I'm trying to install rpy2 inside a Watson Studio 'environment':
!pip install rpy2 However, the environments don't appear to have R available:
How can I install rpy2 inside a Watson Studio Python 'Enviroment'? Is this possble?
Note: Watson Studio Environments are custom containers, so an answer should only be provided if the answer is known to work on Watson Studio Environments.
Use conda instead of pip. It knows how to install the R runtime. But beware, there are many packages that need to be installed...
!conda install rpy2
Fetching package metadata ........... Solving package specifications: .
Package plan for installation in environment /opt/conda/envs/DSX-Python35:
The following NEW packages will be INSTALLED:
_r-mutex: 1.0.0-mro_2 binutils_impl_linux-64: 2.31.1-h6176602_1 binutils_linux-64: 2.31.1-h6176602_3 fribidi: 1.0.5-h7b6447c_0 gcc_impl_linux-64: 7.3.0-habb00fd_1 gcc_linux-64: 7.3.0-h553295d_3 gfortran_impl_linux-64: 7.3.0-hdf63c60_1 gfortran_linux-64: 7.3.0-h553295d_3 gxx_impl_linux-64: 7.3.0-hdf63c60_1 gxx_linux-64: 7.3.0-h553295d_3 kiwisolver: 1.0.1-py35hf484d3e_0 libcurl: 7.61.1-heec0ca6_0 libuuid: 1.0.3-h1bed415_2 make: 4.2.1-h1bed415_1 mro-base: 3.5.1-3 mro-base_impl: 3.5.1-h9a62091_0 r-assertthat: 0.2.0-mro351hf348343_0 r-bh: 1.66.0_1-mro351hf348343_0 r-bindr: 0.1.1-mro351hf348343_0 r-bindrcpp: 0.2.2-mro351hebc1506_0 r-bit: 1.1_14-mro351hd10c6a6_0 r-bit64: 0.9_7-mro351hd10c6a6_0 r-blob: 1.1.1-mro351hf348343_0 r-cli: 1.0.0-mro351hf348343_0 r-crayon: 1.3.4-mro351hf348343_0 r-dbi: 1.0.0-mro351hf348343_0 r-dbplyr: 1.2.2-mro351hf348343_0 r-digest: 0.6.15-mro351hd10c6a6_0 r-dplyr: 0.7.6-mro351hebc1506_0 r-fansi: 0.2.3-mro351hd10c6a6_0 r-glue: 1.3.0-mro351hd10c6a6_0 r-magrittr: 1.5-mro351hf348343_0 r-memoise: 1.1.0-mro351hf348343_0 r-pillar: 1.3.0-mro351hf348343_0 r-pkgconfig: 2.0.1-mro351hf348343_0 r-plogr: 0.2.0-mro351hf348343_0 r-prettyunits: 1.0.2-mro351hf348343_0 r-purrr: 0.2.5-mro351hd10c6a6_0 r-r6: 2.2.2-mro351hf348343_0 r-rcpp: 0.12.18-mro351hebc1506_0 r-revoutils: 11.0.0-mro351_0 r-revoutilsmath: 11.0.0-mro351_0 r-rlang: 0.2.1-mro351hd10c6a6_0 r-rsqlite: 2.1.1-mro351hebc1506_0 r-tibble: 1.4.2-mro351hd10c6a6_0 r-tidyselect: 0.2.4-mro351hebc1506_0 r-utf8: 1.1.4-mro351hd10c6a6_0 rpy2: 2.9.4-py35mro351h6853232_0 The following packages will be UPDATED:
cairo: 1.14.12-h77bcde2_0 --> 1.14.12-h8948797_3 curl: 7.55.1-h78862de_4 --> 7.61.1-hbc83047_0 dbus: 1.10.22-h3b5a359_0 --> 1.13.2-h714fa37_1 fontconfig: 2.12.4-h88586e7_1 --> 2.13.0-h9420a91_0 freetype: 2.8-hab7d2ae_1 --> 2.9.1-h8a8886c_1 glib: 2.53.6-h5d9569c_2 --> 2.56.2-hd408876_0 graphite2: 1.3.10-hf63cedd_1 --> 1.3.12-h23475e2_2 graphviz: 2.40.1-h25d223c_0 --> 2.40.1-h21bd128_2 gst-plugins-base: 1.12.2-he3457e5_0 --> 1.14.0-hbbd80ab_1 gstreamer: 1.12.2-h4f93127_0 --> 1.14.0-hb453b48_1 harfbuzz: 1.7.4-hc5b324e_0 --> 1.8.8-hffaf4a1_0 libgcc-ng: 7.2.0-h7cc24e2_2 --> 8.2.0-hdf63c60_1 libgfortran-ng: 7.2.0-h9f7466a_2 --> 7.3.0-hdf63c60_0 libstdcxx-ng: 7.2.0-h7a57d05_2 --> 8.2.0-hdf63c60_1 libxcb: 1.12-hcd93eb1_4 --> 1.13-h1bed415_1 libxml2: 2.9.4-h6b072ca_5 --> 2.9.8-h26e45fe_1 matplotlib: 2.1.0-py35h2cbf27e_0 --> 2.2.3-py35hb69df0a_0 pango: 1.41.0-hd475d92_0 --> 1.42.4-h049681c_0 pcre: 8.41-hc27e229_1 --> 8.42-h439df22_0 pillow: 4.2.1-py35h03abc04_0 --> 5.2.0-py35heded4f4_0 pycurl: 7.43.0-py35h7a9665c_3 --> 7.43.0.2-py35hb7f436b_0 pyqt: 5.6.0-py35h0e41ada_5 --> 5.9.2-py35h05f1152_2 qt: 5.6.2-h974d657_12 --> 5.9.6-h8703b6f_2 sip: 4.18.1-py35h9eaea60_2 --> 4.19.8-py35hf484d3e_0 xz: 5.2.3-h55aa19d_2 --> 5.2.4-h14c3975_4