In [1]:
%%bash
conda install -y -c bokeh datashader=0.4.0
Fetching package metadata .............
Solving package specifications: ..........
Package plan for installation in environment /opt/conda:
The following packages will be downloaded:
package | build
---------------------------|-----------------
multipledispatch-0.4.9 | py35_0 12 KB
pillow-4.1.0 | py35_0 867 KB
datashape-0.5.4 | py35_0 98 KB
qt-5.6.2 | 3 43.4 MB
odo-0.4.2 | py35_0 176 KB bokeh
pyqt-5.6.0 | py35_2 5.4 MB
xarray-0.9.3 | py35_0 483 KB
matplotlib-2.0.0 | np112py35_0 10.9 MB
datashader-0.4.0 | py35_0 153 KB bokeh
------------------------------------------------------------
Total: 61.4 MB
The following NEW packages will be INSTALLED:
datashader: 0.4.0-py35_0 bokeh
datashape: 0.5.4-py35_0
multipledispatch: 0.4.9-py35_0
odo: 0.4.2-py35_0 bokeh
pyqt: 5.6.0-py35_2
qt: 5.6.2-3
xarray: 0.9.3-py35_0
The following packages will be SUPERCEDED by a higher-priority channel:
matplotlib: 2.0.0-np112py35_3 conda-forge --> 2.0.0-np112py35_0
pillow: 4.1.0-py35_0 conda-forge --> 4.1.0-py35_0
Pruning fetched packages from the cache ...
Fetching packages ...
multipledispat 100% |###############################| Time: 0:00:00 6.33 MB/s
pillow-4.1.0-p 100% |###############################| Time: 0:00:00 2.26 MB/s
datashape-0.5. 100% |###############################| Time: 0:00:00 2.20 MB/s
qt-5.6.2-3.tar 100% |###############################| Time: 0:00:11 3.96 MB/s
odo-0.4.2-py35 100% |###############################| Time: 0:00:00 1.33 MB/s
pyqt-5.6.0-py3 100% |###############################| Time: 0:00:01 4.90 MB/s
xarray-0.9.3-p 100% |###############################| Time: 0:00:00 4.35 MB/s
matplotlib-2.0 100% |###############################| Time: 0:00:02 4.02 MB/s
datashader-0.4 100% |###############################| Time: 0:00:00 905.42 kB/s
Extracting packages ...
[ COMPLETE ]|##################################################| 100%
Unlinking packages ...
[ COMPLETE ]|##################################################| 100%
Linking packages ...
[ COMPLETE ]|##################################################| 100%
In [2]:
%%bash
conda install -y -c ioam holoviews=1.7
Fetching package metadata .............
Solving package specifications: ..........
Package plan for installation in environment /opt/conda:
The following packages will be downloaded:
package | build
---------------------------|-----------------
param-1.5.1 | py35_0 501 KB ioam
numexpr-2.6.2 |np112py35_nomkl_0 362 KB
jupyter_console-5.1.0 | py35_0 34 KB
qtconsole-4.3.0 | py35_0 176 KB
jupyter-1.0.0 | py35_3 3 KB
holoviews-1.7 | py35_0 1.9 MB ioam
------------------------------------------------------------
Total: 2.9 MB
The following NEW packages will be INSTALLED:
holoviews: 1.7-py35_0 ioam
jupyter: 1.0.0-py35_3
jupyter_console: 5.1.0-py35_0
param: 1.5.1-py35_0 ioam
qtconsole: 4.3.0-py35_0
The following packages will be SUPERCEDED by a higher-priority channel:
numexpr: 2.6.2-np112py35_0 conda-forge --> 2.6.2-np112py35_nomkl_0 [nomkl]
Fetching packages ...
param-1.5.1-py 100% |###############################| Time: 0:00:00 2.88 MB/s
numexpr-2.6.2- 100% |###############################| Time: 0:00:00 3.49 MB/s
jupyter_consol 100% |###############################| Time: 0:00:00 626.07 kB/s
qtconsole-4.3. 100% |###############################| Time: 0:00:00 4.36 MB/s
jupyter-1.0.0- 100% |###############################| Time: 0:00:00 2.05 MB/s
holoviews-1.7- 100% |###############################| Time: 0:00:00 2.98 MB/s
Extracting packages ...
[ COMPLETE ]|##################################################| 100%
Unlinking packages ...
[ COMPLETE ]|##################################################| 100%
Linking packages ...
[ COMPLETE ]|##################################################| 100%
In [3]:
%%bash
conda env export --name root
name: root
channels: !!python/tuple
- r
- defaults
- conda-forge
dependencies:
- bokeh::datashader=0.4.0=py35_0
- bokeh::odo=0.4.2=py35_0
- bzip2=1.0.6=3
- cairo=1.14.8=0
- conda=4.2.12=py35_0
- conda-env=2.6.0=0
- conda-forge::beautifulsoup4=4.5.3=py35_0
- conda-forge::blas=1.1=openblas
- conda-forge::bleach=1.5.0=py35_0
- conda-forge::bokeh=0.12.5=py35_0
- conda-forge::boto3=1.4.4=py35_0
- conda-forge::botocore=1.5.39=py35_0
- conda-forge::click=6.7=py35_0
- conda-forge::cloudpickle=0.2.2=py35_2
- conda-forge::configurable-http-proxy=2.0.0=0
- conda-forge::cycler=0.10.0=py35_0
- conda-forge::cython=0.25.2=py35_1
- conda-forge::dask=0.14.1=py35_0
- conda-forge::dbus=1.10.10=3
- conda-forge::decorator=4.0.11=py35_0
- conda-forge::dill=0.2.6=py35_0
- conda-forge::distributed=1.16.1=py35_0
- conda-forge::docutils=0.13.1=py35_0
- conda-forge::entrypoints=0.2.2=py35_1
- conda-forge::expat=2.1.0=2
- conda-forge::gettext=0.19.7=1
- conda-forge::gmp=6.1.2=0
- conda-forge::gsl=2.2.1=blas_openblas_2
- conda-forge::gst-plugins-base=1.8.0=0
- conda-forge::gstreamer=1.8.0=1
- conda-forge::h5py=2.6.0=np112py35_7
- conda-forge::hdf5=1.8.17=10
- conda-forge::heapdict=1.0.0=py35_0
- conda-forge::html5lib=0.999=py35_0
- conda-forge::ipykernel=4.6.0=py35_0
- conda-forge::ipython=5.3.0=py35_0
- conda-forge::ipython_genutils=0.2.0=py35_0
- conda-forge::ipywidgets=6.0.0=py35_0
- conda-forge::jinja2=2.9.5=py35_0
- conda-forge::jmespath=0.9.2=py35_0
- conda-forge::jpeg=9b=0
- conda-forge::jsonschema=2.5.1=py35_0
- conda-forge::jupyter_client=5.0.1=py35_0
- conda-forge::jupyter_core=4.3.0=py35_0
- conda-forge::jupyterhub=0.7.2=py35_0
- conda-forge::jupyterlab=0.18.1=py35_0
- conda-forge::libffi=3.2.1=3
- conda-forge::libiconv=1.14=4
- conda-forge::libpng=1.6.28=0
- conda-forge::libsodium=1.0.10=0
- conda-forge::libtiff=4.0.6=7
- conda-forge::libxcb=1.12=1
- conda-forge::locket=0.2.0=py35_1
- conda-forge::markupsafe=0.23=py35_1
- conda-forge::mistune=0.7.4=py35_0
- conda-forge::mpmath=0.19=py35_2
- conda-forge::msgpack-python=0.4.8=py35_0
- conda-forge::nbconvert=5.1.1=py35_1
- conda-forge::nbformat=4.2.0=py35_0
- conda-forge::networkx=1.11=py35_0
- conda-forge::nodejs=6.6.0=0
- conda-forge::notebook=5.0.0=py35_0
- conda-forge::numpy=1.12.1=py35_blas_openblas_200
- conda-forge::olefile=0.44=py35_0
- conda-forge::openblas=0.2.19=2
- conda-forge::pamela=0.3.0=py35_0
- conda-forge::pandas=0.19.2=np112py35_1
- conda-forge::pandoc=1.19.2=0
- conda-forge::pandocfilters=1.4.1=py35_0
- conda-forge::partd=0.3.7=py35_0
- conda-forge::patsy=0.4.1=py35_0
- conda-forge::pcre=8.39=0
- conda-forge::pexpect=4.2.1=py35_0
- conda-forge::pickleshare=0.7.3=py35_0
- conda-forge::prompt_toolkit=1.0.14=py35_0
- conda-forge::psutil=5.2.1=py35_0
- conda-forge::ptyprocess=0.5.1=py35_0
- conda-forge::pygments=2.2.0=py35_0
- conda-forge::pyparsing=2.2.0=py35_0
- conda-forge::python-dateutil=2.6.0=py35_0
- conda-forge::pytz=2017.2=py35_0
- conda-forge::pyyaml=3.12=py35_1
- conda-forge::s3fs=0.0.9=py35_0
- conda-forge::s3transfer=0.1.10=py35_1
- conda-forge::scikit-image=0.12.3=np112py35_1
- conda-forge::scikit-learn=0.18.1=np112py35_blas_openblas_200
- conda-forge::scipy=0.19.0=np112py35_blas_openblas_200
- conda-forge::seaborn=0.7.1=py35_0
- conda-forge::simplegeneric=0.8.1=py35_0
- conda-forge::sip=4.18=py35_1
- conda-forge::six=1.10.0=py35_1
- conda-forge::sortedcontainers=1.5.3=py35_0
- conda-forge::sqlalchemy=1.1.5=py35_0
- conda-forge::statsmodels=0.8.0=np112py35_0
- conda-forge::sympy=1.0=py35_0
- conda-forge::tblib=1.3.2=py35_0
- conda-forge::terminado=0.6=py35_0
- conda-forge::testpath=0.3=py35_0
- conda-forge::toolz=0.8.2=py35_0
- conda-forge::tornado=4.4.2=py35_0
- conda-forge::traitlets=4.3.2=py35_0
- conda-forge::vincent=0.4.4=py35_0
- conda-forge::wcwidth=0.1.7=py35_0
- conda-forge::webencodings=0.5=py35_0
- conda-forge::widgetsnbextension=2.0.0=py35_0
- conda-forge::xlrd=1.0.0=py35_1
- conda-forge::xorg-libxau=1.0.8=3
- conda-forge::xorg-libxdmcp=1.1.2=3
- conda-forge::zict=0.1.1=py35_0
- curl=7.52.1=0
- datashape=0.5.4=py35_0
- fastcache=1.0.2=py35_1
- fontconfig=2.12.1=3
- freetype=2.5.5=2
- glib=2.50.2=1
- harfbuzz=0.9.39=2
- icu=54.1=0
- ioam::holoviews=1.7=py35_0
- ioam::param=1.5.1=py35_0
- jupyter=1.0.0=py35_3
- jupyter_console=5.1.0=py35_0
- libgcc=5.2.0=0
- libgfortran=3.0.0=1
- libxml2=2.9.4=0
- llvmlite=0.16.0=py35_0
- matplotlib=2.0.0=np112py35_0
- multipledispatch=0.4.9=py35_0
- ncurses=5.9=10
- nomkl=1.0=0
- numba=0.31.0=np112py35_0
- numexpr=2.6.2=np112py35_nomkl_0
- openssl=1.0.2j=0
- pango=1.40.3=1
- pillow=4.1.0=py35_0
- pip=8.1.2=py35_0
- pixman=0.34.0=0
- pycosat=0.6.1=py35_1
- pycrypto=2.6.1=py35_4
- pyqt=5.6.0=py35_2
- python=3.5.2=0
- pyzmq=16.0.2=py35_0
- qt=5.6.2=3
- qtconsole=4.3.0=py35_0
- r::r=3.3.2=r3.3.2_0
- r::r-assertthat=0.1=r3.3.2_4
- r::r-backports=1.0.4=r3.3.2_0
- r::r-base=3.3.2=1
- r::r-base64enc=0.1_3=r3.3.2_0
- r::r-bh=1.62.0_1=r3.3.2_0
- r::r-bitops=1.0_6=r3.3.2_2
- r::r-boot=1.3_18=r3.3.2_0
- r::r-broom=0.4.1=r3.3.2_0
- r::r-car=2.1_4=r3.3.2_0
- r::r-caret=6.0_73=r3.3.2_0
- r::r-catools=1.17.1=r3.3.2_2
- r::r-class=7.3_14=r3.3.2_0
- r::r-cluster=2.0.5=r3.3.2_0
- r::r-codetools=0.2_15=r3.3.2_0
- r::r-colorspace=1.3_1=r3.3.2_0
- r::r-crayon=1.3.2=r3.3.2_0
- r::r-curl=2.3=r3.3.2_0
- r::r-dbi=0.5_1=r3.3.2_0
- r::r-devtools=1.12.0=r3.3.2_0
- r::r-dichromat=2.0_0=r3.3.2_2
- r::r-digest=0.6.10=r3.3.2_0
- r::r-dplyr=0.5.0=r3.3.2_0
- r::r-evaluate=0.10=r3.3.2_0
- r::r-forcats=0.1.1=r3.3.2_0
- r::r-foreach=1.4.3=r3.3.2_0
- r::r-forecast=7.3=r3.3.2_0
- r::r-foreign=0.8_67=r3.3.2_0
- r::r-fracdiff=1.4_2=r3.3.2_2
- r::r-ggplot2=2.2.0=r3.3.2_0
- r::r-git2r=0.16.0=r3.3.2_0
- r::r-gtable=0.2.0=r3.3.2_0
- r::r-haven=1.0.0=r3.3.2_0
- r::r-highr=0.6=r3.3.2_0
- r::r-hms=0.3=r3.3.2_0
- r::r-htmltools=0.3.5=r3.3.2_0
- r::r-httpuv=1.3.3=r3.3.2_0
- r::r-httr=1.2.1=r3.3.2_0
- r::r-irdisplay=0.4.4=r3.3.2_0
- r::r-irkernel=0.7.1=r3.3.2_0
- r::r-iterators=1.0.8=r3.3.2_0
- r::r-jsonlite=1.1=r3.3.2_0
- r::r-kernsmooth=2.23_15=r3.3.2_0
- r::r-knitr=1.15.1=r3.3.2_0
- r::r-labeling=0.3=r3.3.2_2
- r::r-lattice=0.20_34=r3.3.2_0
- r::r-lazyeval=0.2.0=r3.3.2_0
- r::r-lme4=1.1_12=r3.3.2_0
- r::r-lubridate=1.6.0=r3.3.2_0
- r::r-magrittr=1.5=r3.3.2_2
- r::r-markdown=0.7.7=r3.3.2_2
- r::r-mass=7.3_45=r3.3.2_0
- r::r-matrix=1.2_7.1=r3.3.2_0
- r::r-matrixmodels=0.4_1=r3.3.2_0
- r::r-memoise=1.0.0=r3.3.2_0
- r::r-mgcv=1.8_16=r3.3.2_0
- r::r-mime=0.5=r3.3.2_0
- r::r-minqa=1.2.4=r3.3.2_2
- r::r-mnormt=1.5_5=r3.3.2_0
- r::r-modelmetrics=1.1.0=r3.3.2_0
- r::r-modelr=0.1.0=r3.3.2_0
- r::r-munsell=0.4.3=r3.3.2_0
- r::r-nlme=3.1_128=r3.3.2_0
- r::r-nloptr=1.0.4=r3.3.2_2
- r::r-nnet=7.3_12=r3.3.2_0
- r::r-nycflights13=0.2.0=r3.3.2_0
- r::r-openssl=0.9.5=r3.3.2_0
- r::r-pbdzmq=0.2_4=r3.3.2_0
- r::r-pbkrtest=0.4_6=r3.3.2_0
- r::r-plogr=0.1_1=r3.3.2_0
- r::r-plyr=1.8.4=r3.3.2_0
- r::r-psych=1.6.9=r3.3.2_0
- r::r-purrr=0.2.2=r3.3.2_0
- r::r-quadprog=1.5_5=r3.3.2_2
- r::r-quantreg=5.29=r3.3.2_0
- r::r-r6=2.2.0=r3.3.2_0
- r::r-randomforest=4.6_12=r3.3.2_0
- r::r-rcolorbrewer=1.1_2=r3.3.2_3
- r::r-rcpp=0.12.8=r3.3.2_0
- r::r-rcpparmadillo=0.7.500.0.0=r3.3.2_0
- r::r-rcppeigen=0.3.2.9.0=r3.3.2_0
- r::r-rcurl=1.95_4.8=r3.3.2_0
- r::r-readr=1.0.0=r3.3.2_0
- r::r-readxl=0.1.1=r3.3.2_0
- r::r-recommended=3.3.2=r3.3.2_0
- r::r-repr=0.10=r3.3.2_0
- r::r-reshape2=1.4.2=r3.3.2_0
- r::r-rmarkdown=1.2=r3.3.2_0
- r::r-rpart=4.1_10=r3.3.2_0
- r::r-rprojroot=1.1=r3.3.2_0
- r::r-rsqlite=1.1_1=r3.3.2_0
- r::r-rstudioapi=0.6=r3.3.2_0
- r::r-rvest=0.3.2=r3.3.2_0
- r::r-scales=0.4.1=r3.3.2_0
- r::r-selectr=0.3_0=r3.3.2_0
- r::r-shiny=0.14.2=r3.3.2_0
- r::r-sourcetools=0.1.5=r3.3.2_0
- r::r-sparsem=1.74=r3.3.2_0
- r::r-spatial=7.3_11=r3.3.2_0
- r::r-stringi=1.1.2=r3.3.2_0
- r::r-stringr=1.1.0=r3.3.2_0
- r::r-survival=2.40_1=r3.3.2_0
- r::r-tibble=1.2=r3.3.2_0
- r::r-tidyr=0.6.0=r3.3.2_0
- r::r-tidyverse=1.0.0=r3.3.2_0
- r::r-timedate=3012.100=1a
- r::r-tseries=0.10_35=r3.3.2_0
- r::r-uuid=0.1_2=r3.3.2_0
- r::r-whisker=0.3_2=r3.3.2_2
- r::r-withr=1.0.2=r3.3.2_0
- r::r-xml2=1.0.0=r3.3.2_0
- r::r-xtable=1.8_2=r3.3.2_0
- r::r-yaml=2.1.14=r3.3.2_0
- r::r-zoo=1.7_13=r3.3.2_0
- r::rpy2=2.8.5=py35r3.3.2_2
- readline=6.2=2
- requests=2.11.1=py35_0
- ruamel_yaml=0.11.14=py35_0
- setuptools=27.2.0=py35_0
- sqlite=3.13.0=0
- tk=8.5.18=0
- wheel=0.29.0=py35_0
- xarray=0.9.3=py35_0
- xz=5.2.2=0
- yaml=0.1.6=0
- zeromq=4.1.5=0
- zlib=1.2.8=3
- pip:
- ipython-genutils==0.2.0
- jupyter-client==5.0.1
- jupyter-console==5.1.0
- jupyter-core==4.3.0
- prompt-toolkit==1.0.14
- ruamel-yaml-==VERSION
prefix: /opt/conda
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