[pyngl-talk] I have some problems to install and use pyNIO.
Kevin Hallock
hallock at ucar.edu
Fri Jun 23 10:42:11 MDT 2017
Hi Seungeon,
We generally recommend installing PyNIO into its own conda environment, as its dependencies often conflict with the packages provided by Anaconda. Please try creating a new environment specifically for PyNIO using the following command:
conda create -n pynio -c conda-forge pynio
You will also need to run the command “source activate pynio” in order to use this environment. You might want to read our installation instructions for more information: https://www.pyngl.ucar.edu/Download/ <https://www.pyngl.ucar.edu/Download/>
I hope this helps,
Kevin
> On Jun 23, 2017, at 12:19 AM, 이승언 <seleekorean at korea.kr> wrote:
>
> Dear Kevin
>
> I installed PyNIO with the command "conda install pynio-1.4.4-np112py27_0.tar.bz2".
> in root environment.
> I had also tried to install "pynio-1.5.0_beta20160623-np111py27_0.tar.bz2".
> However, both were not work in my Anaconda environment.
>
> The installed packaged of Anaconda was following after this email.
> Thank you very much.
>
> Sincerely
>
> Lee, Seungeon
>
>
> Ps. My Anaconda2 packages are
>
> #
> _nb_ext_conf 0.2.0 py27_0
> alabaster 0.7.8 py27_0
> anaconda 4.1.1 np111py27_0
> anaconda-client 1.4.0 py27_0
> anaconda-navigator 1.2.1 py27_0
> argcomplete 1.0.0 py27_1
> astropy 1.2.1 np111py27_0
> babel 2.3.3 py27_0
> backports 1.0 py27_0
> backports_abc 0.4 py27_0
> beautifulsoup4 4.4.1 py27_0
> bitarray 0.8.1 py27_0
> blaze 0.10.1 py27_0
> bokeh 0.12.0 py27_0
> boto 2.40.0 py27_0
> bottleneck 1.1.0 np111py27_0
> cdecimal 2.3 py27_2
> cffi 1.6.0 py27_0
> chest 0.2.3 py27_0
> click 6.6 py27_0
> cloudpickle 0.2.1 py27_0
> clyent 1.2.2 py27_0
> colorama 0.3.7 py27_0
> conda 4.1.6 py27_0
> conda-build 1.21.3 py27_0
> conda-env 2.5.1 py27_0
> configobj 5.0.6 py27_0
> configparser 3.5.0b2 py27_1
> contextlib2 0.5.3 py27_0
> cryptography 1.4 py27_0
> curl 7.49.0 0
> cycler 0.10.0 py27_0
> cython 0.24 py27_0
> cytoolz 0.8.0 py27_0
> dask 0.10.0 py27_0
> datashape 0.5.2 py27_0
> decorator 4.0.10 py27_0
> dfgui 0.1 <pip>
> dill 0.2.5 py27_0
> docutils 0.12 py27_2
> dynd-python 0.7.2 py27_0
> entrypoints 0.2.2 py27_0
> enum34 1.1.6 py27_0
> et_xmlfile 1.0.1 py27_0
> fastcache 1.0.2 py27_1
> arm_pyart 1.8.0 np111py27_0
> basemap 1.0.7 np111py27_0
> biggus 0.14.0 py27_0
> cairo 1.12.18 6
> cartopy 0.14.2 np110py27_0
> cf_units 1.1 py27_0
> cube_browser 1.1 py27_0
> esmf 7.0.0 6
> esmpy 7.0.0 py27_1
> fabric 1.11.1 py27_0
> gdk-pixbuf 2.32.2 2
> geos 3.4.2 4
> ghost.py 0.2.3 py27_0
> glib 2.43.0 2
> gtk 3.16.6 2
> gtk-plus 2.18.3 0
> harfbuzz 1.0.6 3
> hdf5 1.10.0alpha1 1
> ipywidgets 5.2.2 py27_0
> iris 1.9.2 np18py27_0
> iris_grib 0.9.0 py27_3
> iris_sample_data 2.0.0 py27_0
> jasper 1.900.1 5
> jpeg 8d 2
> kealib 1.4.5 0
> libgdal 2.0.0 2
> libiconv 1.14 4
> libmo_unpack 3.0 3
> libpng 1.6.22 0
> line_profiler 1.1 py27_0
> mo_pack 0.2.0 np110py27_1
> nc_time_axis 1.0.0 py27_0
> netcdf-fortran 4.4.3 1
> netcdf4 1.2.4 np111py27_0
> pango 1.36.8 2
> paramiko 2.0.2 py27_0
> prettytable 0.7.2 py27_2
> proj.4 4.9.1 1
> proj4 4.9.3 3
> pygrib 2.0.2 py27_0
> pyke 1.1.1 py27_1
> pyngl 1.5.0_beta20161122 np111py27_1
> pynio 1.4.4 np112py27_0
> pyshp 1.2.3 py27_0
> python-dateutil 2.2 py27_0
> shapely 1.5.13 np18py27_1
> sphinx 1.5.4 py27_0
> spyder 3.0.0b4 py27_2
> traitlets 4.2.2 py27_0
> traits 4.5.0 py27_0
> udunits2 2.2.20 0
> widgetsnbextension 1.2.6 py27_3
> wxpython 3.0.0.0 py27_2
> xerces-c 3.1.4 2
> flask 0.11.1 py27_0
> flask-cors 2.1.2 py27_0
> fontconfig 2.11.1 6
> freetype 2.5.5 1
> funcsigs 1.0.2 py27_0
> functools32 3.2.3.2 py27_0
> futures 3.0.5 py27_0
> get_terminal_size 1.0.0 py27_0
> gevent 1.1.1 py27_0
> greenlet 0.4.10 py27_0
> grin 1.2.1 py27_3
> h5py 2.6.0 np111py27_1
> heapdict 1.0.0 py27_1
> idna 2.1 py27_0
> imagesize 0.7.1 py27_0
> ipaddress 1.0.16 py27_0
> ipykernel 4.3.1 py27_0
> ipython 4.2.0 py27_0
> ipython_genutils 0.1.0 py27_0
> itsdangerous 0.24 py27_0
> jbig 2.1 0
> jdcal 1.2 py27_1
> jedi 0.9.0 py27_1
> jinja2 2.8 py27_1
> jsonschema 2.5.1 py27_0
> jupyter 1.0.0 py27_3
> jupyter_client 4.3.0 py27_0
> jupyter_console 4.1.1 py27_0
> jupyter_core 4.1.0 py27_0
> libdynd 0.7.2 0
> libffi 3.2.1 0
> libgfortran 3.0.0 1
> libsodium 1.0.10 0
> libtiff 4.0.6 2
> libxml2 2.9.2 0
> libxslt 1.1.28 0
> llvmlite 0.11.0 py27_0
> locket 0.2.0 py27_1
> lxml 3.6.0 py27_0
> markupsafe 0.23 py27_2
> matplotlib 1.5.1 np111py27_0
> mistune 0.7.2 py27_0
> mkl 11.3.3 0
> mkl-service 1.1.2 py27_2
> mpmath 0.19 py27_1
> multipledispatch 0.4.8 py27_0
> nb_anacondacloud 1.1.0 py27_0
> nb_conda 1.1.0 py27_0
> nb_conda_kernels 1.0.3 py27_0
> nbconvert 4.2.0 py27_0
> nbformat 4.0.1 py27_0
> nbpresent 3.0.2 py27_0
> networkx 1.11 py27_0
> nltk 3.2.1 py27_0
> nose 1.3.7 py27_1
> notebook 4.2.1 py27_0
> numba 0.26.0 np111py27_0
> numexpr 2.6.0 np111py27_0
> numpy 1.11.1 py27_0
> odo 0.5.0 py27_1
> openpyxl 2.3.2 py27_0
> openssl 1.0.2h 1
> pandas 0.18.1 np111py27_0
> partd 0.3.4 py27_0
> patchelf 0.9 0
> path.py 8.2.1 py27_0
> pathlib2 2.1.0 py27_0
> patsy 0.4.1 py27_0
> pep8 1.7.0 py27_0
> pexpect 4.0.1 py27_0
> pickleshare 0.7.2 py27_0
> pillow 3.2.0 py27_1
> pip 8.1.2 py27_0
> pixman 0.32.6 0
> ply 3.8 py27_0
> psutil 4.3.0 py27_0
> ptyprocess 0.5.1 py27_0
> py 1.4.31 py27_0
> pyasn1 0.1.9 py27_0
> pycairo 1.10.0 py27_0
> pycosat 0.6.1 py27_1
> pycparser 2.14 py27_1
> pycrypto 2.6.1 py27_4
> pycurl 7.43.0 py27_0
> pyflakes 1.2.3 py27_0
> pygments 2.1.3 py27_0
> pyopenssl 0.16.0 py27_0
> pyparsing 2.1.4 py27_0
> pyqt 4.11.4 py27_3
> pyspread 0.3.3 <pip>
> pytables 3.2.2 np111py27_4
> pytest 2.9.2 py27_0
> python 2.7.12 1
> pytz 2016.4 py27_0
> pyyaml 3.11 py27_4
> pyzmq 15.2.0 py27_1
> qt 4.8.7 3
> qtconsole 4.2.1 py27_0
> qtpy 1.0.2 py27_0
> readline 6.2 2
> redis 3.2.0 0
> redis-py 2.10.5 py27_0
> requests 2.10.0 py27_0
> rope 0.9.4 py27_1
> ruamel_yaml 0.11.7 py27_0
> scikit-image 0.12.3 np111py27_1
> scikit-learn 0.17.1 np111py27_2
> scipy 0.17.1 np111py27_1
> setuptools 23.0.0 py27_0
> simplegeneric 0.8.1 py27_1
> singledispatch 3.4.0.3 py27_0
> sip 4.16.9 py27_0
> six 1.10.0 py27_0
> snowballstemmer 1.2.1 py27_0
> sockjs-tornado 1.0.3 py27_0
> sphinx_rtd_theme 0.1.9 py27_0
> sqlalchemy 1.0.13 py27_0
> sqlite 3.13.0 0
> ssl_match_hostname 3.4.0.2 py27_1
> statsmodels 0.6.1 np111py27_1
> sympy 1.0 py27_0
> terminado 0.6 py27_0
> tk 8.5.18 0
> toolz 0.8.0 py27_0
> tornado 4.3 py27_1
> unicodecsv 0.14.1 py27_0
> werkzeug 0.11.10 py27_0
> wheel 0.29.0 py27_0
> xlrd 1.0.0 py27_0
> xlsxwriter 0.9.2 py27_0
> xlwt 1.1.2 py27_0
> xz 5.2.2 0
> yaml 0.1.6 0
> zeromq 4.1.4 0
> zlib 1.2.8 3
>
> --------- 원본 메일 ---------
> 보낸사람 : Kevin Hallock <hallock at ucar.edu>
> 받는사람 : "이승언" <seleekorean at korea.kr>
> 참조 : "pyngl-talk at ucar.edu talk" <pyngl-talk at ucar.edu>
> 받은날짜 : 2017년 Jun 23일(Fri) 08:42:41
> 제목 : Re: [pyngl-talk] I have some problems to install and use pyNIO.
> Hi Seungeon,
>
> Could you please provide the command you used to install PyNIO in Anaconda? Are you using a conda “environment” (“conda create _____”), or are you installing directly to the Anaconda “root environment” (“conda install _____”)?
>
> Thanks,
> Kevin
>
>> On Jun 22, 2017, at 4:54 PM, 이승언 <seleekorean at korea.kr <mailto:seleekorean at korea.kr>> wrote:
>>
>> Dear NCAR manager
>>
>> Thanks for your kind help I respond to the email for subscribing.
>> Then I send my request again.
>>
>> I have tried to install pyNIO at Anaconda2 in linux server.
>> After pyNIO was installed and I tried to importing it in python,
>> this error messages were shown.
>> "ImportError: libjpeg.so.9: cannot open shared object file: No such file or directory"
>>
>> Then I installed the package "jpeg-9b-0.tar.bz2".
>> I could not use the Internet in the linux server, so I installed it with
>> "conda install jpeg-9b-0.tar.bz2"
>>
>> I tried importing pyNIO again but the other version of that package had problems.
>> "ImportError: libjpeg.so.8: cannot open shared object file: No such file or directory"
>>
>> I don't know why pyNIO requested both libjpeg.so.8 and libjpeg.so.9.
>> Could you help how can I install and use pyNIO properly in Anaconda2 environment?
>> Your reply will be really helpful to me.
>>
>> Sincerely
>>
>>
>> Lee, Seungeon
>>
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>
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