ‘/usr/local/bin/python’ does not exist. use_python(“D:/Program Files/Python312”) #1. 直接指定使用python版本的执行程序 conda_version() #查看conda版本 use_condaenv() # 2.指定Python conda环境 use_virtualenv() # 3.指定Python虚拟环境 use_miniconda() # 4.指定Python miniconda环境 py_config() # 查看配置的环境 python: D:/Program Files/Python312/python.exe libpython: D:/Program Files/Python312/python312.dll pythonhome: D:/Program Files/Python312 version: 3.12.0 (tags/v3.12.0:0fb18b0, Oct 2 2023, 13:03:39) [MSC v.1935 64 bit (AMD64)] Architecture: 64bit numpy: [NOT FOUND] NOTE: Python version was forced by use_python() function 4.2 miniconda 环境 可通过以下代码安装 miniconda 环境便可在 R 中执行 Python辅助配置 Python 环境。 install_miniconda() # 安装miniconda环境 报错一Error: Error creating conda environment ‘r-reticulate’ [exit code 1] install_miniconda()报错一 在RStudio中配置miniconda环境报错提示未创建conda环境但运行以下代码后再次配置miniconda环境显示正常奇奇怪怪所以很多时候多尝试一下总能行。 在R中调用Python中安装reticulate包出现的环境设置错误 py_available() [1] TRUE conda_version() #查看conda版本 [1] “conda 23.9.0” repl_python() #启动 Python 3.12.0 (D:/Program Files/Python312/python.exe) Reticulate 1.34.0 REPL – A Python interpreter in R. Enter ‘exit’ or ‘quit’ to exit the REPL and return to R. exit install_miniconda() # 安装miniconda环境 Error: Miniconda is already installed at path “C:/Users/hp/AppData/Local/r-miniconda”. Use reticulate::install_miniconda(force TRUE) to overwrite the previous installation. miniconda_path() # 显示miniconda安装地址 [1] “C:/Users/hp/AppData/Local/r-miniconda” miniconda_update() # 更新miniconda环境 failed ProxyError: Conda cannot proceed due to an error in your proxy configuration. Check for typos and other configuration errors in any ‘.netrc’ file in your home directory, any environment variables ending in ‘_PROXY’, and any other system-wide proxy configuration settings. install_miniconda()报错二 第5节及第6节调用numpy等包的时候一直报错无法在R中调用在CMD命令行中运行以下代码未解决并且导致后续miniconda运行代码一直报错故卸载miniconda进行重装。 而利用install_miniconda()安装时也遇到过以下问题参照R-install_miniconda()卸载 | conda命令行报错及解决方法 报错二* Installing Miniconda – please wait a moment …* Downloading “https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe” … trying URL ‘https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe’ Warning: URL ‘https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe’: status was Couldn’t resolve host name’Error in download.file(url, destfile installer, mode “wb”) : cannot open URL ‘https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe’ 解决方法参照上述方法卸载已安装的miniconda关掉代理之后再次运行该代码进行重新安装。 install_miniconda() # 安装miniconda环境

• Installing Miniconda – please wait a moment …
• Downloading https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe … trying URL https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe Content type application/octet-stream length 77445248 bytes (73.9 MB) downloaded 73.9 MB C:/Users/hp/AppData/Local/r-miniconda/condabin/conda.bat update –yes –name base conda Collecting package metadata (current_repodata.json): …working… done Solving environment: …working… done## Package Plan ##environment location: C:\Users\hp\AppData\Local\R-MINI1added / updated specs:- condaThe following packages will be downloaded:package | build—————————|—————–archspec-0.2.1 | pyhd3eb1b0_0 39 KBbrotli-python-1.0.9 | py311hd77b12b_7 310 KBconda-23.10.0 | py311haa95532_0 1.2 MBconda-libmamba-solver-23.11.0| py311haa95532_0 103 KBlibmamba-1.5.3 | hcd6fe79_0 3.8 MBlibmambapy-1.5.3 | py311h77c03ed_0 323 KBopenssl-3.0.12 | h2bbff1b_0 7.4 MBurllib3-1.26.18 | py311haa95532_0 252 KByaml-cpp-0.8.0 | hd77b12b_0 2.0 MB————————————————————Total: 15.5 MBThe following NEW packages will be INSTALLED:archspec pkgs/main/noarch::archspec-0.2.1-pyhd3eb1b0_0 brotli-python pkgs/main/win-64::brotli-python-1.0.9-py311hd77b12b_7 The following packages will be REMOVED:brotlipy-0.7.0-py311h2bbff1b_1002The following packages will be UPDATED:conda 23.9.0-py311haa95532_0 – 23.10.0-py311haa95532_0 conda-libmamba-so 23.9.1-py311haa95532_0 – 23.11.0-py311haa95532_0 libmamba 1.5.1-hcd6fe79_0 – 1.5.3-hcd6fe79_0 libmambapy 1.5.1-py311h77c03ed_0 – 1.5.3-py311h77c03ed_0 openssl 3.0.11-h2bbff1b_2 – 3.0.12-h2bbff1b_0 urllib3 1.26.16-py311haa95532_0 – 1.26.18-py311haa95532_0 yaml-cpp 0.7.0-hd77b12b_1 – 0.8.0-hd77b12b_0 Downloading and Extracting Packages: …working… done Preparing transaction: …working… done Verifying transaction: …working… done Executing transaction: …working… doneC:/Users/hp/AppData/Local/r-miniconda/condabin/conda.bat create –yes –name r-reticulate python3.9 numpy –quiet -c conda-forge Channels:- conda-forge- defaults Platform: win-64 Collecting package metadata (repodata.json): …working… done Solving environment: …working… done## Package Plan ##environment location: C:\Users\hp\AppData\Local\R-MINI~1\envs\r-reticulateadded / updated specs:- numpy- python3.9The following packages will be downloaded:package | build—————————|—————–bzip2-1.0.8 | hcfcfb64_5 122 KB conda-forgeca-certificates-2023.7.22 | h56e8100_0 146 KB conda-forgeintel-openmp-2023.2.0 | h57928b3_50497 2.4 MB conda-forgelibblas-3.9.0 | 19_win64_mkl 4.8 MB conda-forgelibcblas-3.9.0 | 19_win64_mkl 4.8 MB conda-forgelibffi-3.4.2 | h8ffe710_5 41 KB conda-forgelibhwloc-2.9.3 |default_haede6df_1009 2.5 MB conda-forgelibiconv-1.17 | h8ffe710_0 698 KB conda-forgeliblapack-3.9.0 | 19_win64_mkl 4.8 MB conda-forgelibsqlite-3.44.0 | hcfcfb64_0 833 KB conda-forgelibxml2-2.11.5 | hc3477c8_1 1.5 MB conda-forgelibzlib-1.2.13 | hcfcfb64_5 54 KB conda-forgemkl-2023.2.0 | h6a75c08_50496 138.0 MB conda-forgenumpy-1.26.0 | py39hddb5d58_0 5.7 MB conda-forgeopenssl-3.1.4 | hcfcfb64_0 7.1 MB conda-forgepip-23.3.1 | pyhd8ed1ab_0 1.3 MB conda-forgepthreads-win32-2.9.1 | hfa6e2cd_3 141 KB conda-forgepython-3.9.18 |h4de0772_0_cpython 16.1 MB conda-forgepython_abi-3.9 | 4_cp39 7 KB conda-forgesetuptools-68.2.2 | pyhd8ed1ab_0 454 KB conda-forgetbb-2021.10.0 | h91493d7_2 153 KB conda-forgetk-8.6.13 | h5226925_1 3.3 MB conda-forgetzdata-2023c | h71feb2d_0 115 KB conda-forgeucrt-10.0.22621.0 | h57928b3_0 1.2 MB conda-forgevc-14.3 | h64f974e_17 17 KB conda-forgevc14_runtime-14.36.32532 | hdcecf7f_17 722 KB conda-forgevs2015_runtime-14.36.32532 | h05e6639_17 17 KB conda-forgewheel-0.41.3 | pyhd8ed1ab_0 57 KB conda-forgexz-5.2.6 | h8d14728_0 213 KB conda-forge————————————————————Total: 197.1 MBThe following NEW packages will be INSTALLED:bzip2 conda-forge/win-64::bzip2-1.0.8-hcfcfb64_5 ca-certificates conda-forge/win-64::ca-certificates-2023.7.22-h56e8100_0 intel-openmp conda-forge/win-64::intel-openmp-2023.2.0-h57928b3_50497 libblas conda-forge/win-64::libblas-3.9.0-19_win64_mkl libcblas conda-forge/win-64::libcblas-3.9.0-19_win64_mkl libffi conda-forge/win-64::libffi-3.4.2-h8ffe710_5 libhwloc conda-forge/win-64::libhwloc-2.9.3-default_haede6df_1009 libiconv conda-forge/win-64::libiconv-1.17-h8ffe710_0 liblapack conda-forge/win-64::liblapack-3.9.0-19_win64_mkl libsqlite conda-forge/win-64::libsqlite-3.44.0-hcfcfb64_0 libxml2 conda-forge/win-64::libxml2-2.11.5-hc3477c8_1 libzlib conda-forge/win-64::libzlib-1.2.13-hcfcfb64_5 mkl conda-forge/win-64::mkl-2023.2.0-h6a75c08_50496 numpy conda-forge/win-64::numpy-1.26.0-py39hddb5d58_0 openssl conda-forge/win-64::openssl-3.1.4-hcfcfb64_0 pip conda-forge/noarch::pip-23.3.1-pyhd8ed1ab_0 pthreads-win32 conda-forge/win-64::pthreads-win32-2.9.1-hfa6e2cd_3 python conda-forge/win-64::python-3.9.18-h4de0772_0_cpython python_abi conda-forge/win-64::python_abi-3.9-4_cp39 setuptools conda-forge/noarch::setuptools-68.2.2-pyhd8ed1ab_0 tbb conda-forge/win-64::tbb-2021.10.0-h91493d7_2 tk conda-forge/win-64::tk-8.6.13-h5226925_1 tzdata conda-forge/noarch::tzdata-2023c-h71feb2d_0 ucrt conda-forge/win-64::ucrt-10.0.22621.0-h57928b3_0 vc conda-forge/win-64::vc-14.3-h64f974e_17 vc14_runtime conda-forge/win-64::vc14_runtime-14.36.32532-hdcecf7f_17 vs2015_runtime conda-forge/win-64::vs2015_runtime-14.36.32532-h05e6639_17 wheel conda-forge/noarch::wheel-0.41.3-pyhd8ed1ab_0 xz conda-forge/win-64::xz-5.2.6-h8d14728_0 Preparing transaction: …working… done Verifying transaction: …working… done Executing transaction: …working… done
• Miniconda has been successfully installed at C:/Users/hp/AppData/Local/r-miniconda. [1] C:/Users/hp/AppData/Local/r-miniconda并且在R中利用py_config()查看python配置环境时发现numpy包也不像4.1 4种环境配置方式中一样显示为 [NOT FOUND]此处成功在R中调用numpy包。 利用miniconda_update()也可以正常运行不像4.1 4种环境配置方式中显示ProxyError报错 failed ProxyError: Conda cannot proceed due to an error in your proxy configuration.以上安装Miniconda与 6. 在 R 中安装 python 模块中安装python包报错问题类似可参考。 【总结报错问题-第5节及第6节报错问题也在此步之后解决】 卸载重装Miniconda在 install_miniconda()报错二这一部分中运行代码时全程关闭代理提前更新了hosts文件。

1. 在R中调用python模块-示例 5.1 调用os模块的listdir()函数 os - import(“os”) os\(listdir(“./”) 5.2 调用seaborn模块的load_dataset()函数 注需要seaborn模块已安装 sns - import(“seaborn”) Error in py_module_import(module, convert convert) : ModuleNotFoundError: No module named ‘seaborn’ Run reticulate::py_last_error() for details. tips - sns\)load_dataset(“tips”) print(head(tips)) 6. 在 R 中安装 python 模块 6.1 安装seaborn绘图库 pip T指定从pip安装默认从conda安装 py_install(“seaborn”, pip T) “C:/Users/hp/AppData/Local/r-miniconda/condabin/conda.bat” “create” “–yes” “–name” “r-reticulate” “python” “–quiet” “-c” “conda-forge” … … failed ProxyError: Conda cannot proceed due to an error in your proxy configuration. Check for typos and other configuration errors in any ‘.netrc’ file in your home directory, any environment variables ending in ‘_PROXY’, and any other system-wide proxy configuration settings. Error: Error creating conda environment ‘r-reticulate’ [exit code 1] 安装又遇到了上述问题难搞继续解决bug 在R中找不到python和conda miniconda_path() # 显示miniconda安装地址 报错可能的原因 遇到报错ProxyError: Conda cannot proceed due to an error in your proxy configuration ProxyError解决方法及conda文件配置 解决方法 关闭代理重启RStudio再次尝试安装突然就安装成功了。 py_install(“seaborn”, pip T) Conda官网 Conda官网-Using the .condarc conda configuration file conda配置文件修改 保留代理解决conda的ProxyError 解决conda ProxyError问题的一种思路 玩转python运行环境设置-conda配置文件修改 conda配置文件.condarc 不关闭代理仍能解决conda的ProxyError方法 – 在 第4.2节 安装 miniconda成功后在电脑开始菜单栏可以看到 Anaconda Prompt (r-miniconda)终端 – 双击打开后依次输入以下代码修改conda配置文件添加本地代理地址信息 – conda –version查看conda版本 – conda info –envs查看conda环境信息 – conda config –show查看conda的所有默认配置 – conda config –show-sources查看conda的.condarc配置文件位置一般在windowsC:\users\username\linux/home/username/目录下默认情况下是不存在的但在第一次运行conda config后会自动生成该文件.condarc默认是隐藏的需要在查看里面勾选隐藏的项目。也可以下载示例.condarc配置文件放置于用户目录下进行编辑并保存 – conda info查看.condarc配置文件信息包括存储位置 – 运行完成后去 C:\Users(你的名字\username\目录下可看到 .condarc 配置文件可以用文本方式打开 – .condarc配置文件有两种编辑方式1利用conda config –set命令2文本方式打开文件直接进行修改具体参照玩转python运行环境设置-conda配置文件修改conda config或在终端中输入conda config –help查看其具体用法 – 选择第1种方式——终端输入命令进行演示conda config –set show_channel_urls yes该配置项指定了是否在 Conda 命令行输出中显示镜像源URL。运行成功后再次查看 .condarc配置文件发现从空白增加了刚才运行的配置项 – 添加国内镜像源代码为conda config –add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/conda config –add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forgeconda config –add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/以上三行代码在终端中输入并运行 – 添加中科大源代码为conda config –add channels https://mirrors.ustc.edu.cn/anaconda/pkgs/main/conda config –add channels https://mirrors.ustc.edu.cn/anaconda/pkgs/free/conda config –add channels https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge/conda config –add channels https://mirrors.ustc.edu.cn/anaconda/cloud/msys2/conda config –add channels https://mirrors.ustc.edu.cn/anaconda/cloud/bioconda/conda config –add channels https://mirrors.ustc.edu.cn/anaconda/cloud/menpo/以上六行代码在终端中输入并运行 – 笔者本地代理地址查询方法见本地代理地址查看方法为《127.0.0.1:7890》故需要将其配置给Conda才能让 Conda 通过使用的代理连接互联网 – 选择第2种方式——手动修改代理地址从而实现保留代理仍能够使用py_install在RStudio安装python包的目的。直接打开.condarc配置文件输入以下内容并保存 proxy_servers: http: http://127.0.0.1:7890 https: http://127.0.0.1:7890。 以下图片依次对应 Anaconda Prompt (r-miniconda)终端的输入代码及运行结果。
   本地代理地址查看方法 R中python包无法加载调用的解决方法 查看seaborn模块是否已安装 py_module_available(“seaborn”) [1] FALSE 加载rdkit.Chem和rdkit.Chem.rdmolops rdkit - import(“rdkit.Chem”) Error in py_module_import(module, convert convert) : ModuleNotFoundError: No module named ‘rdkit’ Run reticulate::py_last_error() for details. 以上通过R安装python包安装成功却无法调用。 r-studio加载不出python模块pandas Reticulate | 如何在Rstudio中优雅地调用Python 为什么在R和Python之间选择 Using Python in R with reticulate package - Numpy not found reticulate marks numpy as missing in Anaconda installation 已解决ModuleNotFoundError: No module named 解决方法参考链接 python import须知-ModuleNotFuoud检查并添加环境变量 检查python包是否安装成功包无法加载 检查核对miniconda报错问题。 6.2 在创建环境中安装“numpy”包 创建新的工作环境 conda_create(“r-reticulate”) 在conda环境下安装“r-reticulate”和“numpy” conda_install(“r-reticulate”,“numpy”) 注 以上代码可以在 Anaconda Prompt (r-miniconda)终端运行也可以在win r—CMD命令行终端运行。
2. 重装miniconda后调试 基于4.2 miniconda 环境中的install_miniconda()报错二进行重装后在R中运行以下代码进行python包的安装和调用发现都是成功的表明已可以在R中调用python包。 7.1 R安装python包rdkit reticulate::py_install(“rdkit”) “C:/Users/hp/AppData/Local/r-miniconda/condabin/conda.bat” “install” “–yes” “–prefix” “C:/Users/hp/AppData/Local/r-miniconda/envs/r-reticulate” “-c” “conda-forge” “rdkit” Retrieving notices: …working… done Channels: - conda-forge - defaults Platform: win-64 Collecting package metadata (repodata.json): …working… done Solving environment: …working… done ##Package Plan ## environment location: C:\Users\hp\AppData\Local\r-miniconda\envs\r-reticulate added / updated specs: - rdkit The following packages will be downloaded: package | build —————————|—————– brotli-1.1.0 | hcfcfb64_1 19 KB conda-forge brotli-bin-1.1.0 | hcfcfb64_1 20 KB conda-forge cairo-1.18.0 | h1fef639_0 1.4 MB conda-forge certifi-2023.7.22 | pyhd8ed1ab_0 150 KB conda-forge contourpy-1.2.0 | py39h1f6ef14_0 182 KB conda-forge cycler-0.12.1 | pyhd8ed1ab_0 13 KB conda-forge expat-2.5.0 | h63175ca_1 221 KB conda-forge font-ttf-dejavu-sans-mono-2.37| hab24e00_0 388 KB conda-forge font-ttf-inconsolata-3.000 | h77eed37_0 94 KB conda-forge font-ttf-source-code-pro-2.038| h77eed37_0 684 KB conda-forge font-ttf-ubuntu-0.83 | hab24e00_0 1.9 MB conda-forge fontconfig-2.14.2 | hbde0cde_0 186 KB conda-forge fonts-conda-ecosystem-1 | 0 4 KB conda-forge fonts-conda-forge-1 | 0 4 KB conda-forge fonttools-4.44.0 | py39ha55989b_0 1.7 MB conda-forge freetype-2.12.1 | hdaf720e_2 498 KB conda-forge freetype-py-2.3.0 | pyhd8ed1ab_0 58 KB conda-forge gettext-0.21.1 | h5728263_0 5.3 MB conda-forge greenlet-3.0.1 | py39h99910a6_0 188 KB conda-forge icu-73.2 | h63175ca_0 12.8 MB conda-forge importlib-resources-6.1.1 | pyhd8ed1ab_0 9 KB conda-forge importlib_resources-6.1.1 | pyhd8ed1ab_0 29 KB conda-forge kiwisolver-1.4.5 | py39h1f6ef14_1 54 KB conda-forge lcms2-2.15 | h67d730c_3 487 KB conda-forge lerc-4.0.0 | h63175ca_0 190 KB conda-forge libboost-1.82.0 | h65993cd_6 2.3 MB conda-forge libboost-python-1.82.0 | py39h5c3ab46_6 108 KB conda-forge libbrotlicommon-1.1.0 | hcfcfb64_1 69 KB conda-forge libbrotlidec-1.1.0 | hcfcfb64_1 32 KB conda-forge libbrotlienc-1.1.0 | hcfcfb64_1 241 KB conda-forge libdeflate-1.19 | hcfcfb64_0 150 KB conda-forge libexpat-2.5.0 | h63175ca_1 135 KB conda-forge libglib-2.78.1 | he8f3873_0 2.5 MB conda-forge libjpeg-turbo-3.0.0 | hcfcfb64_1 804 KB conda-forge libpng-1.6.39 | h19919ed_0 336 KB conda-forge libtiff-4.6.0 | h6e2ebb7_2 769 KB conda-forge libwebp-base-1.3.2 | hcfcfb64_0 263 KB conda-forge libxcb-1.15 | hcd874cb_0 947 KB conda-forge m2w64-gcc-libgfortran-5.3.0| 6 342 KB conda-forge m2w64-gcc-libs-5.3.0 | 7 520 KB conda-forge m2w64-gcc-libs-core-5.3.0 | 7 214 KB conda-forge m2w64-gmp-6.1.0 | 2 726 KB conda-forge m2w64-libwinpthread-git-5.0.0.4634.697f757| 2 31 KB conda-forge matplotlib-base-3.8.1 | py39hf19769e_0 6.3 MB conda-forge msys2-conda-epoch-20160418 | 1 3 KB conda-forge munkres-1.1.4 | pyh9f0ad1d_0 12 KB conda-forge openjpeg-2.5.0 | h3d672ee_3 231 KB conda-forge packaging-23.2 | pyhd8ed1ab_0 48 KB conda-forge pandas-2.1.3 | py39h32e6231_0 10.7 MB conda-forge pcre2-10.40 | h17e33f8_0 1.9 MB conda-forge pillow-10.1.0 | py39h368b509_0 44.2 MB conda-forge pixman-0.42.2 | h63175ca_0 445 KB conda-forge pthread-stubs-0.4 | hcd874cb_1001 6 KB conda-forge pycairo-1.25.1 | py39h82915f6_0 101 KB conda-forge pyparsing-3.1.1 | pyhd8ed1ab_0 87 KB conda-forge python-dateutil-2.8.2 | pyhd8ed1ab_0 240 KB conda-forge python-tzdata-2023.3 | pyhd8ed1ab_0 140 KB conda-forge pytz-2023.3.post1 | pyhd8ed1ab_0 183 KB conda-forge rdkit-2023.09.2 | py39h4e49fef_0 34.6 MB conda-forge reportlab-4.0.7 | py39ha55989b_0 2.2 MB conda-forge rlpycairo-0.2.0 | pyhd8ed1ab_0 15 KB conda-forge six-1.16.0 | pyh6c4a22f_0 14 KB conda-forge sqlalchemy-2.0.23 | py39ha55989b_0 2.6 MB conda-forge typing-extensions-4.8.0 | hd8ed1ab_0 10 KB conda-forge typing_extensions-4.8.0 | pyha770c72_0 34 KB conda-forge unicodedata2-15.1.0 | py39ha55989b_0 365 KB conda-forge xorg-libxau-1.0.11 | hcd874cb_0 50 KB conda-forge xorg-libxdmcp-1.1.3 | hcd874cb_0 66 KB conda-forge zipp-3.17.0 | pyhd8ed1ab_0 19 KB conda-forge zlib-1.2.13 | hcfcfb64_5 105 KB conda-forge zstd-1.5.5 | h12be248_0 335 KB conda-forge ———————————————————— Total: 141.8 MB The following NEW packages will be INSTALLED: brotli conda-forge/win-64::brotli-1.1.0-hcfcfb64_1 brotli-bin conda-forge/win-64::brotli-bin-1.1.0-hcfcfb64_1 cairo conda-forge/win-64::cairo-1.18.0-h1fef639_0 certifi conda-forge/noarch::certifi-2023.7.22-pyhd8ed1ab_0 contourpy conda-forge/win-64::contourpy-1.2.0-py39h1f6ef14_0 cycler conda-forge/noarch::cycler-0.12.1-pyhd8ed1ab_0 expat conda-forge/win-64::expat-2.5.0-h63175ca_1 font-ttf-dejavu-s~ conda-forge/noarch::font-ttf-dejavu-sans-mono-2.37-hab24e00_0 font-ttf-inconsol~ conda-forge/noarch::font-ttf-inconsolata-3.000-h77eed37_0 font-ttf-source-c~ conda-forge/noarch::font-ttf-source-code-pro-2.038-h77eed37_0 font-ttf-ubuntu conda-forge/noarch::font-ttf-ubuntu-0.83-hab24e00_0 fontconfig conda-forge/win-64::fontconfig-2.14.2-hbde0cde_0 fonts-conda-ecosy~ conda-forge/noarch::fonts-conda-ecosystem-1-0 fonts-conda-forge conda-forge/noarch::fonts-conda-forge-1-0 fonttools conda-forge/win-64::fonttools-4.44.0-py39ha55989b_0 freetype conda-forge/win-64::freetype-2.12.1-hdaf720e_2 freetype-py conda-forge/noarch::freetype-py-2.3.0-pyhd8ed1ab_0 gettext conda-forge/win-64::gettext-0.21.1-h5728263_0 greenlet conda-forge/win-64::greenlet-3.0.1-py39h99910a6_0 icu conda-forge/win-64::icu-73.2-h63175ca_0 importlib-resourc~ conda-forge/noarch::importlib-resources-6.1.1-pyhd8ed1ab_0 importlib_resourc~ conda-forge/noarch::importlib_resources-6.1.1-pyhd8ed1ab_0 kiwisolver conda-forge/win-64::kiwisolver-1.4.5-py39h1f6ef14_1 lcms2 conda-forge/win-64::lcms2-2.15-h67d730c_3 lerc conda-forge/win-64::lerc-4.0.0-h63175ca_0 libboost conda-forge/win-64::libboost-1.82.0-h65993cd_6 libboost-python conda-forge/win-64::libboost-python-1.82.0-py39h5c3ab46_6 libbrotlicommon conda-forge/win-64::libbrotlicommon-1.1.0-hcfcfb64_1 libbrotlidec conda-forge/win-64::libbrotlidec-1.1.0-hcfcfb64_1 libbrotlienc conda-forge/win-64::libbrotlienc-1.1.0-hcfcfb64_1 libdeflate conda-forge/win-64::libdeflate-1.19-hcfcfb64_0 libexpat conda-forge/win-64::libexpat-2.5.0-h63175ca_1 libglib conda-forge/win-64::libglib-2.78.1-he8f3873_0 libjpeg-turbo conda-forge/win-64::libjpeg-turbo-3.0.0-hcfcfb64_1 libpng conda-forge/win-64::libpng-1.6.39-h19919ed_0 libtiff conda-forge/win-64::libtiff-4.6.0-h6e2ebb7_2 libwebp-base conda-forge/win-64::libwebp-base-1.3.2-hcfcfb64_0 libxcb conda-forge/win-64::libxcb-1.15-hcd874cb_0 m2w64-gcc-libgfor~ conda-forge/win-64::m2w64-gcc-libgfortran-5.3.0-6 m2w64-gcc-libs conda-forge/win-64::m2w64-gcc-libs-5.3.0-7 m2w64-gcc-libs-co~ conda-forge/win-64::m2w64-gcc-libs-core-5.3.0-7 m2w64-gmp conda-forge/win-64::m2w64-gmp-6.1.0-2 m2w64-libwinpthre~ conda-forge/win-64::m2w64-libwinpthread-git-5.0.0.4634.697f757-2 matplotlib-base conda-forge/win-64::matplotlib-base-3.8.1-py39hf19769e_0 msys2-conda-epoch conda-forge/win-64::msys2-conda-epoch-20160418-1 munkres conda-forge/noarch::munkres-1.1.4-pyh9f0ad1d_0 openjpeg conda-forge/win-64::openjpeg-2.5.0-h3d672ee_3 packaging conda-forge/noarch::packaging-23.2-pyhd8ed1ab_0 pandas conda-forge/win-64::pandas-2.1.3-py39h32e6231_0 pcre2 conda-forge/win-64::pcre2-10.40-h17e33f8_0 pillow conda-forge/win-64::pillow-10.1.0-py39h368b509_0 pixman conda-forge/win-64::pixman-0.42.2-h63175ca_0 pthread-stubs conda-forge/win-64::pthread-stubs-0.4-hcd874cb_1001 pycairo conda-forge/win-64::pycairo-1.25.1-py39h82915f6_0 pyparsing conda-forge/noarch::pyparsing-3.1.1-pyhd8ed1ab_0 python-dateutil conda-forge/noarch::python-dateutil-2.8.2-pyhd8ed1ab_0 python-tzdata conda-forge/noarch::python-tzdata-2023.3-pyhd8ed1ab_0 pytz conda-forge/noarch::pytz-2023.3.post1-pyhd8ed1ab_0 rdkit conda-forge/win-64::rdkit-2023.09.2-py39h4e49fef_0 reportlab conda-forge/win-64::reportlab-4.0.7-py39ha55989b_0 rlpycairo conda-forge/noarch::rlpycairo-0.2.0-pyhd8ed1ab_0 six conda-forge/noarch::six-1.16.0-pyh6c4a22f_0 sqlalchemy conda-forge/win-64::sqlalchemy-2.0.23-py39ha55989b_0 typing-extensions conda-forge/noarch::typing-extensions-4.8.0-hd8ed1ab_0 typing_extensions conda-forge/noarch::typing_extensions-4.8.0-pyha770c72_0 unicodedata2 conda-forge/win-64::unicodedata2-15.1.0-py39ha55989b_0 xorg-libxau conda-forge/win-64::xorg-libxau-1.0.11-hcd874cb_0 xorg-libxdmcp conda-forge/win-64::xorg-libxdmcp-1.1.3-hcd874cb_0 zipp conda-forge/noarch::zipp-3.17.0-pyhd8ed1ab_0 zlib conda-forge/win-64::zlib-1.2.13-hcfcfb64_5 zstd conda-forge/win-64::zstd-1.5.5-h12be248_0 Downloading and Extracting Packages: …working… done Preparing transaction: …working… done Verifying transaction: …working… done Executing transaction: …working… done import(“rdkit”) Module(rdkit) 7.2 R安装python包pytorch 可以直接安装R包torch——R语言深度学习知多少-torch。 reticulate::py_install(pytorch)C:/Users/hp/AppData/Local/r-miniconda/condabin/conda.bat install –yes –prefix C:/Users/hp/AppData/Local/r-miniconda/envs/r-reticulate -c conda-forge pytorch Channels:- conda-forge- defaults Platform: win-64 Collecting package metadata (repodata.json): …working… done Solving environment: …working… done## Package Plan ##environment location: C:\Users\hp\AppData\Local\r-miniconda\envs\r-reticulateadded / updated specs:- pytorchThe following packages will be downloaded:package | build—————————|—————–blas-1.0 | mkl 1 KB conda-forgecffi-1.16.0 | py39ha55989b_0 231 KB conda-forgefilelock-3.13.1 | pyhd8ed1ab_0 15 KB conda-forgejinja2-3.1.2 | pyhd8ed1ab_1 99 KB conda-forgelibuv-1.44.2 | hcfcfb64_1 278 KB conda-forgemarkupsafe-2.1.3 | py39ha55989b_1 26 KB conda-forgemkl-service-2.4.0 | py39h2bbff1b_1 45 KBmpmath-1.3.0 | pyhd8ed1ab_0 428 KB conda-forgenetworkx-3.2.1 | pyhd8ed1ab_0 1.1 MB conda-forgeninja-1.11.1 | h91493d7_0 273 KB conda-forgepycparser-2.21 | pyhd8ed1ab_0 100 KB conda-forgepytorch-2.0.1 |cpu_py39hb0bdfb8_0 88.8 MBsympy-1.12 | pyh04b8f61_3 4.0 MB conda-forge————————————————————Total: 95.4 MBThe following NEW packages will be INSTALLED:blas conda-forge/win-64::blas-1.0-mkl cffi conda-forge/win-64::cffi-1.16.0-py39ha55989b_0 filelock conda-forge/noarch::filelock-3.13.1-pyhd8ed1ab_0 jinja2 conda-forge/noarch::jinja2-3.1.2-pyhd8ed1ab_1 libuv conda-forge/win-64::libuv-1.44.2-hcfcfb64_1 markupsafe conda-forge/win-64::markupsafe-2.1.3-py39ha55989b_1 mkl-service pkgs/main/win-64::mkl-service-2.4.0-py39h2bbff1b_1 mpmath conda-forge/noarch::mpmath-1.3.0-pyhd8ed1ab_0 networkx conda-forge/noarch::networkx-3.2.1-pyhd8ed1ab_0 ninja conda-forge/win-64::ninja-1.11.1-h91493d7_0 pycparser conda-forge/noarch::pycparser-2.21-pyhd8ed1ab_0 pytorch pkgs/main/win-64::pytorch-2.0.1-cpu_py39hb0bdfb8_0 sympy conda-forge/noarch::sympy-1.12-pyh04b8f61_3 Downloading and Extracting Packages: …working… done Preparing transaction: …working… done Verifying transaction: …working… done Executing transaction: …working… done但调用时显示缺少pytorch组件重新安装又提示已安装如下 reticulate::py_install(“pytorch”) “C:/Users/hp/AppData/Local/r-miniconda/condabin/conda.bat” “install” “–yes” “–prefix” “C:/Users/hp/AppData/Local/r-miniconda/envs/r-reticulate” “-c” “conda-forge” “pytorch” Channels: -conda-forge -defaults Platform: win-64 Collecting package metadata (repodata.json): …working… done Solving environment: …working… done All requested packages already installed. py_module_available(“pytorch”) [1] FALSE import(“pytorch”) Error in py_module_import(module, convert convert) : ModuleNotFoundError: No module named ‘pytorch’ Run reticulate::py_last_error() for details. 原因及解决办法 ModuleNotFoundError: 未找到名为“No_module_named“的模块的通俗解释和解决方法 ModuleNotFoundError: No module named ‘xxx‘可能的解决方案大全 python通过pip安装torch错误及解决办法ERROR: Could not find a version that satisfies the requirement torch 通过CMD命令行提示可知直接pip install安装无法找到合适的版本故需要从官网下载后安装。 在官网查到PyTorch在windows上仅支持3.8-3.11的python版本而笔者电脑上是3.12版本故版本不匹配无法安装或调用。 具体的解决办法以后用到再说吧… 7.3 R安装python包seaborn reticulate::py_install(“seaborn”) “C:/Users/hp/AppData/Local/r-miniconda/condabin/conda.bat” “install” “–yes” “–prefix” “C:/Users/hp/AppData/Local/r-miniconda/envs/r-reticulate” “-c” “conda-forge” “seaborn” Channels: conda-forge defaults Platform: win-64 Collecting package metadata (repodata.json): …working… done Solving environment: …working… done ##Package Plan ## environment location: C:\Users\hp\AppData\Local\r-miniconda\envs\r-reticulate added / updated specs: - seaborn The following packages will be downloaded: package | build —————————|—————– patsy-0.5.3 | pyhd8ed1ab_0 189 KB conda-forge scipy-1.11.3 | py39hddb5d58_1 13.5 MB conda-forge seaborn-0.13.0 | hd8ed1ab_0 7 KB conda-forge seaborn-base-0.13.0 | pyhd8ed1ab_0 228 KB conda-forge statsmodels-0.14.0 | py39hd88c2e4_2 9.5 MB conda-forge ———————————————————— Total: 23.5 MB The following NEW packages will be INSTALLED: patsy conda-forge/noarch::patsy-0.5.3-pyhd8ed1ab_0 scipy conda-forge/win-64::scipy-1.11.3-py39hddb5d58_1 seaborn conda-forge/noarch::seaborn-0.13.0-hd8ed1ab_0 seaborn-base conda-forge/noarch::seaborn-base-0.13.0-pyhd8ed1ab_0 statsmodels conda-forge/win-64::statsmodels-0.14.0-py39hd88c2e4_2 Downloading and Extracting Packages: …working… done Preparing transaction: …working… done Verifying transaction: …working… done Executing transaction: …working… done py_module_available(“seaborn”) [1] TRUE import(“seaborn”) Module(seaborn) 7.4 R-python调用 Sys.which(“python”) python “C:\Users\hp\AppData\Local\R-MINI1\envs\R-RETI1\python.exe” load python pkgs in R 调用os模块的listdir()函数 os - import(“os”) os$listdir(“./”) [1] “.Rhistory” “200205-R包randomForest的随机森林分类模型以及对重要变量的选择” [3] “200627-R包randomForest的随机森林回归模型以及对重要变量的选择” “210117-如何评估随机森林模型以及重要预测变量的显著性” [5] “mastering-software-development-in-r.pdf” “rmarkdown-cheatsheet.pdf” [7] “Rmarkdown入门教程-庄闪闪” “rstudio_ide_commands.pdf” [9] “R_functions.R” “R_install.R” [11] “R_packages” “R_ZJH” [13] “R语言可视化教程—庄闪闪” “R语言从数据思维到数据实战-数据代码-狗熊会-朱雪宁” import(“os”) Module(os) import(“numpy”) Module(numpy) reticulate::py_available() [1] TRUE import(“rdkit”) Error in py_module_import(module, convert convert) : ModuleNotFoundError: No module named ‘rdkit’ Run reticulate::py_last_error() for details. 8. 总结 以上所有报错解决办法总结 卸载重装Miniconda在 install_miniconda()报错二这一部分中运行代码时全程关闭代理提前更新了hosts文件。 其他学习资料 Install Miniconda Install Miniconda In rstudio/reticulate: Interface to ‘Python’ Urgent! How can i install miniconda under R environment by using reticulate? unable to install miniconda in R github-reticulate包 官网介绍-R Interface to Python reticulate在R中使用Python 手把手 | 哇用R也可以跑Python了 reticulate-Calling Python from R reticulate-Installing Python Packages Installing and Configuring Python with RStudio