python in RStudio
R에서 miniconda설치 후(https://onesixx.com/reticulate/),
R스크립트에서 관련 Library 불러오고, 특정 conda 가상환경및 python 위치를 지정하여 준비한다.
이후, OOO.py 로 파일을 만들면, RStudio에서 python코드를 실행할 수 있다.
myENV='sixxDL'
library(keras)
library(reticulate)
# install_keras(method="conda", tensorflow="gpu")
### create new myENV by cloning
# ~$➜ conda create --clone r-reticulate --name sixxDL
Sys.setenv(RETICULATE_PYTHON_ENV=myENV)
Sys.setenv(RETICULATE_PYTHON=file.path("~/Library/r-miniconda/envs",myENV,"bin/python"))
use_condaenv(condaenv=myENV, required=T)
if (Sys.info()["sysname"]=="Darwin"){
\tuse_backend(backend=c("plaidml"))
} else {
\tuse_backend(backend="tensorflow")
}
keras::k_backend()
#system("plaidbench keras mobilenet")
#py_config()
# py_install("pandas")
# py_install("matplotlib")
# py_install("scikit-learn")
#.rs.restartR() # cmd+shift+F10
#repl_python()
from pandas import read_csv
from matplotlib import pyplot
# load dataset
dataset = read_csv('pollution.csv', header=0, index_col=0)
values = dataset.values
# specify columns to plot
groups = [0, 1, 2, 3, 5, 6, 7]
i = 1
# plot each column
pyplot.figure()
for group in groups:
\tpyplot.subplot(len(groups), 1, i)
\tpyplot.plot(values[:, group])
\tpyplot.title(dataset.columns[group], y=0.5, loc='right')
\ti += 1
pyplot.show()
> reticulate::repl_python()
Python 3.6.10 (/home/onesixx/.local/share/r-miniconda/envs/sixxDL/bin/python)
Reticulate 1.16 REPL -- A Python interpreter in R.
>>> from pandas import read_csv
>>> from matplotlib import pyplot
>>> dataset = read_csv('pollution.csv', header=0, index_col=0)
>>> dataset
No pollution dew temp ... wnd_spd snow rain daytime
1 25 129 -16 -4.0 ... 1.79 0 0 2010-01-02 00:00:00
2 26 148 -15 -4.0 ... 2.68 0 0 2010-01-02 01:00:00
3 27 159 -11 -5.0 ... 3.57 0 0 2010-01-02 02:00:00
4 28 181 -7 -5.0 ... 5.36 1 0 2010-01-02 03:00:00
5 29 138 -7 -5.0 ... 6.25 2 0 2010-01-02 04:00:00
... ... ... ... ... ... ... ... ... ...
43796 43820 8 -23 -2.0 ... 231.97 0 0 2014-12-31 19:00:00
43797 43821 10 -22 -3.0 ... 237.78 0 0 2014-12-31 20:00:00
43798 43822 10 -22 -3.0 ... 242.70 0 0 2014-12-31 21:00:00
43799 43823 8 -22 -4.0 ... 246.72 0 0 2014-12-31 22:00:00
43800 43824 12 -21 -3.0 ... 249.85 0 0 2014-12-31 23:00:00특정 가상환경에 추가적인 패키지를 설치하려고 할때,
RStudio내에 Terminal이 안되는 경우가 있으며, 기존의 사용하던 Terminal을 이용하면 문제없이 설치된다.
(base) onesixx@cf1d8cf6e830:/usr/lib/R/etc$ conda activate sixxDL (sixxDL) onesixx@cf1d8cf6e830:/usr/lib/R/etc$ conda install pandas (sixxDL) onesixx@cf1d8cf6e830:/usr/lib/R/etc$ conda install matplotlib (sixxDL) onesixx@cf1d8cf6e830:/usr/lib/R/etc$ conda install scikit-learn
(base) onesixx@cf1d8cf6e830:/usr/lib/R/etc$ conda info
active environment : base
active env location : /home/onesixx/.local/share/r-miniconda
shell level : 1
user config file : /home/onesixx/.condarc
populated config files :
conda version : 4.8.3
conda-build version : not installed
python version : 3.8.3.final.0
virtual packages : __cuda=10.1
__glibc=2.27
base environment : /home/onesixx/.local/share/r-miniconda (writable)
channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /home/onesixx/.local/share/r-miniconda/pkgs
/home/onesixx/.conda/pkgs
envs directories : /home/onesixx/.local/share/r-miniconda/envs
/home/onesixx/.conda/envs
platform : linux-64
user-agent : conda/4.8.3 requests/2.24.0 CPython/3.8.3 Linux/3.10.0-1062.18.1.el7.x86_64 ubuntu/18.04.4 glibc/2.27
UID:GID : 1001:1001
netrc file : None
offline mode : False
(base) onesixx@cf1d8cf6e830:/usr/lib/R/etc$ conda env list
# conda environments:
#
base * /home/onesixx/.local/share/r-miniconda
r-reticulate /home/onesixx/.local/share/r-miniconda/envs/r-reticulate
sixxDL /home/onesixx/.local/share/r-miniconda/envs/sixxDL
(base) onesixx@cf1d8cf6e830:/usr/lib/R/etc$ conda activate sixxDL
(sixxDL) onesixx@cf1d8cf6e830:/usr/lib/R/etc$ conda list
# packages in environment at /home/onesixx/.local/share/r-miniconda/envs/sixxDL:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_gnu conda-forge
absl-py 0.9.0 pypi_0 pypi
astunparse 1.6.3 pypi_0 pypi
ca-certificates 2020.6.24 0
cachetools 4.1.1 pypi_0 pypi
certifi 2020.6.20 py36_0
chardet 3.0.4 pypi_0 pypi
gast 0.3.3 pypi_0 pypi
google-auth 1.20.0 pypi_0 pypi
google-auth-oauthlib 0.4.1 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.31.0 pypi_0 pypi
h5py 2.10.0 pypi_0 pypi
idna 2.10 pypi_0 pypi
importlib-metadata 1.7.0 pypi_0 pypi
keras 2.4.3 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
ld_impl_linux-64 2.34 hc38a660_9 conda-forge
libffi 3.2.1 he1b5a44_1007 conda-forge
libgcc-ng 9.3.0 h24d8f2e_14 conda-forge
libgomp 9.3.0 h24d8f2e_14 conda-forge
libstdcxx-ng 9.3.0 hdf63c60_14 conda-forge
markdown 3.2.2 pypi_0 pypi
ncurses 6.2 he1b5a44_1 conda-forge
numpy 1.18.5 pypi_0 pypi
oauthlib 3.1.0 pypi_0 pypi
openssl 1.1.1g h7b6447c_0
opt-einsum 3.3.0 pypi_0 pypi
pillow 7.2.0 pypi_0 pypi
pip 20.2.1 py_0 conda-forge
protobuf 3.12.4 pypi_0 pypi
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
python 3.6.10 hcf32534_1
pyyaml 3.12 pypi_0 pypi
readline 8.0 he28a2e2_2 conda-forge
requests 2.24.0 pypi_0 pypi
requests-oauthlib 1.3.0 pypi_0 pypi
rsa 4.6 pypi_0 pypi
scipy 1.4.1 pypi_0 pypi
setuptools 49.2.0 py36_0
six 1.15.0 pypi_0 pypi
sqlite 3.32.3 hcee41ef_1 conda-forge
tensorboard 2.3.0 pypi_0 pypi
tensorboard-plugin-wit 1.7.0 pypi_0 pypi
tensorflow 2.3.0 pypi_0 pypi
tensorflow-estimator 2.3.0 pypi_0 pypi
tensorflow-gpu 2.2.0 pypi_0 pypi
tensorflow-hub 0.8.0 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
tk 8.6.10 hed695b0_0 conda-forge
urllib3 1.25.10 pypi_0 pypi
werkzeug 1.0.1 pypi_0 pypi
wheel 0.34.2 py_1 conda-forge
wrapt 1.12.1 pypi_0 pypi
xz 5.2.5 h516909a_1 conda-forge
zipp 3.1.0 pypi_0 pypi
zlib 1.2.11 h516909a_1006 conda-forge
(sixxDL) onesixx@cf1d8cf6e830:/usr/lib/R/etc$ conda install pandas
(sixxDL) onesixx@cf1d8cf6e830:/usr/lib/R/etc$ conda install matplotlib 
