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如何正确使用Anaconda配置Python,R环境

如何正确使用Anaconda配置Python,R环境

作者: 一只想吃螃蟹的熊猫 | 来源:发表于2017-03-30 14:12 被阅读0次

    这篇文章摘于我写在github上的一篇文章,希望大家多提意见,谢谢。

    How to set up your own anaconda in a scientific way?

    python2, python3, R in conda

    Introduction

    • what is anaconda?

      • According to its own website, Anaconda is the leading open data science platform powered by Python. The open source version of Anaconda is a high performance distribution of Python and R and includes over 100 of the most popular Python, R and Scala packages for data science.
      • Or you can simply regard it as a manager of the packages of your programming languages.
    • why we want to use anaconda?

      • Convinient to manage packages
      • Jupyter notebook
    • object

      • Set up anaconda for a python and r user (linux)
      • I use py2 more often so I set it my default environment

    Get started!

    1. Click this link and download corresponding version of anaconda.

    2. Type the following line in the terminal and the installation will be set up automatically

       ```bash Anaconda2-4.3.1-Linux-x86_64.sh``` . 
      

    Do include the "bash" command even if you are not using the bash shell.

    1. Add the following line to the .bashrc or .zshrc(if you are a zsh user).

       ```export PATH="/home/zijun/anaconda2/bin:$PATH"```
      
    2. Create python3 environment in your conda.

       ```conda create -n py3 python=3.5 anaconda```
      
    3. Create R environment in your conda.

       ```conda create -n r -c r r-essentials```
      
    4. Install tck for R (enable install.packages() in R)

       ```source activate r
          conda install -c intel tcl=8.6.4```
      
    5. Note1: if you want to remove environment you install:

       ```conda remove --name py3 --all```
      
    6. Note2: switch different environment

       ```source activate r
          source deactivate r```
      

    Some issues you may encounter during the process

    Q: tcl not found

    install.packages('highfrequency')
    --- Please select a CRAN mirror for use in this session ---
    Error: .onLoad failed in loadNamespace() for 'tcltk', details:
    call: fun(libname, pkgname)
    error: Can't find a usable init.tcl in the following directories:
    /opt/anaconda1anaconda2anaconda3/lib/tcl8.5 ./lib/tcl8.5 ./lib/tcl8.5 ./library ./library ./tcl8.5.18/library ./tcl8.5.18/library

    A: Solution:

    • Just do the step 5 above to solve this problem.

    • Or add the following lines to the .bashrc or .zshrc

       ``` export TCL_LIBRARY="/home/zijun/anaconda2/lib/tcl8.5"
           export TK_LIBRARY="/home/zijun/anaconda2/lib/tk8.5" ```
      
    • Note1: tck is a package which supports install.packages() function and it is installed in the global environment if you use sudo apt-get install tcl8.5-dev tk8.5-dev and conda has no access to it.

    • Note2: packages will be installed in /home/zijun/anaconda/envs/r/lib/R/library using install.packages()

    Q: How to install packages in R

    A: Since we set up the tcl, we can easily use install.packages() or remove.packages() to manage the R packages. However in this way, conda will lose control over r packages. Also you may find some suggestions using conda-build like this:

    • switch back to the root environment
    • type conda install conda-build in the terminal
    • Use conda skeleton cran and conda build to install packages (you may mind the dependency issue)

    However this will not give you the control either. Moreover, there might be more issues about shitty sytax in R. So my suggestion is simply using install.packages() in R to install your packages.

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